Add GitHub ML run 20261110T183646000000Z-aa8362d6
Browse files
coverage/20261110T183646000000Z-aa8362d6.json
ADDED
|
@@ -0,0 +1,2812 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"complete_sweep": false,
|
| 3 |
+
"date_field": "created",
|
| 4 |
+
"end": "2026-09-24",
|
| 5 |
+
"mode": "historical-sample",
|
| 6 |
+
"queries": [
|
| 7 |
+
{
|
| 8 |
+
"coverage_gap": false,
|
| 9 |
+
"coverage_gap_reason": null,
|
| 10 |
+
"incomplete_results": false,
|
| 11 |
+
"pages_scanned": 1,
|
| 12 |
+
"query": "exoplanet in:description \"machine learning\" created:2011-01-01..2011-12-31",
|
| 13 |
+
"query_id": "science.exoplanets",
|
| 14 |
+
"repositories_observed_on_last_page": 0,
|
| 15 |
+
"sampled_first_page": true,
|
| 16 |
+
"search_limit_reached": false,
|
| 17 |
+
"status": "complete",
|
| 18 |
+
"total_count": 0,
|
| 19 |
+
"year": 2011
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"coverage_gap": false,
|
| 23 |
+
"coverage_gap_reason": null,
|
| 24 |
+
"incomplete_results": false,
|
| 25 |
+
"pages_scanned": 1,
|
| 26 |
+
"query": "\"dataset distillation\" in:description,readme created:2011-01-01..2011-12-31",
|
| 27 |
+
"query_id": "specialized.dataset-distillation",
|
| 28 |
+
"repositories_observed_on_last_page": 0,
|
| 29 |
+
"sampled_first_page": true,
|
| 30 |
+
"search_limit_reached": false,
|
| 31 |
+
"status": "complete",
|
| 32 |
+
"total_count": 0,
|
| 33 |
+
"year": 2011
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"coverage_gap": false,
|
| 37 |
+
"coverage_gap_reason": null,
|
| 38 |
+
"incomplete_results": false,
|
| 39 |
+
"pages_scanned": 1,
|
| 40 |
+
"query": "\"time series foundation model\" in:description created:2011-01-01..2011-12-31",
|
| 41 |
+
"query_id": "timeseries.foundation-models",
|
| 42 |
+
"repositories_observed_on_last_page": 0,
|
| 43 |
+
"sampled_first_page": true,
|
| 44 |
+
"search_limit_reached": false,
|
| 45 |
+
"status": "complete",
|
| 46 |
+
"total_count": 0,
|
| 47 |
+
"year": 2011
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"coverage_gap": false,
|
| 51 |
+
"coverage_gap_reason": null,
|
| 52 |
+
"incomplete_results": false,
|
| 53 |
+
"pages_scanned": 1,
|
| 54 |
+
"query": "\"causal effect estimation\" in:description created:2011-01-01..2011-12-31",
|
| 55 |
+
"query_id": "trust.causal-effect-estimation",
|
| 56 |
+
"repositories_observed_on_last_page": 0,
|
| 57 |
+
"sampled_first_page": true,
|
| 58 |
+
"search_limit_reached": false,
|
| 59 |
+
"status": "complete",
|
| 60 |
+
"total_count": 0,
|
| 61 |
+
"year": 2011
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"coverage_gap": false,
|
| 65 |
+
"coverage_gap_reason": null,
|
| 66 |
+
"incomplete_results": false,
|
| 67 |
+
"pages_scanned": 1,
|
| 68 |
+
"query": "\"image diffusion model\" in:readme created:2011-01-01..2011-12-31",
|
| 69 |
+
"query_id": "vision.image-diffusion",
|
| 70 |
+
"repositories_observed_on_last_page": 0,
|
| 71 |
+
"sampled_first_page": true,
|
| 72 |
+
"search_limit_reached": false,
|
| 73 |
+
"status": "complete",
|
| 74 |
+
"total_count": 0,
|
| 75 |
+
"year": 2011
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"coverage_gap": false,
|
| 79 |
+
"coverage_gap_reason": null,
|
| 80 |
+
"incomplete_results": false,
|
| 81 |
+
"pages_scanned": 1,
|
| 82 |
+
"query": "\"credit scoring\" in:description created:2011-01-01..2011-12-31",
|
| 83 |
+
"query_id": "applied.credit-scoring",
|
| 84 |
+
"repositories_observed_on_last_page": 1,
|
| 85 |
+
"sampled_first_page": true,
|
| 86 |
+
"search_limit_reached": false,
|
| 87 |
+
"status": "complete",
|
| 88 |
+
"total_count": 1,
|
| 89 |
+
"year": 2011
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"coverage_gap": false,
|
| 93 |
+
"coverage_gap_reason": null,
|
| 94 |
+
"incomplete_results": false,
|
| 95 |
+
"pages_scanned": 1,
|
| 96 |
+
"query": "\"inverse folding\" in:readme created:2011-01-01..2011-12-31",
|
| 97 |
+
"query_id": "bio.inverse-folding",
|
| 98 |
+
"repositories_observed_on_last_page": 0,
|
| 99 |
+
"sampled_first_page": true,
|
| 100 |
+
"search_limit_reached": false,
|
| 101 |
+
"status": "complete",
|
| 102 |
+
"total_count": 0,
|
| 103 |
+
"year": 2011
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"coverage_gap": false,
|
| 107 |
+
"coverage_gap_reason": null,
|
| 108 |
+
"incomplete_results": false,
|
| 109 |
+
"pages_scanned": 1,
|
| 110 |
+
"query": "\"FlashAttention\" in:description created:2011-01-01..2011-12-31",
|
| 111 |
+
"query_id": "efficiency.flash-attention",
|
| 112 |
+
"repositories_observed_on_last_page": 0,
|
| 113 |
+
"sampled_first_page": true,
|
| 114 |
+
"search_limit_reached": false,
|
| 115 |
+
"status": "complete",
|
| 116 |
+
"total_count": 0,
|
| 117 |
+
"year": 2011
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"coverage_gap": false,
|
| 121 |
+
"coverage_gap_reason": null,
|
| 122 |
+
"incomplete_results": false,
|
| 123 |
+
"pages_scanned": 1,
|
| 124 |
+
"query": "\"causal forest\" econometrics in:description,readme created:2011-01-01..2011-12-31",
|
| 125 |
+
"query_id": "gap2026.econometrics-causal-forest",
|
| 126 |
+
"repositories_observed_on_last_page": 0,
|
| 127 |
+
"sampled_first_page": true,
|
| 128 |
+
"search_limit_reached": false,
|
| 129 |
+
"status": "complete",
|
| 130 |
+
"total_count": 0,
|
| 131 |
+
"year": 2011
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"coverage_gap": false,
|
| 135 |
+
"coverage_gap_reason": null,
|
| 136 |
+
"incomplete_results": false,
|
| 137 |
+
"pages_scanned": 1,
|
| 138 |
+
"query": "\"continual learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 139 |
+
"query_id": "general.continual-learning",
|
| 140 |
+
"repositories_observed_on_last_page": 0,
|
| 141 |
+
"sampled_first_page": true,
|
| 142 |
+
"search_limit_reached": false,
|
| 143 |
+
"status": "complete",
|
| 144 |
+
"total_count": 0,
|
| 145 |
+
"year": 2011
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"coverage_gap": false,
|
| 149 |
+
"coverage_gap_reason": null,
|
| 150 |
+
"incomplete_results": false,
|
| 151 |
+
"pages_scanned": 1,
|
| 152 |
+
"query": "\"Earth observation foundation model\" in:description,readme created:2011-01-01..2011-12-31",
|
| 153 |
+
"query_id": "geo.foundation-models-earth",
|
| 154 |
+
"repositories_observed_on_last_page": 0,
|
| 155 |
+
"sampled_first_page": true,
|
| 156 |
+
"search_limit_reached": false,
|
| 157 |
+
"status": "complete",
|
| 158 |
+
"total_count": 0,
|
| 159 |
+
"year": 2011
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"coverage_gap": false,
|
| 163 |
+
"coverage_gap_reason": null,
|
| 164 |
+
"incomplete_results": false,
|
| 165 |
+
"pages_scanned": 1,
|
| 166 |
+
"query": "\"graph diffusion model\" in:description created:2011-01-01..2011-12-31",
|
| 167 |
+
"query_id": "graph.graph-diffusion",
|
| 168 |
+
"repositories_observed_on_last_page": 0,
|
| 169 |
+
"sampled_first_page": true,
|
| 170 |
+
"search_limit_reached": false,
|
| 171 |
+
"status": "complete",
|
| 172 |
+
"total_count": 0,
|
| 173 |
+
"year": 2011
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"coverage_gap": false,
|
| 177 |
+
"coverage_gap_reason": null,
|
| 178 |
+
"incomplete_results": false,
|
| 179 |
+
"pages_scanned": 1,
|
| 180 |
+
"query": "\"foundation model\" in:description created:2011-01-01..2011-12-31",
|
| 181 |
+
"query_id": "llm.foundation-models",
|
| 182 |
+
"repositories_observed_on_last_page": 0,
|
| 183 |
+
"sampled_first_page": true,
|
| 184 |
+
"search_limit_reached": false,
|
| 185 |
+
"status": "complete",
|
| 186 |
+
"total_count": 0,
|
| 187 |
+
"year": 2011
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"coverage_gap": false,
|
| 191 |
+
"coverage_gap_reason": null,
|
| 192 |
+
"incomplete_results": false,
|
| 193 |
+
"pages_scanned": 1,
|
| 194 |
+
"query": "ECG \"deep learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 195 |
+
"query_id": "medical.ecg",
|
| 196 |
+
"repositories_observed_on_last_page": 0,
|
| 197 |
+
"sampled_first_page": true,
|
| 198 |
+
"search_limit_reached": false,
|
| 199 |
+
"status": "complete",
|
| 200 |
+
"total_count": 0,
|
| 201 |
+
"year": 2011
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"coverage_gap": false,
|
| 205 |
+
"coverage_gap_reason": null,
|
| 206 |
+
"incomplete_results": false,
|
| 207 |
+
"pages_scanned": 1,
|
| 208 |
+
"query": "\"image-text\" in:description created:2011-01-01..2011-12-31",
|
| 209 |
+
"query_id": "multimodal.image-text",
|
| 210 |
+
"repositories_observed_on_last_page": 6,
|
| 211 |
+
"sampled_first_page": true,
|
| 212 |
+
"search_limit_reached": false,
|
| 213 |
+
"status": "complete",
|
| 214 |
+
"total_count": 6,
|
| 215 |
+
"year": 2011
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"coverage_gap": false,
|
| 219 |
+
"coverage_gap_reason": null,
|
| 220 |
+
"incomplete_results": false,
|
| 221 |
+
"pages_scanned": 1,
|
| 222 |
+
"query": "\"machine translation\" in:description created:2011-01-01..2011-12-31",
|
| 223 |
+
"query_id": "nlp.machine-translation",
|
| 224 |
+
"repositories_observed_on_last_page": 9,
|
| 225 |
+
"sampled_first_page": true,
|
| 226 |
+
"search_limit_reached": false,
|
| 227 |
+
"status": "complete",
|
| 228 |
+
"total_count": 9,
|
| 229 |
+
"year": 2011
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"coverage_gap": false,
|
| 233 |
+
"coverage_gap_reason": null,
|
| 234 |
+
"incomplete_results": false,
|
| 235 |
+
"pages_scanned": 1,
|
| 236 |
+
"query": "\"feature selection\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 237 |
+
"query_id": "probable.data-feature-selection",
|
| 238 |
+
"repositories_observed_on_last_page": 5,
|
| 239 |
+
"sampled_first_page": true,
|
| 240 |
+
"search_limit_reached": false,
|
| 241 |
+
"status": "complete",
|
| 242 |
+
"total_count": 5,
|
| 243 |
+
"year": 2011
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"coverage_gap": false,
|
| 247 |
+
"coverage_gap_reason": null,
|
| 248 |
+
"incomplete_results": false,
|
| 249 |
+
"pages_scanned": 1,
|
| 250 |
+
"query": "\"epidemic forecasting\" in:name,description,readme created:2011-01-01..2011-12-31",
|
| 251 |
+
"query_id": "recall.epidemic-forecasting",
|
| 252 |
+
"repositories_observed_on_last_page": 1,
|
| 253 |
+
"sampled_first_page": true,
|
| 254 |
+
"search_limit_reached": false,
|
| 255 |
+
"status": "complete",
|
| 256 |
+
"total_count": 1,
|
| 257 |
+
"year": 2011
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"coverage_gap": false,
|
| 261 |
+
"coverage_gap_reason": null,
|
| 262 |
+
"incomplete_results": false,
|
| 263 |
+
"pages_scanned": 1,
|
| 264 |
+
"query": "\"visual grounding\" in:description,readme created:2011-01-01..2011-12-31",
|
| 265 |
+
"query_id": "recall26.visual-grounding",
|
| 266 |
+
"repositories_observed_on_last_page": 0,
|
| 267 |
+
"sampled_first_page": true,
|
| 268 |
+
"search_limit_reached": false,
|
| 269 |
+
"status": "complete",
|
| 270 |
+
"total_count": 0,
|
| 271 |
+
"year": 2011
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"coverage_gap": false,
|
| 275 |
+
"coverage_gap_reason": null,
|
| 276 |
+
"incomplete_results": false,
|
| 277 |
+
"pages_scanned": 1,
|
| 278 |
+
"query": "topic:game-ai created:2011-01-01..2011-12-31",
|
| 279 |
+
"query_id": "rl.games",
|
| 280 |
+
"repositories_observed_on_last_page": 2,
|
| 281 |
+
"sampled_first_page": true,
|
| 282 |
+
"search_limit_reached": false,
|
| 283 |
+
"status": "complete",
|
| 284 |
+
"total_count": 2,
|
| 285 |
+
"year": 2011
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"coverage_gap": false,
|
| 289 |
+
"coverage_gap_reason": null,
|
| 290 |
+
"incomplete_results": false,
|
| 291 |
+
"pages_scanned": 1,
|
| 292 |
+
"query": "\"robot locomotion\" in:description created:2011-01-01..2011-12-31",
|
| 293 |
+
"query_id": "robotics.locomotion",
|
| 294 |
+
"repositories_observed_on_last_page": 0,
|
| 295 |
+
"sampled_first_page": true,
|
| 296 |
+
"search_limit_reached": false,
|
| 297 |
+
"status": "complete",
|
| 298 |
+
"total_count": 0,
|
| 299 |
+
"year": 2011
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"coverage_gap": false,
|
| 303 |
+
"coverage_gap_reason": null,
|
| 304 |
+
"incomplete_results": false,
|
| 305 |
+
"pages_scanned": 1,
|
| 306 |
+
"query": "\"fluid dynamics\" in:description created:2011-01-01..2011-12-31",
|
| 307 |
+
"query_id": "science.fluid-dynamics",
|
| 308 |
+
"repositories_observed_on_last_page": 6,
|
| 309 |
+
"sampled_first_page": true,
|
| 310 |
+
"search_limit_reached": false,
|
| 311 |
+
"status": "complete",
|
| 312 |
+
"total_count": 6,
|
| 313 |
+
"year": 2011
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"coverage_gap": false,
|
| 317 |
+
"coverage_gap_reason": null,
|
| 318 |
+
"incomplete_results": false,
|
| 319 |
+
"pages_scanned": 1,
|
| 320 |
+
"query": "\"event camera\" \"deep learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 321 |
+
"query_id": "specialized.event-camera-deep-learning",
|
| 322 |
+
"repositories_observed_on_last_page": 0,
|
| 323 |
+
"sampled_first_page": true,
|
| 324 |
+
"search_limit_reached": false,
|
| 325 |
+
"status": "complete",
|
| 326 |
+
"total_count": 0,
|
| 327 |
+
"year": 2011
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"coverage_gap": false,
|
| 331 |
+
"coverage_gap_reason": null,
|
| 332 |
+
"incomplete_results": false,
|
| 333 |
+
"pages_scanned": 1,
|
| 334 |
+
"query": "\"time series imputation\" in:description,readme created:2011-01-01..2011-12-31",
|
| 335 |
+
"query_id": "timeseries.imputation",
|
| 336 |
+
"repositories_observed_on_last_page": 0,
|
| 337 |
+
"sampled_first_page": true,
|
| 338 |
+
"search_limit_reached": false,
|
| 339 |
+
"status": "complete",
|
| 340 |
+
"total_count": 0,
|
| 341 |
+
"year": 2011
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"coverage_gap": false,
|
| 345 |
+
"coverage_gap_reason": null,
|
| 346 |
+
"incomplete_results": false,
|
| 347 |
+
"pages_scanned": 1,
|
| 348 |
+
"query": "\"causal mediation analysis\" in:description created:2011-01-01..2011-12-31",
|
| 349 |
+
"query_id": "trust.causal-mediation",
|
| 350 |
+
"repositories_observed_on_last_page": 0,
|
| 351 |
+
"sampled_first_page": true,
|
| 352 |
+
"search_limit_reached": false,
|
| 353 |
+
"status": "complete",
|
| 354 |
+
"total_count": 0,
|
| 355 |
+
"year": 2011
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"coverage_gap": false,
|
| 359 |
+
"coverage_gap_reason": null,
|
| 360 |
+
"incomplete_results": false,
|
| 361 |
+
"pages_scanned": 1,
|
| 362 |
+
"query": "\"image restoration\" in:readme created:2011-01-01..2011-12-31",
|
| 363 |
+
"query_id": "vision.image-restoration",
|
| 364 |
+
"repositories_observed_on_last_page": 1,
|
| 365 |
+
"sampled_first_page": true,
|
| 366 |
+
"search_limit_reached": false,
|
| 367 |
+
"status": "complete",
|
| 368 |
+
"total_count": 1,
|
| 369 |
+
"year": 2011
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"coverage_gap": false,
|
| 373 |
+
"coverage_gap_reason": null,
|
| 374 |
+
"incomplete_results": false,
|
| 375 |
+
"pages_scanned": 1,
|
| 376 |
+
"query": "\"customer lifetime value\" in:description created:2011-01-01..2011-12-31",
|
| 377 |
+
"query_id": "applied.customer-lifetime-value",
|
| 378 |
+
"repositories_observed_on_last_page": 0,
|
| 379 |
+
"sampled_first_page": true,
|
| 380 |
+
"search_limit_reached": false,
|
| 381 |
+
"status": "complete",
|
| 382 |
+
"total_count": 0,
|
| 383 |
+
"year": 2011
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"coverage_gap": false,
|
| 387 |
+
"coverage_gap_reason": null,
|
| 388 |
+
"incomplete_results": false,
|
| 389 |
+
"pages_scanned": 1,
|
| 390 |
+
"query": "\"metagenomic classification\" in:description,readme created:2011-01-01..2011-12-31",
|
| 391 |
+
"query_id": "bio.metagenomics",
|
| 392 |
+
"repositories_observed_on_last_page": 0,
|
| 393 |
+
"sampled_first_page": true,
|
| 394 |
+
"search_limit_reached": false,
|
| 395 |
+
"status": "complete",
|
| 396 |
+
"total_count": 0,
|
| 397 |
+
"year": 2011
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"coverage_gap": false,
|
| 401 |
+
"coverage_gap_reason": null,
|
| 402 |
+
"incomplete_results": false,
|
| 403 |
+
"pages_scanned": 1,
|
| 404 |
+
"query": "\"GPU kernel\" in:description created:2011-01-01..2011-12-31",
|
| 405 |
+
"query_id": "efficiency.gpu-kernels",
|
| 406 |
+
"repositories_observed_on_last_page": 2,
|
| 407 |
+
"sampled_first_page": true,
|
| 408 |
+
"search_limit_reached": false,
|
| 409 |
+
"status": "complete",
|
| 410 |
+
"total_count": 2,
|
| 411 |
+
"year": 2011
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"coverage_gap": false,
|
| 415 |
+
"coverage_gap_reason": null,
|
| 416 |
+
"incomplete_results": false,
|
| 417 |
+
"pages_scanned": 1,
|
| 418 |
+
"query": "\"double machine learning\" econometrics in:description,readme created:2011-01-01..2011-12-31",
|
| 419 |
+
"query_id": "gap2026.econometrics-double-ml",
|
| 420 |
+
"repositories_observed_on_last_page": 0,
|
| 421 |
+
"sampled_first_page": true,
|
| 422 |
+
"search_limit_reached": false,
|
| 423 |
+
"status": "complete",
|
| 424 |
+
"total_count": 0,
|
| 425 |
+
"year": 2011
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"coverage_gap": false,
|
| 429 |
+
"coverage_gap_reason": null,
|
| 430 |
+
"incomplete_results": false,
|
| 431 |
+
"pages_scanned": 1,
|
| 432 |
+
"query": "\"contrastive learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 433 |
+
"query_id": "general.contrastive-learning",
|
| 434 |
+
"repositories_observed_on_last_page": 0,
|
| 435 |
+
"sampled_first_page": true,
|
| 436 |
+
"search_limit_reached": false,
|
| 437 |
+
"status": "complete",
|
| 438 |
+
"total_count": 0,
|
| 439 |
+
"year": 2011
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"coverage_gap": false,
|
| 443 |
+
"coverage_gap_reason": null,
|
| 444 |
+
"incomplete_results": false,
|
| 445 |
+
"pages_scanned": 1,
|
| 446 |
+
"query": "\"geospatial foundation model\" in:readme created:2011-01-01..2011-12-31",
|
| 447 |
+
"query_id": "geo.geospatial-foundation-models",
|
| 448 |
+
"repositories_observed_on_last_page": 0,
|
| 449 |
+
"sampled_first_page": true,
|
| 450 |
+
"search_limit_reached": false,
|
| 451 |
+
"status": "complete",
|
| 452 |
+
"total_count": 0,
|
| 453 |
+
"year": 2011
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"coverage_gap": false,
|
| 457 |
+
"coverage_gap_reason": null,
|
| 458 |
+
"incomplete_results": false,
|
| 459 |
+
"pages_scanned": 1,
|
| 460 |
+
"query": "\"graph foundation model\" in:description created:2011-01-01..2011-12-31",
|
| 461 |
+
"query_id": "graph.graph-foundation-model",
|
| 462 |
+
"repositories_observed_on_last_page": 0,
|
| 463 |
+
"sampled_first_page": true,
|
| 464 |
+
"search_limit_reached": false,
|
| 465 |
+
"status": "complete",
|
| 466 |
+
"total_count": 0,
|
| 467 |
+
"year": 2011
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"coverage_gap": false,
|
| 471 |
+
"coverage_gap_reason": null,
|
| 472 |
+
"incomplete_results": false,
|
| 473 |
+
"pages_scanned": 1,
|
| 474 |
+
"query": "\"generative AI\" in:description created:2011-01-01..2011-12-31",
|
| 475 |
+
"query_id": "llm.generative-ai",
|
| 476 |
+
"repositories_observed_on_last_page": 0,
|
| 477 |
+
"sampled_first_page": true,
|
| 478 |
+
"search_limit_reached": false,
|
| 479 |
+
"status": "complete",
|
| 480 |
+
"total_count": 0,
|
| 481 |
+
"year": 2011
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"coverage_gap": false,
|
| 485 |
+
"coverage_gap_reason": null,
|
| 486 |
+
"incomplete_results": false,
|
| 487 |
+
"pages_scanned": 1,
|
| 488 |
+
"query": "EEG \"deep learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 489 |
+
"query_id": "medical.eeg",
|
| 490 |
+
"repositories_observed_on_last_page": 0,
|
| 491 |
+
"sampled_first_page": true,
|
| 492 |
+
"search_limit_reached": false,
|
| 493 |
+
"status": "complete",
|
| 494 |
+
"total_count": 0,
|
| 495 |
+
"year": 2011
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"coverage_gap": false,
|
| 499 |
+
"coverage_gap_reason": null,
|
| 500 |
+
"incomplete_results": false,
|
| 501 |
+
"pages_scanned": 1,
|
| 502 |
+
"query": "\"image to 3D\" in:readme created:2011-01-01..2011-12-31",
|
| 503 |
+
"query_id": "multimodal.image-to-3d",
|
| 504 |
+
"repositories_observed_on_last_page": 0,
|
| 505 |
+
"sampled_first_page": true,
|
| 506 |
+
"search_limit_reached": false,
|
| 507 |
+
"status": "complete",
|
| 508 |
+
"total_count": 0,
|
| 509 |
+
"year": 2011
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"coverage_gap": false,
|
| 513 |
+
"coverage_gap_reason": null,
|
| 514 |
+
"incomplete_results": false,
|
| 515 |
+
"pages_scanned": 1,
|
| 516 |
+
"query": "\"named entity recognition\" in:readme created:2011-01-01..2011-12-31",
|
| 517 |
+
"query_id": "nlp.named-entity-recognition",
|
| 518 |
+
"repositories_observed_on_last_page": 14,
|
| 519 |
+
"sampled_first_page": true,
|
| 520 |
+
"search_limit_reached": false,
|
| 521 |
+
"status": "complete",
|
| 522 |
+
"total_count": 14,
|
| 523 |
+
"year": 2011
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"coverage_gap": false,
|
| 527 |
+
"coverage_gap_reason": null,
|
| 528 |
+
"incomplete_results": false,
|
| 529 |
+
"pages_scanned": 1,
|
| 530 |
+
"query": "\"data selection\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 531 |
+
"query_id": "probable.data-training-selection",
|
| 532 |
+
"repositories_observed_on_last_page": 0,
|
| 533 |
+
"sampled_first_page": true,
|
| 534 |
+
"search_limit_reached": false,
|
| 535 |
+
"status": "complete",
|
| 536 |
+
"total_count": 0,
|
| 537 |
+
"year": 2011
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"coverage_gap": false,
|
| 541 |
+
"coverage_gap_reason": null,
|
| 542 |
+
"incomplete_results": false,
|
| 543 |
+
"pages_scanned": 1,
|
| 544 |
+
"query": "\"epidemiological modeling\" machine learning in:name,description,readme created:2011-01-01..2011-12-31",
|
| 545 |
+
"query_id": "recall.epidemiological-modeling",
|
| 546 |
+
"repositories_observed_on_last_page": 0,
|
| 547 |
+
"sampled_first_page": true,
|
| 548 |
+
"search_limit_reached": false,
|
| 549 |
+
"status": "complete",
|
| 550 |
+
"total_count": 0,
|
| 551 |
+
"year": 2011
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"coverage_gap": false,
|
| 555 |
+
"coverage_gap_reason": null,
|
| 556 |
+
"incomplete_results": false,
|
| 557 |
+
"pages_scanned": 1,
|
| 558 |
+
"query": "\"hierarchical reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 559 |
+
"query_id": "rl.hierarchical",
|
| 560 |
+
"repositories_observed_on_last_page": 0,
|
| 561 |
+
"sampled_first_page": true,
|
| 562 |
+
"search_limit_reached": false,
|
| 563 |
+
"status": "complete",
|
| 564 |
+
"total_count": 0,
|
| 565 |
+
"year": 2011
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"coverage_gap": false,
|
| 569 |
+
"coverage_gap_reason": null,
|
| 570 |
+
"incomplete_results": false,
|
| 571 |
+
"pages_scanned": 1,
|
| 572 |
+
"query": "\"robot manipulation\" in:description created:2011-01-01..2011-12-31",
|
| 573 |
+
"query_id": "robotics.manipulation",
|
| 574 |
+
"repositories_observed_on_last_page": 0,
|
| 575 |
+
"sampled_first_page": true,
|
| 576 |
+
"search_limit_reached": false,
|
| 577 |
+
"status": "complete",
|
| 578 |
+
"total_count": 0,
|
| 579 |
+
"year": 2011
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"coverage_gap": false,
|
| 583 |
+
"coverage_gap_reason": null,
|
| 584 |
+
"incomplete_results": false,
|
| 585 |
+
"pages_scanned": 1,
|
| 586 |
+
"query": "fusion plasma in:description \"machine learning\" created:2011-01-01..2011-12-31",
|
| 587 |
+
"query_id": "science.fusion-plasma",
|
| 588 |
+
"repositories_observed_on_last_page": 0,
|
| 589 |
+
"sampled_first_page": true,
|
| 590 |
+
"search_limit_reached": false,
|
| 591 |
+
"status": "complete",
|
| 592 |
+
"total_count": 0,
|
| 593 |
+
"year": 2011
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"coverage_gap": false,
|
| 597 |
+
"coverage_gap_reason": null,
|
| 598 |
+
"incomplete_results": false,
|
| 599 |
+
"pages_scanned": 1,
|
| 600 |
+
"query": "\"fMRI decoding\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 601 |
+
"query_id": "specialized.fmri-decoding-ml",
|
| 602 |
+
"repositories_observed_on_last_page": 0,
|
| 603 |
+
"sampled_first_page": true,
|
| 604 |
+
"search_limit_reached": false,
|
| 605 |
+
"status": "complete",
|
| 606 |
+
"total_count": 0,
|
| 607 |
+
"year": 2011
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"coverage_gap": false,
|
| 611 |
+
"coverage_gap_reason": null,
|
| 612 |
+
"incomplete_results": false,
|
| 613 |
+
"pages_scanned": 1,
|
| 614 |
+
"query": "\"long horizon forecasting\" in:readme created:2011-01-01..2011-12-31",
|
| 615 |
+
"query_id": "timeseries.long-horizon",
|
| 616 |
+
"repositories_observed_on_last_page": 0,
|
| 617 |
+
"sampled_first_page": true,
|
| 618 |
+
"search_limit_reached": false,
|
| 619 |
+
"status": "complete",
|
| 620 |
+
"total_count": 0,
|
| 621 |
+
"year": 2011
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"coverage_gap": false,
|
| 625 |
+
"coverage_gap_reason": null,
|
| 626 |
+
"incomplete_results": false,
|
| 627 |
+
"pages_scanned": 1,
|
| 628 |
+
"query": "\"causal machine learning\" in:description created:2011-01-01..2011-12-31",
|
| 629 |
+
"query_id": "trust.causal-ml",
|
| 630 |
+
"repositories_observed_on_last_page": 0,
|
| 631 |
+
"sampled_first_page": true,
|
| 632 |
+
"search_limit_reached": false,
|
| 633 |
+
"status": "complete",
|
| 634 |
+
"total_count": 0,
|
| 635 |
+
"year": 2011
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"coverage_gap": false,
|
| 639 |
+
"coverage_gap_reason": null,
|
| 640 |
+
"incomplete_results": false,
|
| 641 |
+
"pages_scanned": 1,
|
| 642 |
+
"query": "\"image retrieval\" in:readme created:2011-01-01..2011-12-31",
|
| 643 |
+
"query_id": "vision.image-retrieval",
|
| 644 |
+
"repositories_observed_on_last_page": 6,
|
| 645 |
+
"sampled_first_page": true,
|
| 646 |
+
"search_limit_reached": false,
|
| 647 |
+
"status": "complete",
|
| 648 |
+
"total_count": 6,
|
| 649 |
+
"year": 2011
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"coverage_gap": false,
|
| 653 |
+
"coverage_gap_reason": null,
|
| 654 |
+
"incomplete_results": false,
|
| 655 |
+
"pages_scanned": 1,
|
| 656 |
+
"query": "\"customer segmentation\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 657 |
+
"query_id": "applied.customer-segmentation",
|
| 658 |
+
"repositories_observed_on_last_page": 1,
|
| 659 |
+
"sampled_first_page": true,
|
| 660 |
+
"search_limit_reached": false,
|
| 661 |
+
"status": "complete",
|
| 662 |
+
"total_count": 1,
|
| 663 |
+
"year": 2011
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"coverage_gap": false,
|
| 667 |
+
"coverage_gap_reason": null,
|
| 668 |
+
"incomplete_results": false,
|
| 669 |
+
"pages_scanned": 1,
|
| 670 |
+
"query": "\"microbiome\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 671 |
+
"query_id": "bio.microbiome",
|
| 672 |
+
"repositories_observed_on_last_page": 0,
|
| 673 |
+
"sampled_first_page": true,
|
| 674 |
+
"search_limit_reached": false,
|
| 675 |
+
"status": "complete",
|
| 676 |
+
"total_count": 0,
|
| 677 |
+
"year": 2011
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"coverage_gap": false,
|
| 681 |
+
"coverage_gap_reason": null,
|
| 682 |
+
"incomplete_results": false,
|
| 683 |
+
"pages_scanned": 1,
|
| 684 |
+
"query": "\"gradient-based optimization\" in:description created:2011-01-01..2011-12-31",
|
| 685 |
+
"query_id": "efficiency.gradient-optimization",
|
| 686 |
+
"repositories_observed_on_last_page": 0,
|
| 687 |
+
"sampled_first_page": true,
|
| 688 |
+
"search_limit_reached": false,
|
| 689 |
+
"status": "complete",
|
| 690 |
+
"total_count": 0,
|
| 691 |
+
"year": 2011
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"coverage_gap": false,
|
| 695 |
+
"coverage_gap_reason": null,
|
| 696 |
+
"incomplete_results": false,
|
| 697 |
+
"pages_scanned": 1,
|
| 698 |
+
"query": "\"heterogeneous treatment effects\" machine learning economics in:description,readme created:2011-01-01..2011-12-31",
|
| 699 |
+
"query_id": "gap2026.econometrics-heterogeneous-effects",
|
| 700 |
+
"repositories_observed_on_last_page": 0,
|
| 701 |
+
"sampled_first_page": true,
|
| 702 |
+
"search_limit_reached": false,
|
| 703 |
+
"status": "complete",
|
| 704 |
+
"total_count": 0,
|
| 705 |
+
"year": 2011
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"coverage_gap": false,
|
| 709 |
+
"coverage_gap_reason": null,
|
| 710 |
+
"incomplete_results": false,
|
| 711 |
+
"pages_scanned": 1,
|
| 712 |
+
"query": "\"decision tree\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 713 |
+
"query_id": "general.decision-trees",
|
| 714 |
+
"repositories_observed_on_last_page": 15,
|
| 715 |
+
"sampled_first_page": true,
|
| 716 |
+
"search_limit_reached": false,
|
| 717 |
+
"status": "complete",
|
| 718 |
+
"total_count": 15,
|
| 719 |
+
"year": 2011
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"coverage_gap": false,
|
| 723 |
+
"coverage_gap_reason": null,
|
| 724 |
+
"incomplete_results": false,
|
| 725 |
+
"pages_scanned": 1,
|
| 726 |
+
"query": "\"geospatial knowledge graph\" in:description,readme created:2011-01-01..2011-12-31",
|
| 727 |
+
"query_id": "geo.geospatial-knowledge-graph",
|
| 728 |
+
"repositories_observed_on_last_page": 0,
|
| 729 |
+
"sampled_first_page": true,
|
| 730 |
+
"search_limit_reached": false,
|
| 731 |
+
"status": "complete",
|
| 732 |
+
"total_count": 0,
|
| 733 |
+
"year": 2011
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"coverage_gap": false,
|
| 737 |
+
"coverage_gap_reason": null,
|
| 738 |
+
"incomplete_results": false,
|
| 739 |
+
"pages_scanned": 1,
|
| 740 |
+
"query": "\"graph generation\" in:readme created:2011-01-01..2011-12-31",
|
| 741 |
+
"query_id": "graph.graph-generation",
|
| 742 |
+
"repositories_observed_on_last_page": 18,
|
| 743 |
+
"sampled_first_page": true,
|
| 744 |
+
"search_limit_reached": false,
|
| 745 |
+
"status": "complete",
|
| 746 |
+
"total_count": 18,
|
| 747 |
+
"year": 2011
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"coverage_gap": false,
|
| 751 |
+
"coverage_gap_reason": null,
|
| 752 |
+
"incomplete_results": false,
|
| 753 |
+
"pages_scanned": 1,
|
| 754 |
+
"query": "\"instruction tuning\" in:readme created:2011-01-01..2011-12-31",
|
| 755 |
+
"query_id": "llm.instruction-tuning",
|
| 756 |
+
"repositories_observed_on_last_page": 0,
|
| 757 |
+
"sampled_first_page": true,
|
| 758 |
+
"search_limit_reached": false,
|
| 759 |
+
"status": "complete",
|
| 760 |
+
"total_count": 0,
|
| 761 |
+
"year": 2011
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"coverage_gap": false,
|
| 765 |
+
"coverage_gap_reason": null,
|
| 766 |
+
"incomplete_results": false,
|
| 767 |
+
"pages_scanned": 1,
|
| 768 |
+
"query": "\"electronic health record\" in:readme created:2011-01-01..2011-12-31",
|
| 769 |
+
"query_id": "medical.ehr",
|
| 770 |
+
"repositories_observed_on_last_page": 8,
|
| 771 |
+
"sampled_first_page": true,
|
| 772 |
+
"search_limit_reached": false,
|
| 773 |
+
"status": "complete",
|
| 774 |
+
"total_count": 8,
|
| 775 |
+
"year": 2011
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"coverage_gap": false,
|
| 779 |
+
"coverage_gap_reason": null,
|
| 780 |
+
"incomplete_results": false,
|
| 781 |
+
"pages_scanned": 1,
|
| 782 |
+
"query": "\"image to video\" in:readme created:2011-01-01..2011-12-31",
|
| 783 |
+
"query_id": "multimodal.image-to-video",
|
| 784 |
+
"repositories_observed_on_last_page": 1,
|
| 785 |
+
"sampled_first_page": true,
|
| 786 |
+
"search_limit_reached": false,
|
| 787 |
+
"status": "complete",
|
| 788 |
+
"total_count": 1,
|
| 789 |
+
"year": 2011
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"coverage_gap": false,
|
| 793 |
+
"coverage_gap_reason": null,
|
| 794 |
+
"incomplete_results": false,
|
| 795 |
+
"pages_scanned": 1,
|
| 796 |
+
"query": "\"neural reranking\" in:description created:2011-01-01..2011-12-31",
|
| 797 |
+
"query_id": "nlp.neural-reranking",
|
| 798 |
+
"repositories_observed_on_last_page": 0,
|
| 799 |
+
"sampled_first_page": true,
|
| 800 |
+
"search_limit_reached": false,
|
| 801 |
+
"status": "complete",
|
| 802 |
+
"total_count": 0,
|
| 803 |
+
"year": 2011
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"coverage_gap": false,
|
| 807 |
+
"coverage_gap_reason": null,
|
| 808 |
+
"incomplete_results": false,
|
| 809 |
+
"pages_scanned": 1,
|
| 810 |
+
"query": "\"machine learning benchmark\" in:description,readme created:2011-01-01..2011-12-31",
|
| 811 |
+
"query_id": "probable.evaluation-ml-benchmark",
|
| 812 |
+
"repositories_observed_on_last_page": 0,
|
| 813 |
+
"sampled_first_page": true,
|
| 814 |
+
"search_limit_reached": false,
|
| 815 |
+
"status": "complete",
|
| 816 |
+
"total_count": 0,
|
| 817 |
+
"year": 2011
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"coverage_gap": false,
|
| 821 |
+
"coverage_gap_reason": null,
|
| 822 |
+
"incomplete_results": false,
|
| 823 |
+
"pages_scanned": 1,
|
| 824 |
+
"query": "\"grid stability prediction\" in:name,description,readme created:2011-01-01..2011-12-31",
|
| 825 |
+
"query_id": "recall.grid-stability-prediction",
|
| 826 |
+
"repositories_observed_on_last_page": 0,
|
| 827 |
+
"sampled_first_page": true,
|
| 828 |
+
"search_limit_reached": false,
|
| 829 |
+
"status": "complete",
|
| 830 |
+
"total_count": 0,
|
| 831 |
+
"year": 2011
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"coverage_gap": false,
|
| 835 |
+
"coverage_gap_reason": null,
|
| 836 |
+
"incomplete_results": false,
|
| 837 |
+
"pages_scanned": 1,
|
| 838 |
+
"query": "\"imitation learning\" in:description created:2011-01-01..2011-12-31",
|
| 839 |
+
"query_id": "rl.imitation-learning",
|
| 840 |
+
"repositories_observed_on_last_page": 0,
|
| 841 |
+
"sampled_first_page": true,
|
| 842 |
+
"search_limit_reached": false,
|
| 843 |
+
"status": "complete",
|
| 844 |
+
"total_count": 0,
|
| 845 |
+
"year": 2011
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"coverage_gap": false,
|
| 849 |
+
"coverage_gap_reason": null,
|
| 850 |
+
"incomplete_results": false,
|
| 851 |
+
"pages_scanned": 1,
|
| 852 |
+
"query": "\"robot navigation\" in:description created:2011-01-01..2011-12-31",
|
| 853 |
+
"query_id": "robotics.navigation",
|
| 854 |
+
"repositories_observed_on_last_page": 0,
|
| 855 |
+
"sampled_first_page": true,
|
| 856 |
+
"search_limit_reached": false,
|
| 857 |
+
"status": "complete",
|
| 858 |
+
"total_count": 0,
|
| 859 |
+
"year": 2011
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"coverage_gap": false,
|
| 863 |
+
"coverage_gap_reason": null,
|
| 864 |
+
"incomplete_results": false,
|
| 865 |
+
"pages_scanned": 1,
|
| 866 |
+
"query": "\"gravitational wave\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 867 |
+
"query_id": "science.gravitational-waves",
|
| 868 |
+
"repositories_observed_on_last_page": 0,
|
| 869 |
+
"sampled_first_page": true,
|
| 870 |
+
"search_limit_reached": false,
|
| 871 |
+
"status": "complete",
|
| 872 |
+
"total_count": 0,
|
| 873 |
+
"year": 2011
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"coverage_gap": false,
|
| 877 |
+
"coverage_gap_reason": null,
|
| 878 |
+
"incomplete_results": false,
|
| 879 |
+
"pages_scanned": 1,
|
| 880 |
+
"query": "\"machine unlearning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 881 |
+
"query_id": "specialized.machine-unlearning",
|
| 882 |
+
"repositories_observed_on_last_page": 0,
|
| 883 |
+
"sampled_first_page": true,
|
| 884 |
+
"search_limit_reached": false,
|
| 885 |
+
"status": "complete",
|
| 886 |
+
"total_count": 0,
|
| 887 |
+
"year": 2011
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"coverage_gap": false,
|
| 891 |
+
"coverage_gap_reason": null,
|
| 892 |
+
"incomplete_results": false,
|
| 893 |
+
"pages_scanned": 1,
|
| 894 |
+
"query": "\"multivariate time series\" in:description created:2011-01-01..2011-12-31",
|
| 895 |
+
"query_id": "timeseries.multivariate",
|
| 896 |
+
"repositories_observed_on_last_page": 1,
|
| 897 |
+
"sampled_first_page": true,
|
| 898 |
+
"search_limit_reached": false,
|
| 899 |
+
"status": "complete",
|
| 900 |
+
"total_count": 1,
|
| 901 |
+
"year": 2011
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"coverage_gap": false,
|
| 905 |
+
"coverage_gap_reason": null,
|
| 906 |
+
"incomplete_results": false,
|
| 907 |
+
"pages_scanned": 1,
|
| 908 |
+
"query": "\"causal representation learning\" in:description created:2011-01-01..2011-12-31",
|
| 909 |
+
"query_id": "trust.causal-representation-learning",
|
| 910 |
+
"repositories_observed_on_last_page": 0,
|
| 911 |
+
"sampled_first_page": true,
|
| 912 |
+
"search_limit_reached": false,
|
| 913 |
+
"status": "complete",
|
| 914 |
+
"total_count": 0,
|
| 915 |
+
"year": 2011
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"coverage_gap": false,
|
| 919 |
+
"coverage_gap_reason": null,
|
| 920 |
+
"incomplete_results": false,
|
| 921 |
+
"pages_scanned": 1,
|
| 922 |
+
"query": "\"image super-resolution\" in:readme created:2011-01-01..2011-12-31",
|
| 923 |
+
"query_id": "vision.image-super-resolution",
|
| 924 |
+
"repositories_observed_on_last_page": 1,
|
| 925 |
+
"sampled_first_page": true,
|
| 926 |
+
"search_limit_reached": false,
|
| 927 |
+
"status": "complete",
|
| 928 |
+
"total_count": 1,
|
| 929 |
+
"year": 2011
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"coverage_gap": false,
|
| 933 |
+
"coverage_gap_reason": null,
|
| 934 |
+
"incomplete_results": false,
|
| 935 |
+
"pages_scanned": 1,
|
| 936 |
+
"query": "\"machine learning\" cybersecurity in:description,readme created:2011-01-01..2011-12-31",
|
| 937 |
+
"query_id": "applied.cybersecurity-ml",
|
| 938 |
+
"repositories_observed_on_last_page": 0,
|
| 939 |
+
"sampled_first_page": true,
|
| 940 |
+
"search_limit_reached": false,
|
| 941 |
+
"status": "complete",
|
| 942 |
+
"total_count": 0,
|
| 943 |
+
"year": 2011
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"coverage_gap": false,
|
| 947 |
+
"coverage_gap_reason": null,
|
| 948 |
+
"incomplete_results": false,
|
| 949 |
+
"pages_scanned": 1,
|
| 950 |
+
"query": "\"cell segmentation\" microscopy in:description,readme created:2011-01-01..2011-12-31",
|
| 951 |
+
"query_id": "bio.microscopy-cell-analysis",
|
| 952 |
+
"repositories_observed_on_last_page": 0,
|
| 953 |
+
"sampled_first_page": true,
|
| 954 |
+
"search_limit_reached": false,
|
| 955 |
+
"status": "complete",
|
| 956 |
+
"total_count": 0,
|
| 957 |
+
"year": 2011
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"coverage_gap": false,
|
| 961 |
+
"coverage_gap_reason": null,
|
| 962 |
+
"incomplete_results": false,
|
| 963 |
+
"pages_scanned": 1,
|
| 964 |
+
"query": "\"hyperparameter optimization\" in:description created:2011-01-01..2011-12-31",
|
| 965 |
+
"query_id": "efficiency.hyperparameter-optimization",
|
| 966 |
+
"repositories_observed_on_last_page": 1,
|
| 967 |
+
"sampled_first_page": true,
|
| 968 |
+
"search_limit_reached": false,
|
| 969 |
+
"status": "complete",
|
| 970 |
+
"total_count": 1,
|
| 971 |
+
"year": 2011
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"coverage_gap": false,
|
| 975 |
+
"coverage_gap_reason": null,
|
| 976 |
+
"incomplete_results": false,
|
| 977 |
+
"pages_scanned": 1,
|
| 978 |
+
"query": "\"policy learning\" causal machine learning economics in:description,readme created:2011-01-01..2011-12-31",
|
| 979 |
+
"query_id": "gap2026.econometrics-policy-learning",
|
| 980 |
+
"repositories_observed_on_last_page": 0,
|
| 981 |
+
"sampled_first_page": true,
|
| 982 |
+
"search_limit_reached": false,
|
| 983 |
+
"status": "complete",
|
| 984 |
+
"total_count": 0,
|
| 985 |
+
"year": 2011
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"coverage_gap": false,
|
| 989 |
+
"coverage_gap_reason": null,
|
| 990 |
+
"incomplete_results": false,
|
| 991 |
+
"pages_scanned": 1,
|
| 992 |
+
"query": "\"deep learning\" in:description created:2011-01-01..2011-12-31",
|
| 993 |
+
"query_id": "general.deep-learning-description",
|
| 994 |
+
"repositories_observed_on_last_page": 3,
|
| 995 |
+
"sampled_first_page": true,
|
| 996 |
+
"search_limit_reached": false,
|
| 997 |
+
"status": "complete",
|
| 998 |
+
"total_count": 3,
|
| 999 |
+
"year": 2011
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"coverage_gap": false,
|
| 1003 |
+
"coverage_gap_reason": null,
|
| 1004 |
+
"incomplete_results": false,
|
| 1005 |
+
"pages_scanned": 1,
|
| 1006 |
+
"query": "\"hydrology machine learning\" in:readme created:2011-01-01..2011-12-31",
|
| 1007 |
+
"query_id": "geo.hydrology",
|
| 1008 |
+
"repositories_observed_on_last_page": 0,
|
| 1009 |
+
"sampled_first_page": true,
|
| 1010 |
+
"search_limit_reached": false,
|
| 1011 |
+
"status": "complete",
|
| 1012 |
+
"total_count": 0,
|
| 1013 |
+
"year": 2011
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"coverage_gap": false,
|
| 1017 |
+
"coverage_gap_reason": null,
|
| 1018 |
+
"incomplete_results": false,
|
| 1019 |
+
"pages_scanned": 1,
|
| 1020 |
+
"query": "\"graph transformer\" in:description created:2011-01-01..2011-12-31",
|
| 1021 |
+
"query_id": "graph.graph-transformer",
|
| 1022 |
+
"repositories_observed_on_last_page": 0,
|
| 1023 |
+
"sampled_first_page": true,
|
| 1024 |
+
"search_limit_reached": false,
|
| 1025 |
+
"status": "complete",
|
| 1026 |
+
"total_count": 0,
|
| 1027 |
+
"year": 2011
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"coverage_gap": false,
|
| 1031 |
+
"coverage_gap_reason": null,
|
| 1032 |
+
"incomplete_results": false,
|
| 1033 |
+
"pages_scanned": 1,
|
| 1034 |
+
"query": "\"language model\" in:description created:2011-01-01..2011-12-31",
|
| 1035 |
+
"query_id": "llm.language-model",
|
| 1036 |
+
"repositories_observed_on_last_page": 14,
|
| 1037 |
+
"sampled_first_page": true,
|
| 1038 |
+
"search_limit_reached": false,
|
| 1039 |
+
"status": "complete",
|
| 1040 |
+
"total_count": 14,
|
| 1041 |
+
"year": 2011
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"coverage_gap": false,
|
| 1045 |
+
"coverage_gap_reason": null,
|
| 1046 |
+
"incomplete_results": false,
|
| 1047 |
+
"pages_scanned": 1,
|
| 1048 |
+
"query": "\"clinical genomics\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1049 |
+
"query_id": "medical.genomics",
|
| 1050 |
+
"repositories_observed_on_last_page": 0,
|
| 1051 |
+
"sampled_first_page": true,
|
| 1052 |
+
"search_limit_reached": false,
|
| 1053 |
+
"status": "complete",
|
| 1054 |
+
"total_count": 0,
|
| 1055 |
+
"year": 2011
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"coverage_gap": false,
|
| 1059 |
+
"coverage_gap_reason": null,
|
| 1060 |
+
"incomplete_results": false,
|
| 1061 |
+
"pages_scanned": 1,
|
| 1062 |
+
"query": "\"human motion generation\" in:readme created:2011-01-01..2011-12-31",
|
| 1063 |
+
"query_id": "multimodal.motion-generation",
|
| 1064 |
+
"repositories_observed_on_last_page": 0,
|
| 1065 |
+
"sampled_first_page": true,
|
| 1066 |
+
"search_limit_reached": false,
|
| 1067 |
+
"status": "complete",
|
| 1068 |
+
"total_count": 0,
|
| 1069 |
+
"year": 2011
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"coverage_gap": false,
|
| 1073 |
+
"coverage_gap_reason": null,
|
| 1074 |
+
"incomplete_results": false,
|
| 1075 |
+
"pages_scanned": 1,
|
| 1076 |
+
"query": "\"question answering\" in:description created:2011-01-01..2011-12-31",
|
| 1077 |
+
"query_id": "nlp.question-answering",
|
| 1078 |
+
"repositories_observed_on_last_page": 17,
|
| 1079 |
+
"sampled_first_page": true,
|
| 1080 |
+
"search_limit_reached": false,
|
| 1081 |
+
"status": "complete",
|
| 1082 |
+
"total_count": 17,
|
| 1083 |
+
"year": 2011
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"coverage_gap": false,
|
| 1087 |
+
"coverage_gap_reason": null,
|
| 1088 |
+
"incomplete_results": false,
|
| 1089 |
+
"pages_scanned": 1,
|
| 1090 |
+
"query": "\"model calibration\" neural in:readme created:2011-01-01..2011-12-31",
|
| 1091 |
+
"query_id": "probable.evaluation-model-calibration-readme",
|
| 1092 |
+
"repositories_observed_on_last_page": 0,
|
| 1093 |
+
"sampled_first_page": true,
|
| 1094 |
+
"search_limit_reached": false,
|
| 1095 |
+
"status": "complete",
|
| 1096 |
+
"total_count": 0,
|
| 1097 |
+
"year": 2011
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"coverage_gap": false,
|
| 1101 |
+
"coverage_gap_reason": null,
|
| 1102 |
+
"incomplete_results": false,
|
| 1103 |
+
"pages_scanned": 1,
|
| 1104 |
+
"query": "\"historical document recognition\" in:name,description,readme created:2011-01-01..2011-12-31",
|
| 1105 |
+
"query_id": "recall.historical-document-recognition",
|
| 1106 |
+
"repositories_observed_on_last_page": 0,
|
| 1107 |
+
"sampled_first_page": true,
|
| 1108 |
+
"search_limit_reached": false,
|
| 1109 |
+
"status": "complete",
|
| 1110 |
+
"total_count": 0,
|
| 1111 |
+
"year": 2011
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"coverage_gap": false,
|
| 1115 |
+
"coverage_gap_reason": null,
|
| 1116 |
+
"incomplete_results": false,
|
| 1117 |
+
"pages_scanned": 1,
|
| 1118 |
+
"query": "\"inverse reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 1119 |
+
"query_id": "rl.inverse",
|
| 1120 |
+
"repositories_observed_on_last_page": 0,
|
| 1121 |
+
"sampled_first_page": true,
|
| 1122 |
+
"search_limit_reached": false,
|
| 1123 |
+
"status": "complete",
|
| 1124 |
+
"total_count": 0,
|
| 1125 |
+
"year": 2011
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"coverage_gap": false,
|
| 1129 |
+
"coverage_gap_reason": null,
|
| 1130 |
+
"incomplete_results": false,
|
| 1131 |
+
"pages_scanned": 1,
|
| 1132 |
+
"query": "\"robot control\" in:description created:2011-01-01..2011-12-31",
|
| 1133 |
+
"query_id": "robotics.robot-control",
|
| 1134 |
+
"repositories_observed_on_last_page": 11,
|
| 1135 |
+
"sampled_first_page": true,
|
| 1136 |
+
"search_limit_reached": false,
|
| 1137 |
+
"status": "complete",
|
| 1138 |
+
"total_count": 11,
|
| 1139 |
+
"year": 2011
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"coverage_gap": false,
|
| 1143 |
+
"coverage_gap_reason": null,
|
| 1144 |
+
"incomplete_results": false,
|
| 1145 |
+
"pages_scanned": 1,
|
| 1146 |
+
"query": "\"inverse problems\" in:description created:2011-01-01..2011-12-31",
|
| 1147 |
+
"query_id": "science.inverse-problems",
|
| 1148 |
+
"repositories_observed_on_last_page": 2,
|
| 1149 |
+
"sampled_first_page": true,
|
| 1150 |
+
"search_limit_reached": false,
|
| 1151 |
+
"status": "complete",
|
| 1152 |
+
"total_count": 2,
|
| 1153 |
+
"year": 2011
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"coverage_gap": false,
|
| 1157 |
+
"coverage_gap_reason": null,
|
| 1158 |
+
"incomplete_results": false,
|
| 1159 |
+
"pages_scanned": 1,
|
| 1160 |
+
"query": "\"mechanistic interpretability\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1161 |
+
"query_id": "specialized.mechanistic-interpretability",
|
| 1162 |
+
"repositories_observed_on_last_page": 0,
|
| 1163 |
+
"sampled_first_page": true,
|
| 1164 |
+
"search_limit_reached": false,
|
| 1165 |
+
"status": "complete",
|
| 1166 |
+
"total_count": 0,
|
| 1167 |
+
"year": 2011
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"coverage_gap": false,
|
| 1171 |
+
"coverage_gap_reason": null,
|
| 1172 |
+
"incomplete_results": false,
|
| 1173 |
+
"pages_scanned": 1,
|
| 1174 |
+
"query": "N-BEATS in:description created:2011-01-01..2011-12-31",
|
| 1175 |
+
"query_id": "timeseries.nbeats",
|
| 1176 |
+
"repositories_observed_on_last_page": 2,
|
| 1177 |
+
"sampled_first_page": true,
|
| 1178 |
+
"search_limit_reached": false,
|
| 1179 |
+
"status": "complete",
|
| 1180 |
+
"total_count": 2,
|
| 1181 |
+
"year": 2011
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"coverage_gap": false,
|
| 1185 |
+
"coverage_gap_reason": null,
|
| 1186 |
+
"incomplete_results": false,
|
| 1187 |
+
"pages_scanned": 1,
|
| 1188 |
+
"query": "\"conformal prediction\" in:description created:2011-01-01..2011-12-31",
|
| 1189 |
+
"query_id": "trust.conformal-prediction",
|
| 1190 |
+
"repositories_observed_on_last_page": 0,
|
| 1191 |
+
"sampled_first_page": true,
|
| 1192 |
+
"search_limit_reached": false,
|
| 1193 |
+
"status": "complete",
|
| 1194 |
+
"total_count": 0,
|
| 1195 |
+
"year": 2011
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"coverage_gap": false,
|
| 1199 |
+
"coverage_gap_reason": null,
|
| 1200 |
+
"incomplete_results": false,
|
| 1201 |
+
"pages_scanned": 1,
|
| 1202 |
+
"query": "\"image-to-image translation\" in:readme created:2011-01-01..2011-12-31",
|
| 1203 |
+
"query_id": "vision.image-to-image-translation",
|
| 1204 |
+
"repositories_observed_on_last_page": 0,
|
| 1205 |
+
"sampled_first_page": true,
|
| 1206 |
+
"search_limit_reached": false,
|
| 1207 |
+
"status": "complete",
|
| 1208 |
+
"total_count": 0,
|
| 1209 |
+
"year": 2011
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"coverage_gap": false,
|
| 1213 |
+
"coverage_gap_reason": null,
|
| 1214 |
+
"incomplete_results": false,
|
| 1215 |
+
"pages_scanned": 1,
|
| 1216 |
+
"query": "\"demand forecasting\" in:description created:2011-01-01..2011-12-31",
|
| 1217 |
+
"query_id": "applied.demand-forecasting",
|
| 1218 |
+
"repositories_observed_on_last_page": 0,
|
| 1219 |
+
"sampled_first_page": true,
|
| 1220 |
+
"search_limit_reached": false,
|
| 1221 |
+
"status": "complete",
|
| 1222 |
+
"total_count": 0,
|
| 1223 |
+
"year": 2011
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"coverage_gap": false,
|
| 1227 |
+
"coverage_gap_reason": null,
|
| 1228 |
+
"incomplete_results": false,
|
| 1229 |
+
"pages_scanned": 1,
|
| 1230 |
+
"query": "\"molecular dynamics\" in:description created:2011-01-01..2011-12-31",
|
| 1231 |
+
"query_id": "bio.molecular-dynamics",
|
| 1232 |
+
"repositories_observed_on_last_page": 11,
|
| 1233 |
+
"sampled_first_page": true,
|
| 1234 |
+
"search_limit_reached": false,
|
| 1235 |
+
"status": "complete",
|
| 1236 |
+
"total_count": 11,
|
| 1237 |
+
"year": 2011
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"coverage_gap": false,
|
| 1241 |
+
"coverage_gap_reason": null,
|
| 1242 |
+
"incomplete_results": false,
|
| 1243 |
+
"pages_scanned": 1,
|
| 1244 |
+
"query": "\"inference engine\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1245 |
+
"query_id": "efficiency.inference-systems",
|
| 1246 |
+
"repositories_observed_on_last_page": 1,
|
| 1247 |
+
"sampled_first_page": true,
|
| 1248 |
+
"search_limit_reached": false,
|
| 1249 |
+
"status": "complete",
|
| 1250 |
+
"total_count": 1,
|
| 1251 |
+
"year": 2011
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"coverage_gap": false,
|
| 1255 |
+
"coverage_gap_reason": null,
|
| 1256 |
+
"incomplete_results": false,
|
| 1257 |
+
"pages_scanned": 1,
|
| 1258 |
+
"query": "\"count time series forecasting\" neural in:description,readme created:2011-01-01..2011-12-31",
|
| 1259 |
+
"query_id": "gap2026.forecasting-count-data",
|
| 1260 |
+
"repositories_observed_on_last_page": 0,
|
| 1261 |
+
"sampled_first_page": true,
|
| 1262 |
+
"search_limit_reached": false,
|
| 1263 |
+
"status": "complete",
|
| 1264 |
+
"total_count": 0,
|
| 1265 |
+
"year": 2011
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"coverage_gap": false,
|
| 1269 |
+
"coverage_gap_reason": null,
|
| 1270 |
+
"incomplete_results": false,
|
| 1271 |
+
"pages_scanned": 1,
|
| 1272 |
+
"query": "\"deep learning\" in:readme created:2011-01-01..2011-12-31",
|
| 1273 |
+
"query_id": "general.deep-learning-readme",
|
| 1274 |
+
"repositories_observed_on_last_page": 14,
|
| 1275 |
+
"sampled_first_page": true,
|
| 1276 |
+
"search_limit_reached": false,
|
| 1277 |
+
"status": "complete",
|
| 1278 |
+
"total_count": 14,
|
| 1279 |
+
"year": 2011
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"coverage_gap": false,
|
| 1283 |
+
"coverage_gap_reason": null,
|
| 1284 |
+
"incomplete_results": false,
|
| 1285 |
+
"pages_scanned": 1,
|
| 1286 |
+
"query": "\"land cover\" in:readme created:2011-01-01..2011-12-31",
|
| 1287 |
+
"query_id": "geo.land-cover",
|
| 1288 |
+
"repositories_observed_on_last_page": 4,
|
| 1289 |
+
"sampled_first_page": true,
|
| 1290 |
+
"search_limit_reached": false,
|
| 1291 |
+
"status": "complete",
|
| 1292 |
+
"total_count": 4,
|
| 1293 |
+
"year": 2011
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"coverage_gap": false,
|
| 1297 |
+
"coverage_gap_reason": null,
|
| 1298 |
+
"incomplete_results": false,
|
| 1299 |
+
"pages_scanned": 1,
|
| 1300 |
+
"query": "\"hypergraph neural network\" in:description created:2011-01-01..2011-12-31",
|
| 1301 |
+
"query_id": "graph.hypergraph-neural-network",
|
| 1302 |
+
"repositories_observed_on_last_page": 0,
|
| 1303 |
+
"sampled_first_page": true,
|
| 1304 |
+
"search_limit_reached": false,
|
| 1305 |
+
"status": "complete",
|
| 1306 |
+
"total_count": 0,
|
| 1307 |
+
"year": 2011
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"coverage_gap": false,
|
| 1311 |
+
"coverage_gap_reason": null,
|
| 1312 |
+
"incomplete_results": false,
|
| 1313 |
+
"pages_scanned": 1,
|
| 1314 |
+
"query": "topic:large-language-models created:2011-01-01..2011-12-31",
|
| 1315 |
+
"query_id": "llm.language-models",
|
| 1316 |
+
"repositories_observed_on_last_page": 0,
|
| 1317 |
+
"sampled_first_page": true,
|
| 1318 |
+
"search_limit_reached": false,
|
| 1319 |
+
"status": "complete",
|
| 1320 |
+
"total_count": 0,
|
| 1321 |
+
"year": 2011
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"coverage_gap": false,
|
| 1325 |
+
"coverage_gap_reason": null,
|
| 1326 |
+
"incomplete_results": false,
|
| 1327 |
+
"pages_scanned": 1,
|
| 1328 |
+
"query": "\"histopathology image analysis\" in:readme created:2011-01-01..2011-12-31",
|
| 1329 |
+
"query_id": "medical.histopathology",
|
| 1330 |
+
"repositories_observed_on_last_page": 0,
|
| 1331 |
+
"sampled_first_page": true,
|
| 1332 |
+
"search_limit_reached": false,
|
| 1333 |
+
"status": "complete",
|
| 1334 |
+
"total_count": 0,
|
| 1335 |
+
"year": 2011
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"coverage_gap": false,
|
| 1339 |
+
"coverage_gap_reason": null,
|
| 1340 |
+
"incomplete_results": false,
|
| 1341 |
+
"pages_scanned": 1,
|
| 1342 |
+
"query": "topic:nerf created:2011-01-01..2011-12-31",
|
| 1343 |
+
"query_id": "multimodal.nerf",
|
| 1344 |
+
"repositories_observed_on_last_page": 0,
|
| 1345 |
+
"sampled_first_page": true,
|
| 1346 |
+
"search_limit_reached": false,
|
| 1347 |
+
"status": "complete",
|
| 1348 |
+
"total_count": 0,
|
| 1349 |
+
"year": 2011
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"coverage_gap": false,
|
| 1353 |
+
"coverage_gap_reason": null,
|
| 1354 |
+
"incomplete_results": false,
|
| 1355 |
+
"pages_scanned": 1,
|
| 1356 |
+
"query": "\"retrieval augmented generation\" in:description created:2011-01-01..2011-12-31",
|
| 1357 |
+
"query_id": "nlp.rag",
|
| 1358 |
+
"repositories_observed_on_last_page": 0,
|
| 1359 |
+
"sampled_first_page": true,
|
| 1360 |
+
"search_limit_reached": false,
|
| 1361 |
+
"status": "complete",
|
| 1362 |
+
"total_count": 0,
|
| 1363 |
+
"year": 2011
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"coverage_gap": false,
|
| 1367 |
+
"coverage_gap_reason": null,
|
| 1368 |
+
"incomplete_results": false,
|
| 1369 |
+
"pages_scanned": 1,
|
| 1370 |
+
"query": "\"out-of-distribution detection\" in:readme created:2011-01-01..2011-12-31",
|
| 1371 |
+
"query_id": "probable.evaluation-ood-readme",
|
| 1372 |
+
"repositories_observed_on_last_page": 0,
|
| 1373 |
+
"sampled_first_page": true,
|
| 1374 |
+
"search_limit_reached": false,
|
| 1375 |
+
"status": "complete",
|
| 1376 |
+
"total_count": 0,
|
| 1377 |
+
"year": 2011
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"coverage_gap": false,
|
| 1381 |
+
"coverage_gap_reason": null,
|
| 1382 |
+
"incomplete_results": false,
|
| 1383 |
+
"pages_scanned": 1,
|
| 1384 |
+
"query": "\"infrastructure damage detection\" deep learning in:name,description,readme created:2011-01-01..2011-12-31",
|
| 1385 |
+
"query_id": "recall.infrastructure-damage-detection",
|
| 1386 |
+
"repositories_observed_on_last_page": 0,
|
| 1387 |
+
"sampled_first_page": true,
|
| 1388 |
+
"search_limit_reached": false,
|
| 1389 |
+
"status": "complete",
|
| 1390 |
+
"total_count": 0,
|
| 1391 |
+
"year": 2011
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"coverage_gap": false,
|
| 1395 |
+
"coverage_gap_reason": null,
|
| 1396 |
+
"incomplete_results": false,
|
| 1397 |
+
"pages_scanned": 1,
|
| 1398 |
+
"query": "\"model-based reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 1399 |
+
"query_id": "rl.model-based",
|
| 1400 |
+
"repositories_observed_on_last_page": 0,
|
| 1401 |
+
"sampled_first_page": true,
|
| 1402 |
+
"search_limit_reached": false,
|
| 1403 |
+
"status": "complete",
|
| 1404 |
+
"total_count": 0,
|
| 1405 |
+
"year": 2011
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"coverage_gap": false,
|
| 1409 |
+
"coverage_gap_reason": null,
|
| 1410 |
+
"incomplete_results": false,
|
| 1411 |
+
"pages_scanned": 1,
|
| 1412 |
+
"query": "robot foundation model in:description,readme created:2011-01-01..2011-12-31",
|
| 1413 |
+
"query_id": "robotics.robot-foundation-model",
|
| 1414 |
+
"repositories_observed_on_last_page": 5,
|
| 1415 |
+
"sampled_first_page": true,
|
| 1416 |
+
"search_limit_reached": false,
|
| 1417 |
+
"status": "complete",
|
| 1418 |
+
"total_count": 5,
|
| 1419 |
+
"year": 2011
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"coverage_gap": false,
|
| 1423 |
+
"coverage_gap_reason": null,
|
| 1424 |
+
"incomplete_results": false,
|
| 1425 |
+
"pages_scanned": 1,
|
| 1426 |
+
"query": "\"neural operator\" in:description created:2011-01-01..2011-12-31",
|
| 1427 |
+
"query_id": "science.neural-operators",
|
| 1428 |
+
"repositories_observed_on_last_page": 0,
|
| 1429 |
+
"sampled_first_page": true,
|
| 1430 |
+
"search_limit_reached": false,
|
| 1431 |
+
"status": "complete",
|
| 1432 |
+
"total_count": 0,
|
| 1433 |
+
"year": 2011
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"coverage_gap": false,
|
| 1437 |
+
"coverage_gap_reason": null,
|
| 1438 |
+
"incomplete_results": false,
|
| 1439 |
+
"pages_scanned": 1,
|
| 1440 |
+
"query": "\"medical image registration\" \"deep learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1441 |
+
"query_id": "specialized.medical-image-registration-deep-learning",
|
| 1442 |
+
"repositories_observed_on_last_page": 0,
|
| 1443 |
+
"sampled_first_page": true,
|
| 1444 |
+
"search_limit_reached": false,
|
| 1445 |
+
"status": "complete",
|
| 1446 |
+
"total_count": 0,
|
| 1447 |
+
"year": 2011
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"coverage_gap": false,
|
| 1451 |
+
"coverage_gap_reason": null,
|
| 1452 |
+
"incomplete_results": false,
|
| 1453 |
+
"pages_scanned": 1,
|
| 1454 |
+
"query": "PatchTST in:description created:2011-01-01..2011-12-31",
|
| 1455 |
+
"query_id": "timeseries.patchtst",
|
| 1456 |
+
"repositories_observed_on_last_page": 0,
|
| 1457 |
+
"sampled_first_page": true,
|
| 1458 |
+
"search_limit_reached": false,
|
| 1459 |
+
"status": "complete",
|
| 1460 |
+
"total_count": 0,
|
| 1461 |
+
"year": 2011
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"coverage_gap": false,
|
| 1465 |
+
"coverage_gap_reason": null,
|
| 1466 |
+
"incomplete_results": false,
|
| 1467 |
+
"pages_scanned": 1,
|
| 1468 |
+
"query": "\"counterfactual explanation\" in:description created:2011-01-01..2011-12-31",
|
| 1469 |
+
"query_id": "trust.counterfactual-explanations",
|
| 1470 |
+
"repositories_observed_on_last_page": 0,
|
| 1471 |
+
"sampled_first_page": true,
|
| 1472 |
+
"search_limit_reached": false,
|
| 1473 |
+
"status": "complete",
|
| 1474 |
+
"total_count": 0,
|
| 1475 |
+
"year": 2011
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"coverage_gap": false,
|
| 1479 |
+
"coverage_gap_reason": null,
|
| 1480 |
+
"incomplete_results": false,
|
| 1481 |
+
"pages_scanned": 1,
|
| 1482 |
+
"query": "\"neural rendering\" in:description created:2011-01-01..2011-12-31",
|
| 1483 |
+
"query_id": "vision.neural-rendering",
|
| 1484 |
+
"repositories_observed_on_last_page": 0,
|
| 1485 |
+
"sampled_first_page": true,
|
| 1486 |
+
"search_limit_reached": false,
|
| 1487 |
+
"status": "complete",
|
| 1488 |
+
"total_count": 0,
|
| 1489 |
+
"year": 2011
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"coverage_gap": false,
|
| 1493 |
+
"coverage_gap_reason": null,
|
| 1494 |
+
"incomplete_results": false,
|
| 1495 |
+
"pages_scanned": 1,
|
| 1496 |
+
"query": "\"dynamic pricing\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1497 |
+
"query_id": "applied.dynamic-pricing",
|
| 1498 |
+
"repositories_observed_on_last_page": 0,
|
| 1499 |
+
"sampled_first_page": true,
|
| 1500 |
+
"search_limit_reached": false,
|
| 1501 |
+
"status": "complete",
|
| 1502 |
+
"total_count": 0,
|
| 1503 |
+
"year": 2011
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"coverage_gap": false,
|
| 1507 |
+
"coverage_gap_reason": null,
|
| 1508 |
+
"incomplete_results": false,
|
| 1509 |
+
"pages_scanned": 1,
|
| 1510 |
+
"query": "\"machine learning force field\" in:readme created:2011-01-01..2011-12-31",
|
| 1511 |
+
"query_id": "bio.molecular-force-fields",
|
| 1512 |
+
"repositories_observed_on_last_page": 0,
|
| 1513 |
+
"sampled_first_page": true,
|
| 1514 |
+
"search_limit_reached": false,
|
| 1515 |
+
"status": "complete",
|
| 1516 |
+
"total_count": 0,
|
| 1517 |
+
"year": 2011
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"coverage_gap": false,
|
| 1521 |
+
"coverage_gap_reason": null,
|
| 1522 |
+
"incomplete_results": false,
|
| 1523 |
+
"pages_scanned": 1,
|
| 1524 |
+
"query": "\"knowledge distillation\" in:description created:2011-01-01..2011-12-31",
|
| 1525 |
+
"query_id": "efficiency.knowledge-distillation",
|
| 1526 |
+
"repositories_observed_on_last_page": 0,
|
| 1527 |
+
"sampled_first_page": true,
|
| 1528 |
+
"search_limit_reached": false,
|
| 1529 |
+
"status": "complete",
|
| 1530 |
+
"total_count": 0,
|
| 1531 |
+
"year": 2011
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"coverage_gap": false,
|
| 1535 |
+
"coverage_gap_reason": null,
|
| 1536 |
+
"incomplete_results": false,
|
| 1537 |
+
"pages_scanned": 1,
|
| 1538 |
+
"query": "\"hierarchical time series forecasting\" machine learning in:description,readme created:2011-01-01..2011-12-31",
|
| 1539 |
+
"query_id": "gap2026.forecasting-hierarchical",
|
| 1540 |
+
"repositories_observed_on_last_page": 0,
|
| 1541 |
+
"sampled_first_page": true,
|
| 1542 |
+
"search_limit_reached": false,
|
| 1543 |
+
"status": "complete",
|
| 1544 |
+
"total_count": 0,
|
| 1545 |
+
"year": 2011
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"coverage_gap": false,
|
| 1549 |
+
"coverage_gap_reason": null,
|
| 1550 |
+
"incomplete_results": false,
|
| 1551 |
+
"pages_scanned": 1,
|
| 1552 |
+
"query": "\"dimensionality reduction\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1553 |
+
"query_id": "general.dimensionality-reduction",
|
| 1554 |
+
"repositories_observed_on_last_page": 15,
|
| 1555 |
+
"sampled_first_page": true,
|
| 1556 |
+
"search_limit_reached": false,
|
| 1557 |
+
"status": "complete",
|
| 1558 |
+
"total_count": 15,
|
| 1559 |
+
"year": 2011
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"coverage_gap": false,
|
| 1563 |
+
"coverage_gap_reason": null,
|
| 1564 |
+
"incomplete_results": false,
|
| 1565 |
+
"pages_scanned": 1,
|
| 1566 |
+
"query": "\"land use\" in:readme created:2011-01-01..2011-12-31",
|
| 1567 |
+
"query_id": "geo.land-use",
|
| 1568 |
+
"repositories_observed_on_last_page": 7,
|
| 1569 |
+
"sampled_first_page": true,
|
| 1570 |
+
"search_limit_reached": false,
|
| 1571 |
+
"status": "complete",
|
| 1572 |
+
"total_count": 7,
|
| 1573 |
+
"year": 2011
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"coverage_gap": false,
|
| 1577 |
+
"coverage_gap_reason": null,
|
| 1578 |
+
"incomplete_results": false,
|
| 1579 |
+
"pages_scanned": 1,
|
| 1580 |
+
"query": "\"knowledge graph embedding\" in:description created:2011-01-01..2011-12-31",
|
| 1581 |
+
"query_id": "graph.knowledge-graph-embedding",
|
| 1582 |
+
"repositories_observed_on_last_page": 0,
|
| 1583 |
+
"sampled_first_page": true,
|
| 1584 |
+
"search_limit_reached": false,
|
| 1585 |
+
"status": "complete",
|
| 1586 |
+
"total_count": 0,
|
| 1587 |
+
"year": 2011
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"coverage_gap": false,
|
| 1591 |
+
"coverage_gap_reason": null,
|
| 1592 |
+
"incomplete_results": false,
|
| 1593 |
+
"pages_scanned": 1,
|
| 1594 |
+
"query": "\"large language model\" in:description created:2011-01-01..2011-12-31",
|
| 1595 |
+
"query_id": "llm.large-language-model",
|
| 1596 |
+
"repositories_observed_on_last_page": 0,
|
| 1597 |
+
"sampled_first_page": true,
|
| 1598 |
+
"search_limit_reached": false,
|
| 1599 |
+
"status": "complete",
|
| 1600 |
+
"total_count": 0,
|
| 1601 |
+
"year": 2011
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"coverage_gap": false,
|
| 1605 |
+
"coverage_gap_reason": null,
|
| 1606 |
+
"incomplete_results": false,
|
| 1607 |
+
"pages_scanned": 1,
|
| 1608 |
+
"query": "\"MRI reconstruction\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1609 |
+
"query_id": "medical.medical-image-reconstruction",
|
| 1610 |
+
"repositories_observed_on_last_page": 0,
|
| 1611 |
+
"sampled_first_page": true,
|
| 1612 |
+
"search_limit_reached": false,
|
| 1613 |
+
"status": "complete",
|
| 1614 |
+
"total_count": 0,
|
| 1615 |
+
"year": 2011
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"coverage_gap": false,
|
| 1619 |
+
"coverage_gap_reason": null,
|
| 1620 |
+
"incomplete_results": false,
|
| 1621 |
+
"pages_scanned": 1,
|
| 1622 |
+
"query": "\"neural rendering\" \"radiance fields\" in:description created:2011-01-01..2011-12-31",
|
| 1623 |
+
"query_id": "multimodal.neural-rendering",
|
| 1624 |
+
"repositories_observed_on_last_page": 0,
|
| 1625 |
+
"sampled_first_page": true,
|
| 1626 |
+
"search_limit_reached": false,
|
| 1627 |
+
"status": "complete",
|
| 1628 |
+
"total_count": 0,
|
| 1629 |
+
"year": 2011
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"coverage_gap": false,
|
| 1633 |
+
"coverage_gap_reason": null,
|
| 1634 |
+
"incomplete_results": false,
|
| 1635 |
+
"pages_scanned": 1,
|
| 1636 |
+
"query": "\"semantic search\" in:description created:2011-01-01..2011-12-31",
|
| 1637 |
+
"query_id": "nlp.semantic-search",
|
| 1638 |
+
"repositories_observed_on_last_page": 2,
|
| 1639 |
+
"sampled_first_page": true,
|
| 1640 |
+
"search_limit_reached": false,
|
| 1641 |
+
"status": "complete",
|
| 1642 |
+
"total_count": 2,
|
| 1643 |
+
"year": 2011
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"coverage_gap": false,
|
| 1647 |
+
"coverage_gap_reason": null,
|
| 1648 |
+
"incomplete_results": false,
|
| 1649 |
+
"pages_scanned": 1,
|
| 1650 |
+
"query": "\"data assimilation\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1651 |
+
"query_id": "probable.scientific-data-assimilation",
|
| 1652 |
+
"repositories_observed_on_last_page": 0,
|
| 1653 |
+
"sampled_first_page": true,
|
| 1654 |
+
"search_limit_reached": false,
|
| 1655 |
+
"status": "complete",
|
| 1656 |
+
"total_count": 0,
|
| 1657 |
+
"year": 2011
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"coverage_gap": false,
|
| 1661 |
+
"coverage_gap_reason": null,
|
| 1662 |
+
"incomplete_results": false,
|
| 1663 |
+
"pages_scanned": 1,
|
| 1664 |
+
"query": "\"insurance risk\" machine learning in:name,description,readme created:2011-01-01..2011-12-31",
|
| 1665 |
+
"query_id": "recall.insurance-risk-modeling",
|
| 1666 |
+
"repositories_observed_on_last_page": 0,
|
| 1667 |
+
"sampled_first_page": true,
|
| 1668 |
+
"search_limit_reached": false,
|
| 1669 |
+
"status": "complete",
|
| 1670 |
+
"total_count": 0,
|
| 1671 |
+
"year": 2011
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"coverage_gap": false,
|
| 1675 |
+
"coverage_gap_reason": null,
|
| 1676 |
+
"incomplete_results": false,
|
| 1677 |
+
"pages_scanned": 1,
|
| 1678 |
+
"query": "\"model-free reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 1679 |
+
"query_id": "rl.model-free",
|
| 1680 |
+
"repositories_observed_on_last_page": 0,
|
| 1681 |
+
"sampled_first_page": true,
|
| 1682 |
+
"search_limit_reached": false,
|
| 1683 |
+
"status": "complete",
|
| 1684 |
+
"total_count": 0,
|
| 1685 |
+
"year": 2011
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"coverage_gap": false,
|
| 1689 |
+
"coverage_gap_reason": null,
|
| 1690 |
+
"incomplete_results": false,
|
| 1691 |
+
"pages_scanned": 1,
|
| 1692 |
+
"query": "\"robot learning\" in:description created:2011-01-01..2011-12-31",
|
| 1693 |
+
"query_id": "robotics.robot-learning",
|
| 1694 |
+
"repositories_observed_on_last_page": 1,
|
| 1695 |
+
"sampled_first_page": true,
|
| 1696 |
+
"search_limit_reached": false,
|
| 1697 |
+
"status": "complete",
|
| 1698 |
+
"total_count": 1,
|
| 1699 |
+
"year": 2011
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"coverage_gap": false,
|
| 1703 |
+
"coverage_gap_reason": null,
|
| 1704 |
+
"incomplete_results": false,
|
| 1705 |
+
"pages_scanned": 1,
|
| 1706 |
+
"query": "\"ocean modeling\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1707 |
+
"query_id": "science.ocean-modeling",
|
| 1708 |
+
"repositories_observed_on_last_page": 0,
|
| 1709 |
+
"sampled_first_page": true,
|
| 1710 |
+
"search_limit_reached": false,
|
| 1711 |
+
"status": "complete",
|
| 1712 |
+
"total_count": 0,
|
| 1713 |
+
"year": 2011
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"coverage_gap": false,
|
| 1717 |
+
"coverage_gap_reason": null,
|
| 1718 |
+
"incomplete_results": false,
|
| 1719 |
+
"pages_scanned": 1,
|
| 1720 |
+
"query": "\"pathology foundation model\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1721 |
+
"query_id": "specialized.pathology-foundation-model",
|
| 1722 |
+
"repositories_observed_on_last_page": 0,
|
| 1723 |
+
"sampled_first_page": true,
|
| 1724 |
+
"search_limit_reached": false,
|
| 1725 |
+
"status": "complete",
|
| 1726 |
+
"total_count": 0,
|
| 1727 |
+
"year": 2011
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"coverage_gap": false,
|
| 1731 |
+
"coverage_gap_reason": null,
|
| 1732 |
+
"incomplete_results": false,
|
| 1733 |
+
"pages_scanned": 1,
|
| 1734 |
+
"query": "\"predictive maintenance\" in:description created:2011-01-01..2011-12-31",
|
| 1735 |
+
"query_id": "timeseries.predictive-maintenance",
|
| 1736 |
+
"repositories_observed_on_last_page": 0,
|
| 1737 |
+
"sampled_first_page": true,
|
| 1738 |
+
"search_limit_reached": false,
|
| 1739 |
+
"status": "complete",
|
| 1740 |
+
"total_count": 0,
|
| 1741 |
+
"year": 2011
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"coverage_gap": false,
|
| 1745 |
+
"coverage_gap_reason": null,
|
| 1746 |
+
"incomplete_results": false,
|
| 1747 |
+
"pages_scanned": 1,
|
| 1748 |
+
"query": "\"differential privacy\" in:description created:2011-01-01..2011-12-31",
|
| 1749 |
+
"query_id": "trust.differential-privacy",
|
| 1750 |
+
"repositories_observed_on_last_page": 0,
|
| 1751 |
+
"sampled_first_page": true,
|
| 1752 |
+
"search_limit_reached": false,
|
| 1753 |
+
"status": "complete",
|
| 1754 |
+
"total_count": 0,
|
| 1755 |
+
"year": 2011
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"coverage_gap": false,
|
| 1759 |
+
"coverage_gap_reason": null,
|
| 1760 |
+
"incomplete_results": false,
|
| 1761 |
+
"pages_scanned": 1,
|
| 1762 |
+
"query": "\"object detection\" in:description created:2011-01-01..2011-12-31",
|
| 1763 |
+
"query_id": "vision.object-detection",
|
| 1764 |
+
"repositories_observed_on_last_page": 5,
|
| 1765 |
+
"sampled_first_page": true,
|
| 1766 |
+
"search_limit_reached": false,
|
| 1767 |
+
"status": "complete",
|
| 1768 |
+
"total_count": 5,
|
| 1769 |
+
"year": 2011
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"coverage_gap": false,
|
| 1773 |
+
"coverage_gap_reason": null,
|
| 1774 |
+
"incomplete_results": false,
|
| 1775 |
+
"pages_scanned": 1,
|
| 1776 |
+
"query": "\"ecological forecasting\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1777 |
+
"query_id": "applied.ecological-forecasting",
|
| 1778 |
+
"repositories_observed_on_last_page": 0,
|
| 1779 |
+
"sampled_first_page": true,
|
| 1780 |
+
"search_limit_reached": false,
|
| 1781 |
+
"status": "complete",
|
| 1782 |
+
"total_count": 0,
|
| 1783 |
+
"year": 2011
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"coverage_gap": false,
|
| 1787 |
+
"coverage_gap_reason": null,
|
| 1788 |
+
"incomplete_results": false,
|
| 1789 |
+
"pages_scanned": 1,
|
| 1790 |
+
"query": "\"phylogenetics\" in:description created:2011-01-01..2011-12-31",
|
| 1791 |
+
"query_id": "bio.phylogenetics",
|
| 1792 |
+
"repositories_observed_on_last_page": 38,
|
| 1793 |
+
"sampled_first_page": true,
|
| 1794 |
+
"search_limit_reached": false,
|
| 1795 |
+
"status": "complete",
|
| 1796 |
+
"total_count": 38,
|
| 1797 |
+
"year": 2011
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"coverage_gap": false,
|
| 1801 |
+
"coverage_gap_reason": null,
|
| 1802 |
+
"incomplete_results": false,
|
| 1803 |
+
"pages_scanned": 1,
|
| 1804 |
+
"query": "\"KV cache\" in:description created:2011-01-01..2011-12-31",
|
| 1805 |
+
"query_id": "efficiency.kv-cache",
|
| 1806 |
+
"repositories_observed_on_last_page": 0,
|
| 1807 |
+
"sampled_first_page": true,
|
| 1808 |
+
"search_limit_reached": false,
|
| 1809 |
+
"status": "complete",
|
| 1810 |
+
"total_count": 0,
|
| 1811 |
+
"year": 2011
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"coverage_gap": false,
|
| 1815 |
+
"coverage_gap_reason": null,
|
| 1816 |
+
"incomplete_results": false,
|
| 1817 |
+
"pages_scanned": 1,
|
| 1818 |
+
"query": "\"intermittent demand forecasting\" machine learning in:description,readme created:2011-01-01..2011-12-31",
|
| 1819 |
+
"query_id": "gap2026.forecasting-intermittent-demand",
|
| 1820 |
+
"repositories_observed_on_last_page": 0,
|
| 1821 |
+
"sampled_first_page": true,
|
| 1822 |
+
"search_limit_reached": false,
|
| 1823 |
+
"status": "complete",
|
| 1824 |
+
"total_count": 0,
|
| 1825 |
+
"year": 2011
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"coverage_gap": false,
|
| 1829 |
+
"coverage_gap_reason": null,
|
| 1830 |
+
"incomplete_results": false,
|
| 1831 |
+
"pages_scanned": 1,
|
| 1832 |
+
"query": "\"domain adaptation\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1833 |
+
"query_id": "general.domain-adaptation",
|
| 1834 |
+
"repositories_observed_on_last_page": 0,
|
| 1835 |
+
"sampled_first_page": true,
|
| 1836 |
+
"search_limit_reached": false,
|
| 1837 |
+
"status": "complete",
|
| 1838 |
+
"total_count": 0,
|
| 1839 |
+
"year": 2011
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"coverage_gap": false,
|
| 1843 |
+
"coverage_gap_reason": null,
|
| 1844 |
+
"incomplete_results": false,
|
| 1845 |
+
"pages_scanned": 1,
|
| 1846 |
+
"query": "LiDAR in:description \"deep learning\" created:2011-01-01..2011-12-31",
|
| 1847 |
+
"query_id": "geo.lidar",
|
| 1848 |
+
"repositories_observed_on_last_page": 0,
|
| 1849 |
+
"sampled_first_page": true,
|
| 1850 |
+
"search_limit_reached": false,
|
| 1851 |
+
"status": "complete",
|
| 1852 |
+
"total_count": 0,
|
| 1853 |
+
"year": 2011
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"coverage_gap": false,
|
| 1857 |
+
"coverage_gap_reason": null,
|
| 1858 |
+
"incomplete_results": false,
|
| 1859 |
+
"pages_scanned": 1,
|
| 1860 |
+
"query": "topic:knowledge-graph created:2011-01-01..2011-12-31",
|
| 1861 |
+
"query_id": "graph.knowledge-graphs",
|
| 1862 |
+
"repositories_observed_on_last_page": 2,
|
| 1863 |
+
"sampled_first_page": true,
|
| 1864 |
+
"search_limit_reached": false,
|
| 1865 |
+
"status": "complete",
|
| 1866 |
+
"total_count": 2,
|
| 1867 |
+
"year": 2011
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"coverage_gap": false,
|
| 1871 |
+
"coverage_gap_reason": null,
|
| 1872 |
+
"incomplete_results": false,
|
| 1873 |
+
"pages_scanned": 1,
|
| 1874 |
+
"query": "\"long context\" \"language model\" in:readme created:2011-01-01..2011-12-31",
|
| 1875 |
+
"query_id": "llm.long-context",
|
| 1876 |
+
"repositories_observed_on_last_page": 1,
|
| 1877 |
+
"sampled_first_page": true,
|
| 1878 |
+
"search_limit_reached": false,
|
| 1879 |
+
"status": "complete",
|
| 1880 |
+
"total_count": 1,
|
| 1881 |
+
"year": 2011
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"coverage_gap": false,
|
| 1885 |
+
"coverage_gap_reason": null,
|
| 1886 |
+
"incomplete_results": false,
|
| 1887 |
+
"pages_scanned": 1,
|
| 1888 |
+
"query": "\"medical image registration\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1889 |
+
"query_id": "medical.medical-image-registration",
|
| 1890 |
+
"repositories_observed_on_last_page": 1,
|
| 1891 |
+
"sampled_first_page": true,
|
| 1892 |
+
"search_limit_reached": false,
|
| 1893 |
+
"status": "complete",
|
| 1894 |
+
"total_count": 1,
|
| 1895 |
+
"year": 2011
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"coverage_gap": false,
|
| 1899 |
+
"coverage_gap_reason": null,
|
| 1900 |
+
"incomplete_results": false,
|
| 1901 |
+
"pages_scanned": 1,
|
| 1902 |
+
"query": "\"point cloud\" in:description created:2011-01-01..2011-12-31",
|
| 1903 |
+
"query_id": "multimodal.point-cloud",
|
| 1904 |
+
"repositories_observed_on_last_page": 31,
|
| 1905 |
+
"sampled_first_page": true,
|
| 1906 |
+
"search_limit_reached": false,
|
| 1907 |
+
"status": "complete",
|
| 1908 |
+
"total_count": 31,
|
| 1909 |
+
"year": 2011
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"coverage_gap": false,
|
| 1913 |
+
"coverage_gap_reason": null,
|
| 1914 |
+
"incomplete_results": false,
|
| 1915 |
+
"pages_scanned": 1,
|
| 1916 |
+
"query": "\"sentence embeddings\" in:description created:2011-01-01..2011-12-31",
|
| 1917 |
+
"query_id": "nlp.sentence-embeddings",
|
| 1918 |
+
"repositories_observed_on_last_page": 0,
|
| 1919 |
+
"sampled_first_page": true,
|
| 1920 |
+
"search_limit_reached": false,
|
| 1921 |
+
"status": "complete",
|
| 1922 |
+
"total_count": 0,
|
| 1923 |
+
"year": 2011
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"coverage_gap": false,
|
| 1927 |
+
"coverage_gap_reason": null,
|
| 1928 |
+
"incomplete_results": false,
|
| 1929 |
+
"pages_scanned": 1,
|
| 1930 |
+
"query": "\"reduced-order modeling\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 1931 |
+
"query_id": "probable.scientific-reduced-order-modeling",
|
| 1932 |
+
"repositories_observed_on_last_page": 0,
|
| 1933 |
+
"sampled_first_page": true,
|
| 1934 |
+
"search_limit_reached": false,
|
| 1935 |
+
"status": "complete",
|
| 1936 |
+
"total_count": 0,
|
| 1937 |
+
"year": 2011
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"coverage_gap": false,
|
| 1941 |
+
"coverage_gap_reason": null,
|
| 1942 |
+
"incomplete_results": false,
|
| 1943 |
+
"pages_scanned": 1,
|
| 1944 |
+
"query": "\"legal document classification\" in:name,description,readme created:2011-01-01..2011-12-31",
|
| 1945 |
+
"query_id": "recall.legal-document-classification",
|
| 1946 |
+
"repositories_observed_on_last_page": 0,
|
| 1947 |
+
"sampled_first_page": true,
|
| 1948 |
+
"search_limit_reached": false,
|
| 1949 |
+
"status": "complete",
|
| 1950 |
+
"total_count": 0,
|
| 1951 |
+
"year": 2011
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"coverage_gap": false,
|
| 1955 |
+
"coverage_gap_reason": null,
|
| 1956 |
+
"incomplete_results": false,
|
| 1957 |
+
"pages_scanned": 1,
|
| 1958 |
+
"query": "\"multi-agent reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 1959 |
+
"query_id": "rl.multiagent",
|
| 1960 |
+
"repositories_observed_on_last_page": 0,
|
| 1961 |
+
"sampled_first_page": true,
|
| 1962 |
+
"search_limit_reached": false,
|
| 1963 |
+
"status": "complete",
|
| 1964 |
+
"total_count": 0,
|
| 1965 |
+
"year": 2011
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"coverage_gap": false,
|
| 1969 |
+
"coverage_gap_reason": null,
|
| 1970 |
+
"incomplete_results": false,
|
| 1971 |
+
"pages_scanned": 1,
|
| 1972 |
+
"query": "\"robot manipulation learning\" in:readme created:2011-01-01..2011-12-31",
|
| 1973 |
+
"query_id": "robotics.robot-manipulation-learning",
|
| 1974 |
+
"repositories_observed_on_last_page": 0,
|
| 1975 |
+
"sampled_first_page": true,
|
| 1976 |
+
"search_limit_reached": false,
|
| 1977 |
+
"status": "complete",
|
| 1978 |
+
"total_count": 0,
|
| 1979 |
+
"year": 2011
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"coverage_gap": false,
|
| 1983 |
+
"coverage_gap_reason": null,
|
| 1984 |
+
"incomplete_results": false,
|
| 1985 |
+
"pages_scanned": 1,
|
| 1986 |
+
"query": "\"particle physics\" in:description created:2011-01-01..2011-12-31",
|
| 1987 |
+
"query_id": "science.particle-physics",
|
| 1988 |
+
"repositories_observed_on_last_page": 1,
|
| 1989 |
+
"sampled_first_page": true,
|
| 1990 |
+
"search_limit_reached": false,
|
| 1991 |
+
"status": "complete",
|
| 1992 |
+
"total_count": 1,
|
| 1993 |
+
"year": 2011
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"coverage_gap": false,
|
| 1997 |
+
"coverage_gap_reason": null,
|
| 1998 |
+
"incomplete_results": false,
|
| 1999 |
+
"pages_scanned": 1,
|
| 2000 |
+
"query": "\"spiking neural network\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2001 |
+
"query_id": "specialized.spiking-neural-network",
|
| 2002 |
+
"repositories_observed_on_last_page": 3,
|
| 2003 |
+
"sampled_first_page": true,
|
| 2004 |
+
"search_limit_reached": false,
|
| 2005 |
+
"status": "complete",
|
| 2006 |
+
"total_count": 3,
|
| 2007 |
+
"year": 2011
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"coverage_gap": false,
|
| 2011 |
+
"coverage_gap_reason": null,
|
| 2012 |
+
"incomplete_results": false,
|
| 2013 |
+
"pages_scanned": 1,
|
| 2014 |
+
"query": "\"probabilistic forecasting\" in:readme created:2011-01-01..2011-12-31",
|
| 2015 |
+
"query_id": "timeseries.probabilistic-forecasting",
|
| 2016 |
+
"repositories_observed_on_last_page": 0,
|
| 2017 |
+
"sampled_first_page": true,
|
| 2018 |
+
"search_limit_reached": false,
|
| 2019 |
+
"status": "complete",
|
| 2020 |
+
"total_count": 0,
|
| 2021 |
+
"year": 2011
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"coverage_gap": false,
|
| 2025 |
+
"coverage_gap_reason": null,
|
| 2026 |
+
"incomplete_results": false,
|
| 2027 |
+
"pages_scanned": 1,
|
| 2028 |
+
"query": "\"distribution shift\" in:description created:2011-01-01..2011-12-31",
|
| 2029 |
+
"query_id": "trust.distribution-shift",
|
| 2030 |
+
"repositories_observed_on_last_page": 0,
|
| 2031 |
+
"sampled_first_page": true,
|
| 2032 |
+
"search_limit_reached": false,
|
| 2033 |
+
"status": "complete",
|
| 2034 |
+
"total_count": 0,
|
| 2035 |
+
"year": 2011
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"coverage_gap": false,
|
| 2039 |
+
"coverage_gap_reason": null,
|
| 2040 |
+
"incomplete_results": false,
|
| 2041 |
+
"pages_scanned": 1,
|
| 2042 |
+
"query": "\"object tracking\" in:readme created:2011-01-01..2011-12-31",
|
| 2043 |
+
"query_id": "vision.object-tracking",
|
| 2044 |
+
"repositories_observed_on_last_page": 21,
|
| 2045 |
+
"sampled_first_page": true,
|
| 2046 |
+
"search_limit_reached": false,
|
| 2047 |
+
"status": "complete",
|
| 2048 |
+
"total_count": 21,
|
| 2049 |
+
"year": 2011
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"coverage_gap": false,
|
| 2053 |
+
"coverage_gap_reason": null,
|
| 2054 |
+
"incomplete_results": false,
|
| 2055 |
+
"pages_scanned": 1,
|
| 2056 |
+
"query": "\"educational data mining\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2057 |
+
"query_id": "applied.educational-data-mining",
|
| 2058 |
+
"repositories_observed_on_last_page": 0,
|
| 2059 |
+
"sampled_first_page": true,
|
| 2060 |
+
"search_limit_reached": false,
|
| 2061 |
+
"status": "complete",
|
| 2062 |
+
"total_count": 0,
|
| 2063 |
+
"year": 2011
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"coverage_gap": false,
|
| 2067 |
+
"coverage_gap_reason": null,
|
| 2068 |
+
"incomplete_results": false,
|
| 2069 |
+
"pages_scanned": 1,
|
| 2070 |
+
"query": "\"protein design\" in:description created:2011-01-01..2011-12-31",
|
| 2071 |
+
"query_id": "bio.protein-design",
|
| 2072 |
+
"repositories_observed_on_last_page": 0,
|
| 2073 |
+
"sampled_first_page": true,
|
| 2074 |
+
"search_limit_reached": false,
|
| 2075 |
+
"status": "complete",
|
| 2076 |
+
"total_count": 0,
|
| 2077 |
+
"year": 2011
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"coverage_gap": false,
|
| 2081 |
+
"coverage_gap_reason": null,
|
| 2082 |
+
"incomplete_results": false,
|
| 2083 |
+
"pages_scanned": 1,
|
| 2084 |
+
"query": "LoRA in:description created:2011-01-01..2011-12-31",
|
| 2085 |
+
"query_id": "efficiency.lora",
|
| 2086 |
+
"repositories_observed_on_last_page": 0,
|
| 2087 |
+
"sampled_first_page": true,
|
| 2088 |
+
"search_limit_reached": false,
|
| 2089 |
+
"status": "complete",
|
| 2090 |
+
"total_count": 0,
|
| 2091 |
+
"year": 2011
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"coverage_gap": false,
|
| 2095 |
+
"coverage_gap_reason": null,
|
| 2096 |
+
"incomplete_results": false,
|
| 2097 |
+
"pages_scanned": 1,
|
| 2098 |
+
"query": "\"neural quantile forecasting\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2099 |
+
"query_id": "gap2026.forecasting-quantile",
|
| 2100 |
+
"repositories_observed_on_last_page": 0,
|
| 2101 |
+
"sampled_first_page": true,
|
| 2102 |
+
"search_limit_reached": false,
|
| 2103 |
+
"status": "complete",
|
| 2104 |
+
"total_count": 0,
|
| 2105 |
+
"year": 2011
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"coverage_gap": false,
|
| 2109 |
+
"coverage_gap_reason": null,
|
| 2110 |
+
"incomplete_results": false,
|
| 2111 |
+
"pages_scanned": 1,
|
| 2112 |
+
"query": "\"Gaussian mixture model\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2113 |
+
"query_id": "general.gaussian-mixture-models",
|
| 2114 |
+
"repositories_observed_on_last_page": 8,
|
| 2115 |
+
"sampled_first_page": true,
|
| 2116 |
+
"search_limit_reached": false,
|
| 2117 |
+
"status": "complete",
|
| 2118 |
+
"total_count": 8,
|
| 2119 |
+
"year": 2011
|
| 2120 |
+
},
|
| 2121 |
+
{
|
| 2122 |
+
"coverage_gap": false,
|
| 2123 |
+
"coverage_gap_reason": null,
|
| 2124 |
+
"incomplete_results": false,
|
| 2125 |
+
"pages_scanned": 1,
|
| 2126 |
+
"query": "\"human mobility\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2127 |
+
"query_id": "geo.mobility-modeling",
|
| 2128 |
+
"repositories_observed_on_last_page": 0,
|
| 2129 |
+
"sampled_first_page": true,
|
| 2130 |
+
"search_limit_reached": false,
|
| 2131 |
+
"status": "complete",
|
| 2132 |
+
"total_count": 0,
|
| 2133 |
+
"year": 2011
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"coverage_gap": false,
|
| 2137 |
+
"coverage_gap_reason": null,
|
| 2138 |
+
"incomplete_results": false,
|
| 2139 |
+
"pages_scanned": 1,
|
| 2140 |
+
"query": "\"link prediction\" in:description created:2011-01-01..2011-12-31",
|
| 2141 |
+
"query_id": "graph.link-prediction",
|
| 2142 |
+
"repositories_observed_on_last_page": 3,
|
| 2143 |
+
"sampled_first_page": true,
|
| 2144 |
+
"search_limit_reached": false,
|
| 2145 |
+
"status": "complete",
|
| 2146 |
+
"total_count": 3,
|
| 2147 |
+
"year": 2011
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"coverage_gap": false,
|
| 2151 |
+
"coverage_gap_reason": null,
|
| 2152 |
+
"incomplete_results": false,
|
| 2153 |
+
"pages_scanned": 1,
|
| 2154 |
+
"query": "\"multimodal language model\" in:description created:2011-01-01..2011-12-31",
|
| 2155 |
+
"query_id": "llm.multimodal",
|
| 2156 |
+
"repositories_observed_on_last_page": 0,
|
| 2157 |
+
"sampled_first_page": true,
|
| 2158 |
+
"search_limit_reached": false,
|
| 2159 |
+
"status": "complete",
|
| 2160 |
+
"total_count": 0,
|
| 2161 |
+
"year": 2011
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"coverage_gap": false,
|
| 2165 |
+
"coverage_gap_reason": null,
|
| 2166 |
+
"incomplete_results": false,
|
| 2167 |
+
"pages_scanned": 1,
|
| 2168 |
+
"query": "\"medical image segmentation\" in:description created:2011-01-01..2011-12-31",
|
| 2169 |
+
"query_id": "medical.medical-image-segmentation",
|
| 2170 |
+
"repositories_observed_on_last_page": 2,
|
| 2171 |
+
"sampled_first_page": true,
|
| 2172 |
+
"search_limit_reached": false,
|
| 2173 |
+
"status": "complete",
|
| 2174 |
+
"total_count": 2,
|
| 2175 |
+
"year": 2011
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"coverage_gap": false,
|
| 2179 |
+
"coverage_gap_reason": null,
|
| 2180 |
+
"incomplete_results": false,
|
| 2181 |
+
"pages_scanned": 1,
|
| 2182 |
+
"query": "\"scene understanding\" in:description created:2011-01-01..2011-12-31",
|
| 2183 |
+
"query_id": "multimodal.scene-understanding",
|
| 2184 |
+
"repositories_observed_on_last_page": 2,
|
| 2185 |
+
"sampled_first_page": true,
|
| 2186 |
+
"search_limit_reached": false,
|
| 2187 |
+
"status": "complete",
|
| 2188 |
+
"total_count": 2,
|
| 2189 |
+
"year": 2011
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"coverage_gap": false,
|
| 2193 |
+
"coverage_gap_reason": null,
|
| 2194 |
+
"incomplete_results": false,
|
| 2195 |
+
"pages_scanned": 1,
|
| 2196 |
+
"query": "\"subword tokenization\" in:readme created:2011-01-01..2011-12-31",
|
| 2197 |
+
"query_id": "nlp.subword-tokenization",
|
| 2198 |
+
"repositories_observed_on_last_page": 0,
|
| 2199 |
+
"sampled_first_page": true,
|
| 2200 |
+
"search_limit_reached": false,
|
| 2201 |
+
"status": "complete",
|
| 2202 |
+
"total_count": 0,
|
| 2203 |
+
"year": 2011
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"coverage_gap": false,
|
| 2207 |
+
"coverage_gap_reason": null,
|
| 2208 |
+
"incomplete_results": false,
|
| 2209 |
+
"pages_scanned": 1,
|
| 2210 |
+
"query": "\"surrogate modeling\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2211 |
+
"query_id": "probable.scientific-surrogate-modeling",
|
| 2212 |
+
"repositories_observed_on_last_page": 0,
|
| 2213 |
+
"sampled_first_page": true,
|
| 2214 |
+
"search_limit_reached": false,
|
| 2215 |
+
"status": "complete",
|
| 2216 |
+
"total_count": 0,
|
| 2217 |
+
"year": 2011
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"coverage_gap": false,
|
| 2221 |
+
"coverage_gap_reason": null,
|
| 2222 |
+
"incomplete_results": false,
|
| 2223 |
+
"pages_scanned": 1,
|
| 2224 |
+
"query": "legal NLP in:name,description,readme created:2011-01-01..2011-12-31",
|
| 2225 |
+
"query_id": "recall.legal-nlp",
|
| 2226 |
+
"repositories_observed_on_last_page": 2,
|
| 2227 |
+
"sampled_first_page": true,
|
| 2228 |
+
"search_limit_reached": false,
|
| 2229 |
+
"status": "complete",
|
| 2230 |
+
"total_count": 2,
|
| 2231 |
+
"year": 2011
|
| 2232 |
+
},
|
| 2233 |
+
{
|
| 2234 |
+
"coverage_gap": false,
|
| 2235 |
+
"coverage_gap_reason": null,
|
| 2236 |
+
"incomplete_results": false,
|
| 2237 |
+
"pages_scanned": 1,
|
| 2238 |
+
"query": "\"offline reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 2239 |
+
"query_id": "rl.offline",
|
| 2240 |
+
"repositories_observed_on_last_page": 0,
|
| 2241 |
+
"sampled_first_page": true,
|
| 2242 |
+
"search_limit_reached": false,
|
| 2243 |
+
"status": "complete",
|
| 2244 |
+
"total_count": 0,
|
| 2245 |
+
"year": 2011
|
| 2246 |
+
},
|
| 2247 |
+
{
|
| 2248 |
+
"coverage_gap": false,
|
| 2249 |
+
"coverage_gap_reason": null,
|
| 2250 |
+
"incomplete_results": false,
|
| 2251 |
+
"pages_scanned": 1,
|
| 2252 |
+
"query": "\"robot motion planning\" in:description created:2011-01-01..2011-12-31",
|
| 2253 |
+
"query_id": "robotics.robot-motion-planning",
|
| 2254 |
+
"repositories_observed_on_last_page": 0,
|
| 2255 |
+
"sampled_first_page": true,
|
| 2256 |
+
"search_limit_reached": false,
|
| 2257 |
+
"status": "complete",
|
| 2258 |
+
"total_count": 0,
|
| 2259 |
+
"year": 2011
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"coverage_gap": false,
|
| 2263 |
+
"coverage_gap_reason": null,
|
| 2264 |
+
"incomplete_results": false,
|
| 2265 |
+
"pages_scanned": 1,
|
| 2266 |
+
"query": "photonics \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2267 |
+
"query_id": "science.photonics",
|
| 2268 |
+
"repositories_observed_on_last_page": 0,
|
| 2269 |
+
"sampled_first_page": true,
|
| 2270 |
+
"search_limit_reached": false,
|
| 2271 |
+
"status": "complete",
|
| 2272 |
+
"total_count": 0,
|
| 2273 |
+
"year": 2011
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"coverage_gap": false,
|
| 2277 |
+
"coverage_gap_reason": null,
|
| 2278 |
+
"incomplete_results": false,
|
| 2279 |
+
"pages_scanned": 1,
|
| 2280 |
+
"query": "\"test-time adaptation\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2281 |
+
"query_id": "specialized.test-time-adaptation",
|
| 2282 |
+
"repositories_observed_on_last_page": 0,
|
| 2283 |
+
"sampled_first_page": true,
|
| 2284 |
+
"search_limit_reached": false,
|
| 2285 |
+
"status": "complete",
|
| 2286 |
+
"total_count": 0,
|
| 2287 |
+
"year": 2011
|
| 2288 |
+
},
|
| 2289 |
+
{
|
| 2290 |
+
"coverage_gap": false,
|
| 2291 |
+
"coverage_gap_reason": null,
|
| 2292 |
+
"incomplete_results": false,
|
| 2293 |
+
"pages_scanned": 1,
|
| 2294 |
+
"query": "\"remaining useful life\" in:readme created:2011-01-01..2011-12-31",
|
| 2295 |
+
"query_id": "timeseries.remaining-useful-life",
|
| 2296 |
+
"repositories_observed_on_last_page": 0,
|
| 2297 |
+
"sampled_first_page": true,
|
| 2298 |
+
"search_limit_reached": false,
|
| 2299 |
+
"status": "complete",
|
| 2300 |
+
"total_count": 0,
|
| 2301 |
+
"year": 2011
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"coverage_gap": false,
|
| 2305 |
+
"coverage_gap_reason": null,
|
| 2306 |
+
"incomplete_results": false,
|
| 2307 |
+
"pages_scanned": 1,
|
| 2308 |
+
"query": "\"domain generalization\" in:description created:2011-01-01..2011-12-31",
|
| 2309 |
+
"query_id": "trust.domain-generalization",
|
| 2310 |
+
"repositories_observed_on_last_page": 0,
|
| 2311 |
+
"sampled_first_page": true,
|
| 2312 |
+
"search_limit_reached": false,
|
| 2313 |
+
"status": "complete",
|
| 2314 |
+
"total_count": 0,
|
| 2315 |
+
"year": 2011
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"coverage_gap": false,
|
| 2319 |
+
"coverage_gap_reason": null,
|
| 2320 |
+
"incomplete_results": false,
|
| 2321 |
+
"pages_scanned": 1,
|
| 2322 |
+
"query": "topic:ocr created:2011-01-01..2011-12-31",
|
| 2323 |
+
"query_id": "vision.ocr",
|
| 2324 |
+
"repositories_observed_on_last_page": 5,
|
| 2325 |
+
"sampled_first_page": true,
|
| 2326 |
+
"search_limit_reached": false,
|
| 2327 |
+
"status": "complete",
|
| 2328 |
+
"total_count": 5,
|
| 2329 |
+
"year": 2011
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"coverage_gap": false,
|
| 2333 |
+
"coverage_gap_reason": null,
|
| 2334 |
+
"incomplete_results": false,
|
| 2335 |
+
"pages_scanned": 1,
|
| 2336 |
+
"query": "\"load forecasting\" energy in:description,readme created:2011-01-01..2011-12-31",
|
| 2337 |
+
"query_id": "applied.energy-load-forecasting",
|
| 2338 |
+
"repositories_observed_on_last_page": 0,
|
| 2339 |
+
"sampled_first_page": true,
|
| 2340 |
+
"search_limit_reached": false,
|
| 2341 |
+
"status": "complete",
|
| 2342 |
+
"total_count": 0,
|
| 2343 |
+
"year": 2011
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"coverage_gap": false,
|
| 2347 |
+
"coverage_gap_reason": null,
|
| 2348 |
+
"incomplete_results": false,
|
| 2349 |
+
"pages_scanned": 1,
|
| 2350 |
+
"query": "\"protein folding\" in:readme created:2011-01-01..2011-12-31",
|
| 2351 |
+
"query_id": "bio.protein-folding",
|
| 2352 |
+
"repositories_observed_on_last_page": 5,
|
| 2353 |
+
"sampled_first_page": true,
|
| 2354 |
+
"search_limit_reached": false,
|
| 2355 |
+
"status": "complete",
|
| 2356 |
+
"total_count": 5,
|
| 2357 |
+
"year": 2011
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"coverage_gap": false,
|
| 2361 |
+
"coverage_gap_reason": null,
|
| 2362 |
+
"incomplete_results": false,
|
| 2363 |
+
"pages_scanned": 1,
|
| 2364 |
+
"query": "\"low-rank factorization\" in:description created:2011-01-01..2011-12-31",
|
| 2365 |
+
"query_id": "efficiency.low-rank-factorization",
|
| 2366 |
+
"repositories_observed_on_last_page": 0,
|
| 2367 |
+
"sampled_first_page": true,
|
| 2368 |
+
"search_limit_reached": false,
|
| 2369 |
+
"status": "complete",
|
| 2370 |
+
"total_count": 0,
|
| 2371 |
+
"year": 2011
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"coverage_gap": false,
|
| 2375 |
+
"coverage_gap_reason": null,
|
| 2376 |
+
"incomplete_results": false,
|
| 2377 |
+
"pages_scanned": 1,
|
| 2378 |
+
"query": "\"carbon emissions\" machine learning training in:description,readme created:2011-01-01..2011-12-31",
|
| 2379 |
+
"query_id": "gap2026.green-ai-carbon",
|
| 2380 |
+
"repositories_observed_on_last_page": 0,
|
| 2381 |
+
"sampled_first_page": true,
|
| 2382 |
+
"search_limit_reached": false,
|
| 2383 |
+
"status": "complete",
|
| 2384 |
+
"total_count": 0,
|
| 2385 |
+
"year": 2011
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"coverage_gap": false,
|
| 2389 |
+
"coverage_gap_reason": null,
|
| 2390 |
+
"incomplete_results": false,
|
| 2391 |
+
"pages_scanned": 1,
|
| 2392 |
+
"query": "\"Gaussian process\" in:description created:2011-01-01..2011-12-31",
|
| 2393 |
+
"query_id": "general.gaussian-process",
|
| 2394 |
+
"repositories_observed_on_last_page": 7,
|
| 2395 |
+
"sampled_first_page": true,
|
| 2396 |
+
"search_limit_reached": false,
|
| 2397 |
+
"status": "complete",
|
| 2398 |
+
"total_count": 7,
|
| 2399 |
+
"year": 2011
|
| 2400 |
+
},
|
| 2401 |
+
{
|
| 2402 |
+
"coverage_gap": false,
|
| 2403 |
+
"coverage_gap_reason": null,
|
| 2404 |
+
"incomplete_results": false,
|
| 2405 |
+
"pages_scanned": 1,
|
| 2406 |
+
"query": "\"object detection\" \"remote sensing\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2407 |
+
"query_id": "geo.object-detection",
|
| 2408 |
+
"repositories_observed_on_last_page": 0,
|
| 2409 |
+
"sampled_first_page": true,
|
| 2410 |
+
"search_limit_reached": false,
|
| 2411 |
+
"status": "complete",
|
| 2412 |
+
"total_count": 0,
|
| 2413 |
+
"year": 2011
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"coverage_gap": false,
|
| 2417 |
+
"coverage_gap_reason": null,
|
| 2418 |
+
"incomplete_results": false,
|
| 2419 |
+
"pages_scanned": 1,
|
| 2420 |
+
"query": "\"manifold learning\" in:description created:2011-01-01..2011-12-31",
|
| 2421 |
+
"query_id": "graph.manifold-learning",
|
| 2422 |
+
"repositories_observed_on_last_page": 0,
|
| 2423 |
+
"sampled_first_page": true,
|
| 2424 |
+
"search_limit_reached": false,
|
| 2425 |
+
"status": "complete",
|
| 2426 |
+
"total_count": 0,
|
| 2427 |
+
"year": 2011
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"coverage_gap": false,
|
| 2431 |
+
"coverage_gap_reason": null,
|
| 2432 |
+
"incomplete_results": false,
|
| 2433 |
+
"pages_scanned": 1,
|
| 2434 |
+
"query": "\"parameter-efficient fine-tuning\" in:readme created:2011-01-01..2011-12-31",
|
| 2435 |
+
"query_id": "llm.parameter-efficient-finetuning",
|
| 2436 |
+
"repositories_observed_on_last_page": 0,
|
| 2437 |
+
"sampled_first_page": true,
|
| 2438 |
+
"search_limit_reached": false,
|
| 2439 |
+
"status": "complete",
|
| 2440 |
+
"total_count": 0,
|
| 2441 |
+
"year": 2011
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"coverage_gap": false,
|
| 2445 |
+
"coverage_gap_reason": null,
|
| 2446 |
+
"incomplete_results": false,
|
| 2447 |
+
"pages_scanned": 1,
|
| 2448 |
+
"query": "\"medical imaging\" in:readme created:2011-01-01..2011-12-31",
|
| 2449 |
+
"query_id": "medical.medical-imaging",
|
| 2450 |
+
"repositories_observed_on_last_page": 18,
|
| 2451 |
+
"sampled_first_page": true,
|
| 2452 |
+
"search_limit_reached": false,
|
| 2453 |
+
"status": "complete",
|
| 2454 |
+
"total_count": 18,
|
| 2455 |
+
"year": 2011
|
| 2456 |
+
},
|
| 2457 |
+
{
|
| 2458 |
+
"coverage_gap": false,
|
| 2459 |
+
"coverage_gap_reason": null,
|
| 2460 |
+
"incomplete_results": false,
|
| 2461 |
+
"pages_scanned": 1,
|
| 2462 |
+
"query": "\"text to 3D\" in:readme created:2011-01-01..2011-12-31",
|
| 2463 |
+
"query_id": "multimodal.text-to-3d",
|
| 2464 |
+
"repositories_observed_on_last_page": 0,
|
| 2465 |
+
"sampled_first_page": true,
|
| 2466 |
+
"search_limit_reached": false,
|
| 2467 |
+
"status": "complete",
|
| 2468 |
+
"total_count": 0,
|
| 2469 |
+
"year": 2011
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"coverage_gap": false,
|
| 2473 |
+
"coverage_gap_reason": null,
|
| 2474 |
+
"incomplete_results": false,
|
| 2475 |
+
"pages_scanned": 1,
|
| 2476 |
+
"query": "\"text classification\" in:description created:2011-01-01..2011-12-31",
|
| 2477 |
+
"query_id": "nlp.text-classification",
|
| 2478 |
+
"repositories_observed_on_last_page": 10,
|
| 2479 |
+
"sampled_first_page": true,
|
| 2480 |
+
"search_limit_reached": false,
|
| 2481 |
+
"status": "complete",
|
| 2482 |
+
"total_count": 10,
|
| 2483 |
+
"year": 2011
|
| 2484 |
+
},
|
| 2485 |
+
{
|
| 2486 |
+
"coverage_gap": false,
|
| 2487 |
+
"coverage_gap_reason": null,
|
| 2488 |
+
"incomplete_results": false,
|
| 2489 |
+
"pages_scanned": 1,
|
| 2490 |
+
"query": "\"system identification\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2491 |
+
"query_id": "probable.scientific-system-identification",
|
| 2492 |
+
"repositories_observed_on_last_page": 0,
|
| 2493 |
+
"sampled_first_page": true,
|
| 2494 |
+
"search_limit_reached": false,
|
| 2495 |
+
"status": "complete",
|
| 2496 |
+
"total_count": 0,
|
| 2497 |
+
"year": 2011
|
| 2498 |
+
},
|
| 2499 |
+
{
|
| 2500 |
+
"coverage_gap": true,
|
| 2501 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2502 |
+
"incomplete_results": false,
|
| 2503 |
+
"pages_scanned": 1,
|
| 2504 |
+
"query": "\"artificial intelligence\" in:name,description,readme created:2011-01-01..2011-12-31",
|
| 2505 |
+
"query_id": "recall.name.artificial-intelligence",
|
| 2506 |
+
"repositories_observed_on_last_page": 100,
|
| 2507 |
+
"sampled_first_page": true,
|
| 2508 |
+
"search_limit_reached": false,
|
| 2509 |
+
"status": "sampled",
|
| 2510 |
+
"total_count": 230,
|
| 2511 |
+
"year": 2011
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"coverage_gap": false,
|
| 2515 |
+
"coverage_gap_reason": null,
|
| 2516 |
+
"incomplete_results": false,
|
| 2517 |
+
"pages_scanned": 1,
|
| 2518 |
+
"query": "\"reinforcement learning planning\" in:description created:2011-01-01..2011-12-31",
|
| 2519 |
+
"query_id": "rl.planning",
|
| 2520 |
+
"repositories_observed_on_last_page": 0,
|
| 2521 |
+
"sampled_first_page": true,
|
| 2522 |
+
"search_limit_reached": false,
|
| 2523 |
+
"status": "complete",
|
| 2524 |
+
"total_count": 0,
|
| 2525 |
+
"year": 2011
|
| 2526 |
+
},
|
| 2527 |
+
{
|
| 2528 |
+
"coverage_gap": false,
|
| 2529 |
+
"coverage_gap_reason": null,
|
| 2530 |
+
"incomplete_results": false,
|
| 2531 |
+
"pages_scanned": 1,
|
| 2532 |
+
"query": "\"robotics reinforcement learning\" in:description created:2011-01-01..2011-12-31",
|
| 2533 |
+
"query_id": "robotics.robotics-reinforcement-learning",
|
| 2534 |
+
"repositories_observed_on_last_page": 0,
|
| 2535 |
+
"sampled_first_page": true,
|
| 2536 |
+
"search_limit_reached": false,
|
| 2537 |
+
"status": "complete",
|
| 2538 |
+
"total_count": 0,
|
| 2539 |
+
"year": 2011
|
| 2540 |
+
},
|
| 2541 |
+
{
|
| 2542 |
+
"coverage_gap": true,
|
| 2543 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2544 |
+
"incomplete_results": false,
|
| 2545 |
+
"pages_scanned": 1,
|
| 2546 |
+
"query": "physics in:description created:2011-01-01..2011-12-31",
|
| 2547 |
+
"query_id": "science.physics",
|
| 2548 |
+
"repositories_observed_on_last_page": 100,
|
| 2549 |
+
"sampled_first_page": true,
|
| 2550 |
+
"search_limit_reached": false,
|
| 2551 |
+
"status": "sampled",
|
| 2552 |
+
"total_count": 256,
|
| 2553 |
+
"year": 2011
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"coverage_gap": false,
|
| 2557 |
+
"coverage_gap_reason": null,
|
| 2558 |
+
"incomplete_results": false,
|
| 2559 |
+
"pages_scanned": 1,
|
| 2560 |
+
"query": "\"sensor time series\" in:description created:2011-01-01..2011-12-31",
|
| 2561 |
+
"query_id": "timeseries.sensor-data",
|
| 2562 |
+
"repositories_observed_on_last_page": 0,
|
| 2563 |
+
"sampled_first_page": true,
|
| 2564 |
+
"search_limit_reached": false,
|
| 2565 |
+
"status": "complete",
|
| 2566 |
+
"total_count": 0,
|
| 2567 |
+
"year": 2011
|
| 2568 |
+
},
|
| 2569 |
+
{
|
| 2570 |
+
"coverage_gap": false,
|
| 2571 |
+
"coverage_gap_reason": null,
|
| 2572 |
+
"incomplete_results": false,
|
| 2573 |
+
"pages_scanned": 1,
|
| 2574 |
+
"query": "\"explainable AI\" in:description created:2011-01-01..2011-12-31",
|
| 2575 |
+
"query_id": "trust.explainable-ai",
|
| 2576 |
+
"repositories_observed_on_last_page": 0,
|
| 2577 |
+
"sampled_first_page": true,
|
| 2578 |
+
"search_limit_reached": false,
|
| 2579 |
+
"status": "complete",
|
| 2580 |
+
"total_count": 0,
|
| 2581 |
+
"year": 2011
|
| 2582 |
+
},
|
| 2583 |
+
{
|
| 2584 |
+
"coverage_gap": false,
|
| 2585 |
+
"coverage_gap_reason": null,
|
| 2586 |
+
"incomplete_results": false,
|
| 2587 |
+
"pages_scanned": 1,
|
| 2588 |
+
"query": "\"open-vocabulary detection\" in:readme created:2011-01-01..2011-12-31",
|
| 2589 |
+
"query_id": "vision.open-vocabulary-detection",
|
| 2590 |
+
"repositories_observed_on_last_page": 0,
|
| 2591 |
+
"sampled_first_page": true,
|
| 2592 |
+
"search_limit_reached": false,
|
| 2593 |
+
"status": "complete",
|
| 2594 |
+
"total_count": 0,
|
| 2595 |
+
"year": 2011
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"coverage_gap": false,
|
| 2599 |
+
"coverage_gap_reason": null,
|
| 2600 |
+
"incomplete_results": false,
|
| 2601 |
+
"pages_scanned": 1,
|
| 2602 |
+
"query": "\"fraud detection\" \"machine learning\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2603 |
+
"query_id": "applied.fraud-detection",
|
| 2604 |
+
"repositories_observed_on_last_page": 0,
|
| 2605 |
+
"sampled_first_page": true,
|
| 2606 |
+
"search_limit_reached": false,
|
| 2607 |
+
"status": "complete",
|
| 2608 |
+
"total_count": 0,
|
| 2609 |
+
"year": 2011
|
| 2610 |
+
},
|
| 2611 |
+
{
|
| 2612 |
+
"coverage_gap": false,
|
| 2613 |
+
"coverage_gap_reason": null,
|
| 2614 |
+
"incomplete_results": false,
|
| 2615 |
+
"pages_scanned": 1,
|
| 2616 |
+
"query": "\"protein-protein interaction prediction\" in:readme created:2011-01-01..2011-12-31",
|
| 2617 |
+
"query_id": "bio.protein-interactions",
|
| 2618 |
+
"repositories_observed_on_last_page": 0,
|
| 2619 |
+
"sampled_first_page": true,
|
| 2620 |
+
"search_limit_reached": false,
|
| 2621 |
+
"status": "complete",
|
| 2622 |
+
"total_count": 0,
|
| 2623 |
+
"year": 2011
|
| 2624 |
+
},
|
| 2625 |
+
{
|
| 2626 |
+
"coverage_gap": false,
|
| 2627 |
+
"coverage_gap_reason": null,
|
| 2628 |
+
"incomplete_results": false,
|
| 2629 |
+
"pages_scanned": 1,
|
| 2630 |
+
"query": "\"mixed precision training\" in:description created:2011-01-01..2011-12-31",
|
| 2631 |
+
"query_id": "efficiency.mixed-precision-training",
|
| 2632 |
+
"repositories_observed_on_last_page": 0,
|
| 2633 |
+
"sampled_first_page": true,
|
| 2634 |
+
"search_limit_reached": false,
|
| 2635 |
+
"status": "complete",
|
| 2636 |
+
"total_count": 0,
|
| 2637 |
+
"year": 2011
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"coverage_gap": false,
|
| 2641 |
+
"coverage_gap_reason": null,
|
| 2642 |
+
"incomplete_results": false,
|
| 2643 |
+
"pages_scanned": 1,
|
| 2644 |
+
"query": "\"carbon-aware\" machine learning scheduling in:description,readme created:2011-01-01..2011-12-31",
|
| 2645 |
+
"query_id": "gap2026.green-ai-carbon-aware-scheduling",
|
| 2646 |
+
"repositories_observed_on_last_page": 0,
|
| 2647 |
+
"sampled_first_page": true,
|
| 2648 |
+
"search_limit_reached": false,
|
| 2649 |
+
"status": "complete",
|
| 2650 |
+
"total_count": 0,
|
| 2651 |
+
"year": 2011
|
| 2652 |
+
},
|
| 2653 |
+
{
|
| 2654 |
+
"coverage_gap": false,
|
| 2655 |
+
"coverage_gap_reason": null,
|
| 2656 |
+
"incomplete_results": false,
|
| 2657 |
+
"pages_scanned": 1,
|
| 2658 |
+
"query": "\"gradient boosting\" in:description created:2011-01-01..2011-12-31",
|
| 2659 |
+
"query_id": "general.gradient-boosting",
|
| 2660 |
+
"repositories_observed_on_last_page": 0,
|
| 2661 |
+
"sampled_first_page": true,
|
| 2662 |
+
"search_limit_reached": false,
|
| 2663 |
+
"status": "complete",
|
| 2664 |
+
"total_count": 0,
|
| 2665 |
+
"year": 2011
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"coverage_gap": false,
|
| 2669 |
+
"coverage_gap_reason": null,
|
| 2670 |
+
"incomplete_results": false,
|
| 2671 |
+
"pages_scanned": 1,
|
| 2672 |
+
"query": "\"ocean remote sensing\" in:description,readme created:2011-01-01..2011-12-31",
|
| 2673 |
+
"query_id": "geo.ocean-remote-sensing",
|
| 2674 |
+
"repositories_observed_on_last_page": 0,
|
| 2675 |
+
"sampled_first_page": true,
|
| 2676 |
+
"search_limit_reached": false,
|
| 2677 |
+
"status": "complete",
|
| 2678 |
+
"total_count": 0,
|
| 2679 |
+
"year": 2011
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"coverage_gap": false,
|
| 2683 |
+
"coverage_gap_reason": null,
|
| 2684 |
+
"incomplete_results": false,
|
| 2685 |
+
"pages_scanned": 1,
|
| 2686 |
+
"query": "\"mesh graph neural network\" in:description created:2011-01-01..2011-12-31",
|
| 2687 |
+
"query_id": "graph.mesh-graph-learning",
|
| 2688 |
+
"repositories_observed_on_last_page": 0,
|
| 2689 |
+
"sampled_first_page": true,
|
| 2690 |
+
"search_limit_reached": false,
|
| 2691 |
+
"status": "complete",
|
| 2692 |
+
"total_count": 0,
|
| 2693 |
+
"year": 2011
|
| 2694 |
+
},
|
| 2695 |
+
{
|
| 2696 |
+
"coverage_gap": false,
|
| 2697 |
+
"coverage_gap_reason": null,
|
| 2698 |
+
"incomplete_results": false,
|
| 2699 |
+
"pages_scanned": 1,
|
| 2700 |
+
"query": "\"direct preference optimization\" in:readme created:2011-01-01..2011-12-31",
|
| 2701 |
+
"query_id": "llm.preference-optimization",
|
| 2702 |
+
"repositories_observed_on_last_page": 0,
|
| 2703 |
+
"sampled_first_page": true,
|
| 2704 |
+
"search_limit_reached": false,
|
| 2705 |
+
"status": "complete",
|
| 2706 |
+
"total_count": 0,
|
| 2707 |
+
"year": 2011
|
| 2708 |
+
},
|
| 2709 |
+
{
|
| 2710 |
+
"coverage_gap": false,
|
| 2711 |
+
"coverage_gap_reason": null,
|
| 2712 |
+
"incomplete_results": false,
|
| 2713 |
+
"pages_scanned": 1,
|
| 2714 |
+
"query": "\"medical language model\" in:description created:2011-01-01..2011-12-31",
|
| 2715 |
+
"query_id": "medical.medical-language-model",
|
| 2716 |
+
"repositories_observed_on_last_page": 0,
|
| 2717 |
+
"sampled_first_page": true,
|
| 2718 |
+
"search_limit_reached": false,
|
| 2719 |
+
"status": "complete",
|
| 2720 |
+
"total_count": 0,
|
| 2721 |
+
"year": 2011
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"coverage_gap": false,
|
| 2725 |
+
"coverage_gap_reason": null,
|
| 2726 |
+
"incomplete_results": false,
|
| 2727 |
+
"pages_scanned": 1,
|
| 2728 |
+
"query": "\"text-to-image\" in:description created:2011-01-01..2011-12-31",
|
| 2729 |
+
"query_id": "multimodal.text-to-image",
|
| 2730 |
+
"repositories_observed_on_last_page": 0,
|
| 2731 |
+
"sampled_first_page": true,
|
| 2732 |
+
"search_limit_reached": false,
|
| 2733 |
+
"status": "complete",
|
| 2734 |
+
"total_count": 0,
|
| 2735 |
+
"year": 2011
|
| 2736 |
+
},
|
| 2737 |
+
{
|
| 2738 |
+
"coverage_gap": false,
|
| 2739 |
+
"coverage_gap_reason": null,
|
| 2740 |
+
"incomplete_results": false,
|
| 2741 |
+
"pages_scanned": 1,
|
| 2742 |
+
"query": "\"text generation\" in:readme created:2011-01-01..2011-12-31",
|
| 2743 |
+
"query_id": "nlp.text-generation",
|
| 2744 |
+
"repositories_observed_on_last_page": 11,
|
| 2745 |
+
"sampled_first_page": true,
|
| 2746 |
+
"search_limit_reached": false,
|
| 2747 |
+
"status": "complete",
|
| 2748 |
+
"total_count": 11,
|
| 2749 |
+
"year": 2011
|
| 2750 |
+
},
|
| 2751 |
+
{
|
| 2752 |
+
"coverage_gap": false,
|
| 2753 |
+
"coverage_gap_reason": null,
|
| 2754 |
+
"incomplete_results": false,
|
| 2755 |
+
"pages_scanned": 1,
|
| 2756 |
+
"query": "\"deep learning\" in:name,description,readme created:2011-01-01..2011-12-31",
|
| 2757 |
+
"query_id": "recall.name.deep-learning",
|
| 2758 |
+
"repositories_observed_on_last_page": 15,
|
| 2759 |
+
"sampled_first_page": true,
|
| 2760 |
+
"search_limit_reached": false,
|
| 2761 |
+
"status": "complete",
|
| 2762 |
+
"total_count": 15,
|
| 2763 |
+
"year": 2011
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"coverage_gap": false,
|
| 2767 |
+
"coverage_gap_reason": null,
|
| 2768 |
+
"incomplete_results": false,
|
| 2769 |
+
"pages_scanned": 1,
|
| 2770 |
+
"query": "\"policy gradient\" in:description created:2011-01-01..2011-12-31",
|
| 2771 |
+
"query_id": "rl.policy-gradient",
|
| 2772 |
+
"repositories_observed_on_last_page": 0,
|
| 2773 |
+
"sampled_first_page": true,
|
| 2774 |
+
"search_limit_reached": false,
|
| 2775 |
+
"status": "complete",
|
| 2776 |
+
"total_count": 0,
|
| 2777 |
+
"year": 2011
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"coverage_gap": false,
|
| 2781 |
+
"coverage_gap_reason": null,
|
| 2782 |
+
"incomplete_results": false,
|
| 2783 |
+
"pages_scanned": 1,
|
| 2784 |
+
"query": "topic:robotics created:2011-01-01..2011-12-31",
|
| 2785 |
+
"query_id": "robotics.robotics-topic",
|
| 2786 |
+
"repositories_observed_on_last_page": 8,
|
| 2787 |
+
"sampled_first_page": true,
|
| 2788 |
+
"search_limit_reached": false,
|
| 2789 |
+
"status": "complete",
|
| 2790 |
+
"total_count": 8,
|
| 2791 |
+
"year": 2011
|
| 2792 |
+
},
|
| 2793 |
+
{
|
| 2794 |
+
"coverage_gap": false,
|
| 2795 |
+
"coverage_gap_reason": null,
|
| 2796 |
+
"incomplete_results": false,
|
| 2797 |
+
"pages_scanned": 1,
|
| 2798 |
+
"query": "\"physics-informed neural network\" in:description created:2011-01-01..2011-12-31",
|
| 2799 |
+
"query_id": "science.physics-informed-neural-networks",
|
| 2800 |
+
"repositories_observed_on_last_page": 0,
|
| 2801 |
+
"sampled_first_page": true,
|
| 2802 |
+
"search_limit_reached": false,
|
| 2803 |
+
"status": "complete",
|
| 2804 |
+
"total_count": 0,
|
| 2805 |
+
"year": 2011
|
| 2806 |
+
}
|
| 2807 |
+
],
|
| 2808 |
+
"requests_used": 200,
|
| 2809 |
+
"run_id": "20261110T183646000000Z-aa8362d6",
|
| 2810 |
+
"start_year": 2008,
|
| 2811 |
+
"started_at": "2026-11-10T18:36:46Z"
|
| 2812 |
+
}
|
data/observations/2026/11/10/20261110T183646000000Z-aa8362d6.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
state/historical-sample.json
CHANGED
|
@@ -2570,7 +2570,8 @@
|
|
| 2570 |
2015,
|
| 2571 |
2014,
|
| 2572 |
2013,
|
| 2573 |
-
2012
|
|
|
|
| 2574 |
]
|
| 2575 |
},
|
| 2576 |
"applied.customer-lifetime-value": {
|
|
@@ -2590,7 +2591,8 @@
|
|
| 2590 |
2015,
|
| 2591 |
2014,
|
| 2592 |
2013,
|
| 2593 |
-
2012
|
|
|
|
| 2594 |
]
|
| 2595 |
},
|
| 2596 |
"applied.customer-segmentation": {
|
|
@@ -2610,7 +2612,8 @@
|
|
| 2610 |
2015,
|
| 2611 |
2014,
|
| 2612 |
2013,
|
| 2613 |
-
2012
|
|
|
|
| 2614 |
]
|
| 2615 |
},
|
| 2616 |
"applied.cybersecurity-ml": {
|
|
@@ -2630,7 +2633,8 @@
|
|
| 2630 |
2015,
|
| 2631 |
2014,
|
| 2632 |
2013,
|
| 2633 |
-
2012
|
|
|
|
| 2634 |
]
|
| 2635 |
},
|
| 2636 |
"applied.demand-forecasting": {
|
|
@@ -2650,7 +2654,8 @@
|
|
| 2650 |
2015,
|
| 2651 |
2014,
|
| 2652 |
2013,
|
| 2653 |
-
2012
|
|
|
|
| 2654 |
]
|
| 2655 |
},
|
| 2656 |
"applied.dynamic-pricing": {
|
|
@@ -2670,7 +2675,8 @@
|
|
| 2670 |
2015,
|
| 2671 |
2014,
|
| 2672 |
2013,
|
| 2673 |
-
2012
|
|
|
|
| 2674 |
]
|
| 2675 |
},
|
| 2676 |
"applied.ecological-forecasting": {
|
|
@@ -2690,7 +2696,8 @@
|
|
| 2690 |
2015,
|
| 2691 |
2014,
|
| 2692 |
2013,
|
| 2693 |
-
2012
|
|
|
|
| 2694 |
]
|
| 2695 |
},
|
| 2696 |
"applied.educational-data-mining": {
|
|
@@ -2710,7 +2717,8 @@
|
|
| 2710 |
2015,
|
| 2711 |
2014,
|
| 2712 |
2013,
|
| 2713 |
-
2012
|
|
|
|
| 2714 |
]
|
| 2715 |
},
|
| 2716 |
"applied.energy-load-forecasting": {
|
|
@@ -2730,7 +2738,8 @@
|
|
| 2730 |
2015,
|
| 2731 |
2014,
|
| 2732 |
2013,
|
| 2733 |
-
2012
|
|
|
|
| 2734 |
]
|
| 2735 |
},
|
| 2736 |
"applied.fraud-detection": {
|
|
@@ -2750,7 +2759,8 @@
|
|
| 2750 |
2015,
|
| 2751 |
2014,
|
| 2752 |
2013,
|
| 2753 |
-
2012
|
|
|
|
| 2754 |
]
|
| 2755 |
},
|
| 2756 |
"applied.industrial-defect-detection": {
|
|
@@ -3864,7 +3874,8 @@
|
|
| 3864 |
2015,
|
| 3865 |
2014,
|
| 3866 |
2013,
|
| 3867 |
-
2012
|
|
|
|
| 3868 |
]
|
| 3869 |
},
|
| 3870 |
"bio.metagenomics": {
|
|
@@ -3884,7 +3895,8 @@
|
|
| 3884 |
2015,
|
| 3885 |
2014,
|
| 3886 |
2013,
|
| 3887 |
-
2012
|
|
|
|
| 3888 |
]
|
| 3889 |
},
|
| 3890 |
"bio.microbiome": {
|
|
@@ -3904,7 +3916,8 @@
|
|
| 3904 |
2015,
|
| 3905 |
2014,
|
| 3906 |
2013,
|
| 3907 |
-
2012
|
|
|
|
| 3908 |
]
|
| 3909 |
},
|
| 3910 |
"bio.microscopy-cell-analysis": {
|
|
@@ -3924,7 +3937,8 @@
|
|
| 3924 |
2015,
|
| 3925 |
2014,
|
| 3926 |
2013,
|
| 3927 |
-
2012
|
|
|
|
| 3928 |
]
|
| 3929 |
},
|
| 3930 |
"bio.molecular-dynamics": {
|
|
@@ -3944,7 +3958,8 @@
|
|
| 3944 |
2015,
|
| 3945 |
2014,
|
| 3946 |
2013,
|
| 3947 |
-
2012
|
|
|
|
| 3948 |
]
|
| 3949 |
},
|
| 3950 |
"bio.molecular-force-fields": {
|
|
@@ -3964,7 +3979,8 @@
|
|
| 3964 |
2015,
|
| 3965 |
2014,
|
| 3966 |
2013,
|
| 3967 |
-
2012
|
|
|
|
| 3968 |
]
|
| 3969 |
},
|
| 3970 |
"bio.phylogenetics": {
|
|
@@ -3984,7 +4000,8 @@
|
|
| 3984 |
2015,
|
| 3985 |
2014,
|
| 3986 |
2013,
|
| 3987 |
-
2012
|
|
|
|
| 3988 |
]
|
| 3989 |
},
|
| 3990 |
"bio.protein-design": {
|
|
@@ -4004,7 +4021,8 @@
|
|
| 4004 |
2015,
|
| 4005 |
2014,
|
| 4006 |
2013,
|
| 4007 |
-
2012
|
|
|
|
| 4008 |
]
|
| 4009 |
},
|
| 4010 |
"bio.protein-folding": {
|
|
@@ -4024,7 +4042,8 @@
|
|
| 4024 |
2015,
|
| 4025 |
2014,
|
| 4026 |
2013,
|
| 4027 |
-
2012
|
|
|
|
| 4028 |
]
|
| 4029 |
},
|
| 4030 |
"bio.protein-interactions": {
|
|
@@ -4044,7 +4063,8 @@
|
|
| 4044 |
2015,
|
| 4045 |
2014,
|
| 4046 |
2013,
|
| 4047 |
-
2012
|
|
|
|
| 4048 |
]
|
| 4049 |
},
|
| 4050 |
"bio.protein-structure": {
|
|
@@ -4811,7 +4831,8 @@
|
|
| 4811 |
2015,
|
| 4812 |
2014,
|
| 4813 |
2013,
|
| 4814 |
-
2012
|
|
|
|
| 4815 |
]
|
| 4816 |
},
|
| 4817 |
"efficiency.gpu-kernels": {
|
|
@@ -4831,7 +4852,8 @@
|
|
| 4831 |
2015,
|
| 4832 |
2014,
|
| 4833 |
2013,
|
| 4834 |
-
2012
|
|
|
|
| 4835 |
]
|
| 4836 |
},
|
| 4837 |
"efficiency.gradient-optimization": {
|
|
@@ -4851,7 +4873,8 @@
|
|
| 4851 |
2015,
|
| 4852 |
2014,
|
| 4853 |
2013,
|
| 4854 |
-
2012
|
|
|
|
| 4855 |
]
|
| 4856 |
},
|
| 4857 |
"efficiency.hyperparameter-optimization": {
|
|
@@ -4871,7 +4894,8 @@
|
|
| 4871 |
2015,
|
| 4872 |
2014,
|
| 4873 |
2013,
|
| 4874 |
-
2012
|
|
|
|
| 4875 |
]
|
| 4876 |
},
|
| 4877 |
"efficiency.inference-systems": {
|
|
@@ -4891,7 +4915,8 @@
|
|
| 4891 |
2015,
|
| 4892 |
2014,
|
| 4893 |
2013,
|
| 4894 |
-
2012
|
|
|
|
| 4895 |
]
|
| 4896 |
},
|
| 4897 |
"efficiency.knowledge-distillation": {
|
|
@@ -4911,7 +4936,8 @@
|
|
| 4911 |
2015,
|
| 4912 |
2014,
|
| 4913 |
2013,
|
| 4914 |
-
2012
|
|
|
|
| 4915 |
]
|
| 4916 |
},
|
| 4917 |
"efficiency.kv-cache": {
|
|
@@ -4931,7 +4957,8 @@
|
|
| 4931 |
2015,
|
| 4932 |
2014,
|
| 4933 |
2013,
|
| 4934 |
-
2012
|
|
|
|
| 4935 |
]
|
| 4936 |
},
|
| 4937 |
"efficiency.lora": {
|
|
@@ -4951,7 +4978,8 @@
|
|
| 4951 |
2015,
|
| 4952 |
2014,
|
| 4953 |
2013,
|
| 4954 |
-
2012
|
|
|
|
| 4955 |
]
|
| 4956 |
},
|
| 4957 |
"efficiency.low-rank-factorization": {
|
|
@@ -4971,7 +4999,8 @@
|
|
| 4971 |
2015,
|
| 4972 |
2014,
|
| 4973 |
2013,
|
| 4974 |
-
2012
|
|
|
|
| 4975 |
]
|
| 4976 |
},
|
| 4977 |
"efficiency.mixed-precision-training": {
|
|
@@ -4991,7 +5020,8 @@
|
|
| 4991 |
2015,
|
| 4992 |
2014,
|
| 4993 |
2013,
|
| 4994 |
-
2012
|
|
|
|
| 4995 |
]
|
| 4996 |
},
|
| 4997 |
"efficiency.mixture-of-experts": {
|
|
@@ -5378,7 +5408,8 @@
|
|
| 5378 |
2015,
|
| 5379 |
2014,
|
| 5380 |
2013,
|
| 5381 |
-
2012
|
|
|
|
| 5382 |
]
|
| 5383 |
},
|
| 5384 |
"gap2026.econometrics-double-ml": {
|
|
@@ -5398,7 +5429,8 @@
|
|
| 5398 |
2015,
|
| 5399 |
2014,
|
| 5400 |
2013,
|
| 5401 |
-
2012
|
|
|
|
| 5402 |
]
|
| 5403 |
},
|
| 5404 |
"gap2026.econometrics-heterogeneous-effects": {
|
|
@@ -5418,7 +5450,8 @@
|
|
| 5418 |
2015,
|
| 5419 |
2014,
|
| 5420 |
2013,
|
| 5421 |
-
2012
|
|
|
|
| 5422 |
]
|
| 5423 |
},
|
| 5424 |
"gap2026.econometrics-policy-learning": {
|
|
@@ -5438,7 +5471,8 @@
|
|
| 5438 |
2015,
|
| 5439 |
2014,
|
| 5440 |
2013,
|
| 5441 |
-
2012
|
|
|
|
| 5442 |
]
|
| 5443 |
},
|
| 5444 |
"gap2026.forecasting-count-data": {
|
|
@@ -5458,7 +5492,8 @@
|
|
| 5458 |
2015,
|
| 5459 |
2014,
|
| 5460 |
2013,
|
| 5461 |
-
2012
|
|
|
|
| 5462 |
]
|
| 5463 |
},
|
| 5464 |
"gap2026.forecasting-hierarchical": {
|
|
@@ -5478,7 +5513,8 @@
|
|
| 5478 |
2015,
|
| 5479 |
2014,
|
| 5480 |
2013,
|
| 5481 |
-
2012
|
|
|
|
| 5482 |
]
|
| 5483 |
},
|
| 5484 |
"gap2026.forecasting-intermittent-demand": {
|
|
@@ -5498,7 +5534,8 @@
|
|
| 5498 |
2015,
|
| 5499 |
2014,
|
| 5500 |
2013,
|
| 5501 |
-
2012
|
|
|
|
| 5502 |
]
|
| 5503 |
},
|
| 5504 |
"gap2026.forecasting-quantile": {
|
|
@@ -5518,7 +5555,8 @@
|
|
| 5518 |
2015,
|
| 5519 |
2014,
|
| 5520 |
2013,
|
| 5521 |
-
2012
|
|
|
|
| 5522 |
]
|
| 5523 |
},
|
| 5524 |
"gap2026.green-ai-carbon": {
|
|
@@ -5538,7 +5576,8 @@
|
|
| 5538 |
2015,
|
| 5539 |
2014,
|
| 5540 |
2013,
|
| 5541 |
-
2012
|
|
|
|
| 5542 |
]
|
| 5543 |
},
|
| 5544 |
"gap2026.green-ai-carbon-aware-scheduling": {
|
|
@@ -5558,7 +5597,8 @@
|
|
| 5558 |
2015,
|
| 5559 |
2014,
|
| 5560 |
2013,
|
| 5561 |
-
2012
|
|
|
|
| 5562 |
]
|
| 5563 |
},
|
| 5564 |
"gap2026.green-ai-efficient-inference": {
|
|
@@ -5965,7 +6005,8 @@
|
|
| 5965 |
2015,
|
| 5966 |
2014,
|
| 5967 |
2013,
|
| 5968 |
-
2012
|
|
|
|
| 5969 |
]
|
| 5970 |
},
|
| 5971 |
"general.contrastive-learning": {
|
|
@@ -5985,7 +6026,8 @@
|
|
| 5985 |
2015,
|
| 5986 |
2014,
|
| 5987 |
2013,
|
| 5988 |
-
2012
|
|
|
|
| 5989 |
]
|
| 5990 |
},
|
| 5991 |
"general.decision-trees": {
|
|
@@ -6005,7 +6047,8 @@
|
|
| 6005 |
2015,
|
| 6006 |
2014,
|
| 6007 |
2013,
|
| 6008 |
-
2012
|
|
|
|
| 6009 |
]
|
| 6010 |
},
|
| 6011 |
"general.deep-learning-description": {
|
|
@@ -6025,7 +6068,8 @@
|
|
| 6025 |
2015,
|
| 6026 |
2014,
|
| 6027 |
2013,
|
| 6028 |
-
2012
|
|
|
|
| 6029 |
]
|
| 6030 |
},
|
| 6031 |
"general.deep-learning-readme": {
|
|
@@ -6045,7 +6089,8 @@
|
|
| 6045 |
2015,
|
| 6046 |
2014,
|
| 6047 |
2013,
|
| 6048 |
-
2012
|
|
|
|
| 6049 |
]
|
| 6050 |
},
|
| 6051 |
"general.dimensionality-reduction": {
|
|
@@ -6065,7 +6110,8 @@
|
|
| 6065 |
2015,
|
| 6066 |
2014,
|
| 6067 |
2013,
|
| 6068 |
-
2012
|
|
|
|
| 6069 |
]
|
| 6070 |
},
|
| 6071 |
"general.domain-adaptation": {
|
|
@@ -6085,7 +6131,8 @@
|
|
| 6085 |
2015,
|
| 6086 |
2014,
|
| 6087 |
2013,
|
| 6088 |
-
2012
|
|
|
|
| 6089 |
]
|
| 6090 |
},
|
| 6091 |
"general.gaussian-mixture-models": {
|
|
@@ -6105,7 +6152,8 @@
|
|
| 6105 |
2015,
|
| 6106 |
2014,
|
| 6107 |
2013,
|
| 6108 |
-
2012
|
|
|
|
| 6109 |
]
|
| 6110 |
},
|
| 6111 |
"general.gaussian-process": {
|
|
@@ -6125,7 +6173,8 @@
|
|
| 6125 |
2015,
|
| 6126 |
2014,
|
| 6127 |
2013,
|
| 6128 |
-
2012
|
|
|
|
| 6129 |
]
|
| 6130 |
},
|
| 6131 |
"general.gradient-boosting": {
|
|
@@ -6145,7 +6194,8 @@
|
|
| 6145 |
2015,
|
| 6146 |
2014,
|
| 6147 |
2013,
|
| 6148 |
-
2012
|
|
|
|
| 6149 |
]
|
| 6150 |
},
|
| 6151 |
"general.hidden-markov-models": {
|
|
@@ -6852,7 +6902,8 @@
|
|
| 6852 |
2015,
|
| 6853 |
2014,
|
| 6854 |
2013,
|
| 6855 |
-
2012
|
|
|
|
| 6856 |
]
|
| 6857 |
},
|
| 6858 |
"geo.geospatial-foundation-models": {
|
|
@@ -6872,7 +6923,8 @@
|
|
| 6872 |
2015,
|
| 6873 |
2014,
|
| 6874 |
2013,
|
| 6875 |
-
2012
|
|
|
|
| 6876 |
]
|
| 6877 |
},
|
| 6878 |
"geo.geospatial-knowledge-graph": {
|
|
@@ -6892,7 +6944,8 @@
|
|
| 6892 |
2015,
|
| 6893 |
2014,
|
| 6894 |
2013,
|
| 6895 |
-
2012
|
|
|
|
| 6896 |
]
|
| 6897 |
},
|
| 6898 |
"geo.hydrology": {
|
|
@@ -6912,7 +6965,8 @@
|
|
| 6912 |
2015,
|
| 6913 |
2014,
|
| 6914 |
2013,
|
| 6915 |
-
2012
|
|
|
|
| 6916 |
]
|
| 6917 |
},
|
| 6918 |
"geo.land-cover": {
|
|
@@ -6932,7 +6986,8 @@
|
|
| 6932 |
2015,
|
| 6933 |
2014,
|
| 6934 |
2013,
|
| 6935 |
-
2012
|
|
|
|
| 6936 |
]
|
| 6937 |
},
|
| 6938 |
"geo.land-use": {
|
|
@@ -6952,7 +7007,8 @@
|
|
| 6952 |
2015,
|
| 6953 |
2014,
|
| 6954 |
2013,
|
| 6955 |
-
2012
|
|
|
|
| 6956 |
]
|
| 6957 |
},
|
| 6958 |
"geo.lidar": {
|
|
@@ -6972,7 +7028,8 @@
|
|
| 6972 |
2015,
|
| 6973 |
2014,
|
| 6974 |
2013,
|
| 6975 |
-
2012
|
|
|
|
| 6976 |
]
|
| 6977 |
},
|
| 6978 |
"geo.mobility-modeling": {
|
|
@@ -6992,7 +7049,8 @@
|
|
| 6992 |
2015,
|
| 6993 |
2014,
|
| 6994 |
2013,
|
| 6995 |
-
2012
|
|
|
|
| 6996 |
]
|
| 6997 |
},
|
| 6998 |
"geo.object-detection": {
|
|
@@ -7012,7 +7070,8 @@
|
|
| 7012 |
2015,
|
| 7013 |
2014,
|
| 7014 |
2013,
|
| 7015 |
-
2012
|
|
|
|
| 7016 |
]
|
| 7017 |
},
|
| 7018 |
"geo.ocean-remote-sensing": {
|
|
@@ -7032,7 +7091,8 @@
|
|
| 7032 |
2015,
|
| 7033 |
2014,
|
| 7034 |
2013,
|
| 7035 |
-
2012
|
|
|
|
| 7036 |
]
|
| 7037 |
},
|
| 7038 |
"geo.precipitation-forecasting": {
|
|
@@ -7399,7 +7459,8 @@
|
|
| 7399 |
2015,
|
| 7400 |
2014,
|
| 7401 |
2013,
|
| 7402 |
-
2012
|
|
|
|
| 7403 |
]
|
| 7404 |
},
|
| 7405 |
"graph.graph-foundation-model": {
|
|
@@ -7419,7 +7480,8 @@
|
|
| 7419 |
2015,
|
| 7420 |
2014,
|
| 7421 |
2013,
|
| 7422 |
-
2012
|
|
|
|
| 7423 |
]
|
| 7424 |
},
|
| 7425 |
"graph.graph-generation": {
|
|
@@ -7439,7 +7501,8 @@
|
|
| 7439 |
2015,
|
| 7440 |
2014,
|
| 7441 |
2013,
|
| 7442 |
-
2012
|
|
|
|
| 7443 |
]
|
| 7444 |
},
|
| 7445 |
"graph.graph-transformer": {
|
|
@@ -7459,7 +7522,8 @@
|
|
| 7459 |
2015,
|
| 7460 |
2014,
|
| 7461 |
2013,
|
| 7462 |
-
2012
|
|
|
|
| 7463 |
]
|
| 7464 |
},
|
| 7465 |
"graph.hypergraph-neural-network": {
|
|
@@ -7479,7 +7543,8 @@
|
|
| 7479 |
2015,
|
| 7480 |
2014,
|
| 7481 |
2013,
|
| 7482 |
-
2012
|
|
|
|
| 7483 |
]
|
| 7484 |
},
|
| 7485 |
"graph.knowledge-graph-embedding": {
|
|
@@ -7499,7 +7564,8 @@
|
|
| 7499 |
2015,
|
| 7500 |
2014,
|
| 7501 |
2013,
|
| 7502 |
-
2012
|
|
|
|
| 7503 |
]
|
| 7504 |
},
|
| 7505 |
"graph.knowledge-graphs": {
|
|
@@ -7519,7 +7585,8 @@
|
|
| 7519 |
2015,
|
| 7520 |
2014,
|
| 7521 |
2013,
|
| 7522 |
-
2012
|
|
|
|
| 7523 |
]
|
| 7524 |
},
|
| 7525 |
"graph.link-prediction": {
|
|
@@ -7539,7 +7606,8 @@
|
|
| 7539 |
2015,
|
| 7540 |
2014,
|
| 7541 |
2013,
|
| 7542 |
-
2012
|
|
|
|
| 7543 |
]
|
| 7544 |
},
|
| 7545 |
"graph.manifold-learning": {
|
|
@@ -7559,7 +7627,8 @@
|
|
| 7559 |
2015,
|
| 7560 |
2014,
|
| 7561 |
2013,
|
| 7562 |
-
2012
|
|
|
|
| 7563 |
]
|
| 7564 |
},
|
| 7565 |
"graph.mesh-graph-learning": {
|
|
@@ -7579,7 +7648,8 @@
|
|
| 7579 |
2015,
|
| 7580 |
2014,
|
| 7581 |
2013,
|
| 7582 |
-
2012
|
|
|
|
| 7583 |
]
|
| 7584 |
},
|
| 7585 |
"graph.molecular-graphs": {
|
|
@@ -8030,7 +8100,8 @@
|
|
| 8030 |
2015,
|
| 8031 |
2014,
|
| 8032 |
2013,
|
| 8033 |
-
2012
|
|
|
|
| 8034 |
]
|
| 8035 |
},
|
| 8036 |
"llm.generative-ai": {
|
|
@@ -8050,7 +8121,8 @@
|
|
| 8050 |
2015,
|
| 8051 |
2014,
|
| 8052 |
2013,
|
| 8053 |
-
2012
|
|
|
|
| 8054 |
]
|
| 8055 |
},
|
| 8056 |
"llm.instruction-tuning": {
|
|
@@ -8070,7 +8142,8 @@
|
|
| 8070 |
2015,
|
| 8071 |
2014,
|
| 8072 |
2013,
|
| 8073 |
-
2012
|
|
|
|
| 8074 |
]
|
| 8075 |
},
|
| 8076 |
"llm.language-model": {
|
|
@@ -8090,7 +8163,8 @@
|
|
| 8090 |
2015,
|
| 8091 |
2014,
|
| 8092 |
2013,
|
| 8093 |
-
2012
|
|
|
|
| 8094 |
]
|
| 8095 |
},
|
| 8096 |
"llm.language-models": {
|
|
@@ -8110,7 +8184,8 @@
|
|
| 8110 |
2015,
|
| 8111 |
2014,
|
| 8112 |
2013,
|
| 8113 |
-
2012
|
|
|
|
| 8114 |
]
|
| 8115 |
},
|
| 8116 |
"llm.large-language-model": {
|
|
@@ -8130,7 +8205,8 @@
|
|
| 8130 |
2015,
|
| 8131 |
2014,
|
| 8132 |
2013,
|
| 8133 |
-
2012
|
|
|
|
| 8134 |
]
|
| 8135 |
},
|
| 8136 |
"llm.long-context": {
|
|
@@ -8150,7 +8226,8 @@
|
|
| 8150 |
2015,
|
| 8151 |
2014,
|
| 8152 |
2013,
|
| 8153 |
-
2012
|
|
|
|
| 8154 |
]
|
| 8155 |
},
|
| 8156 |
"llm.multimodal": {
|
|
@@ -8170,7 +8247,8 @@
|
|
| 8170 |
2015,
|
| 8171 |
2014,
|
| 8172 |
2013,
|
| 8173 |
-
2012
|
|
|
|
| 8174 |
]
|
| 8175 |
},
|
| 8176 |
"llm.parameter-efficient-finetuning": {
|
|
@@ -8190,7 +8268,8 @@
|
|
| 8190 |
2015,
|
| 8191 |
2014,
|
| 8192 |
2013,
|
| 8193 |
-
2012
|
|
|
|
| 8194 |
]
|
| 8195 |
},
|
| 8196 |
"llm.preference-optimization": {
|
|
@@ -8210,7 +8289,8 @@
|
|
| 8210 |
2015,
|
| 8211 |
2014,
|
| 8212 |
2013,
|
| 8213 |
-
2012
|
|
|
|
| 8214 |
]
|
| 8215 |
},
|
| 8216 |
"llm.quantization": {
|
|
@@ -8644,7 +8724,8 @@
|
|
| 8644 |
2015,
|
| 8645 |
2014,
|
| 8646 |
2013,
|
| 8647 |
-
2012
|
|
|
|
| 8648 |
]
|
| 8649 |
},
|
| 8650 |
"medical.eeg": {
|
|
@@ -8664,7 +8745,8 @@
|
|
| 8664 |
2015,
|
| 8665 |
2014,
|
| 8666 |
2013,
|
| 8667 |
-
2012
|
|
|
|
| 8668 |
]
|
| 8669 |
},
|
| 8670 |
"medical.ehr": {
|
|
@@ -8684,7 +8766,8 @@
|
|
| 8684 |
2015,
|
| 8685 |
2014,
|
| 8686 |
2013,
|
| 8687 |
-
2012
|
|
|
|
| 8688 |
]
|
| 8689 |
},
|
| 8690 |
"medical.genomics": {
|
|
@@ -8704,7 +8787,8 @@
|
|
| 8704 |
2015,
|
| 8705 |
2014,
|
| 8706 |
2013,
|
| 8707 |
-
2012
|
|
|
|
| 8708 |
]
|
| 8709 |
},
|
| 8710 |
"medical.histopathology": {
|
|
@@ -8724,7 +8808,8 @@
|
|
| 8724 |
2015,
|
| 8725 |
2014,
|
| 8726 |
2013,
|
| 8727 |
-
2012
|
|
|
|
| 8728 |
]
|
| 8729 |
},
|
| 8730 |
"medical.medical-image-reconstruction": {
|
|
@@ -8744,7 +8829,8 @@
|
|
| 8744 |
2015,
|
| 8745 |
2014,
|
| 8746 |
2013,
|
| 8747 |
-
2012
|
|
|
|
| 8748 |
]
|
| 8749 |
},
|
| 8750 |
"medical.medical-image-registration": {
|
|
@@ -8764,7 +8850,8 @@
|
|
| 8764 |
2015,
|
| 8765 |
2014,
|
| 8766 |
2013,
|
| 8767 |
-
2012
|
|
|
|
| 8768 |
]
|
| 8769 |
},
|
| 8770 |
"medical.medical-image-segmentation": {
|
|
@@ -8784,7 +8871,8 @@
|
|
| 8784 |
2015,
|
| 8785 |
2014,
|
| 8786 |
2013,
|
| 8787 |
-
2012
|
|
|
|
| 8788 |
]
|
| 8789 |
},
|
| 8790 |
"medical.medical-imaging": {
|
|
@@ -8804,7 +8892,8 @@
|
|
| 8804 |
2015,
|
| 8805 |
2014,
|
| 8806 |
2013,
|
| 8807 |
-
2012
|
|
|
|
| 8808 |
]
|
| 8809 |
},
|
| 8810 |
"medical.medical-language-model": {
|
|
@@ -8824,7 +8913,8 @@
|
|
| 8824 |
2015,
|
| 8825 |
2014,
|
| 8826 |
2013,
|
| 8827 |
-
2012
|
|
|
|
| 8828 |
]
|
| 8829 |
},
|
| 8830 |
"medical.medical-robotics": {
|
|
@@ -9191,7 +9281,8 @@
|
|
| 9191 |
2015,
|
| 9192 |
2014,
|
| 9193 |
2013,
|
| 9194 |
-
2012
|
|
|
|
| 9195 |
]
|
| 9196 |
},
|
| 9197 |
"multimodal.image-to-3d": {
|
|
@@ -9211,7 +9302,8 @@
|
|
| 9211 |
2015,
|
| 9212 |
2014,
|
| 9213 |
2013,
|
| 9214 |
-
2012
|
|
|
|
| 9215 |
]
|
| 9216 |
},
|
| 9217 |
"multimodal.image-to-video": {
|
|
@@ -9231,7 +9323,8 @@
|
|
| 9231 |
2015,
|
| 9232 |
2014,
|
| 9233 |
2013,
|
| 9234 |
-
2012
|
|
|
|
| 9235 |
]
|
| 9236 |
},
|
| 9237 |
"multimodal.motion-generation": {
|
|
@@ -9251,7 +9344,8 @@
|
|
| 9251 |
2015,
|
| 9252 |
2014,
|
| 9253 |
2013,
|
| 9254 |
-
2012
|
|
|
|
| 9255 |
]
|
| 9256 |
},
|
| 9257 |
"multimodal.nerf": {
|
|
@@ -9271,7 +9365,8 @@
|
|
| 9271 |
2015,
|
| 9272 |
2014,
|
| 9273 |
2013,
|
| 9274 |
-
2012
|
|
|
|
| 9275 |
]
|
| 9276 |
},
|
| 9277 |
"multimodal.neural-rendering": {
|
|
@@ -9291,7 +9386,8 @@
|
|
| 9291 |
2015,
|
| 9292 |
2014,
|
| 9293 |
2013,
|
| 9294 |
-
2012
|
|
|
|
| 9295 |
]
|
| 9296 |
},
|
| 9297 |
"multimodal.point-cloud": {
|
|
@@ -9311,7 +9407,8 @@
|
|
| 9311 |
2015,
|
| 9312 |
2014,
|
| 9313 |
2013,
|
| 9314 |
-
2012
|
|
|
|
| 9315 |
]
|
| 9316 |
},
|
| 9317 |
"multimodal.scene-understanding": {
|
|
@@ -9331,7 +9428,8 @@
|
|
| 9331 |
2015,
|
| 9332 |
2014,
|
| 9333 |
2013,
|
| 9334 |
-
2012
|
|
|
|
| 9335 |
]
|
| 9336 |
},
|
| 9337 |
"multimodal.text-to-3d": {
|
|
@@ -9351,7 +9449,8 @@
|
|
| 9351 |
2015,
|
| 9352 |
2014,
|
| 9353 |
2013,
|
| 9354 |
-
2012
|
|
|
|
| 9355 |
]
|
| 9356 |
},
|
| 9357 |
"multimodal.text-to-image": {
|
|
@@ -9371,7 +9470,8 @@
|
|
| 9371 |
2015,
|
| 9372 |
2014,
|
| 9373 |
2013,
|
| 9374 |
-
2012
|
|
|
|
| 9375 |
]
|
| 9376 |
},
|
| 9377 |
"multimodal.text-to-video": {
|
|
@@ -9845,7 +9945,8 @@
|
|
| 9845 |
2015,
|
| 9846 |
2014,
|
| 9847 |
2013,
|
| 9848 |
-
2012
|
|
|
|
| 9849 |
]
|
| 9850 |
},
|
| 9851 |
"nlp.named-entity-recognition": {
|
|
@@ -9865,7 +9966,8 @@
|
|
| 9865 |
2015,
|
| 9866 |
2014,
|
| 9867 |
2013,
|
| 9868 |
-
2012
|
|
|
|
| 9869 |
]
|
| 9870 |
},
|
| 9871 |
"nlp.neural-reranking": {
|
|
@@ -9885,7 +9987,8 @@
|
|
| 9885 |
2015,
|
| 9886 |
2014,
|
| 9887 |
2013,
|
| 9888 |
-
2012
|
|
|
|
| 9889 |
]
|
| 9890 |
},
|
| 9891 |
"nlp.question-answering": {
|
|
@@ -9905,7 +10008,8 @@
|
|
| 9905 |
2015,
|
| 9906 |
2014,
|
| 9907 |
2013,
|
| 9908 |
-
2012
|
|
|
|
| 9909 |
]
|
| 9910 |
},
|
| 9911 |
"nlp.rag": {
|
|
@@ -9925,7 +10029,8 @@
|
|
| 9925 |
2015,
|
| 9926 |
2014,
|
| 9927 |
2013,
|
| 9928 |
-
2012
|
|
|
|
| 9929 |
]
|
| 9930 |
},
|
| 9931 |
"nlp.semantic-search": {
|
|
@@ -9945,7 +10050,8 @@
|
|
| 9945 |
2015,
|
| 9946 |
2014,
|
| 9947 |
2013,
|
| 9948 |
-
2012
|
|
|
|
| 9949 |
]
|
| 9950 |
},
|
| 9951 |
"nlp.sentence-embeddings": {
|
|
@@ -9965,7 +10071,8 @@
|
|
| 9965 |
2015,
|
| 9966 |
2014,
|
| 9967 |
2013,
|
| 9968 |
-
2012
|
|
|
|
| 9969 |
]
|
| 9970 |
},
|
| 9971 |
"nlp.subword-tokenization": {
|
|
@@ -9985,7 +10092,8 @@
|
|
| 9985 |
2015,
|
| 9986 |
2014,
|
| 9987 |
2013,
|
| 9988 |
-
2012
|
|
|
|
| 9989 |
]
|
| 9990 |
},
|
| 9991 |
"nlp.text-classification": {
|
|
@@ -10005,7 +10113,8 @@
|
|
| 10005 |
2015,
|
| 10006 |
2014,
|
| 10007 |
2013,
|
| 10008 |
-
2012
|
|
|
|
| 10009 |
]
|
| 10010 |
},
|
| 10011 |
"nlp.text-generation": {
|
|
@@ -10025,7 +10134,8 @@
|
|
| 10025 |
2015,
|
| 10026 |
2014,
|
| 10027 |
2013,
|
| 10028 |
-
2012
|
|
|
|
| 10029 |
]
|
| 10030 |
},
|
| 10031 |
"nlp.text-summarization": {
|
|
@@ -10232,7 +10342,8 @@
|
|
| 10232 |
2015,
|
| 10233 |
2014,
|
| 10234 |
2013,
|
| 10235 |
-
2012
|
|
|
|
| 10236 |
]
|
| 10237 |
},
|
| 10238 |
"probable.data-training-selection": {
|
|
@@ -10252,7 +10363,8 @@
|
|
| 10252 |
2015,
|
| 10253 |
2014,
|
| 10254 |
2013,
|
| 10255 |
-
2012
|
|
|
|
| 10256 |
]
|
| 10257 |
},
|
| 10258 |
"probable.evaluation-ml-benchmark": {
|
|
@@ -10272,7 +10384,8 @@
|
|
| 10272 |
2015,
|
| 10273 |
2014,
|
| 10274 |
2013,
|
| 10275 |
-
2012
|
|
|
|
| 10276 |
]
|
| 10277 |
},
|
| 10278 |
"probable.evaluation-model-calibration-readme": {
|
|
@@ -10292,7 +10405,8 @@
|
|
| 10292 |
2015,
|
| 10293 |
2014,
|
| 10294 |
2013,
|
| 10295 |
-
2012
|
|
|
|
| 10296 |
]
|
| 10297 |
},
|
| 10298 |
"probable.evaluation-ood-readme": {
|
|
@@ -10312,7 +10426,8 @@
|
|
| 10312 |
2015,
|
| 10313 |
2014,
|
| 10314 |
2013,
|
| 10315 |
-
2012
|
|
|
|
| 10316 |
]
|
| 10317 |
},
|
| 10318 |
"probable.scientific-data-assimilation": {
|
|
@@ -10332,7 +10447,8 @@
|
|
| 10332 |
2015,
|
| 10333 |
2014,
|
| 10334 |
2013,
|
| 10335 |
-
2012
|
|
|
|
| 10336 |
]
|
| 10337 |
},
|
| 10338 |
"probable.scientific-reduced-order-modeling": {
|
|
@@ -10352,7 +10468,8 @@
|
|
| 10352 |
2015,
|
| 10353 |
2014,
|
| 10354 |
2013,
|
| 10355 |
-
2012
|
|
|
|
| 10356 |
]
|
| 10357 |
},
|
| 10358 |
"probable.scientific-surrogate-modeling": {
|
|
@@ -10372,7 +10489,8 @@
|
|
| 10372 |
2015,
|
| 10373 |
2014,
|
| 10374 |
2013,
|
| 10375 |
-
2012
|
|
|
|
| 10376 |
]
|
| 10377 |
},
|
| 10378 |
"probable.scientific-system-identification": {
|
|
@@ -10392,7 +10510,8 @@
|
|
| 10392 |
2015,
|
| 10393 |
2014,
|
| 10394 |
2013,
|
| 10395 |
-
2012
|
|
|
|
| 10396 |
]
|
| 10397 |
},
|
| 10398 |
"recall.archaeological-remote-sensing": {
|
|
@@ -10559,7 +10678,8 @@
|
|
| 10559 |
2015,
|
| 10560 |
2014,
|
| 10561 |
2013,
|
| 10562 |
-
2012
|
|
|
|
| 10563 |
]
|
| 10564 |
},
|
| 10565 |
"recall.epidemiological-modeling": {
|
|
@@ -10579,7 +10699,8 @@
|
|
| 10579 |
2015,
|
| 10580 |
2014,
|
| 10581 |
2013,
|
| 10582 |
-
2012
|
|
|
|
| 10583 |
]
|
| 10584 |
},
|
| 10585 |
"recall.grid-stability-prediction": {
|
|
@@ -10599,7 +10720,8 @@
|
|
| 10599 |
2015,
|
| 10600 |
2014,
|
| 10601 |
2013,
|
| 10602 |
-
2012
|
|
|
|
| 10603 |
]
|
| 10604 |
},
|
| 10605 |
"recall.historical-document-recognition": {
|
|
@@ -10619,7 +10741,8 @@
|
|
| 10619 |
2015,
|
| 10620 |
2014,
|
| 10621 |
2013,
|
| 10622 |
-
2012
|
|
|
|
| 10623 |
]
|
| 10624 |
},
|
| 10625 |
"recall.infrastructure-damage-detection": {
|
|
@@ -10639,7 +10762,8 @@
|
|
| 10639 |
2015,
|
| 10640 |
2014,
|
| 10641 |
2013,
|
| 10642 |
-
2012
|
|
|
|
| 10643 |
]
|
| 10644 |
},
|
| 10645 |
"recall.insurance-risk-modeling": {
|
|
@@ -10659,7 +10783,8 @@
|
|
| 10659 |
2015,
|
| 10660 |
2014,
|
| 10661 |
2013,
|
| 10662 |
-
2012
|
|
|
|
| 10663 |
]
|
| 10664 |
},
|
| 10665 |
"recall.legal-document-classification": {
|
|
@@ -10679,7 +10804,8 @@
|
|
| 10679 |
2015,
|
| 10680 |
2014,
|
| 10681 |
2013,
|
| 10682 |
-
2012
|
|
|
|
| 10683 |
]
|
| 10684 |
},
|
| 10685 |
"recall.legal-nlp": {
|
|
@@ -10699,7 +10825,8 @@
|
|
| 10699 |
2015,
|
| 10700 |
2014,
|
| 10701 |
2013,
|
| 10702 |
-
2012
|
|
|
|
| 10703 |
]
|
| 10704 |
},
|
| 10705 |
"recall.name.artificial-intelligence": {
|
|
@@ -10719,7 +10846,8 @@
|
|
| 10719 |
2015,
|
| 10720 |
2014,
|
| 10721 |
2013,
|
| 10722 |
-
2012
|
|
|
|
| 10723 |
]
|
| 10724 |
},
|
| 10725 |
"recall.name.deep-learning": {
|
|
@@ -10739,7 +10867,8 @@
|
|
| 10739 |
2015,
|
| 10740 |
2014,
|
| 10741 |
2013,
|
| 10742 |
-
2012
|
|
|
|
| 10743 |
]
|
| 10744 |
},
|
| 10745 |
"recall.name.diffusion-model": {
|
|
@@ -11206,7 +11335,8 @@
|
|
| 11206 |
2015,
|
| 11207 |
2014,
|
| 11208 |
2013,
|
| 11209 |
-
2012
|
|
|
|
| 11210 |
]
|
| 11211 |
},
|
| 11212 |
"rl.bandits": {
|
|
@@ -11373,7 +11503,8 @@
|
|
| 11373 |
2015,
|
| 11374 |
2014,
|
| 11375 |
2013,
|
| 11376 |
-
2012
|
|
|
|
| 11377 |
]
|
| 11378 |
},
|
| 11379 |
"rl.hierarchical": {
|
|
@@ -11393,7 +11524,8 @@
|
|
| 11393 |
2015,
|
| 11394 |
2014,
|
| 11395 |
2013,
|
| 11396 |
-
2012
|
|
|
|
| 11397 |
]
|
| 11398 |
},
|
| 11399 |
"rl.imitation-learning": {
|
|
@@ -11413,7 +11545,8 @@
|
|
| 11413 |
2015,
|
| 11414 |
2014,
|
| 11415 |
2013,
|
| 11416 |
-
2012
|
|
|
|
| 11417 |
]
|
| 11418 |
},
|
| 11419 |
"rl.inverse": {
|
|
@@ -11433,7 +11566,8 @@
|
|
| 11433 |
2015,
|
| 11434 |
2014,
|
| 11435 |
2013,
|
| 11436 |
-
2012
|
|
|
|
| 11437 |
]
|
| 11438 |
},
|
| 11439 |
"rl.model-based": {
|
|
@@ -11453,7 +11587,8 @@
|
|
| 11453 |
2015,
|
| 11454 |
2014,
|
| 11455 |
2013,
|
| 11456 |
-
2012
|
|
|
|
| 11457 |
]
|
| 11458 |
},
|
| 11459 |
"rl.model-free": {
|
|
@@ -11473,7 +11608,8 @@
|
|
| 11473 |
2015,
|
| 11474 |
2014,
|
| 11475 |
2013,
|
| 11476 |
-
2012
|
|
|
|
| 11477 |
]
|
| 11478 |
},
|
| 11479 |
"rl.multiagent": {
|
|
@@ -11493,7 +11629,8 @@
|
|
| 11493 |
2015,
|
| 11494 |
2014,
|
| 11495 |
2013,
|
| 11496 |
-
2012
|
|
|
|
| 11497 |
]
|
| 11498 |
},
|
| 11499 |
"rl.offline": {
|
|
@@ -11513,7 +11650,8 @@
|
|
| 11513 |
2015,
|
| 11514 |
2014,
|
| 11515 |
2013,
|
| 11516 |
-
2012
|
|
|
|
| 11517 |
]
|
| 11518 |
},
|
| 11519 |
"rl.planning": {
|
|
@@ -11533,7 +11671,8 @@
|
|
| 11533 |
2015,
|
| 11534 |
2014,
|
| 11535 |
2013,
|
| 11536 |
-
2012
|
|
|
|
| 11537 |
]
|
| 11538 |
},
|
| 11539 |
"rl.policy-gradient": {
|
|
@@ -11553,7 +11692,8 @@
|
|
| 11553 |
2015,
|
| 11554 |
2014,
|
| 11555 |
2013,
|
| 11556 |
-
2012
|
|
|
|
| 11557 |
]
|
| 11558 |
},
|
| 11559 |
"rl.ppo": {
|
|
@@ -11820,7 +11960,8 @@
|
|
| 11820 |
2015,
|
| 11821 |
2014,
|
| 11822 |
2013,
|
| 11823 |
-
2012
|
|
|
|
| 11824 |
]
|
| 11825 |
},
|
| 11826 |
"robotics.manipulation": {
|
|
@@ -11840,7 +11981,8 @@
|
|
| 11840 |
2015,
|
| 11841 |
2014,
|
| 11842 |
2013,
|
| 11843 |
-
2012
|
|
|
|
| 11844 |
]
|
| 11845 |
},
|
| 11846 |
"robotics.navigation": {
|
|
@@ -11860,7 +12002,8 @@
|
|
| 11860 |
2015,
|
| 11861 |
2014,
|
| 11862 |
2013,
|
| 11863 |
-
2012
|
|
|
|
| 11864 |
]
|
| 11865 |
},
|
| 11866 |
"robotics.robot-control": {
|
|
@@ -11880,7 +12023,8 @@
|
|
| 11880 |
2015,
|
| 11881 |
2014,
|
| 11882 |
2013,
|
| 11883 |
-
2012
|
|
|
|
| 11884 |
]
|
| 11885 |
},
|
| 11886 |
"robotics.robot-foundation-model": {
|
|
@@ -11900,7 +12044,8 @@
|
|
| 11900 |
2015,
|
| 11901 |
2014,
|
| 11902 |
2013,
|
| 11903 |
-
2012
|
|
|
|
| 11904 |
]
|
| 11905 |
},
|
| 11906 |
"robotics.robot-learning": {
|
|
@@ -11920,7 +12065,8 @@
|
|
| 11920 |
2015,
|
| 11921 |
2014,
|
| 11922 |
2013,
|
| 11923 |
-
2012
|
|
|
|
| 11924 |
]
|
| 11925 |
},
|
| 11926 |
"robotics.robot-manipulation-learning": {
|
|
@@ -11940,7 +12086,8 @@
|
|
| 11940 |
2015,
|
| 11941 |
2014,
|
| 11942 |
2013,
|
| 11943 |
-
2012
|
|
|
|
| 11944 |
]
|
| 11945 |
},
|
| 11946 |
"robotics.robot-motion-planning": {
|
|
@@ -11960,7 +12107,8 @@
|
|
| 11960 |
2015,
|
| 11961 |
2014,
|
| 11962 |
2013,
|
| 11963 |
-
2012
|
|
|
|
| 11964 |
]
|
| 11965 |
},
|
| 11966 |
"robotics.robotics-reinforcement-learning": {
|
|
@@ -11980,7 +12128,8 @@
|
|
| 11980 |
2015,
|
| 11981 |
2014,
|
| 11982 |
2013,
|
| 11983 |
-
2012
|
|
|
|
| 11984 |
]
|
| 11985 |
},
|
| 11986 |
"robotics.robotics-topic": {
|
|
@@ -12000,7 +12149,8 @@
|
|
| 12000 |
2015,
|
| 12001 |
2014,
|
| 12002 |
2013,
|
| 12003 |
-
2012
|
|
|
|
| 12004 |
]
|
| 12005 |
},
|
| 12006 |
"robotics.sim2real": {
|
|
@@ -12266,7 +12416,8 @@
|
|
| 12266 |
2015,
|
| 12267 |
2014,
|
| 12268 |
2013,
|
| 12269 |
-
2012
|
|
|
|
| 12270 |
]
|
| 12271 |
},
|
| 12272 |
"science.fluid-dynamics": {
|
|
@@ -12286,7 +12437,8 @@
|
|
| 12286 |
2015,
|
| 12287 |
2014,
|
| 12288 |
2013,
|
| 12289 |
-
2012
|
|
|
|
| 12290 |
]
|
| 12291 |
},
|
| 12292 |
"science.fusion-plasma": {
|
|
@@ -12306,7 +12458,8 @@
|
|
| 12306 |
2015,
|
| 12307 |
2014,
|
| 12308 |
2013,
|
| 12309 |
-
2012
|
|
|
|
| 12310 |
]
|
| 12311 |
},
|
| 12312 |
"science.gravitational-waves": {
|
|
@@ -12326,7 +12479,8 @@
|
|
| 12326 |
2015,
|
| 12327 |
2014,
|
| 12328 |
2013,
|
| 12329 |
-
2012
|
|
|
|
| 12330 |
]
|
| 12331 |
},
|
| 12332 |
"science.inverse-problems": {
|
|
@@ -12346,7 +12500,8 @@
|
|
| 12346 |
2015,
|
| 12347 |
2014,
|
| 12348 |
2013,
|
| 12349 |
-
2012
|
|
|
|
| 12350 |
]
|
| 12351 |
},
|
| 12352 |
"science.neural-operators": {
|
|
@@ -12366,7 +12521,8 @@
|
|
| 12366 |
2015,
|
| 12367 |
2014,
|
| 12368 |
2013,
|
| 12369 |
-
2012
|
|
|
|
| 12370 |
]
|
| 12371 |
},
|
| 12372 |
"science.ocean-modeling": {
|
|
@@ -12386,7 +12542,8 @@
|
|
| 12386 |
2015,
|
| 12387 |
2014,
|
| 12388 |
2013,
|
| 12389 |
-
2012
|
|
|
|
| 12390 |
]
|
| 12391 |
},
|
| 12392 |
"science.particle-physics": {
|
|
@@ -12406,7 +12563,8 @@
|
|
| 12406 |
2015,
|
| 12407 |
2014,
|
| 12408 |
2013,
|
| 12409 |
-
2012
|
|
|
|
| 12410 |
]
|
| 12411 |
},
|
| 12412 |
"science.photonics": {
|
|
@@ -12426,7 +12584,8 @@
|
|
| 12426 |
2015,
|
| 12427 |
2014,
|
| 12428 |
2013,
|
| 12429 |
-
2012
|
|
|
|
| 12430 |
]
|
| 12431 |
},
|
| 12432 |
"science.physics": {
|
|
@@ -12446,7 +12605,8 @@
|
|
| 12446 |
2015,
|
| 12447 |
2014,
|
| 12448 |
2013,
|
| 12449 |
-
2012
|
|
|
|
| 12450 |
]
|
| 12451 |
},
|
| 12452 |
"science.physics-informed-neural-networks": {
|
|
@@ -12466,7 +12626,8 @@
|
|
| 12466 |
2015,
|
| 12467 |
2014,
|
| 12468 |
2013,
|
| 12469 |
-
2012
|
|
|
|
| 12470 |
]
|
| 12471 |
},
|
| 12472 |
"science.plasma-physics": {
|
|
@@ -12792,7 +12953,8 @@
|
|
| 12792 |
2015,
|
| 12793 |
2014,
|
| 12794 |
2013,
|
| 12795 |
-
2012
|
|
|
|
| 12796 |
]
|
| 12797 |
},
|
| 12798 |
"specialized.event-camera-deep-learning": {
|
|
@@ -12812,7 +12974,8 @@
|
|
| 12812 |
2015,
|
| 12813 |
2014,
|
| 12814 |
2013,
|
| 12815 |
-
2012
|
|
|
|
| 12816 |
]
|
| 12817 |
},
|
| 12818 |
"specialized.fmri-decoding-ml": {
|
|
@@ -12832,7 +12995,8 @@
|
|
| 12832 |
2015,
|
| 12833 |
2014,
|
| 12834 |
2013,
|
| 12835 |
-
2012
|
|
|
|
| 12836 |
]
|
| 12837 |
},
|
| 12838 |
"specialized.machine-unlearning": {
|
|
@@ -12852,7 +13016,8 @@
|
|
| 12852 |
2015,
|
| 12853 |
2014,
|
| 12854 |
2013,
|
| 12855 |
-
2012
|
|
|
|
| 12856 |
]
|
| 12857 |
},
|
| 12858 |
"specialized.mechanistic-interpretability": {
|
|
@@ -12872,7 +13037,8 @@
|
|
| 12872 |
2015,
|
| 12873 |
2014,
|
| 12874 |
2013,
|
| 12875 |
-
2012
|
|
|
|
| 12876 |
]
|
| 12877 |
},
|
| 12878 |
"specialized.medical-image-registration-deep-learning": {
|
|
@@ -12892,7 +13058,8 @@
|
|
| 12892 |
2015,
|
| 12893 |
2014,
|
| 12894 |
2013,
|
| 12895 |
-
2012
|
|
|
|
| 12896 |
]
|
| 12897 |
},
|
| 12898 |
"specialized.pathology-foundation-model": {
|
|
@@ -12912,7 +13079,8 @@
|
|
| 12912 |
2015,
|
| 12913 |
2014,
|
| 12914 |
2013,
|
| 12915 |
-
2012
|
|
|
|
| 12916 |
]
|
| 12917 |
},
|
| 12918 |
"specialized.spiking-neural-network": {
|
|
@@ -12932,7 +13100,8 @@
|
|
| 12932 |
2015,
|
| 12933 |
2014,
|
| 12934 |
2013,
|
| 12935 |
-
2012
|
|
|
|
| 12936 |
]
|
| 12937 |
},
|
| 12938 |
"specialized.test-time-adaptation": {
|
|
@@ -12952,7 +13121,8 @@
|
|
| 12952 |
2015,
|
| 12953 |
2014,
|
| 12954 |
2013,
|
| 12955 |
-
2012
|
|
|
|
| 12956 |
]
|
| 12957 |
},
|
| 12958 |
"timeseries.anomaly-detection": {
|
|
@@ -13098,7 +13268,8 @@
|
|
| 13098 |
2015,
|
| 13099 |
2014,
|
| 13100 |
2013,
|
| 13101 |
-
2012
|
|
|
|
| 13102 |
]
|
| 13103 |
},
|
| 13104 |
"timeseries.imputation": {
|
|
@@ -13118,7 +13289,8 @@
|
|
| 13118 |
2015,
|
| 13119 |
2014,
|
| 13120 |
2013,
|
| 13121 |
-
2012
|
|
|
|
| 13122 |
]
|
| 13123 |
},
|
| 13124 |
"timeseries.long-horizon": {
|
|
@@ -13138,7 +13310,8 @@
|
|
| 13138 |
2015,
|
| 13139 |
2014,
|
| 13140 |
2013,
|
| 13141 |
-
2012
|
|
|
|
| 13142 |
]
|
| 13143 |
},
|
| 13144 |
"timeseries.multivariate": {
|
|
@@ -13158,7 +13331,8 @@
|
|
| 13158 |
2015,
|
| 13159 |
2014,
|
| 13160 |
2013,
|
| 13161 |
-
2012
|
|
|
|
| 13162 |
]
|
| 13163 |
},
|
| 13164 |
"timeseries.nbeats": {
|
|
@@ -13178,7 +13352,8 @@
|
|
| 13178 |
2015,
|
| 13179 |
2014,
|
| 13180 |
2013,
|
| 13181 |
-
2012
|
|
|
|
| 13182 |
]
|
| 13183 |
},
|
| 13184 |
"timeseries.patchtst": {
|
|
@@ -13198,7 +13373,8 @@
|
|
| 13198 |
2015,
|
| 13199 |
2014,
|
| 13200 |
2013,
|
| 13201 |
-
2012
|
|
|
|
| 13202 |
]
|
| 13203 |
},
|
| 13204 |
"timeseries.predictive-maintenance": {
|
|
@@ -13218,7 +13394,8 @@
|
|
| 13218 |
2015,
|
| 13219 |
2014,
|
| 13220 |
2013,
|
| 13221 |
-
2012
|
|
|
|
| 13222 |
]
|
| 13223 |
},
|
| 13224 |
"timeseries.probabilistic-forecasting": {
|
|
@@ -13238,7 +13415,8 @@
|
|
| 13238 |
2015,
|
| 13239 |
2014,
|
| 13240 |
2013,
|
| 13241 |
-
2012
|
|
|
|
| 13242 |
]
|
| 13243 |
},
|
| 13244 |
"timeseries.remaining-useful-life": {
|
|
@@ -13258,7 +13436,8 @@
|
|
| 13258 |
2015,
|
| 13259 |
2014,
|
| 13260 |
2013,
|
| 13261 |
-
2012
|
|
|
|
| 13262 |
]
|
| 13263 |
},
|
| 13264 |
"timeseries.sensor-data": {
|
|
@@ -13278,7 +13457,8 @@
|
|
| 13278 |
2015,
|
| 13279 |
2014,
|
| 13280 |
2013,
|
| 13281 |
-
2012
|
|
|
|
| 13282 |
]
|
| 13283 |
},
|
| 13284 |
"timeseries.state-space-models": {
|
|
@@ -13624,7 +13804,8 @@
|
|
| 13624 |
2015,
|
| 13625 |
2014,
|
| 13626 |
2013,
|
| 13627 |
-
2012
|
|
|
|
| 13628 |
]
|
| 13629 |
},
|
| 13630 |
"trust.causal-mediation": {
|
|
@@ -13644,7 +13825,8 @@
|
|
| 13644 |
2015,
|
| 13645 |
2014,
|
| 13646 |
2013,
|
| 13647 |
-
2012
|
|
|
|
| 13648 |
]
|
| 13649 |
},
|
| 13650 |
"trust.causal-ml": {
|
|
@@ -13664,7 +13846,8 @@
|
|
| 13664 |
2015,
|
| 13665 |
2014,
|
| 13666 |
2013,
|
| 13667 |
-
2012
|
|
|
|
| 13668 |
]
|
| 13669 |
},
|
| 13670 |
"trust.causal-representation-learning": {
|
|
@@ -13684,7 +13867,8 @@
|
|
| 13684 |
2015,
|
| 13685 |
2014,
|
| 13686 |
2013,
|
| 13687 |
-
2012
|
|
|
|
| 13688 |
]
|
| 13689 |
},
|
| 13690 |
"trust.conformal-prediction": {
|
|
@@ -13704,7 +13888,8 @@
|
|
| 13704 |
2015,
|
| 13705 |
2014,
|
| 13706 |
2013,
|
| 13707 |
-
2012
|
|
|
|
| 13708 |
]
|
| 13709 |
},
|
| 13710 |
"trust.counterfactual-explanations": {
|
|
@@ -13724,7 +13909,8 @@
|
|
| 13724 |
2015,
|
| 13725 |
2014,
|
| 13726 |
2013,
|
| 13727 |
-
2012
|
|
|
|
| 13728 |
]
|
| 13729 |
},
|
| 13730 |
"trust.differential-privacy": {
|
|
@@ -13744,7 +13930,8 @@
|
|
| 13744 |
2015,
|
| 13745 |
2014,
|
| 13746 |
2013,
|
| 13747 |
-
2012
|
|
|
|
| 13748 |
]
|
| 13749 |
},
|
| 13750 |
"trust.distribution-shift": {
|
|
@@ -13764,7 +13951,8 @@
|
|
| 13764 |
2015,
|
| 13765 |
2014,
|
| 13766 |
2013,
|
| 13767 |
-
2012
|
|
|
|
| 13768 |
]
|
| 13769 |
},
|
| 13770 |
"trust.domain-generalization": {
|
|
@@ -13784,7 +13972,8 @@
|
|
| 13784 |
2015,
|
| 13785 |
2014,
|
| 13786 |
2013,
|
| 13787 |
-
2012
|
|
|
|
| 13788 |
]
|
| 13789 |
},
|
| 13790 |
"trust.explainable-ai": {
|
|
@@ -13804,7 +13993,8 @@
|
|
| 13804 |
2015,
|
| 13805 |
2014,
|
| 13806 |
2013,
|
| 13807 |
-
2012
|
|
|
|
| 13808 |
]
|
| 13809 |
},
|
| 13810 |
"trust.federated-learning": {
|
|
@@ -14210,7 +14400,8 @@
|
|
| 14210 |
2015,
|
| 14211 |
2014,
|
| 14212 |
2013,
|
| 14213 |
-
2012
|
|
|
|
| 14214 |
]
|
| 14215 |
},
|
| 14216 |
"vision.image-restoration": {
|
|
@@ -14230,7 +14421,8 @@
|
|
| 14230 |
2015,
|
| 14231 |
2014,
|
| 14232 |
2013,
|
| 14233 |
-
2012
|
|
|
|
| 14234 |
]
|
| 14235 |
},
|
| 14236 |
"vision.image-retrieval": {
|
|
@@ -14250,7 +14442,8 @@
|
|
| 14250 |
2015,
|
| 14251 |
2014,
|
| 14252 |
2013,
|
| 14253 |
-
2012
|
|
|
|
| 14254 |
]
|
| 14255 |
},
|
| 14256 |
"vision.image-super-resolution": {
|
|
@@ -14270,7 +14463,8 @@
|
|
| 14270 |
2015,
|
| 14271 |
2014,
|
| 14272 |
2013,
|
| 14273 |
-
2012
|
|
|
|
| 14274 |
]
|
| 14275 |
},
|
| 14276 |
"vision.image-to-image-translation": {
|
|
@@ -14290,7 +14484,8 @@
|
|
| 14290 |
2015,
|
| 14291 |
2014,
|
| 14292 |
2013,
|
| 14293 |
-
2012
|
|
|
|
| 14294 |
]
|
| 14295 |
},
|
| 14296 |
"vision.neural-rendering": {
|
|
@@ -14310,7 +14505,8 @@
|
|
| 14310 |
2015,
|
| 14311 |
2014,
|
| 14312 |
2013,
|
| 14313 |
-
2012
|
|
|
|
| 14314 |
]
|
| 14315 |
},
|
| 14316 |
"vision.object-detection": {
|
|
@@ -14330,7 +14526,8 @@
|
|
| 14330 |
2015,
|
| 14331 |
2014,
|
| 14332 |
2013,
|
| 14333 |
-
2012
|
|
|
|
| 14334 |
]
|
| 14335 |
},
|
| 14336 |
"vision.object-tracking": {
|
|
@@ -14350,7 +14547,8 @@
|
|
| 14350 |
2015,
|
| 14351 |
2014,
|
| 14352 |
2013,
|
| 14353 |
-
2012
|
|
|
|
| 14354 |
]
|
| 14355 |
},
|
| 14356 |
"vision.ocr": {
|
|
@@ -14370,7 +14568,8 @@
|
|
| 14370 |
2015,
|
| 14371 |
2014,
|
| 14372 |
2013,
|
| 14373 |
-
2012
|
|
|
|
| 14374 |
]
|
| 14375 |
},
|
| 14376 |
"vision.open-vocabulary-detection": {
|
|
@@ -14390,7 +14589,8 @@
|
|
| 14390 |
2015,
|
| 14391 |
2014,
|
| 14392 |
2013,
|
| 14393 |
-
2012
|
|
|
|
| 14394 |
]
|
| 14395 |
},
|
| 14396 |
"vision.optical-flow": {
|
|
@@ -14623,5 +14823,5 @@
|
|
| 14623 |
"end": "2026-09-24",
|
| 14624 |
"search_policy_version": 2,
|
| 14625 |
"start_year": 2008,
|
| 14626 |
-
"updated_at": "2026-11-
|
| 14627 |
}
|
|
|
|
| 2570 |
2015,
|
| 2571 |
2014,
|
| 2572 |
2013,
|
| 2573 |
+
2012,
|
| 2574 |
+
2011
|
| 2575 |
]
|
| 2576 |
},
|
| 2577 |
"applied.customer-lifetime-value": {
|
|
|
|
| 2591 |
2015,
|
| 2592 |
2014,
|
| 2593 |
2013,
|
| 2594 |
+
2012,
|
| 2595 |
+
2011
|
| 2596 |
]
|
| 2597 |
},
|
| 2598 |
"applied.customer-segmentation": {
|
|
|
|
| 2612 |
2015,
|
| 2613 |
2014,
|
| 2614 |
2013,
|
| 2615 |
+
2012,
|
| 2616 |
+
2011
|
| 2617 |
]
|
| 2618 |
},
|
| 2619 |
"applied.cybersecurity-ml": {
|
|
|
|
| 2633 |
2015,
|
| 2634 |
2014,
|
| 2635 |
2013,
|
| 2636 |
+
2012,
|
| 2637 |
+
2011
|
| 2638 |
]
|
| 2639 |
},
|
| 2640 |
"applied.demand-forecasting": {
|
|
|
|
| 2654 |
2015,
|
| 2655 |
2014,
|
| 2656 |
2013,
|
| 2657 |
+
2012,
|
| 2658 |
+
2011
|
| 2659 |
]
|
| 2660 |
},
|
| 2661 |
"applied.dynamic-pricing": {
|
|
|
|
| 2675 |
2015,
|
| 2676 |
2014,
|
| 2677 |
2013,
|
| 2678 |
+
2012,
|
| 2679 |
+
2011
|
| 2680 |
]
|
| 2681 |
},
|
| 2682 |
"applied.ecological-forecasting": {
|
|
|
|
| 2696 |
2015,
|
| 2697 |
2014,
|
| 2698 |
2013,
|
| 2699 |
+
2012,
|
| 2700 |
+
2011
|
| 2701 |
]
|
| 2702 |
},
|
| 2703 |
"applied.educational-data-mining": {
|
|
|
|
| 2717 |
2015,
|
| 2718 |
2014,
|
| 2719 |
2013,
|
| 2720 |
+
2012,
|
| 2721 |
+
2011
|
| 2722 |
]
|
| 2723 |
},
|
| 2724 |
"applied.energy-load-forecasting": {
|
|
|
|
| 2738 |
2015,
|
| 2739 |
2014,
|
| 2740 |
2013,
|
| 2741 |
+
2012,
|
| 2742 |
+
2011
|
| 2743 |
]
|
| 2744 |
},
|
| 2745 |
"applied.fraud-detection": {
|
|
|
|
| 2759 |
2015,
|
| 2760 |
2014,
|
| 2761 |
2013,
|
| 2762 |
+
2012,
|
| 2763 |
+
2011
|
| 2764 |
]
|
| 2765 |
},
|
| 2766 |
"applied.industrial-defect-detection": {
|
|
|
|
| 3874 |
2015,
|
| 3875 |
2014,
|
| 3876 |
2013,
|
| 3877 |
+
2012,
|
| 3878 |
+
2011
|
| 3879 |
]
|
| 3880 |
},
|
| 3881 |
"bio.metagenomics": {
|
|
|
|
| 3895 |
2015,
|
| 3896 |
2014,
|
| 3897 |
2013,
|
| 3898 |
+
2012,
|
| 3899 |
+
2011
|
| 3900 |
]
|
| 3901 |
},
|
| 3902 |
"bio.microbiome": {
|
|
|
|
| 3916 |
2015,
|
| 3917 |
2014,
|
| 3918 |
2013,
|
| 3919 |
+
2012,
|
| 3920 |
+
2011
|
| 3921 |
]
|
| 3922 |
},
|
| 3923 |
"bio.microscopy-cell-analysis": {
|
|
|
|
| 3937 |
2015,
|
| 3938 |
2014,
|
| 3939 |
2013,
|
| 3940 |
+
2012,
|
| 3941 |
+
2011
|
| 3942 |
]
|
| 3943 |
},
|
| 3944 |
"bio.molecular-dynamics": {
|
|
|
|
| 3958 |
2015,
|
| 3959 |
2014,
|
| 3960 |
2013,
|
| 3961 |
+
2012,
|
| 3962 |
+
2011
|
| 3963 |
]
|
| 3964 |
},
|
| 3965 |
"bio.molecular-force-fields": {
|
|
|
|
| 3979 |
2015,
|
| 3980 |
2014,
|
| 3981 |
2013,
|
| 3982 |
+
2012,
|
| 3983 |
+
2011
|
| 3984 |
]
|
| 3985 |
},
|
| 3986 |
"bio.phylogenetics": {
|
|
|
|
| 4000 |
2015,
|
| 4001 |
2014,
|
| 4002 |
2013,
|
| 4003 |
+
2012,
|
| 4004 |
+
2011
|
| 4005 |
]
|
| 4006 |
},
|
| 4007 |
"bio.protein-design": {
|
|
|
|
| 4021 |
2015,
|
| 4022 |
2014,
|
| 4023 |
2013,
|
| 4024 |
+
2012,
|
| 4025 |
+
2011
|
| 4026 |
]
|
| 4027 |
},
|
| 4028 |
"bio.protein-folding": {
|
|
|
|
| 4042 |
2015,
|
| 4043 |
2014,
|
| 4044 |
2013,
|
| 4045 |
+
2012,
|
| 4046 |
+
2011
|
| 4047 |
]
|
| 4048 |
},
|
| 4049 |
"bio.protein-interactions": {
|
|
|
|
| 4063 |
2015,
|
| 4064 |
2014,
|
| 4065 |
2013,
|
| 4066 |
+
2012,
|
| 4067 |
+
2011
|
| 4068 |
]
|
| 4069 |
},
|
| 4070 |
"bio.protein-structure": {
|
|
|
|
| 4831 |
2015,
|
| 4832 |
2014,
|
| 4833 |
2013,
|
| 4834 |
+
2012,
|
| 4835 |
+
2011
|
| 4836 |
]
|
| 4837 |
},
|
| 4838 |
"efficiency.gpu-kernels": {
|
|
|
|
| 4852 |
2015,
|
| 4853 |
2014,
|
| 4854 |
2013,
|
| 4855 |
+
2012,
|
| 4856 |
+
2011
|
| 4857 |
]
|
| 4858 |
},
|
| 4859 |
"efficiency.gradient-optimization": {
|
|
|
|
| 4873 |
2015,
|
| 4874 |
2014,
|
| 4875 |
2013,
|
| 4876 |
+
2012,
|
| 4877 |
+
2011
|
| 4878 |
]
|
| 4879 |
},
|
| 4880 |
"efficiency.hyperparameter-optimization": {
|
|
|
|
| 4894 |
2015,
|
| 4895 |
2014,
|
| 4896 |
2013,
|
| 4897 |
+
2012,
|
| 4898 |
+
2011
|
| 4899 |
]
|
| 4900 |
},
|
| 4901 |
"efficiency.inference-systems": {
|
|
|
|
| 4915 |
2015,
|
| 4916 |
2014,
|
| 4917 |
2013,
|
| 4918 |
+
2012,
|
| 4919 |
+
2011
|
| 4920 |
]
|
| 4921 |
},
|
| 4922 |
"efficiency.knowledge-distillation": {
|
|
|
|
| 4936 |
2015,
|
| 4937 |
2014,
|
| 4938 |
2013,
|
| 4939 |
+
2012,
|
| 4940 |
+
2011
|
| 4941 |
]
|
| 4942 |
},
|
| 4943 |
"efficiency.kv-cache": {
|
|
|
|
| 4957 |
2015,
|
| 4958 |
2014,
|
| 4959 |
2013,
|
| 4960 |
+
2012,
|
| 4961 |
+
2011
|
| 4962 |
]
|
| 4963 |
},
|
| 4964 |
"efficiency.lora": {
|
|
|
|
| 4978 |
2015,
|
| 4979 |
2014,
|
| 4980 |
2013,
|
| 4981 |
+
2012,
|
| 4982 |
+
2011
|
| 4983 |
]
|
| 4984 |
},
|
| 4985 |
"efficiency.low-rank-factorization": {
|
|
|
|
| 4999 |
2015,
|
| 5000 |
2014,
|
| 5001 |
2013,
|
| 5002 |
+
2012,
|
| 5003 |
+
2011
|
| 5004 |
]
|
| 5005 |
},
|
| 5006 |
"efficiency.mixed-precision-training": {
|
|
|
|
| 5020 |
2015,
|
| 5021 |
2014,
|
| 5022 |
2013,
|
| 5023 |
+
2012,
|
| 5024 |
+
2011
|
| 5025 |
]
|
| 5026 |
},
|
| 5027 |
"efficiency.mixture-of-experts": {
|
|
|
|
| 5408 |
2015,
|
| 5409 |
2014,
|
| 5410 |
2013,
|
| 5411 |
+
2012,
|
| 5412 |
+
2011
|
| 5413 |
]
|
| 5414 |
},
|
| 5415 |
"gap2026.econometrics-double-ml": {
|
|
|
|
| 5429 |
2015,
|
| 5430 |
2014,
|
| 5431 |
2013,
|
| 5432 |
+
2012,
|
| 5433 |
+
2011
|
| 5434 |
]
|
| 5435 |
},
|
| 5436 |
"gap2026.econometrics-heterogeneous-effects": {
|
|
|
|
| 5450 |
2015,
|
| 5451 |
2014,
|
| 5452 |
2013,
|
| 5453 |
+
2012,
|
| 5454 |
+
2011
|
| 5455 |
]
|
| 5456 |
},
|
| 5457 |
"gap2026.econometrics-policy-learning": {
|
|
|
|
| 5471 |
2015,
|
| 5472 |
2014,
|
| 5473 |
2013,
|
| 5474 |
+
2012,
|
| 5475 |
+
2011
|
| 5476 |
]
|
| 5477 |
},
|
| 5478 |
"gap2026.forecasting-count-data": {
|
|
|
|
| 5492 |
2015,
|
| 5493 |
2014,
|
| 5494 |
2013,
|
| 5495 |
+
2012,
|
| 5496 |
+
2011
|
| 5497 |
]
|
| 5498 |
},
|
| 5499 |
"gap2026.forecasting-hierarchical": {
|
|
|
|
| 5513 |
2015,
|
| 5514 |
2014,
|
| 5515 |
2013,
|
| 5516 |
+
2012,
|
| 5517 |
+
2011
|
| 5518 |
]
|
| 5519 |
},
|
| 5520 |
"gap2026.forecasting-intermittent-demand": {
|
|
|
|
| 5534 |
2015,
|
| 5535 |
2014,
|
| 5536 |
2013,
|
| 5537 |
+
2012,
|
| 5538 |
+
2011
|
| 5539 |
]
|
| 5540 |
},
|
| 5541 |
"gap2026.forecasting-quantile": {
|
|
|
|
| 5555 |
2015,
|
| 5556 |
2014,
|
| 5557 |
2013,
|
| 5558 |
+
2012,
|
| 5559 |
+
2011
|
| 5560 |
]
|
| 5561 |
},
|
| 5562 |
"gap2026.green-ai-carbon": {
|
|
|
|
| 5576 |
2015,
|
| 5577 |
2014,
|
| 5578 |
2013,
|
| 5579 |
+
2012,
|
| 5580 |
+
2011
|
| 5581 |
]
|
| 5582 |
},
|
| 5583 |
"gap2026.green-ai-carbon-aware-scheduling": {
|
|
|
|
| 5597 |
2015,
|
| 5598 |
2014,
|
| 5599 |
2013,
|
| 5600 |
+
2012,
|
| 5601 |
+
2011
|
| 5602 |
]
|
| 5603 |
},
|
| 5604 |
"gap2026.green-ai-efficient-inference": {
|
|
|
|
| 6005 |
2015,
|
| 6006 |
2014,
|
| 6007 |
2013,
|
| 6008 |
+
2012,
|
| 6009 |
+
2011
|
| 6010 |
]
|
| 6011 |
},
|
| 6012 |
"general.contrastive-learning": {
|
|
|
|
| 6026 |
2015,
|
| 6027 |
2014,
|
| 6028 |
2013,
|
| 6029 |
+
2012,
|
| 6030 |
+
2011
|
| 6031 |
]
|
| 6032 |
},
|
| 6033 |
"general.decision-trees": {
|
|
|
|
| 6047 |
2015,
|
| 6048 |
2014,
|
| 6049 |
2013,
|
| 6050 |
+
2012,
|
| 6051 |
+
2011
|
| 6052 |
]
|
| 6053 |
},
|
| 6054 |
"general.deep-learning-description": {
|
|
|
|
| 6068 |
2015,
|
| 6069 |
2014,
|
| 6070 |
2013,
|
| 6071 |
+
2012,
|
| 6072 |
+
2011
|
| 6073 |
]
|
| 6074 |
},
|
| 6075 |
"general.deep-learning-readme": {
|
|
|
|
| 6089 |
2015,
|
| 6090 |
2014,
|
| 6091 |
2013,
|
| 6092 |
+
2012,
|
| 6093 |
+
2011
|
| 6094 |
]
|
| 6095 |
},
|
| 6096 |
"general.dimensionality-reduction": {
|
|
|
|
| 6110 |
2015,
|
| 6111 |
2014,
|
| 6112 |
2013,
|
| 6113 |
+
2012,
|
| 6114 |
+
2011
|
| 6115 |
]
|
| 6116 |
},
|
| 6117 |
"general.domain-adaptation": {
|
|
|
|
| 6131 |
2015,
|
| 6132 |
2014,
|
| 6133 |
2013,
|
| 6134 |
+
2012,
|
| 6135 |
+
2011
|
| 6136 |
]
|
| 6137 |
},
|
| 6138 |
"general.gaussian-mixture-models": {
|
|
|
|
| 6152 |
2015,
|
| 6153 |
2014,
|
| 6154 |
2013,
|
| 6155 |
+
2012,
|
| 6156 |
+
2011
|
| 6157 |
]
|
| 6158 |
},
|
| 6159 |
"general.gaussian-process": {
|
|
|
|
| 6173 |
2015,
|
| 6174 |
2014,
|
| 6175 |
2013,
|
| 6176 |
+
2012,
|
| 6177 |
+
2011
|
| 6178 |
]
|
| 6179 |
},
|
| 6180 |
"general.gradient-boosting": {
|
|
|
|
| 6194 |
2015,
|
| 6195 |
2014,
|
| 6196 |
2013,
|
| 6197 |
+
2012,
|
| 6198 |
+
2011
|
| 6199 |
]
|
| 6200 |
},
|
| 6201 |
"general.hidden-markov-models": {
|
|
|
|
| 6902 |
2015,
|
| 6903 |
2014,
|
| 6904 |
2013,
|
| 6905 |
+
2012,
|
| 6906 |
+
2011
|
| 6907 |
]
|
| 6908 |
},
|
| 6909 |
"geo.geospatial-foundation-models": {
|
|
|
|
| 6923 |
2015,
|
| 6924 |
2014,
|
| 6925 |
2013,
|
| 6926 |
+
2012,
|
| 6927 |
+
2011
|
| 6928 |
]
|
| 6929 |
},
|
| 6930 |
"geo.geospatial-knowledge-graph": {
|
|
|
|
| 6944 |
2015,
|
| 6945 |
2014,
|
| 6946 |
2013,
|
| 6947 |
+
2012,
|
| 6948 |
+
2011
|
| 6949 |
]
|
| 6950 |
},
|
| 6951 |
"geo.hydrology": {
|
|
|
|
| 6965 |
2015,
|
| 6966 |
2014,
|
| 6967 |
2013,
|
| 6968 |
+
2012,
|
| 6969 |
+
2011
|
| 6970 |
]
|
| 6971 |
},
|
| 6972 |
"geo.land-cover": {
|
|
|
|
| 6986 |
2015,
|
| 6987 |
2014,
|
| 6988 |
2013,
|
| 6989 |
+
2012,
|
| 6990 |
+
2011
|
| 6991 |
]
|
| 6992 |
},
|
| 6993 |
"geo.land-use": {
|
|
|
|
| 7007 |
2015,
|
| 7008 |
2014,
|
| 7009 |
2013,
|
| 7010 |
+
2012,
|
| 7011 |
+
2011
|
| 7012 |
]
|
| 7013 |
},
|
| 7014 |
"geo.lidar": {
|
|
|
|
| 7028 |
2015,
|
| 7029 |
2014,
|
| 7030 |
2013,
|
| 7031 |
+
2012,
|
| 7032 |
+
2011
|
| 7033 |
]
|
| 7034 |
},
|
| 7035 |
"geo.mobility-modeling": {
|
|
|
|
| 7049 |
2015,
|
| 7050 |
2014,
|
| 7051 |
2013,
|
| 7052 |
+
2012,
|
| 7053 |
+
2011
|
| 7054 |
]
|
| 7055 |
},
|
| 7056 |
"geo.object-detection": {
|
|
|
|
| 7070 |
2015,
|
| 7071 |
2014,
|
| 7072 |
2013,
|
| 7073 |
+
2012,
|
| 7074 |
+
2011
|
| 7075 |
]
|
| 7076 |
},
|
| 7077 |
"geo.ocean-remote-sensing": {
|
|
|
|
| 7091 |
2015,
|
| 7092 |
2014,
|
| 7093 |
2013,
|
| 7094 |
+
2012,
|
| 7095 |
+
2011
|
| 7096 |
]
|
| 7097 |
},
|
| 7098 |
"geo.precipitation-forecasting": {
|
|
|
|
| 7459 |
2015,
|
| 7460 |
2014,
|
| 7461 |
2013,
|
| 7462 |
+
2012,
|
| 7463 |
+
2011
|
| 7464 |
]
|
| 7465 |
},
|
| 7466 |
"graph.graph-foundation-model": {
|
|
|
|
| 7480 |
2015,
|
| 7481 |
2014,
|
| 7482 |
2013,
|
| 7483 |
+
2012,
|
| 7484 |
+
2011
|
| 7485 |
]
|
| 7486 |
},
|
| 7487 |
"graph.graph-generation": {
|
|
|
|
| 7501 |
2015,
|
| 7502 |
2014,
|
| 7503 |
2013,
|
| 7504 |
+
2012,
|
| 7505 |
+
2011
|
| 7506 |
]
|
| 7507 |
},
|
| 7508 |
"graph.graph-transformer": {
|
|
|
|
| 7522 |
2015,
|
| 7523 |
2014,
|
| 7524 |
2013,
|
| 7525 |
+
2012,
|
| 7526 |
+
2011
|
| 7527 |
]
|
| 7528 |
},
|
| 7529 |
"graph.hypergraph-neural-network": {
|
|
|
|
| 7543 |
2015,
|
| 7544 |
2014,
|
| 7545 |
2013,
|
| 7546 |
+
2012,
|
| 7547 |
+
2011
|
| 7548 |
]
|
| 7549 |
},
|
| 7550 |
"graph.knowledge-graph-embedding": {
|
|
|
|
| 7564 |
2015,
|
| 7565 |
2014,
|
| 7566 |
2013,
|
| 7567 |
+
2012,
|
| 7568 |
+
2011
|
| 7569 |
]
|
| 7570 |
},
|
| 7571 |
"graph.knowledge-graphs": {
|
|
|
|
| 7585 |
2015,
|
| 7586 |
2014,
|
| 7587 |
2013,
|
| 7588 |
+
2012,
|
| 7589 |
+
2011
|
| 7590 |
]
|
| 7591 |
},
|
| 7592 |
"graph.link-prediction": {
|
|
|
|
| 7606 |
2015,
|
| 7607 |
2014,
|
| 7608 |
2013,
|
| 7609 |
+
2012,
|
| 7610 |
+
2011
|
| 7611 |
]
|
| 7612 |
},
|
| 7613 |
"graph.manifold-learning": {
|
|
|
|
| 7627 |
2015,
|
| 7628 |
2014,
|
| 7629 |
2013,
|
| 7630 |
+
2012,
|
| 7631 |
+
2011
|
| 7632 |
]
|
| 7633 |
},
|
| 7634 |
"graph.mesh-graph-learning": {
|
|
|
|
| 7648 |
2015,
|
| 7649 |
2014,
|
| 7650 |
2013,
|
| 7651 |
+
2012,
|
| 7652 |
+
2011
|
| 7653 |
]
|
| 7654 |
},
|
| 7655 |
"graph.molecular-graphs": {
|
|
|
|
| 8100 |
2015,
|
| 8101 |
2014,
|
| 8102 |
2013,
|
| 8103 |
+
2012,
|
| 8104 |
+
2011
|
| 8105 |
]
|
| 8106 |
},
|
| 8107 |
"llm.generative-ai": {
|
|
|
|
| 8121 |
2015,
|
| 8122 |
2014,
|
| 8123 |
2013,
|
| 8124 |
+
2012,
|
| 8125 |
+
2011
|
| 8126 |
]
|
| 8127 |
},
|
| 8128 |
"llm.instruction-tuning": {
|
|
|
|
| 8142 |
2015,
|
| 8143 |
2014,
|
| 8144 |
2013,
|
| 8145 |
+
2012,
|
| 8146 |
+
2011
|
| 8147 |
]
|
| 8148 |
},
|
| 8149 |
"llm.language-model": {
|
|
|
|
| 8163 |
2015,
|
| 8164 |
2014,
|
| 8165 |
2013,
|
| 8166 |
+
2012,
|
| 8167 |
+
2011
|
| 8168 |
]
|
| 8169 |
},
|
| 8170 |
"llm.language-models": {
|
|
|
|
| 8184 |
2015,
|
| 8185 |
2014,
|
| 8186 |
2013,
|
| 8187 |
+
2012,
|
| 8188 |
+
2011
|
| 8189 |
]
|
| 8190 |
},
|
| 8191 |
"llm.large-language-model": {
|
|
|
|
| 8205 |
2015,
|
| 8206 |
2014,
|
| 8207 |
2013,
|
| 8208 |
+
2012,
|
| 8209 |
+
2011
|
| 8210 |
]
|
| 8211 |
},
|
| 8212 |
"llm.long-context": {
|
|
|
|
| 8226 |
2015,
|
| 8227 |
2014,
|
| 8228 |
2013,
|
| 8229 |
+
2012,
|
| 8230 |
+
2011
|
| 8231 |
]
|
| 8232 |
},
|
| 8233 |
"llm.multimodal": {
|
|
|
|
| 8247 |
2015,
|
| 8248 |
2014,
|
| 8249 |
2013,
|
| 8250 |
+
2012,
|
| 8251 |
+
2011
|
| 8252 |
]
|
| 8253 |
},
|
| 8254 |
"llm.parameter-efficient-finetuning": {
|
|
|
|
| 8268 |
2015,
|
| 8269 |
2014,
|
| 8270 |
2013,
|
| 8271 |
+
2012,
|
| 8272 |
+
2011
|
| 8273 |
]
|
| 8274 |
},
|
| 8275 |
"llm.preference-optimization": {
|
|
|
|
| 8289 |
2015,
|
| 8290 |
2014,
|
| 8291 |
2013,
|
| 8292 |
+
2012,
|
| 8293 |
+
2011
|
| 8294 |
]
|
| 8295 |
},
|
| 8296 |
"llm.quantization": {
|
|
|
|
| 8724 |
2015,
|
| 8725 |
2014,
|
| 8726 |
2013,
|
| 8727 |
+
2012,
|
| 8728 |
+
2011
|
| 8729 |
]
|
| 8730 |
},
|
| 8731 |
"medical.eeg": {
|
|
|
|
| 8745 |
2015,
|
| 8746 |
2014,
|
| 8747 |
2013,
|
| 8748 |
+
2012,
|
| 8749 |
+
2011
|
| 8750 |
]
|
| 8751 |
},
|
| 8752 |
"medical.ehr": {
|
|
|
|
| 8766 |
2015,
|
| 8767 |
2014,
|
| 8768 |
2013,
|
| 8769 |
+
2012,
|
| 8770 |
+
2011
|
| 8771 |
]
|
| 8772 |
},
|
| 8773 |
"medical.genomics": {
|
|
|
|
| 8787 |
2015,
|
| 8788 |
2014,
|
| 8789 |
2013,
|
| 8790 |
+
2012,
|
| 8791 |
+
2011
|
| 8792 |
]
|
| 8793 |
},
|
| 8794 |
"medical.histopathology": {
|
|
|
|
| 8808 |
2015,
|
| 8809 |
2014,
|
| 8810 |
2013,
|
| 8811 |
+
2012,
|
| 8812 |
+
2011
|
| 8813 |
]
|
| 8814 |
},
|
| 8815 |
"medical.medical-image-reconstruction": {
|
|
|
|
| 8829 |
2015,
|
| 8830 |
2014,
|
| 8831 |
2013,
|
| 8832 |
+
2012,
|
| 8833 |
+
2011
|
| 8834 |
]
|
| 8835 |
},
|
| 8836 |
"medical.medical-image-registration": {
|
|
|
|
| 8850 |
2015,
|
| 8851 |
2014,
|
| 8852 |
2013,
|
| 8853 |
+
2012,
|
| 8854 |
+
2011
|
| 8855 |
]
|
| 8856 |
},
|
| 8857 |
"medical.medical-image-segmentation": {
|
|
|
|
| 8871 |
2015,
|
| 8872 |
2014,
|
| 8873 |
2013,
|
| 8874 |
+
2012,
|
| 8875 |
+
2011
|
| 8876 |
]
|
| 8877 |
},
|
| 8878 |
"medical.medical-imaging": {
|
|
|
|
| 8892 |
2015,
|
| 8893 |
2014,
|
| 8894 |
2013,
|
| 8895 |
+
2012,
|
| 8896 |
+
2011
|
| 8897 |
]
|
| 8898 |
},
|
| 8899 |
"medical.medical-language-model": {
|
|
|
|
| 8913 |
2015,
|
| 8914 |
2014,
|
| 8915 |
2013,
|
| 8916 |
+
2012,
|
| 8917 |
+
2011
|
| 8918 |
]
|
| 8919 |
},
|
| 8920 |
"medical.medical-robotics": {
|
|
|
|
| 9281 |
2015,
|
| 9282 |
2014,
|
| 9283 |
2013,
|
| 9284 |
+
2012,
|
| 9285 |
+
2011
|
| 9286 |
]
|
| 9287 |
},
|
| 9288 |
"multimodal.image-to-3d": {
|
|
|
|
| 9302 |
2015,
|
| 9303 |
2014,
|
| 9304 |
2013,
|
| 9305 |
+
2012,
|
| 9306 |
+
2011
|
| 9307 |
]
|
| 9308 |
},
|
| 9309 |
"multimodal.image-to-video": {
|
|
|
|
| 9323 |
2015,
|
| 9324 |
2014,
|
| 9325 |
2013,
|
| 9326 |
+
2012,
|
| 9327 |
+
2011
|
| 9328 |
]
|
| 9329 |
},
|
| 9330 |
"multimodal.motion-generation": {
|
|
|
|
| 9344 |
2015,
|
| 9345 |
2014,
|
| 9346 |
2013,
|
| 9347 |
+
2012,
|
| 9348 |
+
2011
|
| 9349 |
]
|
| 9350 |
},
|
| 9351 |
"multimodal.nerf": {
|
|
|
|
| 9365 |
2015,
|
| 9366 |
2014,
|
| 9367 |
2013,
|
| 9368 |
+
2012,
|
| 9369 |
+
2011
|
| 9370 |
]
|
| 9371 |
},
|
| 9372 |
"multimodal.neural-rendering": {
|
|
|
|
| 9386 |
2015,
|
| 9387 |
2014,
|
| 9388 |
2013,
|
| 9389 |
+
2012,
|
| 9390 |
+
2011
|
| 9391 |
]
|
| 9392 |
},
|
| 9393 |
"multimodal.point-cloud": {
|
|
|
|
| 9407 |
2015,
|
| 9408 |
2014,
|
| 9409 |
2013,
|
| 9410 |
+
2012,
|
| 9411 |
+
2011
|
| 9412 |
]
|
| 9413 |
},
|
| 9414 |
"multimodal.scene-understanding": {
|
|
|
|
| 9428 |
2015,
|
| 9429 |
2014,
|
| 9430 |
2013,
|
| 9431 |
+
2012,
|
| 9432 |
+
2011
|
| 9433 |
]
|
| 9434 |
},
|
| 9435 |
"multimodal.text-to-3d": {
|
|
|
|
| 9449 |
2015,
|
| 9450 |
2014,
|
| 9451 |
2013,
|
| 9452 |
+
2012,
|
| 9453 |
+
2011
|
| 9454 |
]
|
| 9455 |
},
|
| 9456 |
"multimodal.text-to-image": {
|
|
|
|
| 9470 |
2015,
|
| 9471 |
2014,
|
| 9472 |
2013,
|
| 9473 |
+
2012,
|
| 9474 |
+
2011
|
| 9475 |
]
|
| 9476 |
},
|
| 9477 |
"multimodal.text-to-video": {
|
|
|
|
| 9945 |
2015,
|
| 9946 |
2014,
|
| 9947 |
2013,
|
| 9948 |
+
2012,
|
| 9949 |
+
2011
|
| 9950 |
]
|
| 9951 |
},
|
| 9952 |
"nlp.named-entity-recognition": {
|
|
|
|
| 9966 |
2015,
|
| 9967 |
2014,
|
| 9968 |
2013,
|
| 9969 |
+
2012,
|
| 9970 |
+
2011
|
| 9971 |
]
|
| 9972 |
},
|
| 9973 |
"nlp.neural-reranking": {
|
|
|
|
| 9987 |
2015,
|
| 9988 |
2014,
|
| 9989 |
2013,
|
| 9990 |
+
2012,
|
| 9991 |
+
2011
|
| 9992 |
]
|
| 9993 |
},
|
| 9994 |
"nlp.question-answering": {
|
|
|
|
| 10008 |
2015,
|
| 10009 |
2014,
|
| 10010 |
2013,
|
| 10011 |
+
2012,
|
| 10012 |
+
2011
|
| 10013 |
]
|
| 10014 |
},
|
| 10015 |
"nlp.rag": {
|
|
|
|
| 10029 |
2015,
|
| 10030 |
2014,
|
| 10031 |
2013,
|
| 10032 |
+
2012,
|
| 10033 |
+
2011
|
| 10034 |
]
|
| 10035 |
},
|
| 10036 |
"nlp.semantic-search": {
|
|
|
|
| 10050 |
2015,
|
| 10051 |
2014,
|
| 10052 |
2013,
|
| 10053 |
+
2012,
|
| 10054 |
+
2011
|
| 10055 |
]
|
| 10056 |
},
|
| 10057 |
"nlp.sentence-embeddings": {
|
|
|
|
| 10071 |
2015,
|
| 10072 |
2014,
|
| 10073 |
2013,
|
| 10074 |
+
2012,
|
| 10075 |
+
2011
|
| 10076 |
]
|
| 10077 |
},
|
| 10078 |
"nlp.subword-tokenization": {
|
|
|
|
| 10092 |
2015,
|
| 10093 |
2014,
|
| 10094 |
2013,
|
| 10095 |
+
2012,
|
| 10096 |
+
2011
|
| 10097 |
]
|
| 10098 |
},
|
| 10099 |
"nlp.text-classification": {
|
|
|
|
| 10113 |
2015,
|
| 10114 |
2014,
|
| 10115 |
2013,
|
| 10116 |
+
2012,
|
| 10117 |
+
2011
|
| 10118 |
]
|
| 10119 |
},
|
| 10120 |
"nlp.text-generation": {
|
|
|
|
| 10134 |
2015,
|
| 10135 |
2014,
|
| 10136 |
2013,
|
| 10137 |
+
2012,
|
| 10138 |
+
2011
|
| 10139 |
]
|
| 10140 |
},
|
| 10141 |
"nlp.text-summarization": {
|
|
|
|
| 10342 |
2015,
|
| 10343 |
2014,
|
| 10344 |
2013,
|
| 10345 |
+
2012,
|
| 10346 |
+
2011
|
| 10347 |
]
|
| 10348 |
},
|
| 10349 |
"probable.data-training-selection": {
|
|
|
|
| 10363 |
2015,
|
| 10364 |
2014,
|
| 10365 |
2013,
|
| 10366 |
+
2012,
|
| 10367 |
+
2011
|
| 10368 |
]
|
| 10369 |
},
|
| 10370 |
"probable.evaluation-ml-benchmark": {
|
|
|
|
| 10384 |
2015,
|
| 10385 |
2014,
|
| 10386 |
2013,
|
| 10387 |
+
2012,
|
| 10388 |
+
2011
|
| 10389 |
]
|
| 10390 |
},
|
| 10391 |
"probable.evaluation-model-calibration-readme": {
|
|
|
|
| 10405 |
2015,
|
| 10406 |
2014,
|
| 10407 |
2013,
|
| 10408 |
+
2012,
|
| 10409 |
+
2011
|
| 10410 |
]
|
| 10411 |
},
|
| 10412 |
"probable.evaluation-ood-readme": {
|
|
|
|
| 10426 |
2015,
|
| 10427 |
2014,
|
| 10428 |
2013,
|
| 10429 |
+
2012,
|
| 10430 |
+
2011
|
| 10431 |
]
|
| 10432 |
},
|
| 10433 |
"probable.scientific-data-assimilation": {
|
|
|
|
| 10447 |
2015,
|
| 10448 |
2014,
|
| 10449 |
2013,
|
| 10450 |
+
2012,
|
| 10451 |
+
2011
|
| 10452 |
]
|
| 10453 |
},
|
| 10454 |
"probable.scientific-reduced-order-modeling": {
|
|
|
|
| 10468 |
2015,
|
| 10469 |
2014,
|
| 10470 |
2013,
|
| 10471 |
+
2012,
|
| 10472 |
+
2011
|
| 10473 |
]
|
| 10474 |
},
|
| 10475 |
"probable.scientific-surrogate-modeling": {
|
|
|
|
| 10489 |
2015,
|
| 10490 |
2014,
|
| 10491 |
2013,
|
| 10492 |
+
2012,
|
| 10493 |
+
2011
|
| 10494 |
]
|
| 10495 |
},
|
| 10496 |
"probable.scientific-system-identification": {
|
|
|
|
| 10510 |
2015,
|
| 10511 |
2014,
|
| 10512 |
2013,
|
| 10513 |
+
2012,
|
| 10514 |
+
2011
|
| 10515 |
]
|
| 10516 |
},
|
| 10517 |
"recall.archaeological-remote-sensing": {
|
|
|
|
| 10678 |
2015,
|
| 10679 |
2014,
|
| 10680 |
2013,
|
| 10681 |
+
2012,
|
| 10682 |
+
2011
|
| 10683 |
]
|
| 10684 |
},
|
| 10685 |
"recall.epidemiological-modeling": {
|
|
|
|
| 10699 |
2015,
|
| 10700 |
2014,
|
| 10701 |
2013,
|
| 10702 |
+
2012,
|
| 10703 |
+
2011
|
| 10704 |
]
|
| 10705 |
},
|
| 10706 |
"recall.grid-stability-prediction": {
|
|
|
|
| 10720 |
2015,
|
| 10721 |
2014,
|
| 10722 |
2013,
|
| 10723 |
+
2012,
|
| 10724 |
+
2011
|
| 10725 |
]
|
| 10726 |
},
|
| 10727 |
"recall.historical-document-recognition": {
|
|
|
|
| 10741 |
2015,
|
| 10742 |
2014,
|
| 10743 |
2013,
|
| 10744 |
+
2012,
|
| 10745 |
+
2011
|
| 10746 |
]
|
| 10747 |
},
|
| 10748 |
"recall.infrastructure-damage-detection": {
|
|
|
|
| 10762 |
2015,
|
| 10763 |
2014,
|
| 10764 |
2013,
|
| 10765 |
+
2012,
|
| 10766 |
+
2011
|
| 10767 |
]
|
| 10768 |
},
|
| 10769 |
"recall.insurance-risk-modeling": {
|
|
|
|
| 10783 |
2015,
|
| 10784 |
2014,
|
| 10785 |
2013,
|
| 10786 |
+
2012,
|
| 10787 |
+
2011
|
| 10788 |
]
|
| 10789 |
},
|
| 10790 |
"recall.legal-document-classification": {
|
|
|
|
| 10804 |
2015,
|
| 10805 |
2014,
|
| 10806 |
2013,
|
| 10807 |
+
2012,
|
| 10808 |
+
2011
|
| 10809 |
]
|
| 10810 |
},
|
| 10811 |
"recall.legal-nlp": {
|
|
|
|
| 10825 |
2015,
|
| 10826 |
2014,
|
| 10827 |
2013,
|
| 10828 |
+
2012,
|
| 10829 |
+
2011
|
| 10830 |
]
|
| 10831 |
},
|
| 10832 |
"recall.name.artificial-intelligence": {
|
|
|
|
| 10846 |
2015,
|
| 10847 |
2014,
|
| 10848 |
2013,
|
| 10849 |
+
2012,
|
| 10850 |
+
2011
|
| 10851 |
]
|
| 10852 |
},
|
| 10853 |
"recall.name.deep-learning": {
|
|
|
|
| 10867 |
2015,
|
| 10868 |
2014,
|
| 10869 |
2013,
|
| 10870 |
+
2012,
|
| 10871 |
+
2011
|
| 10872 |
]
|
| 10873 |
},
|
| 10874 |
"recall.name.diffusion-model": {
|
|
|
|
| 11335 |
2015,
|
| 11336 |
2014,
|
| 11337 |
2013,
|
| 11338 |
+
2012,
|
| 11339 |
+
2011
|
| 11340 |
]
|
| 11341 |
},
|
| 11342 |
"rl.bandits": {
|
|
|
|
| 11503 |
2015,
|
| 11504 |
2014,
|
| 11505 |
2013,
|
| 11506 |
+
2012,
|
| 11507 |
+
2011
|
| 11508 |
]
|
| 11509 |
},
|
| 11510 |
"rl.hierarchical": {
|
|
|
|
| 11524 |
2015,
|
| 11525 |
2014,
|
| 11526 |
2013,
|
| 11527 |
+
2012,
|
| 11528 |
+
2011
|
| 11529 |
]
|
| 11530 |
},
|
| 11531 |
"rl.imitation-learning": {
|
|
|
|
| 11545 |
2015,
|
| 11546 |
2014,
|
| 11547 |
2013,
|
| 11548 |
+
2012,
|
| 11549 |
+
2011
|
| 11550 |
]
|
| 11551 |
},
|
| 11552 |
"rl.inverse": {
|
|
|
|
| 11566 |
2015,
|
| 11567 |
2014,
|
| 11568 |
2013,
|
| 11569 |
+
2012,
|
| 11570 |
+
2011
|
| 11571 |
]
|
| 11572 |
},
|
| 11573 |
"rl.model-based": {
|
|
|
|
| 11587 |
2015,
|
| 11588 |
2014,
|
| 11589 |
2013,
|
| 11590 |
+
2012,
|
| 11591 |
+
2011
|
| 11592 |
]
|
| 11593 |
},
|
| 11594 |
"rl.model-free": {
|
|
|
|
| 11608 |
2015,
|
| 11609 |
2014,
|
| 11610 |
2013,
|
| 11611 |
+
2012,
|
| 11612 |
+
2011
|
| 11613 |
]
|
| 11614 |
},
|
| 11615 |
"rl.multiagent": {
|
|
|
|
| 11629 |
2015,
|
| 11630 |
2014,
|
| 11631 |
2013,
|
| 11632 |
+
2012,
|
| 11633 |
+
2011
|
| 11634 |
]
|
| 11635 |
},
|
| 11636 |
"rl.offline": {
|
|
|
|
| 11650 |
2015,
|
| 11651 |
2014,
|
| 11652 |
2013,
|
| 11653 |
+
2012,
|
| 11654 |
+
2011
|
| 11655 |
]
|
| 11656 |
},
|
| 11657 |
"rl.planning": {
|
|
|
|
| 11671 |
2015,
|
| 11672 |
2014,
|
| 11673 |
2013,
|
| 11674 |
+
2012,
|
| 11675 |
+
2011
|
| 11676 |
]
|
| 11677 |
},
|
| 11678 |
"rl.policy-gradient": {
|
|
|
|
| 11692 |
2015,
|
| 11693 |
2014,
|
| 11694 |
2013,
|
| 11695 |
+
2012,
|
| 11696 |
+
2011
|
| 11697 |
]
|
| 11698 |
},
|
| 11699 |
"rl.ppo": {
|
|
|
|
| 11960 |
2015,
|
| 11961 |
2014,
|
| 11962 |
2013,
|
| 11963 |
+
2012,
|
| 11964 |
+
2011
|
| 11965 |
]
|
| 11966 |
},
|
| 11967 |
"robotics.manipulation": {
|
|
|
|
| 11981 |
2015,
|
| 11982 |
2014,
|
| 11983 |
2013,
|
| 11984 |
+
2012,
|
| 11985 |
+
2011
|
| 11986 |
]
|
| 11987 |
},
|
| 11988 |
"robotics.navigation": {
|
|
|
|
| 12002 |
2015,
|
| 12003 |
2014,
|
| 12004 |
2013,
|
| 12005 |
+
2012,
|
| 12006 |
+
2011
|
| 12007 |
]
|
| 12008 |
},
|
| 12009 |
"robotics.robot-control": {
|
|
|
|
| 12023 |
2015,
|
| 12024 |
2014,
|
| 12025 |
2013,
|
| 12026 |
+
2012,
|
| 12027 |
+
2011
|
| 12028 |
]
|
| 12029 |
},
|
| 12030 |
"robotics.robot-foundation-model": {
|
|
|
|
| 12044 |
2015,
|
| 12045 |
2014,
|
| 12046 |
2013,
|
| 12047 |
+
2012,
|
| 12048 |
+
2011
|
| 12049 |
]
|
| 12050 |
},
|
| 12051 |
"robotics.robot-learning": {
|
|
|
|
| 12065 |
2015,
|
| 12066 |
2014,
|
| 12067 |
2013,
|
| 12068 |
+
2012,
|
| 12069 |
+
2011
|
| 12070 |
]
|
| 12071 |
},
|
| 12072 |
"robotics.robot-manipulation-learning": {
|
|
|
|
| 12086 |
2015,
|
| 12087 |
2014,
|
| 12088 |
2013,
|
| 12089 |
+
2012,
|
| 12090 |
+
2011
|
| 12091 |
]
|
| 12092 |
},
|
| 12093 |
"robotics.robot-motion-planning": {
|
|
|
|
| 12107 |
2015,
|
| 12108 |
2014,
|
| 12109 |
2013,
|
| 12110 |
+
2012,
|
| 12111 |
+
2011
|
| 12112 |
]
|
| 12113 |
},
|
| 12114 |
"robotics.robotics-reinforcement-learning": {
|
|
|
|
| 12128 |
2015,
|
| 12129 |
2014,
|
| 12130 |
2013,
|
| 12131 |
+
2012,
|
| 12132 |
+
2011
|
| 12133 |
]
|
| 12134 |
},
|
| 12135 |
"robotics.robotics-topic": {
|
|
|
|
| 12149 |
2015,
|
| 12150 |
2014,
|
| 12151 |
2013,
|
| 12152 |
+
2012,
|
| 12153 |
+
2011
|
| 12154 |
]
|
| 12155 |
},
|
| 12156 |
"robotics.sim2real": {
|
|
|
|
| 12416 |
2015,
|
| 12417 |
2014,
|
| 12418 |
2013,
|
| 12419 |
+
2012,
|
| 12420 |
+
2011
|
| 12421 |
]
|
| 12422 |
},
|
| 12423 |
"science.fluid-dynamics": {
|
|
|
|
| 12437 |
2015,
|
| 12438 |
2014,
|
| 12439 |
2013,
|
| 12440 |
+
2012,
|
| 12441 |
+
2011
|
| 12442 |
]
|
| 12443 |
},
|
| 12444 |
"science.fusion-plasma": {
|
|
|
|
| 12458 |
2015,
|
| 12459 |
2014,
|
| 12460 |
2013,
|
| 12461 |
+
2012,
|
| 12462 |
+
2011
|
| 12463 |
]
|
| 12464 |
},
|
| 12465 |
"science.gravitational-waves": {
|
|
|
|
| 12479 |
2015,
|
| 12480 |
2014,
|
| 12481 |
2013,
|
| 12482 |
+
2012,
|
| 12483 |
+
2011
|
| 12484 |
]
|
| 12485 |
},
|
| 12486 |
"science.inverse-problems": {
|
|
|
|
| 12500 |
2015,
|
| 12501 |
2014,
|
| 12502 |
2013,
|
| 12503 |
+
2012,
|
| 12504 |
+
2011
|
| 12505 |
]
|
| 12506 |
},
|
| 12507 |
"science.neural-operators": {
|
|
|
|
| 12521 |
2015,
|
| 12522 |
2014,
|
| 12523 |
2013,
|
| 12524 |
+
2012,
|
| 12525 |
+
2011
|
| 12526 |
]
|
| 12527 |
},
|
| 12528 |
"science.ocean-modeling": {
|
|
|
|
| 12542 |
2015,
|
| 12543 |
2014,
|
| 12544 |
2013,
|
| 12545 |
+
2012,
|
| 12546 |
+
2011
|
| 12547 |
]
|
| 12548 |
},
|
| 12549 |
"science.particle-physics": {
|
|
|
|
| 12563 |
2015,
|
| 12564 |
2014,
|
| 12565 |
2013,
|
| 12566 |
+
2012,
|
| 12567 |
+
2011
|
| 12568 |
]
|
| 12569 |
},
|
| 12570 |
"science.photonics": {
|
|
|
|
| 12584 |
2015,
|
| 12585 |
2014,
|
| 12586 |
2013,
|
| 12587 |
+
2012,
|
| 12588 |
+
2011
|
| 12589 |
]
|
| 12590 |
},
|
| 12591 |
"science.physics": {
|
|
|
|
| 12605 |
2015,
|
| 12606 |
2014,
|
| 12607 |
2013,
|
| 12608 |
+
2012,
|
| 12609 |
+
2011
|
| 12610 |
]
|
| 12611 |
},
|
| 12612 |
"science.physics-informed-neural-networks": {
|
|
|
|
| 12626 |
2015,
|
| 12627 |
2014,
|
| 12628 |
2013,
|
| 12629 |
+
2012,
|
| 12630 |
+
2011
|
| 12631 |
]
|
| 12632 |
},
|
| 12633 |
"science.plasma-physics": {
|
|
|
|
| 12953 |
2015,
|
| 12954 |
2014,
|
| 12955 |
2013,
|
| 12956 |
+
2012,
|
| 12957 |
+
2011
|
| 12958 |
]
|
| 12959 |
},
|
| 12960 |
"specialized.event-camera-deep-learning": {
|
|
|
|
| 12974 |
2015,
|
| 12975 |
2014,
|
| 12976 |
2013,
|
| 12977 |
+
2012,
|
| 12978 |
+
2011
|
| 12979 |
]
|
| 12980 |
},
|
| 12981 |
"specialized.fmri-decoding-ml": {
|
|
|
|
| 12995 |
2015,
|
| 12996 |
2014,
|
| 12997 |
2013,
|
| 12998 |
+
2012,
|
| 12999 |
+
2011
|
| 13000 |
]
|
| 13001 |
},
|
| 13002 |
"specialized.machine-unlearning": {
|
|
|
|
| 13016 |
2015,
|
| 13017 |
2014,
|
| 13018 |
2013,
|
| 13019 |
+
2012,
|
| 13020 |
+
2011
|
| 13021 |
]
|
| 13022 |
},
|
| 13023 |
"specialized.mechanistic-interpretability": {
|
|
|
|
| 13037 |
2015,
|
| 13038 |
2014,
|
| 13039 |
2013,
|
| 13040 |
+
2012,
|
| 13041 |
+
2011
|
| 13042 |
]
|
| 13043 |
},
|
| 13044 |
"specialized.medical-image-registration-deep-learning": {
|
|
|
|
| 13058 |
2015,
|
| 13059 |
2014,
|
| 13060 |
2013,
|
| 13061 |
+
2012,
|
| 13062 |
+
2011
|
| 13063 |
]
|
| 13064 |
},
|
| 13065 |
"specialized.pathology-foundation-model": {
|
|
|
|
| 13079 |
2015,
|
| 13080 |
2014,
|
| 13081 |
2013,
|
| 13082 |
+
2012,
|
| 13083 |
+
2011
|
| 13084 |
]
|
| 13085 |
},
|
| 13086 |
"specialized.spiking-neural-network": {
|
|
|
|
| 13100 |
2015,
|
| 13101 |
2014,
|
| 13102 |
2013,
|
| 13103 |
+
2012,
|
| 13104 |
+
2011
|
| 13105 |
]
|
| 13106 |
},
|
| 13107 |
"specialized.test-time-adaptation": {
|
|
|
|
| 13121 |
2015,
|
| 13122 |
2014,
|
| 13123 |
2013,
|
| 13124 |
+
2012,
|
| 13125 |
+
2011
|
| 13126 |
]
|
| 13127 |
},
|
| 13128 |
"timeseries.anomaly-detection": {
|
|
|
|
| 13268 |
2015,
|
| 13269 |
2014,
|
| 13270 |
2013,
|
| 13271 |
+
2012,
|
| 13272 |
+
2011
|
| 13273 |
]
|
| 13274 |
},
|
| 13275 |
"timeseries.imputation": {
|
|
|
|
| 13289 |
2015,
|
| 13290 |
2014,
|
| 13291 |
2013,
|
| 13292 |
+
2012,
|
| 13293 |
+
2011
|
| 13294 |
]
|
| 13295 |
},
|
| 13296 |
"timeseries.long-horizon": {
|
|
|
|
| 13310 |
2015,
|
| 13311 |
2014,
|
| 13312 |
2013,
|
| 13313 |
+
2012,
|
| 13314 |
+
2011
|
| 13315 |
]
|
| 13316 |
},
|
| 13317 |
"timeseries.multivariate": {
|
|
|
|
| 13331 |
2015,
|
| 13332 |
2014,
|
| 13333 |
2013,
|
| 13334 |
+
2012,
|
| 13335 |
+
2011
|
| 13336 |
]
|
| 13337 |
},
|
| 13338 |
"timeseries.nbeats": {
|
|
|
|
| 13352 |
2015,
|
| 13353 |
2014,
|
| 13354 |
2013,
|
| 13355 |
+
2012,
|
| 13356 |
+
2011
|
| 13357 |
]
|
| 13358 |
},
|
| 13359 |
"timeseries.patchtst": {
|
|
|
|
| 13373 |
2015,
|
| 13374 |
2014,
|
| 13375 |
2013,
|
| 13376 |
+
2012,
|
| 13377 |
+
2011
|
| 13378 |
]
|
| 13379 |
},
|
| 13380 |
"timeseries.predictive-maintenance": {
|
|
|
|
| 13394 |
2015,
|
| 13395 |
2014,
|
| 13396 |
2013,
|
| 13397 |
+
2012,
|
| 13398 |
+
2011
|
| 13399 |
]
|
| 13400 |
},
|
| 13401 |
"timeseries.probabilistic-forecasting": {
|
|
|
|
| 13415 |
2015,
|
| 13416 |
2014,
|
| 13417 |
2013,
|
| 13418 |
+
2012,
|
| 13419 |
+
2011
|
| 13420 |
]
|
| 13421 |
},
|
| 13422 |
"timeseries.remaining-useful-life": {
|
|
|
|
| 13436 |
2015,
|
| 13437 |
2014,
|
| 13438 |
2013,
|
| 13439 |
+
2012,
|
| 13440 |
+
2011
|
| 13441 |
]
|
| 13442 |
},
|
| 13443 |
"timeseries.sensor-data": {
|
|
|
|
| 13457 |
2015,
|
| 13458 |
2014,
|
| 13459 |
2013,
|
| 13460 |
+
2012,
|
| 13461 |
+
2011
|
| 13462 |
]
|
| 13463 |
},
|
| 13464 |
"timeseries.state-space-models": {
|
|
|
|
| 13804 |
2015,
|
| 13805 |
2014,
|
| 13806 |
2013,
|
| 13807 |
+
2012,
|
| 13808 |
+
2011
|
| 13809 |
]
|
| 13810 |
},
|
| 13811 |
"trust.causal-mediation": {
|
|
|
|
| 13825 |
2015,
|
| 13826 |
2014,
|
| 13827 |
2013,
|
| 13828 |
+
2012,
|
| 13829 |
+
2011
|
| 13830 |
]
|
| 13831 |
},
|
| 13832 |
"trust.causal-ml": {
|
|
|
|
| 13846 |
2015,
|
| 13847 |
2014,
|
| 13848 |
2013,
|
| 13849 |
+
2012,
|
| 13850 |
+
2011
|
| 13851 |
]
|
| 13852 |
},
|
| 13853 |
"trust.causal-representation-learning": {
|
|
|
|
| 13867 |
2015,
|
| 13868 |
2014,
|
| 13869 |
2013,
|
| 13870 |
+
2012,
|
| 13871 |
+
2011
|
| 13872 |
]
|
| 13873 |
},
|
| 13874 |
"trust.conformal-prediction": {
|
|
|
|
| 13888 |
2015,
|
| 13889 |
2014,
|
| 13890 |
2013,
|
| 13891 |
+
2012,
|
| 13892 |
+
2011
|
| 13893 |
]
|
| 13894 |
},
|
| 13895 |
"trust.counterfactual-explanations": {
|
|
|
|
| 13909 |
2015,
|
| 13910 |
2014,
|
| 13911 |
2013,
|
| 13912 |
+
2012,
|
| 13913 |
+
2011
|
| 13914 |
]
|
| 13915 |
},
|
| 13916 |
"trust.differential-privacy": {
|
|
|
|
| 13930 |
2015,
|
| 13931 |
2014,
|
| 13932 |
2013,
|
| 13933 |
+
2012,
|
| 13934 |
+
2011
|
| 13935 |
]
|
| 13936 |
},
|
| 13937 |
"trust.distribution-shift": {
|
|
|
|
| 13951 |
2015,
|
| 13952 |
2014,
|
| 13953 |
2013,
|
| 13954 |
+
2012,
|
| 13955 |
+
2011
|
| 13956 |
]
|
| 13957 |
},
|
| 13958 |
"trust.domain-generalization": {
|
|
|
|
| 13972 |
2015,
|
| 13973 |
2014,
|
| 13974 |
2013,
|
| 13975 |
+
2012,
|
| 13976 |
+
2011
|
| 13977 |
]
|
| 13978 |
},
|
| 13979 |
"trust.explainable-ai": {
|
|
|
|
| 13993 |
2015,
|
| 13994 |
2014,
|
| 13995 |
2013,
|
| 13996 |
+
2012,
|
| 13997 |
+
2011
|
| 13998 |
]
|
| 13999 |
},
|
| 14000 |
"trust.federated-learning": {
|
|
|
|
| 14400 |
2015,
|
| 14401 |
2014,
|
| 14402 |
2013,
|
| 14403 |
+
2012,
|
| 14404 |
+
2011
|
| 14405 |
]
|
| 14406 |
},
|
| 14407 |
"vision.image-restoration": {
|
|
|
|
| 14421 |
2015,
|
| 14422 |
2014,
|
| 14423 |
2013,
|
| 14424 |
+
2012,
|
| 14425 |
+
2011
|
| 14426 |
]
|
| 14427 |
},
|
| 14428 |
"vision.image-retrieval": {
|
|
|
|
| 14442 |
2015,
|
| 14443 |
2014,
|
| 14444 |
2013,
|
| 14445 |
+
2012,
|
| 14446 |
+
2011
|
| 14447 |
]
|
| 14448 |
},
|
| 14449 |
"vision.image-super-resolution": {
|
|
|
|
| 14463 |
2015,
|
| 14464 |
2014,
|
| 14465 |
2013,
|
| 14466 |
+
2012,
|
| 14467 |
+
2011
|
| 14468 |
]
|
| 14469 |
},
|
| 14470 |
"vision.image-to-image-translation": {
|
|
|
|
| 14484 |
2015,
|
| 14485 |
2014,
|
| 14486 |
2013,
|
| 14487 |
+
2012,
|
| 14488 |
+
2011
|
| 14489 |
]
|
| 14490 |
},
|
| 14491 |
"vision.neural-rendering": {
|
|
|
|
| 14505 |
2015,
|
| 14506 |
2014,
|
| 14507 |
2013,
|
| 14508 |
+
2012,
|
| 14509 |
+
2011
|
| 14510 |
]
|
| 14511 |
},
|
| 14512 |
"vision.object-detection": {
|
|
|
|
| 14526 |
2015,
|
| 14527 |
2014,
|
| 14528 |
2013,
|
| 14529 |
+
2012,
|
| 14530 |
+
2011
|
| 14531 |
]
|
| 14532 |
},
|
| 14533 |
"vision.object-tracking": {
|
|
|
|
| 14547 |
2015,
|
| 14548 |
2014,
|
| 14549 |
2013,
|
| 14550 |
+
2012,
|
| 14551 |
+
2011
|
| 14552 |
]
|
| 14553 |
},
|
| 14554 |
"vision.ocr": {
|
|
|
|
| 14568 |
2015,
|
| 14569 |
2014,
|
| 14570 |
2013,
|
| 14571 |
+
2012,
|
| 14572 |
+
2011
|
| 14573 |
]
|
| 14574 |
},
|
| 14575 |
"vision.open-vocabulary-detection": {
|
|
|
|
| 14589 |
2015,
|
| 14590 |
2014,
|
| 14591 |
2013,
|
| 14592 |
+
2012,
|
| 14593 |
+
2011
|
| 14594 |
]
|
| 14595 |
},
|
| 14596 |
"vision.optical-flow": {
|
|
|
|
| 14823 |
"end": "2026-09-24",
|
| 14824 |
"search_policy_version": 2,
|
| 14825 |
"start_year": 2008,
|
| 14826 |
+
"updated_at": "2026-11-10T18:36:46Z"
|
| 14827 |
}
|