Add GitHub ML run 20261016T152309000000Z-156f8674
Browse files
coverage/20261016T152309000000Z-156f8674.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:2019-01-01..2019-12-31",
|
| 13 |
+
"query_id": "science.exoplanets",
|
| 14 |
+
"repositories_observed_on_last_page": 51,
|
| 15 |
+
"sampled_first_page": true,
|
| 16 |
+
"search_limit_reached": false,
|
| 17 |
+
"status": "complete",
|
| 18 |
+
"total_count": 51,
|
| 19 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 27 |
+
"query_id": "specialized.dataset-distillation",
|
| 28 |
+
"repositories_observed_on_last_page": 13,
|
| 29 |
+
"sampled_first_page": true,
|
| 30 |
+
"search_limit_reached": false,
|
| 31 |
+
"status": "complete",
|
| 32 |
+
"total_count": 13,
|
| 33 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 55 |
+
"query_id": "trust.causal-effect-estimation",
|
| 56 |
+
"repositories_observed_on_last_page": 2,
|
| 57 |
+
"sampled_first_page": true,
|
| 58 |
+
"search_limit_reached": false,
|
| 59 |
+
"status": "complete",
|
| 60 |
+
"total_count": 2,
|
| 61 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 69 |
+
"query_id": "vision.image-diffusion",
|
| 70 |
+
"repositories_observed_on_last_page": 22,
|
| 71 |
+
"sampled_first_page": true,
|
| 72 |
+
"search_limit_reached": false,
|
| 73 |
+
"status": "complete",
|
| 74 |
+
"total_count": 22,
|
| 75 |
+
"year": 2019
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"coverage_gap": true,
|
| 79 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 80 |
+
"incomplete_results": false,
|
| 81 |
+
"pages_scanned": 1,
|
| 82 |
+
"query": "\"credit scoring\" in:description created:2019-01-01..2019-12-31",
|
| 83 |
+
"query_id": "applied.credit-scoring",
|
| 84 |
+
"repositories_observed_on_last_page": 100,
|
| 85 |
+
"sampled_first_page": true,
|
| 86 |
+
"search_limit_reached": false,
|
| 87 |
+
"status": "sampled",
|
| 88 |
+
"total_count": 162,
|
| 89 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 97 |
+
"query_id": "bio.inverse-folding",
|
| 98 |
+
"repositories_observed_on_last_page": 3,
|
| 99 |
+
"sampled_first_page": true,
|
| 100 |
+
"search_limit_reached": false,
|
| 101 |
+
"status": "complete",
|
| 102 |
+
"total_count": 3,
|
| 103 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 125 |
+
"query_id": "gap2026.econometrics-causal-forest",
|
| 126 |
+
"repositories_observed_on_last_page": 3,
|
| 127 |
+
"sampled_first_page": true,
|
| 128 |
+
"search_limit_reached": false,
|
| 129 |
+
"status": "complete",
|
| 130 |
+
"total_count": 3,
|
| 131 |
+
"year": 2019
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"coverage_gap": true,
|
| 135 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 136 |
+
"incomplete_results": false,
|
| 137 |
+
"pages_scanned": 1,
|
| 138 |
+
"query": "\"continual learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 139 |
+
"query_id": "general.continual-learning",
|
| 140 |
+
"repositories_observed_on_last_page": 100,
|
| 141 |
+
"sampled_first_page": true,
|
| 142 |
+
"search_limit_reached": false,
|
| 143 |
+
"status": "sampled",
|
| 144 |
+
"total_count": 301,
|
| 145 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 181 |
+
"query_id": "llm.foundation-models",
|
| 182 |
+
"repositories_observed_on_last_page": 6,
|
| 183 |
+
"sampled_first_page": true,
|
| 184 |
+
"search_limit_reached": false,
|
| 185 |
+
"status": "complete",
|
| 186 |
+
"total_count": 6,
|
| 187 |
+
"year": 2019
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"coverage_gap": true,
|
| 191 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 192 |
+
"incomplete_results": false,
|
| 193 |
+
"pages_scanned": 1,
|
| 194 |
+
"query": "ECG \"deep learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 195 |
+
"query_id": "medical.ecg",
|
| 196 |
+
"repositories_observed_on_last_page": 100,
|
| 197 |
+
"sampled_first_page": true,
|
| 198 |
+
"search_limit_reached": false,
|
| 199 |
+
"status": "sampled",
|
| 200 |
+
"total_count": 107,
|
| 201 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 209 |
+
"query_id": "multimodal.image-text",
|
| 210 |
+
"repositories_observed_on_last_page": 96,
|
| 211 |
+
"sampled_first_page": true,
|
| 212 |
+
"search_limit_reached": false,
|
| 213 |
+
"status": "complete",
|
| 214 |
+
"total_count": 96,
|
| 215 |
+
"year": 2019
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"coverage_gap": true,
|
| 219 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 220 |
+
"incomplete_results": false,
|
| 221 |
+
"pages_scanned": 1,
|
| 222 |
+
"query": "\"machine translation\" in:description created:2019-01-01..2019-12-31",
|
| 223 |
+
"query_id": "nlp.machine-translation",
|
| 224 |
+
"repositories_observed_on_last_page": 100,
|
| 225 |
+
"sampled_first_page": true,
|
| 226 |
+
"search_limit_reached": false,
|
| 227 |
+
"status": "sampled",
|
| 228 |
+
"total_count": 516,
|
| 229 |
+
"year": 2019
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"coverage_gap": true,
|
| 233 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 234 |
+
"incomplete_results": false,
|
| 235 |
+
"pages_scanned": 1,
|
| 236 |
+
"query": "\"feature selection\" \"machine learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 237 |
+
"query_id": "probable.data-feature-selection",
|
| 238 |
+
"repositories_observed_on_last_page": 100,
|
| 239 |
+
"sampled_first_page": true,
|
| 240 |
+
"search_limit_reached": true,
|
| 241 |
+
"status": "sampled",
|
| 242 |
+
"total_count": 2283,
|
| 243 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 251 |
+
"query_id": "recall.epidemic-forecasting",
|
| 252 |
+
"repositories_observed_on_last_page": 5,
|
| 253 |
+
"sampled_first_page": true,
|
| 254 |
+
"search_limit_reached": false,
|
| 255 |
+
"status": "complete",
|
| 256 |
+
"total_count": 5,
|
| 257 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 265 |
+
"query_id": "recall26.visual-grounding",
|
| 266 |
+
"repositories_observed_on_last_page": 51,
|
| 267 |
+
"sampled_first_page": true,
|
| 268 |
+
"search_limit_reached": false,
|
| 269 |
+
"status": "complete",
|
| 270 |
+
"total_count": 51,
|
| 271 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 279 |
+
"query_id": "rl.games",
|
| 280 |
+
"repositories_observed_on_last_page": 51,
|
| 281 |
+
"sampled_first_page": true,
|
| 282 |
+
"search_limit_reached": false,
|
| 283 |
+
"status": "complete",
|
| 284 |
+
"total_count": 51,
|
| 285 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 293 |
+
"query_id": "robotics.locomotion",
|
| 294 |
+
"repositories_observed_on_last_page": 4,
|
| 295 |
+
"sampled_first_page": true,
|
| 296 |
+
"search_limit_reached": false,
|
| 297 |
+
"status": "complete",
|
| 298 |
+
"total_count": 4,
|
| 299 |
+
"year": 2019
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"coverage_gap": true,
|
| 303 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 304 |
+
"incomplete_results": false,
|
| 305 |
+
"pages_scanned": 1,
|
| 306 |
+
"query": "\"fluid dynamics\" in:description created:2019-01-01..2019-12-31",
|
| 307 |
+
"query_id": "science.fluid-dynamics",
|
| 308 |
+
"repositories_observed_on_last_page": 100,
|
| 309 |
+
"sampled_first_page": true,
|
| 310 |
+
"search_limit_reached": false,
|
| 311 |
+
"status": "sampled",
|
| 312 |
+
"total_count": 103,
|
| 313 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 321 |
+
"query_id": "specialized.event-camera-deep-learning",
|
| 322 |
+
"repositories_observed_on_last_page": 17,
|
| 323 |
+
"sampled_first_page": true,
|
| 324 |
+
"search_limit_reached": false,
|
| 325 |
+
"status": "complete",
|
| 326 |
+
"total_count": 17,
|
| 327 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 335 |
+
"query_id": "timeseries.imputation",
|
| 336 |
+
"repositories_observed_on_last_page": 22,
|
| 337 |
+
"sampled_first_page": true,
|
| 338 |
+
"search_limit_reached": false,
|
| 339 |
+
"status": "complete",
|
| 340 |
+
"total_count": 22,
|
| 341 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 349 |
+
"query_id": "trust.causal-mediation",
|
| 350 |
+
"repositories_observed_on_last_page": 10,
|
| 351 |
+
"sampled_first_page": true,
|
| 352 |
+
"search_limit_reached": false,
|
| 353 |
+
"status": "complete",
|
| 354 |
+
"total_count": 10,
|
| 355 |
+
"year": 2019
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"coverage_gap": true,
|
| 359 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 360 |
+
"incomplete_results": false,
|
| 361 |
+
"pages_scanned": 1,
|
| 362 |
+
"query": "\"image restoration\" in:readme created:2019-01-01..2019-12-31",
|
| 363 |
+
"query_id": "vision.image-restoration",
|
| 364 |
+
"repositories_observed_on_last_page": 100,
|
| 365 |
+
"sampled_first_page": true,
|
| 366 |
+
"search_limit_reached": false,
|
| 367 |
+
"status": "sampled",
|
| 368 |
+
"total_count": 342,
|
| 369 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 377 |
+
"query_id": "applied.customer-lifetime-value",
|
| 378 |
+
"repositories_observed_on_last_page": 35,
|
| 379 |
+
"sampled_first_page": true,
|
| 380 |
+
"search_limit_reached": false,
|
| 381 |
+
"status": "complete",
|
| 382 |
+
"total_count": 35,
|
| 383 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 391 |
+
"query_id": "bio.metagenomics",
|
| 392 |
+
"repositories_observed_on_last_page": 17,
|
| 393 |
+
"sampled_first_page": true,
|
| 394 |
+
"search_limit_reached": false,
|
| 395 |
+
"status": "complete",
|
| 396 |
+
"total_count": 17,
|
| 397 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 405 |
+
"query_id": "efficiency.gpu-kernels",
|
| 406 |
+
"repositories_observed_on_last_page": 12,
|
| 407 |
+
"sampled_first_page": true,
|
| 408 |
+
"search_limit_reached": false,
|
| 409 |
+
"status": "complete",
|
| 410 |
+
"total_count": 12,
|
| 411 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 419 |
+
"query_id": "gap2026.econometrics-double-ml",
|
| 420 |
+
"repositories_observed_on_last_page": 7,
|
| 421 |
+
"sampled_first_page": true,
|
| 422 |
+
"search_limit_reached": false,
|
| 423 |
+
"status": "complete",
|
| 424 |
+
"total_count": 7,
|
| 425 |
+
"year": 2019
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"coverage_gap": true,
|
| 429 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 430 |
+
"incomplete_results": false,
|
| 431 |
+
"pages_scanned": 1,
|
| 432 |
+
"query": "\"contrastive learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 433 |
+
"query_id": "general.contrastive-learning",
|
| 434 |
+
"repositories_observed_on_last_page": 100,
|
| 435 |
+
"sampled_first_page": true,
|
| 436 |
+
"search_limit_reached": false,
|
| 437 |
+
"status": "sampled",
|
| 438 |
+
"total_count": 143,
|
| 439 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 475 |
+
"query_id": "llm.generative-ai",
|
| 476 |
+
"repositories_observed_on_last_page": 16,
|
| 477 |
+
"sampled_first_page": true,
|
| 478 |
+
"search_limit_reached": false,
|
| 479 |
+
"status": "complete",
|
| 480 |
+
"total_count": 16,
|
| 481 |
+
"year": 2019
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"coverage_gap": true,
|
| 485 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 486 |
+
"incomplete_results": false,
|
| 487 |
+
"pages_scanned": 1,
|
| 488 |
+
"query": "EEG \"deep learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 489 |
+
"query_id": "medical.eeg",
|
| 490 |
+
"repositories_observed_on_last_page": 100,
|
| 491 |
+
"sampled_first_page": true,
|
| 492 |
+
"search_limit_reached": false,
|
| 493 |
+
"status": "sampled",
|
| 494 |
+
"total_count": 161,
|
| 495 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 503 |
+
"query_id": "multimodal.image-to-3d",
|
| 504 |
+
"repositories_observed_on_last_page": 35,
|
| 505 |
+
"sampled_first_page": true,
|
| 506 |
+
"search_limit_reached": false,
|
| 507 |
+
"status": "complete",
|
| 508 |
+
"total_count": 35,
|
| 509 |
+
"year": 2019
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"coverage_gap": true,
|
| 513 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 514 |
+
"incomplete_results": false,
|
| 515 |
+
"pages_scanned": 1,
|
| 516 |
+
"query": "\"named entity recognition\" in:readme created:2019-01-01..2019-12-31",
|
| 517 |
+
"query_id": "nlp.named-entity-recognition",
|
| 518 |
+
"repositories_observed_on_last_page": 100,
|
| 519 |
+
"sampled_first_page": true,
|
| 520 |
+
"search_limit_reached": true,
|
| 521 |
+
"status": "sampled",
|
| 522 |
+
"total_count": 1727,
|
| 523 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 531 |
+
"query_id": "probable.data-training-selection",
|
| 532 |
+
"repositories_observed_on_last_page": 50,
|
| 533 |
+
"sampled_first_page": true,
|
| 534 |
+
"search_limit_reached": false,
|
| 535 |
+
"status": "complete",
|
| 536 |
+
"total_count": 50,
|
| 537 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 545 |
+
"query_id": "recall.epidemiological-modeling",
|
| 546 |
+
"repositories_observed_on_last_page": 1,
|
| 547 |
+
"sampled_first_page": true,
|
| 548 |
+
"search_limit_reached": false,
|
| 549 |
+
"status": "complete",
|
| 550 |
+
"total_count": 1,
|
| 551 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 559 |
+
"query_id": "rl.hierarchical",
|
| 560 |
+
"repositories_observed_on_last_page": 19,
|
| 561 |
+
"sampled_first_page": true,
|
| 562 |
+
"search_limit_reached": false,
|
| 563 |
+
"status": "complete",
|
| 564 |
+
"total_count": 19,
|
| 565 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 573 |
+
"query_id": "robotics.manipulation",
|
| 574 |
+
"repositories_observed_on_last_page": 40,
|
| 575 |
+
"sampled_first_page": true,
|
| 576 |
+
"search_limit_reached": false,
|
| 577 |
+
"status": "complete",
|
| 578 |
+
"total_count": 40,
|
| 579 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 615 |
+
"query_id": "timeseries.long-horizon",
|
| 616 |
+
"repositories_observed_on_last_page": 1,
|
| 617 |
+
"sampled_first_page": true,
|
| 618 |
+
"search_limit_reached": false,
|
| 619 |
+
"status": "complete",
|
| 620 |
+
"total_count": 1,
|
| 621 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 629 |
+
"query_id": "trust.causal-ml",
|
| 630 |
+
"repositories_observed_on_last_page": 2,
|
| 631 |
+
"sampled_first_page": true,
|
| 632 |
+
"search_limit_reached": false,
|
| 633 |
+
"status": "complete",
|
| 634 |
+
"total_count": 2,
|
| 635 |
+
"year": 2019
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"coverage_gap": true,
|
| 639 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 640 |
+
"incomplete_results": false,
|
| 641 |
+
"pages_scanned": 1,
|
| 642 |
+
"query": "\"image retrieval\" in:readme created:2019-01-01..2019-12-31",
|
| 643 |
+
"query_id": "vision.image-retrieval",
|
| 644 |
+
"repositories_observed_on_last_page": 100,
|
| 645 |
+
"sampled_first_page": true,
|
| 646 |
+
"search_limit_reached": false,
|
| 647 |
+
"status": "sampled",
|
| 648 |
+
"total_count": 602,
|
| 649 |
+
"year": 2019
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"coverage_gap": true,
|
| 653 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 654 |
+
"incomplete_results": false,
|
| 655 |
+
"pages_scanned": 1,
|
| 656 |
+
"query": "\"customer segmentation\" \"machine learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 657 |
+
"query_id": "applied.customer-segmentation",
|
| 658 |
+
"repositories_observed_on_last_page": 100,
|
| 659 |
+
"sampled_first_page": true,
|
| 660 |
+
"search_limit_reached": false,
|
| 661 |
+
"status": "sampled",
|
| 662 |
+
"total_count": 264,
|
| 663 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 671 |
+
"query_id": "bio.microbiome",
|
| 672 |
+
"repositories_observed_on_last_page": 77,
|
| 673 |
+
"sampled_first_page": true,
|
| 674 |
+
"search_limit_reached": false,
|
| 675 |
+
"status": "complete",
|
| 676 |
+
"total_count": 77,
|
| 677 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 685 |
+
"query_id": "efficiency.gradient-optimization",
|
| 686 |
+
"repositories_observed_on_last_page": 14,
|
| 687 |
+
"sampled_first_page": true,
|
| 688 |
+
"search_limit_reached": false,
|
| 689 |
+
"status": "complete",
|
| 690 |
+
"total_count": 14,
|
| 691 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 699 |
+
"query_id": "gap2026.econometrics-heterogeneous-effects",
|
| 700 |
+
"repositories_observed_on_last_page": 6,
|
| 701 |
+
"sampled_first_page": true,
|
| 702 |
+
"search_limit_reached": false,
|
| 703 |
+
"status": "complete",
|
| 704 |
+
"total_count": 6,
|
| 705 |
+
"year": 2019
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"coverage_gap": true,
|
| 709 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 710 |
+
"incomplete_results": false,
|
| 711 |
+
"pages_scanned": 1,
|
| 712 |
+
"query": "\"decision tree\" \"machine learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 713 |
+
"query_id": "general.decision-trees",
|
| 714 |
+
"repositories_observed_on_last_page": 100,
|
| 715 |
+
"sampled_first_page": true,
|
| 716 |
+
"search_limit_reached": true,
|
| 717 |
+
"status": "sampled",
|
| 718 |
+
"total_count": 6140,
|
| 719 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 727 |
+
"query_id": "geo.geospatial-knowledge-graph",
|
| 728 |
+
"repositories_observed_on_last_page": 1,
|
| 729 |
+
"sampled_first_page": true,
|
| 730 |
+
"search_limit_reached": false,
|
| 731 |
+
"status": "complete",
|
| 732 |
+
"total_count": 1,
|
| 733 |
+
"year": 2019
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"coverage_gap": true,
|
| 737 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 738 |
+
"incomplete_results": false,
|
| 739 |
+
"pages_scanned": 1,
|
| 740 |
+
"query": "\"graph generation\" in:readme created:2019-01-01..2019-12-31",
|
| 741 |
+
"query_id": "graph.graph-generation",
|
| 742 |
+
"repositories_observed_on_last_page": 100,
|
| 743 |
+
"sampled_first_page": true,
|
| 744 |
+
"search_limit_reached": false,
|
| 745 |
+
"status": "sampled",
|
| 746 |
+
"total_count": 385,
|
| 747 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 755 |
+
"query_id": "llm.instruction-tuning",
|
| 756 |
+
"repositories_observed_on_last_page": 14,
|
| 757 |
+
"sampled_first_page": true,
|
| 758 |
+
"search_limit_reached": false,
|
| 759 |
+
"status": "complete",
|
| 760 |
+
"total_count": 14,
|
| 761 |
+
"year": 2019
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"coverage_gap": true,
|
| 765 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 766 |
+
"incomplete_results": false,
|
| 767 |
+
"pages_scanned": 1,
|
| 768 |
+
"query": "\"electronic health record\" in:readme created:2019-01-01..2019-12-31",
|
| 769 |
+
"query_id": "medical.ehr",
|
| 770 |
+
"repositories_observed_on_last_page": 100,
|
| 771 |
+
"sampled_first_page": true,
|
| 772 |
+
"search_limit_reached": false,
|
| 773 |
+
"status": "sampled",
|
| 774 |
+
"total_count": 363,
|
| 775 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 783 |
+
"query_id": "multimodal.image-to-video",
|
| 784 |
+
"repositories_observed_on_last_page": 96,
|
| 785 |
+
"sampled_first_page": true,
|
| 786 |
+
"search_limit_reached": false,
|
| 787 |
+
"status": "complete",
|
| 788 |
+
"total_count": 96,
|
| 789 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 811 |
+
"query_id": "probable.evaluation-ml-benchmark",
|
| 812 |
+
"repositories_observed_on_last_page": 39,
|
| 813 |
+
"sampled_first_page": true,
|
| 814 |
+
"search_limit_reached": false,
|
| 815 |
+
"status": "complete",
|
| 816 |
+
"total_count": 39,
|
| 817 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 825 |
+
"query_id": "recall.grid-stability-prediction",
|
| 826 |
+
"repositories_observed_on_last_page": 2,
|
| 827 |
+
"sampled_first_page": true,
|
| 828 |
+
"search_limit_reached": false,
|
| 829 |
+
"status": "complete",
|
| 830 |
+
"total_count": 2,
|
| 831 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 839 |
+
"query_id": "rl.imitation-learning",
|
| 840 |
+
"repositories_observed_on_last_page": 89,
|
| 841 |
+
"sampled_first_page": true,
|
| 842 |
+
"search_limit_reached": false,
|
| 843 |
+
"status": "complete",
|
| 844 |
+
"total_count": 89,
|
| 845 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 853 |
+
"query_id": "robotics.navigation",
|
| 854 |
+
"repositories_observed_on_last_page": 72,
|
| 855 |
+
"sampled_first_page": true,
|
| 856 |
+
"search_limit_reached": false,
|
| 857 |
+
"status": "complete",
|
| 858 |
+
"total_count": 72,
|
| 859 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 867 |
+
"query_id": "science.gravitational-waves",
|
| 868 |
+
"repositories_observed_on_last_page": 33,
|
| 869 |
+
"sampled_first_page": true,
|
| 870 |
+
"search_limit_reached": false,
|
| 871 |
+
"status": "complete",
|
| 872 |
+
"total_count": 33,
|
| 873 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 881 |
+
"query_id": "specialized.machine-unlearning",
|
| 882 |
+
"repositories_observed_on_last_page": 10,
|
| 883 |
+
"sampled_first_page": true,
|
| 884 |
+
"search_limit_reached": false,
|
| 885 |
+
"status": "complete",
|
| 886 |
+
"total_count": 10,
|
| 887 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 895 |
+
"query_id": "timeseries.multivariate",
|
| 896 |
+
"repositories_observed_on_last_page": 92,
|
| 897 |
+
"sampled_first_page": true,
|
| 898 |
+
"search_limit_reached": false,
|
| 899 |
+
"status": "complete",
|
| 900 |
+
"total_count": 92,
|
| 901 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"coverage_gap": true,
|
| 919 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 920 |
+
"incomplete_results": false,
|
| 921 |
+
"pages_scanned": 1,
|
| 922 |
+
"query": "\"image super-resolution\" in:readme created:2019-01-01..2019-12-31",
|
| 923 |
+
"query_id": "vision.image-super-resolution",
|
| 924 |
+
"repositories_observed_on_last_page": 100,
|
| 925 |
+
"sampled_first_page": true,
|
| 926 |
+
"search_limit_reached": false,
|
| 927 |
+
"status": "sampled",
|
| 928 |
+
"total_count": 735,
|
| 929 |
+
"year": 2019
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"coverage_gap": true,
|
| 933 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 934 |
+
"incomplete_results": false,
|
| 935 |
+
"pages_scanned": 1,
|
| 936 |
+
"query": "\"machine learning\" cybersecurity in:description,readme created:2019-01-01..2019-12-31",
|
| 937 |
+
"query_id": "applied.cybersecurity-ml",
|
| 938 |
+
"repositories_observed_on_last_page": 100,
|
| 939 |
+
"sampled_first_page": true,
|
| 940 |
+
"search_limit_reached": false,
|
| 941 |
+
"status": "sampled",
|
| 942 |
+
"total_count": 283,
|
| 943 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 951 |
+
"query_id": "bio.microscopy-cell-analysis",
|
| 952 |
+
"repositories_observed_on_last_page": 32,
|
| 953 |
+
"sampled_first_page": true,
|
| 954 |
+
"search_limit_reached": false,
|
| 955 |
+
"status": "complete",
|
| 956 |
+
"total_count": 32,
|
| 957 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 965 |
+
"query_id": "efficiency.hyperparameter-optimization",
|
| 966 |
+
"repositories_observed_on_last_page": 83,
|
| 967 |
+
"sampled_first_page": true,
|
| 968 |
+
"search_limit_reached": false,
|
| 969 |
+
"status": "complete",
|
| 970 |
+
"total_count": 83,
|
| 971 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 979 |
+
"query_id": "gap2026.econometrics-policy-learning",
|
| 980 |
+
"repositories_observed_on_last_page": 5,
|
| 981 |
+
"sampled_first_page": true,
|
| 982 |
+
"search_limit_reached": false,
|
| 983 |
+
"status": "complete",
|
| 984 |
+
"total_count": 5,
|
| 985 |
+
"year": 2019
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"coverage_gap": true,
|
| 989 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 990 |
+
"incomplete_results": false,
|
| 991 |
+
"pages_scanned": 1,
|
| 992 |
+
"query": "\"deep learning\" in:description created:2019-01-01..2019-12-31",
|
| 993 |
+
"query_id": "general.deep-learning-description",
|
| 994 |
+
"repositories_observed_on_last_page": 100,
|
| 995 |
+
"sampled_first_page": true,
|
| 996 |
+
"search_limit_reached": true,
|
| 997 |
+
"status": "sampled",
|
| 998 |
+
"total_count": 15599,
|
| 999 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1007 |
+
"query_id": "geo.hydrology",
|
| 1008 |
+
"repositories_observed_on_last_page": 1,
|
| 1009 |
+
"sampled_first_page": true,
|
| 1010 |
+
"search_limit_reached": false,
|
| 1011 |
+
"status": "complete",
|
| 1012 |
+
"total_count": 1,
|
| 1013 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1021 |
+
"query_id": "graph.graph-transformer",
|
| 1022 |
+
"repositories_observed_on_last_page": 10,
|
| 1023 |
+
"sampled_first_page": true,
|
| 1024 |
+
"search_limit_reached": false,
|
| 1025 |
+
"status": "complete",
|
| 1026 |
+
"total_count": 10,
|
| 1027 |
+
"year": 2019
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"coverage_gap": true,
|
| 1031 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1032 |
+
"incomplete_results": false,
|
| 1033 |
+
"pages_scanned": 1,
|
| 1034 |
+
"query": "\"language model\" in:description created:2019-01-01..2019-12-31",
|
| 1035 |
+
"query_id": "llm.language-model",
|
| 1036 |
+
"repositories_observed_on_last_page": 100,
|
| 1037 |
+
"sampled_first_page": true,
|
| 1038 |
+
"search_limit_reached": false,
|
| 1039 |
+
"status": "sampled",
|
| 1040 |
+
"total_count": 733,
|
| 1041 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1049 |
+
"query_id": "medical.genomics",
|
| 1050 |
+
"repositories_observed_on_last_page": 31,
|
| 1051 |
+
"sampled_first_page": true,
|
| 1052 |
+
"search_limit_reached": false,
|
| 1053 |
+
"status": "complete",
|
| 1054 |
+
"total_count": 31,
|
| 1055 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1063 |
+
"query_id": "multimodal.motion-generation",
|
| 1064 |
+
"repositories_observed_on_last_page": 6,
|
| 1065 |
+
"sampled_first_page": true,
|
| 1066 |
+
"search_limit_reached": false,
|
| 1067 |
+
"status": "complete",
|
| 1068 |
+
"total_count": 6,
|
| 1069 |
+
"year": 2019
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"coverage_gap": true,
|
| 1073 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1074 |
+
"incomplete_results": false,
|
| 1075 |
+
"pages_scanned": 1,
|
| 1076 |
+
"query": "\"question answering\" in:description created:2019-01-01..2019-12-31",
|
| 1077 |
+
"query_id": "nlp.question-answering",
|
| 1078 |
+
"repositories_observed_on_last_page": 100,
|
| 1079 |
+
"sampled_first_page": true,
|
| 1080 |
+
"search_limit_reached": false,
|
| 1081 |
+
"status": "sampled",
|
| 1082 |
+
"total_count": 968,
|
| 1083 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1091 |
+
"query_id": "probable.evaluation-model-calibration-readme",
|
| 1092 |
+
"repositories_observed_on_last_page": 21,
|
| 1093 |
+
"sampled_first_page": true,
|
| 1094 |
+
"search_limit_reached": false,
|
| 1095 |
+
"status": "complete",
|
| 1096 |
+
"total_count": 21,
|
| 1097 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1119 |
+
"query_id": "rl.inverse",
|
| 1120 |
+
"repositories_observed_on_last_page": 26,
|
| 1121 |
+
"sampled_first_page": true,
|
| 1122 |
+
"search_limit_reached": false,
|
| 1123 |
+
"status": "complete",
|
| 1124 |
+
"total_count": 26,
|
| 1125 |
+
"year": 2019
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"coverage_gap": true,
|
| 1129 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1130 |
+
"incomplete_results": false,
|
| 1131 |
+
"pages_scanned": 1,
|
| 1132 |
+
"query": "\"robot control\" in:description created:2019-01-01..2019-12-31",
|
| 1133 |
+
"query_id": "robotics.robot-control",
|
| 1134 |
+
"repositories_observed_on_last_page": 100,
|
| 1135 |
+
"sampled_first_page": true,
|
| 1136 |
+
"search_limit_reached": false,
|
| 1137 |
+
"status": "sampled",
|
| 1138 |
+
"total_count": 180,
|
| 1139 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1147 |
+
"query_id": "science.inverse-problems",
|
| 1148 |
+
"repositories_observed_on_last_page": 61,
|
| 1149 |
+
"sampled_first_page": true,
|
| 1150 |
+
"search_limit_reached": false,
|
| 1151 |
+
"status": "complete",
|
| 1152 |
+
"total_count": 61,
|
| 1153 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1161 |
+
"query_id": "specialized.mechanistic-interpretability",
|
| 1162 |
+
"repositories_observed_on_last_page": 6,
|
| 1163 |
+
"sampled_first_page": true,
|
| 1164 |
+
"search_limit_reached": false,
|
| 1165 |
+
"status": "complete",
|
| 1166 |
+
"total_count": 6,
|
| 1167 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1175 |
+
"query_id": "timeseries.nbeats",
|
| 1176 |
+
"repositories_observed_on_last_page": 8,
|
| 1177 |
+
"sampled_first_page": true,
|
| 1178 |
+
"search_limit_reached": false,
|
| 1179 |
+
"status": "complete",
|
| 1180 |
+
"total_count": 8,
|
| 1181 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1189 |
+
"query_id": "trust.conformal-prediction",
|
| 1190 |
+
"repositories_observed_on_last_page": 8,
|
| 1191 |
+
"sampled_first_page": true,
|
| 1192 |
+
"search_limit_reached": false,
|
| 1193 |
+
"status": "complete",
|
| 1194 |
+
"total_count": 8,
|
| 1195 |
+
"year": 2019
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"coverage_gap": true,
|
| 1199 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1200 |
+
"incomplete_results": false,
|
| 1201 |
+
"pages_scanned": 1,
|
| 1202 |
+
"query": "\"image-to-image translation\" in:readme created:2019-01-01..2019-12-31",
|
| 1203 |
+
"query_id": "vision.image-to-image-translation",
|
| 1204 |
+
"repositories_observed_on_last_page": 100,
|
| 1205 |
+
"sampled_first_page": true,
|
| 1206 |
+
"search_limit_reached": false,
|
| 1207 |
+
"status": "sampled",
|
| 1208 |
+
"total_count": 738,
|
| 1209 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1217 |
+
"query_id": "applied.demand-forecasting",
|
| 1218 |
+
"repositories_observed_on_last_page": 81,
|
| 1219 |
+
"sampled_first_page": true,
|
| 1220 |
+
"search_limit_reached": false,
|
| 1221 |
+
"status": "complete",
|
| 1222 |
+
"total_count": 81,
|
| 1223 |
+
"year": 2019
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"coverage_gap": true,
|
| 1227 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1228 |
+
"incomplete_results": false,
|
| 1229 |
+
"pages_scanned": 1,
|
| 1230 |
+
"query": "\"molecular dynamics\" in:description created:2019-01-01..2019-12-31",
|
| 1231 |
+
"query_id": "bio.molecular-dynamics",
|
| 1232 |
+
"repositories_observed_on_last_page": 100,
|
| 1233 |
+
"sampled_first_page": true,
|
| 1234 |
+
"search_limit_reached": false,
|
| 1235 |
+
"status": "sampled",
|
| 1236 |
+
"total_count": 261,
|
| 1237 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1245 |
+
"query_id": "efficiency.inference-systems",
|
| 1246 |
+
"repositories_observed_on_last_page": 81,
|
| 1247 |
+
"sampled_first_page": true,
|
| 1248 |
+
"search_limit_reached": false,
|
| 1249 |
+
"status": "complete",
|
| 1250 |
+
"total_count": 81,
|
| 1251 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"coverage_gap": true,
|
| 1269 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1270 |
+
"incomplete_results": false,
|
| 1271 |
+
"pages_scanned": 1,
|
| 1272 |
+
"query": "\"deep learning\" in:readme created:2019-01-01..2019-12-31",
|
| 1273 |
+
"query_id": "general.deep-learning-readme",
|
| 1274 |
+
"repositories_observed_on_last_page": 100,
|
| 1275 |
+
"sampled_first_page": true,
|
| 1276 |
+
"search_limit_reached": true,
|
| 1277 |
+
"status": "sampled",
|
| 1278 |
+
"total_count": 41611,
|
| 1279 |
+
"year": 2019
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"coverage_gap": true,
|
| 1283 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1284 |
+
"incomplete_results": false,
|
| 1285 |
+
"pages_scanned": 1,
|
| 1286 |
+
"query": "\"land cover\" in:readme created:2019-01-01..2019-12-31",
|
| 1287 |
+
"query_id": "geo.land-cover",
|
| 1288 |
+
"repositories_observed_on_last_page": 100,
|
| 1289 |
+
"sampled_first_page": true,
|
| 1290 |
+
"search_limit_reached": false,
|
| 1291 |
+
"status": "sampled",
|
| 1292 |
+
"total_count": 427,
|
| 1293 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1301 |
+
"query_id": "graph.hypergraph-neural-network",
|
| 1302 |
+
"repositories_observed_on_last_page": 2,
|
| 1303 |
+
"sampled_first_page": true,
|
| 1304 |
+
"search_limit_reached": false,
|
| 1305 |
+
"status": "complete",
|
| 1306 |
+
"total_count": 2,
|
| 1307 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1315 |
+
"query_id": "llm.language-models",
|
| 1316 |
+
"repositories_observed_on_last_page": 17,
|
| 1317 |
+
"sampled_first_page": true,
|
| 1318 |
+
"search_limit_reached": false,
|
| 1319 |
+
"status": "complete",
|
| 1320 |
+
"total_count": 17,
|
| 1321 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1329 |
+
"query_id": "medical.histopathology",
|
| 1330 |
+
"repositories_observed_on_last_page": 8,
|
| 1331 |
+
"sampled_first_page": true,
|
| 1332 |
+
"search_limit_reached": false,
|
| 1333 |
+
"status": "complete",
|
| 1334 |
+
"total_count": 8,
|
| 1335 |
+
"year": 2019
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"coverage_gap": false,
|
| 1339 |
+
"coverage_gap_reason": null,
|
| 1340 |
+
"incomplete_results": false,
|
| 1341 |
+
"pages_scanned": 1,
|
| 1342 |
+
"query": "topic:nerf created:2019-01-01..2019-12-31",
|
| 1343 |
+
"query_id": "multimodal.nerf",
|
| 1344 |
+
"repositories_observed_on_last_page": 2,
|
| 1345 |
+
"sampled_first_page": true,
|
| 1346 |
+
"search_limit_reached": false,
|
| 1347 |
+
"status": "complete",
|
| 1348 |
+
"total_count": 2,
|
| 1349 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1371 |
+
"query_id": "probable.evaluation-ood-readme",
|
| 1372 |
+
"repositories_observed_on_last_page": 56,
|
| 1373 |
+
"sampled_first_page": true,
|
| 1374 |
+
"search_limit_reached": false,
|
| 1375 |
+
"status": "complete",
|
| 1376 |
+
"total_count": 56,
|
| 1377 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1385 |
+
"query_id": "recall.infrastructure-damage-detection",
|
| 1386 |
+
"repositories_observed_on_last_page": 1,
|
| 1387 |
+
"sampled_first_page": true,
|
| 1388 |
+
"search_limit_reached": false,
|
| 1389 |
+
"status": "complete",
|
| 1390 |
+
"total_count": 1,
|
| 1391 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1399 |
+
"query_id": "rl.model-based",
|
| 1400 |
+
"repositories_observed_on_last_page": 22,
|
| 1401 |
+
"sampled_first_page": true,
|
| 1402 |
+
"search_limit_reached": false,
|
| 1403 |
+
"status": "complete",
|
| 1404 |
+
"total_count": 22,
|
| 1405 |
+
"year": 2019
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"coverage_gap": true,
|
| 1409 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1410 |
+
"incomplete_results": false,
|
| 1411 |
+
"pages_scanned": 1,
|
| 1412 |
+
"query": "robot foundation model in:description,readme created:2019-01-01..2019-12-31",
|
| 1413 |
+
"query_id": "robotics.robot-foundation-model",
|
| 1414 |
+
"repositories_observed_on_last_page": 100,
|
| 1415 |
+
"sampled_first_page": true,
|
| 1416 |
+
"search_limit_reached": false,
|
| 1417 |
+
"status": "sampled",
|
| 1418 |
+
"total_count": 407,
|
| 1419 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1427 |
+
"query_id": "science.neural-operators",
|
| 1428 |
+
"repositories_observed_on_last_page": 1,
|
| 1429 |
+
"sampled_first_page": true,
|
| 1430 |
+
"search_limit_reached": false,
|
| 1431 |
+
"status": "complete",
|
| 1432 |
+
"total_count": 1,
|
| 1433 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1441 |
+
"query_id": "specialized.medical-image-registration-deep-learning",
|
| 1442 |
+
"repositories_observed_on_last_page": 20,
|
| 1443 |
+
"sampled_first_page": true,
|
| 1444 |
+
"search_limit_reached": false,
|
| 1445 |
+
"status": "complete",
|
| 1446 |
+
"total_count": 20,
|
| 1447 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1469 |
+
"query_id": "trust.counterfactual-explanations",
|
| 1470 |
+
"repositories_observed_on_last_page": 8,
|
| 1471 |
+
"sampled_first_page": true,
|
| 1472 |
+
"search_limit_reached": false,
|
| 1473 |
+
"status": "complete",
|
| 1474 |
+
"total_count": 8,
|
| 1475 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1483 |
+
"query_id": "vision.neural-rendering",
|
| 1484 |
+
"repositories_observed_on_last_page": 2,
|
| 1485 |
+
"sampled_first_page": true,
|
| 1486 |
+
"search_limit_reached": false,
|
| 1487 |
+
"status": "complete",
|
| 1488 |
+
"total_count": 2,
|
| 1489 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1497 |
+
"query_id": "applied.dynamic-pricing",
|
| 1498 |
+
"repositories_observed_on_last_page": 29,
|
| 1499 |
+
"sampled_first_page": true,
|
| 1500 |
+
"search_limit_reached": false,
|
| 1501 |
+
"status": "complete",
|
| 1502 |
+
"total_count": 29,
|
| 1503 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1511 |
+
"query_id": "bio.molecular-force-fields",
|
| 1512 |
+
"repositories_observed_on_last_page": 2,
|
| 1513 |
+
"sampled_first_page": true,
|
| 1514 |
+
"search_limit_reached": false,
|
| 1515 |
+
"status": "complete",
|
| 1516 |
+
"total_count": 2,
|
| 1517 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1525 |
+
"query_id": "efficiency.knowledge-distillation",
|
| 1526 |
+
"repositories_observed_on_last_page": 68,
|
| 1527 |
+
"sampled_first_page": true,
|
| 1528 |
+
"search_limit_reached": false,
|
| 1529 |
+
"status": "complete",
|
| 1530 |
+
"total_count": 68,
|
| 1531 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1539 |
+
"query_id": "gap2026.forecasting-hierarchical",
|
| 1540 |
+
"repositories_observed_on_last_page": 2,
|
| 1541 |
+
"sampled_first_page": true,
|
| 1542 |
+
"search_limit_reached": false,
|
| 1543 |
+
"status": "complete",
|
| 1544 |
+
"total_count": 2,
|
| 1545 |
+
"year": 2019
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"coverage_gap": true,
|
| 1549 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1550 |
+
"incomplete_results": false,
|
| 1551 |
+
"pages_scanned": 1,
|
| 1552 |
+
"query": "\"dimensionality reduction\" in:description,readme created:2019-01-01..2019-12-31",
|
| 1553 |
+
"query_id": "general.dimensionality-reduction",
|
| 1554 |
+
"repositories_observed_on_last_page": 100,
|
| 1555 |
+
"sampled_first_page": true,
|
| 1556 |
+
"search_limit_reached": true,
|
| 1557 |
+
"status": "sampled",
|
| 1558 |
+
"total_count": 4671,
|
| 1559 |
+
"year": 2019
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"coverage_gap": true,
|
| 1563 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1564 |
+
"incomplete_results": false,
|
| 1565 |
+
"pages_scanned": 1,
|
| 1566 |
+
"query": "\"land use\" in:readme created:2019-01-01..2019-12-31",
|
| 1567 |
+
"query_id": "geo.land-use",
|
| 1568 |
+
"repositories_observed_on_last_page": 100,
|
| 1569 |
+
"sampled_first_page": true,
|
| 1570 |
+
"search_limit_reached": true,
|
| 1571 |
+
"status": "sampled",
|
| 1572 |
+
"total_count": 1255,
|
| 1573 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1581 |
+
"query_id": "graph.knowledge-graph-embedding",
|
| 1582 |
+
"repositories_observed_on_last_page": 45,
|
| 1583 |
+
"sampled_first_page": true,
|
| 1584 |
+
"search_limit_reached": false,
|
| 1585 |
+
"status": "complete",
|
| 1586 |
+
"total_count": 45,
|
| 1587 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1595 |
+
"query_id": "llm.large-language-model",
|
| 1596 |
+
"repositories_observed_on_last_page": 5,
|
| 1597 |
+
"sampled_first_page": true,
|
| 1598 |
+
"search_limit_reached": false,
|
| 1599 |
+
"status": "complete",
|
| 1600 |
+
"total_count": 5,
|
| 1601 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1609 |
+
"query_id": "medical.medical-image-reconstruction",
|
| 1610 |
+
"repositories_observed_on_last_page": 89,
|
| 1611 |
+
"sampled_first_page": true,
|
| 1612 |
+
"search_limit_reached": false,
|
| 1613 |
+
"status": "complete",
|
| 1614 |
+
"total_count": 89,
|
| 1615 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1637 |
+
"query_id": "nlp.semantic-search",
|
| 1638 |
+
"repositories_observed_on_last_page": 40,
|
| 1639 |
+
"sampled_first_page": true,
|
| 1640 |
+
"search_limit_reached": false,
|
| 1641 |
+
"status": "complete",
|
| 1642 |
+
"total_count": 40,
|
| 1643 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1651 |
+
"query_id": "probable.scientific-data-assimilation",
|
| 1652 |
+
"repositories_observed_on_last_page": 19,
|
| 1653 |
+
"sampled_first_page": true,
|
| 1654 |
+
"search_limit_reached": false,
|
| 1655 |
+
"status": "complete",
|
| 1656 |
+
"total_count": 19,
|
| 1657 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1665 |
+
"query_id": "recall.insurance-risk-modeling",
|
| 1666 |
+
"repositories_observed_on_last_page": 16,
|
| 1667 |
+
"sampled_first_page": true,
|
| 1668 |
+
"search_limit_reached": false,
|
| 1669 |
+
"status": "complete",
|
| 1670 |
+
"total_count": 16,
|
| 1671 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1679 |
+
"query_id": "rl.model-free",
|
| 1680 |
+
"repositories_observed_on_last_page": 10,
|
| 1681 |
+
"sampled_first_page": true,
|
| 1682 |
+
"search_limit_reached": false,
|
| 1683 |
+
"status": "complete",
|
| 1684 |
+
"total_count": 10,
|
| 1685 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1693 |
+
"query_id": "robotics.robot-learning",
|
| 1694 |
+
"repositories_observed_on_last_page": 38,
|
| 1695 |
+
"sampled_first_page": true,
|
| 1696 |
+
"search_limit_reached": false,
|
| 1697 |
+
"status": "complete",
|
| 1698 |
+
"total_count": 38,
|
| 1699 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1707 |
+
"query_id": "science.ocean-modeling",
|
| 1708 |
+
"repositories_observed_on_last_page": 8,
|
| 1709 |
+
"sampled_first_page": true,
|
| 1710 |
+
"search_limit_reached": false,
|
| 1711 |
+
"status": "complete",
|
| 1712 |
+
"total_count": 8,
|
| 1713 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1721 |
+
"query_id": "specialized.pathology-foundation-model",
|
| 1722 |
+
"repositories_observed_on_last_page": 1,
|
| 1723 |
+
"sampled_first_page": true,
|
| 1724 |
+
"search_limit_reached": false,
|
| 1725 |
+
"status": "complete",
|
| 1726 |
+
"total_count": 1,
|
| 1727 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1735 |
+
"query_id": "timeseries.predictive-maintenance",
|
| 1736 |
+
"repositories_observed_on_last_page": 92,
|
| 1737 |
+
"sampled_first_page": true,
|
| 1738 |
+
"search_limit_reached": false,
|
| 1739 |
+
"status": "complete",
|
| 1740 |
+
"total_count": 92,
|
| 1741 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1749 |
+
"query_id": "trust.differential-privacy",
|
| 1750 |
+
"repositories_observed_on_last_page": 95,
|
| 1751 |
+
"sampled_first_page": true,
|
| 1752 |
+
"search_limit_reached": false,
|
| 1753 |
+
"status": "complete",
|
| 1754 |
+
"total_count": 95,
|
| 1755 |
+
"year": 2019
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"coverage_gap": true,
|
| 1759 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1760 |
+
"incomplete_results": false,
|
| 1761 |
+
"pages_scanned": 1,
|
| 1762 |
+
"query": "\"object detection\" in:description created:2019-01-01..2019-12-31",
|
| 1763 |
+
"query_id": "vision.object-detection",
|
| 1764 |
+
"repositories_observed_on_last_page": 100,
|
| 1765 |
+
"sampled_first_page": true,
|
| 1766 |
+
"search_limit_reached": true,
|
| 1767 |
+
"status": "sampled",
|
| 1768 |
+
"total_count": 2798,
|
| 1769 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1777 |
+
"query_id": "applied.ecological-forecasting",
|
| 1778 |
+
"repositories_observed_on_last_page": 2,
|
| 1779 |
+
"sampled_first_page": true,
|
| 1780 |
+
"search_limit_reached": false,
|
| 1781 |
+
"status": "complete",
|
| 1782 |
+
"total_count": 2,
|
| 1783 |
+
"year": 2019
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"coverage_gap": true,
|
| 1787 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1788 |
+
"incomplete_results": false,
|
| 1789 |
+
"pages_scanned": 1,
|
| 1790 |
+
"query": "\"phylogenetics\" in:description created:2019-01-01..2019-12-31",
|
| 1791 |
+
"query_id": "bio.phylogenetics",
|
| 1792 |
+
"repositories_observed_on_last_page": 100,
|
| 1793 |
+
"sampled_first_page": true,
|
| 1794 |
+
"search_limit_reached": false,
|
| 1795 |
+
"status": "sampled",
|
| 1796 |
+
"total_count": 312,
|
| 1797 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1805 |
+
"query_id": "efficiency.kv-cache",
|
| 1806 |
+
"repositories_observed_on_last_page": 4,
|
| 1807 |
+
"sampled_first_page": true,
|
| 1808 |
+
"search_limit_reached": false,
|
| 1809 |
+
"status": "complete",
|
| 1810 |
+
"total_count": 4,
|
| 1811 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"coverage_gap": true,
|
| 1829 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1830 |
+
"incomplete_results": false,
|
| 1831 |
+
"pages_scanned": 1,
|
| 1832 |
+
"query": "\"domain adaptation\" \"machine learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 1833 |
+
"query_id": "general.domain-adaptation",
|
| 1834 |
+
"repositories_observed_on_last_page": 100,
|
| 1835 |
+
"sampled_first_page": true,
|
| 1836 |
+
"search_limit_reached": false,
|
| 1837 |
+
"status": "sampled",
|
| 1838 |
+
"total_count": 199,
|
| 1839 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1847 |
+
"query_id": "geo.lidar",
|
| 1848 |
+
"repositories_observed_on_last_page": 4,
|
| 1849 |
+
"sampled_first_page": true,
|
| 1850 |
+
"search_limit_reached": false,
|
| 1851 |
+
"status": "complete",
|
| 1852 |
+
"total_count": 4,
|
| 1853 |
+
"year": 2019
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"coverage_gap": true,
|
| 1857 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1858 |
+
"incomplete_results": false,
|
| 1859 |
+
"pages_scanned": 1,
|
| 1860 |
+
"query": "topic:knowledge-graph created:2019-01-01..2019-12-31",
|
| 1861 |
+
"query_id": "graph.knowledge-graphs",
|
| 1862 |
+
"repositories_observed_on_last_page": 100,
|
| 1863 |
+
"sampled_first_page": true,
|
| 1864 |
+
"search_limit_reached": false,
|
| 1865 |
+
"status": "sampled",
|
| 1866 |
+
"total_count": 220,
|
| 1867 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1875 |
+
"query_id": "llm.long-context",
|
| 1876 |
+
"repositories_observed_on_last_page": 50,
|
| 1877 |
+
"sampled_first_page": true,
|
| 1878 |
+
"search_limit_reached": false,
|
| 1879 |
+
"status": "complete",
|
| 1880 |
+
"total_count": 50,
|
| 1881 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1889 |
+
"query_id": "medical.medical-image-registration",
|
| 1890 |
+
"repositories_observed_on_last_page": 46,
|
| 1891 |
+
"sampled_first_page": true,
|
| 1892 |
+
"search_limit_reached": false,
|
| 1893 |
+
"status": "complete",
|
| 1894 |
+
"total_count": 46,
|
| 1895 |
+
"year": 2019
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"coverage_gap": true,
|
| 1899 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1900 |
+
"incomplete_results": false,
|
| 1901 |
+
"pages_scanned": 1,
|
| 1902 |
+
"query": "\"point cloud\" in:description created:2019-01-01..2019-12-31",
|
| 1903 |
+
"query_id": "multimodal.point-cloud",
|
| 1904 |
+
"repositories_observed_on_last_page": 100,
|
| 1905 |
+
"sampled_first_page": true,
|
| 1906 |
+
"search_limit_reached": false,
|
| 1907 |
+
"status": "sampled",
|
| 1908 |
+
"total_count": 826,
|
| 1909 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1917 |
+
"query_id": "nlp.sentence-embeddings",
|
| 1918 |
+
"repositories_observed_on_last_page": 66,
|
| 1919 |
+
"sampled_first_page": true,
|
| 1920 |
+
"search_limit_reached": false,
|
| 1921 |
+
"status": "complete",
|
| 1922 |
+
"total_count": 66,
|
| 1923 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1931 |
+
"query_id": "probable.scientific-reduced-order-modeling",
|
| 1932 |
+
"repositories_observed_on_last_page": 10,
|
| 1933 |
+
"sampled_first_page": true,
|
| 1934 |
+
"search_limit_reached": false,
|
| 1935 |
+
"status": "complete",
|
| 1936 |
+
"total_count": 10,
|
| 1937 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1945 |
+
"query_id": "recall.legal-document-classification",
|
| 1946 |
+
"repositories_observed_on_last_page": 3,
|
| 1947 |
+
"sampled_first_page": true,
|
| 1948 |
+
"search_limit_reached": false,
|
| 1949 |
+
"status": "complete",
|
| 1950 |
+
"total_count": 3,
|
| 1951 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1959 |
+
"query_id": "rl.multiagent",
|
| 1960 |
+
"repositories_observed_on_last_page": 83,
|
| 1961 |
+
"sampled_first_page": true,
|
| 1962 |
+
"search_limit_reached": false,
|
| 1963 |
+
"status": "complete",
|
| 1964 |
+
"total_count": 83,
|
| 1965 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1973 |
+
"query_id": "robotics.robot-manipulation-learning",
|
| 1974 |
+
"repositories_observed_on_last_page": 2,
|
| 1975 |
+
"sampled_first_page": true,
|
| 1976 |
+
"search_limit_reached": false,
|
| 1977 |
+
"status": "complete",
|
| 1978 |
+
"total_count": 2,
|
| 1979 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 1987 |
+
"query_id": "science.particle-physics",
|
| 1988 |
+
"repositories_observed_on_last_page": 63,
|
| 1989 |
+
"sampled_first_page": true,
|
| 1990 |
+
"search_limit_reached": false,
|
| 1991 |
+
"status": "complete",
|
| 1992 |
+
"total_count": 63,
|
| 1993 |
+
"year": 2019
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"coverage_gap": true,
|
| 1997 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1998 |
+
"incomplete_results": false,
|
| 1999 |
+
"pages_scanned": 1,
|
| 2000 |
+
"query": "\"spiking neural network\" in:description,readme created:2019-01-01..2019-12-31",
|
| 2001 |
+
"query_id": "specialized.spiking-neural-network",
|
| 2002 |
+
"repositories_observed_on_last_page": 100,
|
| 2003 |
+
"sampled_first_page": true,
|
| 2004 |
+
"search_limit_reached": false,
|
| 2005 |
+
"status": "sampled",
|
| 2006 |
+
"total_count": 281,
|
| 2007 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2015 |
+
"query_id": "timeseries.probabilistic-forecasting",
|
| 2016 |
+
"repositories_observed_on_last_page": 68,
|
| 2017 |
+
"sampled_first_page": true,
|
| 2018 |
+
"search_limit_reached": false,
|
| 2019 |
+
"status": "complete",
|
| 2020 |
+
"total_count": 68,
|
| 2021 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2029 |
+
"query_id": "trust.distribution-shift",
|
| 2030 |
+
"repositories_observed_on_last_page": 5,
|
| 2031 |
+
"sampled_first_page": true,
|
| 2032 |
+
"search_limit_reached": false,
|
| 2033 |
+
"status": "complete",
|
| 2034 |
+
"total_count": 5,
|
| 2035 |
+
"year": 2019
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"coverage_gap": true,
|
| 2039 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2040 |
+
"incomplete_results": false,
|
| 2041 |
+
"pages_scanned": 1,
|
| 2042 |
+
"query": "\"object tracking\" in:readme created:2019-01-01..2019-12-31",
|
| 2043 |
+
"query_id": "vision.object-tracking",
|
| 2044 |
+
"repositories_observed_on_last_page": 100,
|
| 2045 |
+
"sampled_first_page": true,
|
| 2046 |
+
"search_limit_reached": true,
|
| 2047 |
+
"status": "sampled",
|
| 2048 |
+
"total_count": 1560,
|
| 2049 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2057 |
+
"query_id": "applied.educational-data-mining",
|
| 2058 |
+
"repositories_observed_on_last_page": 43,
|
| 2059 |
+
"sampled_first_page": true,
|
| 2060 |
+
"search_limit_reached": false,
|
| 2061 |
+
"status": "complete",
|
| 2062 |
+
"total_count": 43,
|
| 2063 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2071 |
+
"query_id": "bio.protein-design",
|
| 2072 |
+
"repositories_observed_on_last_page": 14,
|
| 2073 |
+
"sampled_first_page": true,
|
| 2074 |
+
"search_limit_reached": false,
|
| 2075 |
+
"status": "complete",
|
| 2076 |
+
"total_count": 14,
|
| 2077 |
+
"year": 2019
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"coverage_gap": true,
|
| 2081 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2082 |
+
"incomplete_results": false,
|
| 2083 |
+
"pages_scanned": 1,
|
| 2084 |
+
"query": "LoRA in:description created:2019-01-01..2019-12-31",
|
| 2085 |
+
"query_id": "efficiency.lora",
|
| 2086 |
+
"repositories_observed_on_last_page": 100,
|
| 2087 |
+
"sampled_first_page": true,
|
| 2088 |
+
"search_limit_reached": false,
|
| 2089 |
+
"status": "sampled",
|
| 2090 |
+
"total_count": 753,
|
| 2091 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"coverage_gap": true,
|
| 2109 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2110 |
+
"incomplete_results": false,
|
| 2111 |
+
"pages_scanned": 1,
|
| 2112 |
+
"query": "\"Gaussian mixture model\" in:description,readme created:2019-01-01..2019-12-31",
|
| 2113 |
+
"query_id": "general.gaussian-mixture-models",
|
| 2114 |
+
"repositories_observed_on_last_page": 100,
|
| 2115 |
+
"sampled_first_page": true,
|
| 2116 |
+
"search_limit_reached": false,
|
| 2117 |
+
"status": "sampled",
|
| 2118 |
+
"total_count": 910,
|
| 2119 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2127 |
+
"query_id": "geo.mobility-modeling",
|
| 2128 |
+
"repositories_observed_on_last_page": 4,
|
| 2129 |
+
"sampled_first_page": true,
|
| 2130 |
+
"search_limit_reached": false,
|
| 2131 |
+
"status": "complete",
|
| 2132 |
+
"total_count": 4,
|
| 2133 |
+
"year": 2019
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"coverage_gap": true,
|
| 2137 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2138 |
+
"incomplete_results": false,
|
| 2139 |
+
"pages_scanned": 1,
|
| 2140 |
+
"query": "\"link prediction\" in:description created:2019-01-01..2019-12-31",
|
| 2141 |
+
"query_id": "graph.link-prediction",
|
| 2142 |
+
"repositories_observed_on_last_page": 100,
|
| 2143 |
+
"sampled_first_page": true,
|
| 2144 |
+
"search_limit_reached": false,
|
| 2145 |
+
"status": "sampled",
|
| 2146 |
+
"total_count": 126,
|
| 2147 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2169 |
+
"query_id": "medical.medical-image-segmentation",
|
| 2170 |
+
"repositories_observed_on_last_page": 75,
|
| 2171 |
+
"sampled_first_page": true,
|
| 2172 |
+
"search_limit_reached": false,
|
| 2173 |
+
"status": "complete",
|
| 2174 |
+
"total_count": 75,
|
| 2175 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2183 |
+
"query_id": "multimodal.scene-understanding",
|
| 2184 |
+
"repositories_observed_on_last_page": 23,
|
| 2185 |
+
"sampled_first_page": true,
|
| 2186 |
+
"search_limit_reached": false,
|
| 2187 |
+
"status": "complete",
|
| 2188 |
+
"total_count": 23,
|
| 2189 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2197 |
+
"query_id": "nlp.subword-tokenization",
|
| 2198 |
+
"repositories_observed_on_last_page": 45,
|
| 2199 |
+
"sampled_first_page": true,
|
| 2200 |
+
"search_limit_reached": false,
|
| 2201 |
+
"status": "complete",
|
| 2202 |
+
"total_count": 45,
|
| 2203 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2211 |
+
"query_id": "probable.scientific-surrogate-modeling",
|
| 2212 |
+
"repositories_observed_on_last_page": 73,
|
| 2213 |
+
"sampled_first_page": true,
|
| 2214 |
+
"search_limit_reached": false,
|
| 2215 |
+
"status": "complete",
|
| 2216 |
+
"total_count": 73,
|
| 2217 |
+
"year": 2019
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"coverage_gap": true,
|
| 2221 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2222 |
+
"incomplete_results": false,
|
| 2223 |
+
"pages_scanned": 1,
|
| 2224 |
+
"query": "legal NLP in:name,description,readme created:2019-01-01..2019-12-31",
|
| 2225 |
+
"query_id": "recall.legal-nlp",
|
| 2226 |
+
"repositories_observed_on_last_page": 100,
|
| 2227 |
+
"sampled_first_page": true,
|
| 2228 |
+
"search_limit_reached": false,
|
| 2229 |
+
"status": "sampled",
|
| 2230 |
+
"total_count": 227,
|
| 2231 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2239 |
+
"query_id": "rl.offline",
|
| 2240 |
+
"repositories_observed_on_last_page": 2,
|
| 2241 |
+
"sampled_first_page": true,
|
| 2242 |
+
"search_limit_reached": false,
|
| 2243 |
+
"status": "complete",
|
| 2244 |
+
"total_count": 2,
|
| 2245 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2253 |
+
"query_id": "robotics.robot-motion-planning",
|
| 2254 |
+
"repositories_observed_on_last_page": 23,
|
| 2255 |
+
"sampled_first_page": true,
|
| 2256 |
+
"search_limit_reached": false,
|
| 2257 |
+
"status": "complete",
|
| 2258 |
+
"total_count": 23,
|
| 2259 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2267 |
+
"query_id": "science.photonics",
|
| 2268 |
+
"repositories_observed_on_last_page": 55,
|
| 2269 |
+
"sampled_first_page": true,
|
| 2270 |
+
"search_limit_reached": false,
|
| 2271 |
+
"status": "complete",
|
| 2272 |
+
"total_count": 55,
|
| 2273 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2281 |
+
"query_id": "specialized.test-time-adaptation",
|
| 2282 |
+
"repositories_observed_on_last_page": 11,
|
| 2283 |
+
"sampled_first_page": true,
|
| 2284 |
+
"search_limit_reached": false,
|
| 2285 |
+
"status": "complete",
|
| 2286 |
+
"total_count": 11,
|
| 2287 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2295 |
+
"query_id": "timeseries.remaining-useful-life",
|
| 2296 |
+
"repositories_observed_on_last_page": 78,
|
| 2297 |
+
"sampled_first_page": true,
|
| 2298 |
+
"search_limit_reached": false,
|
| 2299 |
+
"status": "complete",
|
| 2300 |
+
"total_count": 78,
|
| 2301 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2309 |
+
"query_id": "trust.domain-generalization",
|
| 2310 |
+
"repositories_observed_on_last_page": 15,
|
| 2311 |
+
"sampled_first_page": true,
|
| 2312 |
+
"search_limit_reached": false,
|
| 2313 |
+
"status": "complete",
|
| 2314 |
+
"total_count": 15,
|
| 2315 |
+
"year": 2019
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"coverage_gap": true,
|
| 2319 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2320 |
+
"incomplete_results": false,
|
| 2321 |
+
"pages_scanned": 1,
|
| 2322 |
+
"query": "topic:ocr created:2019-01-01..2019-12-31",
|
| 2323 |
+
"query_id": "vision.ocr",
|
| 2324 |
+
"repositories_observed_on_last_page": 100,
|
| 2325 |
+
"sampled_first_page": true,
|
| 2326 |
+
"search_limit_reached": false,
|
| 2327 |
+
"status": "sampled",
|
| 2328 |
+
"total_count": 487,
|
| 2329 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2337 |
+
"query_id": "applied.energy-load-forecasting",
|
| 2338 |
+
"repositories_observed_on_last_page": 42,
|
| 2339 |
+
"sampled_first_page": true,
|
| 2340 |
+
"search_limit_reached": false,
|
| 2341 |
+
"status": "complete",
|
| 2342 |
+
"total_count": 42,
|
| 2343 |
+
"year": 2019
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"coverage_gap": true,
|
| 2347 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2348 |
+
"incomplete_results": false,
|
| 2349 |
+
"pages_scanned": 1,
|
| 2350 |
+
"query": "\"protein folding\" in:readme created:2019-01-01..2019-12-31",
|
| 2351 |
+
"query_id": "bio.protein-folding",
|
| 2352 |
+
"repositories_observed_on_last_page": 100,
|
| 2353 |
+
"sampled_first_page": true,
|
| 2354 |
+
"search_limit_reached": false,
|
| 2355 |
+
"status": "sampled",
|
| 2356 |
+
"total_count": 126,
|
| 2357 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2365 |
+
"query_id": "efficiency.low-rank-factorization",
|
| 2366 |
+
"repositories_observed_on_last_page": 3,
|
| 2367 |
+
"sampled_first_page": true,
|
| 2368 |
+
"search_limit_reached": false,
|
| 2369 |
+
"status": "complete",
|
| 2370 |
+
"total_count": 3,
|
| 2371 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2379 |
+
"query_id": "gap2026.green-ai-carbon",
|
| 2380 |
+
"repositories_observed_on_last_page": 13,
|
| 2381 |
+
"sampled_first_page": true,
|
| 2382 |
+
"search_limit_reached": false,
|
| 2383 |
+
"status": "complete",
|
| 2384 |
+
"total_count": 13,
|
| 2385 |
+
"year": 2019
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"coverage_gap": true,
|
| 2389 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2390 |
+
"incomplete_results": false,
|
| 2391 |
+
"pages_scanned": 1,
|
| 2392 |
+
"query": "\"Gaussian process\" in:description created:2019-01-01..2019-12-31",
|
| 2393 |
+
"query_id": "general.gaussian-process",
|
| 2394 |
+
"repositories_observed_on_last_page": 100,
|
| 2395 |
+
"sampled_first_page": true,
|
| 2396 |
+
"search_limit_reached": false,
|
| 2397 |
+
"status": "sampled",
|
| 2398 |
+
"total_count": 366,
|
| 2399 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2407 |
+
"query_id": "geo.object-detection",
|
| 2408 |
+
"repositories_observed_on_last_page": 91,
|
| 2409 |
+
"sampled_first_page": true,
|
| 2410 |
+
"search_limit_reached": false,
|
| 2411 |
+
"status": "complete",
|
| 2412 |
+
"total_count": 91,
|
| 2413 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2421 |
+
"query_id": "graph.manifold-learning",
|
| 2422 |
+
"repositories_observed_on_last_page": 27,
|
| 2423 |
+
"sampled_first_page": true,
|
| 2424 |
+
"search_limit_reached": false,
|
| 2425 |
+
"status": "complete",
|
| 2426 |
+
"total_count": 27,
|
| 2427 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2435 |
+
"query_id": "llm.parameter-efficient-finetuning",
|
| 2436 |
+
"repositories_observed_on_last_page": 12,
|
| 2437 |
+
"sampled_first_page": true,
|
| 2438 |
+
"search_limit_reached": false,
|
| 2439 |
+
"status": "complete",
|
| 2440 |
+
"total_count": 12,
|
| 2441 |
+
"year": 2019
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"coverage_gap": true,
|
| 2445 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2446 |
+
"incomplete_results": false,
|
| 2447 |
+
"pages_scanned": 1,
|
| 2448 |
+
"query": "\"medical imaging\" in:readme created:2019-01-01..2019-12-31",
|
| 2449 |
+
"query_id": "medical.medical-imaging",
|
| 2450 |
+
"repositories_observed_on_last_page": 100,
|
| 2451 |
+
"sampled_first_page": true,
|
| 2452 |
+
"search_limit_reached": true,
|
| 2453 |
+
"status": "sampled",
|
| 2454 |
+
"total_count": 2004,
|
| 2455 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2463 |
+
"query_id": "multimodal.text-to-3d",
|
| 2464 |
+
"repositories_observed_on_last_page": 8,
|
| 2465 |
+
"sampled_first_page": true,
|
| 2466 |
+
"search_limit_reached": false,
|
| 2467 |
+
"status": "complete",
|
| 2468 |
+
"total_count": 8,
|
| 2469 |
+
"year": 2019
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"coverage_gap": true,
|
| 2473 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2474 |
+
"incomplete_results": false,
|
| 2475 |
+
"pages_scanned": 1,
|
| 2476 |
+
"query": "\"text classification\" in:description created:2019-01-01..2019-12-31",
|
| 2477 |
+
"query_id": "nlp.text-classification",
|
| 2478 |
+
"repositories_observed_on_last_page": 100,
|
| 2479 |
+
"sampled_first_page": true,
|
| 2480 |
+
"search_limit_reached": true,
|
| 2481 |
+
"status": "sampled",
|
| 2482 |
+
"total_count": 1086,
|
| 2483 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2491 |
+
"query_id": "probable.scientific-system-identification",
|
| 2492 |
+
"repositories_observed_on_last_page": 33,
|
| 2493 |
+
"sampled_first_page": true,
|
| 2494 |
+
"search_limit_reached": false,
|
| 2495 |
+
"status": "complete",
|
| 2496 |
+
"total_count": 33,
|
| 2497 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2505 |
+
"query_id": "recall.name.artificial-intelligence",
|
| 2506 |
+
"repositories_observed_on_last_page": 100,
|
| 2507 |
+
"sampled_first_page": true,
|
| 2508 |
+
"search_limit_reached": true,
|
| 2509 |
+
"status": "sampled",
|
| 2510 |
+
"total_count": 14192,
|
| 2511 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2533 |
+
"query_id": "robotics.robotics-reinforcement-learning",
|
| 2534 |
+
"repositories_observed_on_last_page": 3,
|
| 2535 |
+
"sampled_first_page": true,
|
| 2536 |
+
"search_limit_reached": false,
|
| 2537 |
+
"status": "complete",
|
| 2538 |
+
"total_count": 3,
|
| 2539 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2547 |
+
"query_id": "science.physics",
|
| 2548 |
+
"repositories_observed_on_last_page": 100,
|
| 2549 |
+
"sampled_first_page": true,
|
| 2550 |
+
"search_limit_reached": true,
|
| 2551 |
+
"status": "sampled",
|
| 2552 |
+
"total_count": 3490,
|
| 2553 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2561 |
+
"query_id": "timeseries.sensor-data",
|
| 2562 |
+
"repositories_observed_on_last_page": 1,
|
| 2563 |
+
"sampled_first_page": true,
|
| 2564 |
+
"search_limit_reached": false,
|
| 2565 |
+
"status": "complete",
|
| 2566 |
+
"total_count": 1,
|
| 2567 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2575 |
+
"query_id": "trust.explainable-ai",
|
| 2576 |
+
"repositories_observed_on_last_page": 47,
|
| 2577 |
+
"sampled_first_page": true,
|
| 2578 |
+
"search_limit_reached": false,
|
| 2579 |
+
"status": "complete",
|
| 2580 |
+
"total_count": 47,
|
| 2581 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2589 |
+
"query_id": "vision.open-vocabulary-detection",
|
| 2590 |
+
"repositories_observed_on_last_page": 2,
|
| 2591 |
+
"sampled_first_page": true,
|
| 2592 |
+
"search_limit_reached": false,
|
| 2593 |
+
"status": "complete",
|
| 2594 |
+
"total_count": 2,
|
| 2595 |
+
"year": 2019
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"coverage_gap": true,
|
| 2599 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2600 |
+
"incomplete_results": false,
|
| 2601 |
+
"pages_scanned": 1,
|
| 2602 |
+
"query": "\"fraud detection\" \"machine learning\" in:description,readme created:2019-01-01..2019-12-31",
|
| 2603 |
+
"query_id": "applied.fraud-detection",
|
| 2604 |
+
"repositories_observed_on_last_page": 100,
|
| 2605 |
+
"sampled_first_page": true,
|
| 2606 |
+
"search_limit_reached": false,
|
| 2607 |
+
"status": "sampled",
|
| 2608 |
+
"total_count": 857,
|
| 2609 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2617 |
+
"query_id": "bio.protein-interactions",
|
| 2618 |
+
"repositories_observed_on_last_page": 8,
|
| 2619 |
+
"sampled_first_page": true,
|
| 2620 |
+
"search_limit_reached": false,
|
| 2621 |
+
"status": "complete",
|
| 2622 |
+
"total_count": 8,
|
| 2623 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2631 |
+
"query_id": "efficiency.mixed-precision-training",
|
| 2632 |
+
"repositories_observed_on_last_page": 8,
|
| 2633 |
+
"sampled_first_page": true,
|
| 2634 |
+
"search_limit_reached": false,
|
| 2635 |
+
"status": "complete",
|
| 2636 |
+
"total_count": 8,
|
| 2637 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2645 |
+
"query_id": "gap2026.green-ai-carbon-aware-scheduling",
|
| 2646 |
+
"repositories_observed_on_last_page": 1,
|
| 2647 |
+
"sampled_first_page": true,
|
| 2648 |
+
"search_limit_reached": false,
|
| 2649 |
+
"status": "complete",
|
| 2650 |
+
"total_count": 1,
|
| 2651 |
+
"year": 2019
|
| 2652 |
+
},
|
| 2653 |
+
{
|
| 2654 |
+
"coverage_gap": true,
|
| 2655 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2656 |
+
"incomplete_results": false,
|
| 2657 |
+
"pages_scanned": 1,
|
| 2658 |
+
"query": "\"gradient boosting\" in:description created:2019-01-01..2019-12-31",
|
| 2659 |
+
"query_id": "general.gradient-boosting",
|
| 2660 |
+
"repositories_observed_on_last_page": 100,
|
| 2661 |
+
"sampled_first_page": true,
|
| 2662 |
+
"search_limit_reached": false,
|
| 2663 |
+
"status": "sampled",
|
| 2664 |
+
"total_count": 381,
|
| 2665 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2673 |
+
"query_id": "geo.ocean-remote-sensing",
|
| 2674 |
+
"repositories_observed_on_last_page": 3,
|
| 2675 |
+
"sampled_first_page": true,
|
| 2676 |
+
"search_limit_reached": false,
|
| 2677 |
+
"status": "complete",
|
| 2678 |
+
"total_count": 3,
|
| 2679 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2701 |
+
"query_id": "llm.preference-optimization",
|
| 2702 |
+
"repositories_observed_on_last_page": 10,
|
| 2703 |
+
"sampled_first_page": true,
|
| 2704 |
+
"search_limit_reached": false,
|
| 2705 |
+
"status": "complete",
|
| 2706 |
+
"total_count": 10,
|
| 2707 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 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": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2729 |
+
"query_id": "multimodal.text-to-image",
|
| 2730 |
+
"repositories_observed_on_last_page": 60,
|
| 2731 |
+
"sampled_first_page": true,
|
| 2732 |
+
"search_limit_reached": false,
|
| 2733 |
+
"status": "complete",
|
| 2734 |
+
"total_count": 60,
|
| 2735 |
+
"year": 2019
|
| 2736 |
+
},
|
| 2737 |
+
{
|
| 2738 |
+
"coverage_gap": true,
|
| 2739 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2740 |
+
"incomplete_results": false,
|
| 2741 |
+
"pages_scanned": 1,
|
| 2742 |
+
"query": "\"text generation\" in:readme created:2019-01-01..2019-12-31",
|
| 2743 |
+
"query_id": "nlp.text-generation",
|
| 2744 |
+
"repositories_observed_on_last_page": 100,
|
| 2745 |
+
"sampled_first_page": true,
|
| 2746 |
+
"search_limit_reached": true,
|
| 2747 |
+
"status": "sampled",
|
| 2748 |
+
"total_count": 1475,
|
| 2749 |
+
"year": 2019
|
| 2750 |
+
},
|
| 2751 |
+
{
|
| 2752 |
+
"coverage_gap": true,
|
| 2753 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2754 |
+
"incomplete_results": false,
|
| 2755 |
+
"pages_scanned": 1,
|
| 2756 |
+
"query": "\"deep learning\" in:name,description,readme created:2019-01-01..2019-12-31",
|
| 2757 |
+
"query_id": "recall.name.deep-learning",
|
| 2758 |
+
"repositories_observed_on_last_page": 100,
|
| 2759 |
+
"sampled_first_page": true,
|
| 2760 |
+
"search_limit_reached": true,
|
| 2761 |
+
"status": "sampled",
|
| 2762 |
+
"total_count": 51513,
|
| 2763 |
+
"year": 2019
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"coverage_gap": true,
|
| 2767 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2768 |
+
"incomplete_results": false,
|
| 2769 |
+
"pages_scanned": 1,
|
| 2770 |
+
"query": "\"policy gradient\" in:description created:2019-01-01..2019-12-31",
|
| 2771 |
+
"query_id": "rl.policy-gradient",
|
| 2772 |
+
"repositories_observed_on_last_page": 100,
|
| 2773 |
+
"sampled_first_page": true,
|
| 2774 |
+
"search_limit_reached": false,
|
| 2775 |
+
"status": "sampled",
|
| 2776 |
+
"total_count": 225,
|
| 2777 |
+
"year": 2019
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"coverage_gap": true,
|
| 2781 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2782 |
+
"incomplete_results": false,
|
| 2783 |
+
"pages_scanned": 1,
|
| 2784 |
+
"query": "topic:robotics created:2019-01-01..2019-12-31",
|
| 2785 |
+
"query_id": "robotics.robotics-topic",
|
| 2786 |
+
"repositories_observed_on_last_page": 100,
|
| 2787 |
+
"sampled_first_page": true,
|
| 2788 |
+
"search_limit_reached": true,
|
| 2789 |
+
"status": "sampled",
|
| 2790 |
+
"total_count": 1203,
|
| 2791 |
+
"year": 2019
|
| 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:2019-01-01..2019-12-31",
|
| 2799 |
+
"query_id": "science.physics-informed-neural-networks",
|
| 2800 |
+
"repositories_observed_on_last_page": 9,
|
| 2801 |
+
"sampled_first_page": true,
|
| 2802 |
+
"search_limit_reached": false,
|
| 2803 |
+
"status": "complete",
|
| 2804 |
+
"total_count": 9,
|
| 2805 |
+
"year": 2019
|
| 2806 |
+
}
|
| 2807 |
+
],
|
| 2808 |
+
"requests_used": 200,
|
| 2809 |
+
"run_id": "20261016T152309000000Z-156f8674",
|
| 2810 |
+
"start_year": 2008,
|
| 2811 |
+
"started_at": "2026-10-16T15:23:09Z"
|
| 2812 |
+
}
|
data/observations/2026/10/16/20261016T152309000000Z-156f8674.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
state/historical-sample.json
CHANGED
|
@@ -2506,7 +2506,8 @@
|
|
| 2506 |
2023,
|
| 2507 |
2022,
|
| 2508 |
2021,
|
| 2509 |
-
2020
|
|
|
|
| 2510 |
]
|
| 2511 |
},
|
| 2512 |
"applied.customer-lifetime-value": {
|
|
@@ -2518,7 +2519,8 @@
|
|
| 2518 |
2023,
|
| 2519 |
2022,
|
| 2520 |
2021,
|
| 2521 |
-
2020
|
|
|
|
| 2522 |
]
|
| 2523 |
},
|
| 2524 |
"applied.customer-segmentation": {
|
|
@@ -2530,7 +2532,8 @@
|
|
| 2530 |
2023,
|
| 2531 |
2022,
|
| 2532 |
2021,
|
| 2533 |
-
2020
|
|
|
|
| 2534 |
]
|
| 2535 |
},
|
| 2536 |
"applied.cybersecurity-ml": {
|
|
@@ -2542,7 +2545,8 @@
|
|
| 2542 |
2023,
|
| 2543 |
2022,
|
| 2544 |
2021,
|
| 2545 |
-
2020
|
|
|
|
| 2546 |
]
|
| 2547 |
},
|
| 2548 |
"applied.demand-forecasting": {
|
|
@@ -2554,7 +2558,8 @@
|
|
| 2554 |
2023,
|
| 2555 |
2022,
|
| 2556 |
2021,
|
| 2557 |
-
2020
|
|
|
|
| 2558 |
]
|
| 2559 |
},
|
| 2560 |
"applied.dynamic-pricing": {
|
|
@@ -2566,7 +2571,8 @@
|
|
| 2566 |
2023,
|
| 2567 |
2022,
|
| 2568 |
2021,
|
| 2569 |
-
2020
|
|
|
|
| 2570 |
]
|
| 2571 |
},
|
| 2572 |
"applied.ecological-forecasting": {
|
|
@@ -2578,7 +2584,8 @@
|
|
| 2578 |
2023,
|
| 2579 |
2022,
|
| 2580 |
2021,
|
| 2581 |
-
2020
|
|
|
|
| 2582 |
]
|
| 2583 |
},
|
| 2584 |
"applied.educational-data-mining": {
|
|
@@ -2590,7 +2597,8 @@
|
|
| 2590 |
2023,
|
| 2591 |
2022,
|
| 2592 |
2021,
|
| 2593 |
-
2020
|
|
|
|
| 2594 |
]
|
| 2595 |
},
|
| 2596 |
"applied.energy-load-forecasting": {
|
|
@@ -2602,7 +2610,8 @@
|
|
| 2602 |
2023,
|
| 2603 |
2022,
|
| 2604 |
2021,
|
| 2605 |
-
2020
|
|
|
|
| 2606 |
]
|
| 2607 |
},
|
| 2608 |
"applied.fraud-detection": {
|
|
@@ -2614,7 +2623,8 @@
|
|
| 2614 |
2023,
|
| 2615 |
2022,
|
| 2616 |
2021,
|
| 2617 |
-
2020
|
|
|
|
| 2618 |
]
|
| 2619 |
},
|
| 2620 |
"applied.industrial-defect-detection": {
|
|
@@ -3296,7 +3306,8 @@
|
|
| 3296 |
2023,
|
| 3297 |
2022,
|
| 3298 |
2021,
|
| 3299 |
-
2020
|
|
|
|
| 3300 |
]
|
| 3301 |
},
|
| 3302 |
"bio.metagenomics": {
|
|
@@ -3308,7 +3319,8 @@
|
|
| 3308 |
2023,
|
| 3309 |
2022,
|
| 3310 |
2021,
|
| 3311 |
-
2020
|
|
|
|
| 3312 |
]
|
| 3313 |
},
|
| 3314 |
"bio.microbiome": {
|
|
@@ -3320,7 +3332,8 @@
|
|
| 3320 |
2023,
|
| 3321 |
2022,
|
| 3322 |
2021,
|
| 3323 |
-
2020
|
|
|
|
| 3324 |
]
|
| 3325 |
},
|
| 3326 |
"bio.microscopy-cell-analysis": {
|
|
@@ -3332,7 +3345,8 @@
|
|
| 3332 |
2023,
|
| 3333 |
2022,
|
| 3334 |
2021,
|
| 3335 |
-
2020
|
|
|
|
| 3336 |
]
|
| 3337 |
},
|
| 3338 |
"bio.molecular-dynamics": {
|
|
@@ -3344,7 +3358,8 @@
|
|
| 3344 |
2023,
|
| 3345 |
2022,
|
| 3346 |
2021,
|
| 3347 |
-
2020
|
|
|
|
| 3348 |
]
|
| 3349 |
},
|
| 3350 |
"bio.molecular-force-fields": {
|
|
@@ -3356,7 +3371,8 @@
|
|
| 3356 |
2023,
|
| 3357 |
2022,
|
| 3358 |
2021,
|
| 3359 |
-
2020
|
|
|
|
| 3360 |
]
|
| 3361 |
},
|
| 3362 |
"bio.phylogenetics": {
|
|
@@ -3368,7 +3384,8 @@
|
|
| 3368 |
2023,
|
| 3369 |
2022,
|
| 3370 |
2021,
|
| 3371 |
-
2020
|
|
|
|
| 3372 |
]
|
| 3373 |
},
|
| 3374 |
"bio.protein-design": {
|
|
@@ -3380,7 +3397,8 @@
|
|
| 3380 |
2023,
|
| 3381 |
2022,
|
| 3382 |
2021,
|
| 3383 |
-
2020
|
|
|
|
| 3384 |
]
|
| 3385 |
},
|
| 3386 |
"bio.protein-folding": {
|
|
@@ -3392,7 +3410,8 @@
|
|
| 3392 |
2023,
|
| 3393 |
2022,
|
| 3394 |
2021,
|
| 3395 |
-
2020
|
|
|
|
| 3396 |
]
|
| 3397 |
},
|
| 3398 |
"bio.protein-interactions": {
|
|
@@ -3404,7 +3423,8 @@
|
|
| 3404 |
2023,
|
| 3405 |
2022,
|
| 3406 |
2021,
|
| 3407 |
-
2020
|
|
|
|
| 3408 |
]
|
| 3409 |
},
|
| 3410 |
"bio.protein-structure": {
|
|
@@ -3875,7 +3895,8 @@
|
|
| 3875 |
2023,
|
| 3876 |
2022,
|
| 3877 |
2021,
|
| 3878 |
-
2020
|
|
|
|
| 3879 |
]
|
| 3880 |
},
|
| 3881 |
"efficiency.gpu-kernels": {
|
|
@@ -3887,7 +3908,8 @@
|
|
| 3887 |
2023,
|
| 3888 |
2022,
|
| 3889 |
2021,
|
| 3890 |
-
2020
|
|
|
|
| 3891 |
]
|
| 3892 |
},
|
| 3893 |
"efficiency.gradient-optimization": {
|
|
@@ -3899,7 +3921,8 @@
|
|
| 3899 |
2023,
|
| 3900 |
2022,
|
| 3901 |
2021,
|
| 3902 |
-
2020
|
|
|
|
| 3903 |
]
|
| 3904 |
},
|
| 3905 |
"efficiency.hyperparameter-optimization": {
|
|
@@ -3911,7 +3934,8 @@
|
|
| 3911 |
2023,
|
| 3912 |
2022,
|
| 3913 |
2021,
|
| 3914 |
-
2020
|
|
|
|
| 3915 |
]
|
| 3916 |
},
|
| 3917 |
"efficiency.inference-systems": {
|
|
@@ -3923,7 +3947,8 @@
|
|
| 3923 |
2023,
|
| 3924 |
2022,
|
| 3925 |
2021,
|
| 3926 |
-
2020
|
|
|
|
| 3927 |
]
|
| 3928 |
},
|
| 3929 |
"efficiency.knowledge-distillation": {
|
|
@@ -3935,7 +3960,8 @@
|
|
| 3935 |
2023,
|
| 3936 |
2022,
|
| 3937 |
2021,
|
| 3938 |
-
2020
|
|
|
|
| 3939 |
]
|
| 3940 |
},
|
| 3941 |
"efficiency.kv-cache": {
|
|
@@ -3947,7 +3973,8 @@
|
|
| 3947 |
2023,
|
| 3948 |
2022,
|
| 3949 |
2021,
|
| 3950 |
-
2020
|
|
|
|
| 3951 |
]
|
| 3952 |
},
|
| 3953 |
"efficiency.lora": {
|
|
@@ -3959,7 +3986,8 @@
|
|
| 3959 |
2023,
|
| 3960 |
2022,
|
| 3961 |
2021,
|
| 3962 |
-
2020
|
|
|
|
| 3963 |
]
|
| 3964 |
},
|
| 3965 |
"efficiency.low-rank-factorization": {
|
|
@@ -3971,7 +3999,8 @@
|
|
| 3971 |
2023,
|
| 3972 |
2022,
|
| 3973 |
2021,
|
| 3974 |
-
2020
|
|
|
|
| 3975 |
]
|
| 3976 |
},
|
| 3977 |
"efficiency.mixed-precision-training": {
|
|
@@ -3983,7 +4012,8 @@
|
|
| 3983 |
2023,
|
| 3984 |
2022,
|
| 3985 |
2021,
|
| 3986 |
-
2020
|
|
|
|
| 3987 |
]
|
| 3988 |
},
|
| 3989 |
"efficiency.mixture-of-experts": {
|
|
@@ -4218,7 +4248,8 @@
|
|
| 4218 |
2023,
|
| 4219 |
2022,
|
| 4220 |
2021,
|
| 4221 |
-
2020
|
|
|
|
| 4222 |
]
|
| 4223 |
},
|
| 4224 |
"gap2026.econometrics-double-ml": {
|
|
@@ -4230,7 +4261,8 @@
|
|
| 4230 |
2023,
|
| 4231 |
2022,
|
| 4232 |
2021,
|
| 4233 |
-
2020
|
|
|
|
| 4234 |
]
|
| 4235 |
},
|
| 4236 |
"gap2026.econometrics-heterogeneous-effects": {
|
|
@@ -4242,7 +4274,8 @@
|
|
| 4242 |
2023,
|
| 4243 |
2022,
|
| 4244 |
2021,
|
| 4245 |
-
2020
|
|
|
|
| 4246 |
]
|
| 4247 |
},
|
| 4248 |
"gap2026.econometrics-policy-learning": {
|
|
@@ -4254,7 +4287,8 @@
|
|
| 4254 |
2023,
|
| 4255 |
2022,
|
| 4256 |
2021,
|
| 4257 |
-
2020
|
|
|
|
| 4258 |
]
|
| 4259 |
},
|
| 4260 |
"gap2026.forecasting-count-data": {
|
|
@@ -4266,7 +4300,8 @@
|
|
| 4266 |
2023,
|
| 4267 |
2022,
|
| 4268 |
2021,
|
| 4269 |
-
2020
|
|
|
|
| 4270 |
]
|
| 4271 |
},
|
| 4272 |
"gap2026.forecasting-hierarchical": {
|
|
@@ -4278,7 +4313,8 @@
|
|
| 4278 |
2023,
|
| 4279 |
2022,
|
| 4280 |
2021,
|
| 4281 |
-
2020
|
|
|
|
| 4282 |
]
|
| 4283 |
},
|
| 4284 |
"gap2026.forecasting-intermittent-demand": {
|
|
@@ -4290,7 +4326,8 @@
|
|
| 4290 |
2023,
|
| 4291 |
2022,
|
| 4292 |
2021,
|
| 4293 |
-
2020
|
|
|
|
| 4294 |
]
|
| 4295 |
},
|
| 4296 |
"gap2026.forecasting-quantile": {
|
|
@@ -4302,7 +4339,8 @@
|
|
| 4302 |
2023,
|
| 4303 |
2022,
|
| 4304 |
2021,
|
| 4305 |
-
2020
|
|
|
|
| 4306 |
]
|
| 4307 |
},
|
| 4308 |
"gap2026.green-ai-carbon": {
|
|
@@ -4314,7 +4352,8 @@
|
|
| 4314 |
2023,
|
| 4315 |
2022,
|
| 4316 |
2021,
|
| 4317 |
-
2020
|
|
|
|
| 4318 |
]
|
| 4319 |
},
|
| 4320 |
"gap2026.green-ai-carbon-aware-scheduling": {
|
|
@@ -4326,7 +4365,8 @@
|
|
| 4326 |
2023,
|
| 4327 |
2022,
|
| 4328 |
2021,
|
| 4329 |
-
2020
|
|
|
|
| 4330 |
]
|
| 4331 |
},
|
| 4332 |
"gap2026.green-ai-efficient-inference": {
|
|
@@ -4573,7 +4613,8 @@
|
|
| 4573 |
2023,
|
| 4574 |
2022,
|
| 4575 |
2021,
|
| 4576 |
-
2020
|
|
|
|
| 4577 |
]
|
| 4578 |
},
|
| 4579 |
"general.contrastive-learning": {
|
|
@@ -4585,7 +4626,8 @@
|
|
| 4585 |
2023,
|
| 4586 |
2022,
|
| 4587 |
2021,
|
| 4588 |
-
2020
|
|
|
|
| 4589 |
]
|
| 4590 |
},
|
| 4591 |
"general.decision-trees": {
|
|
@@ -4597,7 +4639,8 @@
|
|
| 4597 |
2023,
|
| 4598 |
2022,
|
| 4599 |
2021,
|
| 4600 |
-
2020
|
|
|
|
| 4601 |
]
|
| 4602 |
},
|
| 4603 |
"general.deep-learning-description": {
|
|
@@ -4609,7 +4652,8 @@
|
|
| 4609 |
2023,
|
| 4610 |
2022,
|
| 4611 |
2021,
|
| 4612 |
-
2020
|
|
|
|
| 4613 |
]
|
| 4614 |
},
|
| 4615 |
"general.deep-learning-readme": {
|
|
@@ -4621,7 +4665,8 @@
|
|
| 4621 |
2023,
|
| 4622 |
2022,
|
| 4623 |
2021,
|
| 4624 |
-
2020
|
|
|
|
| 4625 |
]
|
| 4626 |
},
|
| 4627 |
"general.dimensionality-reduction": {
|
|
@@ -4633,7 +4678,8 @@
|
|
| 4633 |
2023,
|
| 4634 |
2022,
|
| 4635 |
2021,
|
| 4636 |
-
2020
|
|
|
|
| 4637 |
]
|
| 4638 |
},
|
| 4639 |
"general.domain-adaptation": {
|
|
@@ -4645,7 +4691,8 @@
|
|
| 4645 |
2023,
|
| 4646 |
2022,
|
| 4647 |
2021,
|
| 4648 |
-
2020
|
|
|
|
| 4649 |
]
|
| 4650 |
},
|
| 4651 |
"general.gaussian-mixture-models": {
|
|
@@ -4657,7 +4704,8 @@
|
|
| 4657 |
2023,
|
| 4658 |
2022,
|
| 4659 |
2021,
|
| 4660 |
-
2020
|
|
|
|
| 4661 |
]
|
| 4662 |
},
|
| 4663 |
"general.gaussian-process": {
|
|
@@ -4669,7 +4717,8 @@
|
|
| 4669 |
2023,
|
| 4670 |
2022,
|
| 4671 |
2021,
|
| 4672 |
-
2020
|
|
|
|
| 4673 |
]
|
| 4674 |
},
|
| 4675 |
"general.gradient-boosting": {
|
|
@@ -4681,7 +4730,8 @@
|
|
| 4681 |
2023,
|
| 4682 |
2022,
|
| 4683 |
2021,
|
| 4684 |
-
2020
|
|
|
|
| 4685 |
]
|
| 4686 |
},
|
| 4687 |
"general.hidden-markov-models": {
|
|
@@ -5108,7 +5158,8 @@
|
|
| 5108 |
2023,
|
| 5109 |
2022,
|
| 5110 |
2021,
|
| 5111 |
-
2020
|
|
|
|
| 5112 |
]
|
| 5113 |
},
|
| 5114 |
"geo.geospatial-foundation-models": {
|
|
@@ -5120,7 +5171,8 @@
|
|
| 5120 |
2023,
|
| 5121 |
2022,
|
| 5122 |
2021,
|
| 5123 |
-
2020
|
|
|
|
| 5124 |
]
|
| 5125 |
},
|
| 5126 |
"geo.geospatial-knowledge-graph": {
|
|
@@ -5132,7 +5184,8 @@
|
|
| 5132 |
2023,
|
| 5133 |
2022,
|
| 5134 |
2021,
|
| 5135 |
-
2020
|
|
|
|
| 5136 |
]
|
| 5137 |
},
|
| 5138 |
"geo.hydrology": {
|
|
@@ -5144,7 +5197,8 @@
|
|
| 5144 |
2023,
|
| 5145 |
2022,
|
| 5146 |
2021,
|
| 5147 |
-
2020
|
|
|
|
| 5148 |
]
|
| 5149 |
},
|
| 5150 |
"geo.land-cover": {
|
|
@@ -5156,7 +5210,8 @@
|
|
| 5156 |
2023,
|
| 5157 |
2022,
|
| 5158 |
2021,
|
| 5159 |
-
2020
|
|
|
|
| 5160 |
]
|
| 5161 |
},
|
| 5162 |
"geo.land-use": {
|
|
@@ -5168,7 +5223,8 @@
|
|
| 5168 |
2023,
|
| 5169 |
2022,
|
| 5170 |
2021,
|
| 5171 |
-
2020
|
|
|
|
| 5172 |
]
|
| 5173 |
},
|
| 5174 |
"geo.lidar": {
|
|
@@ -5180,7 +5236,8 @@
|
|
| 5180 |
2023,
|
| 5181 |
2022,
|
| 5182 |
2021,
|
| 5183 |
-
2020
|
|
|
|
| 5184 |
]
|
| 5185 |
},
|
| 5186 |
"geo.mobility-modeling": {
|
|
@@ -5192,7 +5249,8 @@
|
|
| 5192 |
2023,
|
| 5193 |
2022,
|
| 5194 |
2021,
|
| 5195 |
-
2020
|
|
|
|
| 5196 |
]
|
| 5197 |
},
|
| 5198 |
"geo.object-detection": {
|
|
@@ -5204,7 +5262,8 @@
|
|
| 5204 |
2023,
|
| 5205 |
2022,
|
| 5206 |
2021,
|
| 5207 |
-
2020
|
|
|
|
| 5208 |
]
|
| 5209 |
},
|
| 5210 |
"geo.ocean-remote-sensing": {
|
|
@@ -5216,7 +5275,8 @@
|
|
| 5216 |
2023,
|
| 5217 |
2022,
|
| 5218 |
2021,
|
| 5219 |
-
2020
|
|
|
|
| 5220 |
]
|
| 5221 |
},
|
| 5222 |
"geo.precipitation-forecasting": {
|
|
@@ -5439,7 +5499,8 @@
|
|
| 5439 |
2023,
|
| 5440 |
2022,
|
| 5441 |
2021,
|
| 5442 |
-
2020
|
|
|
|
| 5443 |
]
|
| 5444 |
},
|
| 5445 |
"graph.graph-foundation-model": {
|
|
@@ -5451,7 +5512,8 @@
|
|
| 5451 |
2023,
|
| 5452 |
2022,
|
| 5453 |
2021,
|
| 5454 |
-
2020
|
|
|
|
| 5455 |
]
|
| 5456 |
},
|
| 5457 |
"graph.graph-generation": {
|
|
@@ -5463,7 +5525,8 @@
|
|
| 5463 |
2023,
|
| 5464 |
2022,
|
| 5465 |
2021,
|
| 5466 |
-
2020
|
|
|
|
| 5467 |
]
|
| 5468 |
},
|
| 5469 |
"graph.graph-transformer": {
|
|
@@ -5475,7 +5538,8 @@
|
|
| 5475 |
2023,
|
| 5476 |
2022,
|
| 5477 |
2021,
|
| 5478 |
-
2020
|
|
|
|
| 5479 |
]
|
| 5480 |
},
|
| 5481 |
"graph.hypergraph-neural-network": {
|
|
@@ -5487,7 +5551,8 @@
|
|
| 5487 |
2023,
|
| 5488 |
2022,
|
| 5489 |
2021,
|
| 5490 |
-
2020
|
|
|
|
| 5491 |
]
|
| 5492 |
},
|
| 5493 |
"graph.knowledge-graph-embedding": {
|
|
@@ -5499,7 +5564,8 @@
|
|
| 5499 |
2023,
|
| 5500 |
2022,
|
| 5501 |
2021,
|
| 5502 |
-
2020
|
|
|
|
| 5503 |
]
|
| 5504 |
},
|
| 5505 |
"graph.knowledge-graphs": {
|
|
@@ -5511,7 +5577,8 @@
|
|
| 5511 |
2023,
|
| 5512 |
2022,
|
| 5513 |
2021,
|
| 5514 |
-
2020
|
|
|
|
| 5515 |
]
|
| 5516 |
},
|
| 5517 |
"graph.link-prediction": {
|
|
@@ -5523,7 +5590,8 @@
|
|
| 5523 |
2023,
|
| 5524 |
2022,
|
| 5525 |
2021,
|
| 5526 |
-
2020
|
|
|
|
| 5527 |
]
|
| 5528 |
},
|
| 5529 |
"graph.manifold-learning": {
|
|
@@ -5535,7 +5603,8 @@
|
|
| 5535 |
2023,
|
| 5536 |
2022,
|
| 5537 |
2021,
|
| 5538 |
-
2020
|
|
|
|
| 5539 |
]
|
| 5540 |
},
|
| 5541 |
"graph.mesh-graph-learning": {
|
|
@@ -5547,7 +5616,8 @@
|
|
| 5547 |
2023,
|
| 5548 |
2022,
|
| 5549 |
2021,
|
| 5550 |
-
2020
|
|
|
|
| 5551 |
]
|
| 5552 |
},
|
| 5553 |
"graph.molecular-graphs": {
|
|
@@ -5822,7 +5892,8 @@
|
|
| 5822 |
2023,
|
| 5823 |
2022,
|
| 5824 |
2021,
|
| 5825 |
-
2020
|
|
|
|
| 5826 |
]
|
| 5827 |
},
|
| 5828 |
"llm.generative-ai": {
|
|
@@ -5834,7 +5905,8 @@
|
|
| 5834 |
2023,
|
| 5835 |
2022,
|
| 5836 |
2021,
|
| 5837 |
-
2020
|
|
|
|
| 5838 |
]
|
| 5839 |
},
|
| 5840 |
"llm.instruction-tuning": {
|
|
@@ -5846,7 +5918,8 @@
|
|
| 5846 |
2023,
|
| 5847 |
2022,
|
| 5848 |
2021,
|
| 5849 |
-
2020
|
|
|
|
| 5850 |
]
|
| 5851 |
},
|
| 5852 |
"llm.language-model": {
|
|
@@ -5858,7 +5931,8 @@
|
|
| 5858 |
2023,
|
| 5859 |
2022,
|
| 5860 |
2021,
|
| 5861 |
-
2020
|
|
|
|
| 5862 |
]
|
| 5863 |
},
|
| 5864 |
"llm.language-models": {
|
|
@@ -5870,7 +5944,8 @@
|
|
| 5870 |
2023,
|
| 5871 |
2022,
|
| 5872 |
2021,
|
| 5873 |
-
2020
|
|
|
|
| 5874 |
]
|
| 5875 |
},
|
| 5876 |
"llm.large-language-model": {
|
|
@@ -5882,7 +5957,8 @@
|
|
| 5882 |
2023,
|
| 5883 |
2022,
|
| 5884 |
2021,
|
| 5885 |
-
2020
|
|
|
|
| 5886 |
]
|
| 5887 |
},
|
| 5888 |
"llm.long-context": {
|
|
@@ -5894,7 +5970,8 @@
|
|
| 5894 |
2023,
|
| 5895 |
2022,
|
| 5896 |
2021,
|
| 5897 |
-
2020
|
|
|
|
| 5898 |
]
|
| 5899 |
},
|
| 5900 |
"llm.multimodal": {
|
|
@@ -5906,7 +5983,8 @@
|
|
| 5906 |
2023,
|
| 5907 |
2022,
|
| 5908 |
2021,
|
| 5909 |
-
2020
|
|
|
|
| 5910 |
]
|
| 5911 |
},
|
| 5912 |
"llm.parameter-efficient-finetuning": {
|
|
@@ -5918,7 +5996,8 @@
|
|
| 5918 |
2023,
|
| 5919 |
2022,
|
| 5920 |
2021,
|
| 5921 |
-
2020
|
|
|
|
| 5922 |
]
|
| 5923 |
},
|
| 5924 |
"llm.preference-optimization": {
|
|
@@ -5930,7 +6009,8 @@
|
|
| 5930 |
2023,
|
| 5931 |
2022,
|
| 5932 |
2021,
|
| 5933 |
-
2020
|
|
|
|
| 5934 |
]
|
| 5935 |
},
|
| 5936 |
"llm.quantization": {
|
|
@@ -6196,7 +6276,8 @@
|
|
| 6196 |
2023,
|
| 6197 |
2022,
|
| 6198 |
2021,
|
| 6199 |
-
2020
|
|
|
|
| 6200 |
]
|
| 6201 |
},
|
| 6202 |
"medical.eeg": {
|
|
@@ -6208,7 +6289,8 @@
|
|
| 6208 |
2023,
|
| 6209 |
2022,
|
| 6210 |
2021,
|
| 6211 |
-
2020
|
|
|
|
| 6212 |
]
|
| 6213 |
},
|
| 6214 |
"medical.ehr": {
|
|
@@ -6220,7 +6302,8 @@
|
|
| 6220 |
2023,
|
| 6221 |
2022,
|
| 6222 |
2021,
|
| 6223 |
-
2020
|
|
|
|
| 6224 |
]
|
| 6225 |
},
|
| 6226 |
"medical.genomics": {
|
|
@@ -6232,7 +6315,8 @@
|
|
| 6232 |
2023,
|
| 6233 |
2022,
|
| 6234 |
2021,
|
| 6235 |
-
2020
|
|
|
|
| 6236 |
]
|
| 6237 |
},
|
| 6238 |
"medical.histopathology": {
|
|
@@ -6244,7 +6328,8 @@
|
|
| 6244 |
2023,
|
| 6245 |
2022,
|
| 6246 |
2021,
|
| 6247 |
-
2020
|
|
|
|
| 6248 |
]
|
| 6249 |
},
|
| 6250 |
"medical.medical-image-reconstruction": {
|
|
@@ -6256,7 +6341,8 @@
|
|
| 6256 |
2023,
|
| 6257 |
2022,
|
| 6258 |
2021,
|
| 6259 |
-
2020
|
|
|
|
| 6260 |
]
|
| 6261 |
},
|
| 6262 |
"medical.medical-image-registration": {
|
|
@@ -6268,7 +6354,8 @@
|
|
| 6268 |
2023,
|
| 6269 |
2022,
|
| 6270 |
2021,
|
| 6271 |
-
2020
|
|
|
|
| 6272 |
]
|
| 6273 |
},
|
| 6274 |
"medical.medical-image-segmentation": {
|
|
@@ -6280,7 +6367,8 @@
|
|
| 6280 |
2023,
|
| 6281 |
2022,
|
| 6282 |
2021,
|
| 6283 |
-
2020
|
|
|
|
| 6284 |
]
|
| 6285 |
},
|
| 6286 |
"medical.medical-imaging": {
|
|
@@ -6292,7 +6380,8 @@
|
|
| 6292 |
2023,
|
| 6293 |
2022,
|
| 6294 |
2021,
|
| 6295 |
-
2020
|
|
|
|
| 6296 |
]
|
| 6297 |
},
|
| 6298 |
"medical.medical-language-model": {
|
|
@@ -6304,7 +6393,8 @@
|
|
| 6304 |
2023,
|
| 6305 |
2022,
|
| 6306 |
2021,
|
| 6307 |
-
2020
|
|
|
|
| 6308 |
]
|
| 6309 |
},
|
| 6310 |
"medical.medical-robotics": {
|
|
@@ -6527,7 +6617,8 @@
|
|
| 6527 |
2023,
|
| 6528 |
2022,
|
| 6529 |
2021,
|
| 6530 |
-
2020
|
|
|
|
| 6531 |
]
|
| 6532 |
},
|
| 6533 |
"multimodal.image-to-3d": {
|
|
@@ -6539,7 +6630,8 @@
|
|
| 6539 |
2023,
|
| 6540 |
2022,
|
| 6541 |
2021,
|
| 6542 |
-
2020
|
|
|
|
| 6543 |
]
|
| 6544 |
},
|
| 6545 |
"multimodal.image-to-video": {
|
|
@@ -6551,7 +6643,8 @@
|
|
| 6551 |
2023,
|
| 6552 |
2022,
|
| 6553 |
2021,
|
| 6554 |
-
2020
|
|
|
|
| 6555 |
]
|
| 6556 |
},
|
| 6557 |
"multimodal.motion-generation": {
|
|
@@ -6563,7 +6656,8 @@
|
|
| 6563 |
2023,
|
| 6564 |
2022,
|
| 6565 |
2021,
|
| 6566 |
-
2020
|
|
|
|
| 6567 |
]
|
| 6568 |
},
|
| 6569 |
"multimodal.nerf": {
|
|
@@ -6575,7 +6669,8 @@
|
|
| 6575 |
2023,
|
| 6576 |
2022,
|
| 6577 |
2021,
|
| 6578 |
-
2020
|
|
|
|
| 6579 |
]
|
| 6580 |
},
|
| 6581 |
"multimodal.neural-rendering": {
|
|
@@ -6587,7 +6682,8 @@
|
|
| 6587 |
2023,
|
| 6588 |
2022,
|
| 6589 |
2021,
|
| 6590 |
-
2020
|
|
|
|
| 6591 |
]
|
| 6592 |
},
|
| 6593 |
"multimodal.point-cloud": {
|
|
@@ -6599,7 +6695,8 @@
|
|
| 6599 |
2023,
|
| 6600 |
2022,
|
| 6601 |
2021,
|
| 6602 |
-
2020
|
|
|
|
| 6603 |
]
|
| 6604 |
},
|
| 6605 |
"multimodal.scene-understanding": {
|
|
@@ -6611,7 +6708,8 @@
|
|
| 6611 |
2023,
|
| 6612 |
2022,
|
| 6613 |
2021,
|
| 6614 |
-
2020
|
|
|
|
| 6615 |
]
|
| 6616 |
},
|
| 6617 |
"multimodal.text-to-3d": {
|
|
@@ -6623,7 +6721,8 @@
|
|
| 6623 |
2023,
|
| 6624 |
2022,
|
| 6625 |
2021,
|
| 6626 |
-
2020
|
|
|
|
| 6627 |
]
|
| 6628 |
},
|
| 6629 |
"multimodal.text-to-image": {
|
|
@@ -6635,7 +6734,8 @@
|
|
| 6635 |
2023,
|
| 6636 |
2022,
|
| 6637 |
2021,
|
| 6638 |
-
2020
|
|
|
|
| 6639 |
]
|
| 6640 |
},
|
| 6641 |
"multimodal.text-to-video": {
|
|
@@ -6925,7 +7025,8 @@
|
|
| 6925 |
2023,
|
| 6926 |
2022,
|
| 6927 |
2021,
|
| 6928 |
-
2020
|
|
|
|
| 6929 |
]
|
| 6930 |
},
|
| 6931 |
"nlp.named-entity-recognition": {
|
|
@@ -6937,7 +7038,8 @@
|
|
| 6937 |
2023,
|
| 6938 |
2022,
|
| 6939 |
2021,
|
| 6940 |
-
2020
|
|
|
|
| 6941 |
]
|
| 6942 |
},
|
| 6943 |
"nlp.neural-reranking": {
|
|
@@ -6949,7 +7051,8 @@
|
|
| 6949 |
2023,
|
| 6950 |
2022,
|
| 6951 |
2021,
|
| 6952 |
-
2020
|
|
|
|
| 6953 |
]
|
| 6954 |
},
|
| 6955 |
"nlp.question-answering": {
|
|
@@ -6961,7 +7064,8 @@
|
|
| 6961 |
2023,
|
| 6962 |
2022,
|
| 6963 |
2021,
|
| 6964 |
-
2020
|
|
|
|
| 6965 |
]
|
| 6966 |
},
|
| 6967 |
"nlp.rag": {
|
|
@@ -6973,7 +7077,8 @@
|
|
| 6973 |
2023,
|
| 6974 |
2022,
|
| 6975 |
2021,
|
| 6976 |
-
2020
|
|
|
|
| 6977 |
]
|
| 6978 |
},
|
| 6979 |
"nlp.semantic-search": {
|
|
@@ -6985,7 +7090,8 @@
|
|
| 6985 |
2023,
|
| 6986 |
2022,
|
| 6987 |
2021,
|
| 6988 |
-
2020
|
|
|
|
| 6989 |
]
|
| 6990 |
},
|
| 6991 |
"nlp.sentence-embeddings": {
|
|
@@ -6997,7 +7103,8 @@
|
|
| 6997 |
2023,
|
| 6998 |
2022,
|
| 6999 |
2021,
|
| 7000 |
-
2020
|
|
|
|
| 7001 |
]
|
| 7002 |
},
|
| 7003 |
"nlp.subword-tokenization": {
|
|
@@ -7009,7 +7116,8 @@
|
|
| 7009 |
2023,
|
| 7010 |
2022,
|
| 7011 |
2021,
|
| 7012 |
-
2020
|
|
|
|
| 7013 |
]
|
| 7014 |
},
|
| 7015 |
"nlp.text-classification": {
|
|
@@ -7021,7 +7129,8 @@
|
|
| 7021 |
2023,
|
| 7022 |
2022,
|
| 7023 |
2021,
|
| 7024 |
-
2020
|
|
|
|
| 7025 |
]
|
| 7026 |
},
|
| 7027 |
"nlp.text-generation": {
|
|
@@ -7033,7 +7142,8 @@
|
|
| 7033 |
2023,
|
| 7034 |
2022,
|
| 7035 |
2021,
|
| 7036 |
-
2020
|
|
|
|
| 7037 |
]
|
| 7038 |
},
|
| 7039 |
"nlp.text-summarization": {
|
|
@@ -7160,7 +7270,8 @@
|
|
| 7160 |
2023,
|
| 7161 |
2022,
|
| 7162 |
2021,
|
| 7163 |
-
2020
|
|
|
|
| 7164 |
]
|
| 7165 |
},
|
| 7166 |
"probable.data-training-selection": {
|
|
@@ -7172,7 +7283,8 @@
|
|
| 7172 |
2023,
|
| 7173 |
2022,
|
| 7174 |
2021,
|
| 7175 |
-
2020
|
|
|
|
| 7176 |
]
|
| 7177 |
},
|
| 7178 |
"probable.evaluation-ml-benchmark": {
|
|
@@ -7184,7 +7296,8 @@
|
|
| 7184 |
2023,
|
| 7185 |
2022,
|
| 7186 |
2021,
|
| 7187 |
-
2020
|
|
|
|
| 7188 |
]
|
| 7189 |
},
|
| 7190 |
"probable.evaluation-model-calibration-readme": {
|
|
@@ -7196,7 +7309,8 @@
|
|
| 7196 |
2023,
|
| 7197 |
2022,
|
| 7198 |
2021,
|
| 7199 |
-
2020
|
|
|
|
| 7200 |
]
|
| 7201 |
},
|
| 7202 |
"probable.evaluation-ood-readme": {
|
|
@@ -7208,7 +7322,8 @@
|
|
| 7208 |
2023,
|
| 7209 |
2022,
|
| 7210 |
2021,
|
| 7211 |
-
2020
|
|
|
|
| 7212 |
]
|
| 7213 |
},
|
| 7214 |
"probable.scientific-data-assimilation": {
|
|
@@ -7220,7 +7335,8 @@
|
|
| 7220 |
2023,
|
| 7221 |
2022,
|
| 7222 |
2021,
|
| 7223 |
-
2020
|
|
|
|
| 7224 |
]
|
| 7225 |
},
|
| 7226 |
"probable.scientific-reduced-order-modeling": {
|
|
@@ -7232,7 +7348,8 @@
|
|
| 7232 |
2023,
|
| 7233 |
2022,
|
| 7234 |
2021,
|
| 7235 |
-
2020
|
|
|
|
| 7236 |
]
|
| 7237 |
},
|
| 7238 |
"probable.scientific-surrogate-modeling": {
|
|
@@ -7244,7 +7361,8 @@
|
|
| 7244 |
2023,
|
| 7245 |
2022,
|
| 7246 |
2021,
|
| 7247 |
-
2020
|
|
|
|
| 7248 |
]
|
| 7249 |
},
|
| 7250 |
"probable.scientific-system-identification": {
|
|
@@ -7256,7 +7374,8 @@
|
|
| 7256 |
2023,
|
| 7257 |
2022,
|
| 7258 |
2021,
|
| 7259 |
-
2020
|
|
|
|
| 7260 |
]
|
| 7261 |
},
|
| 7262 |
"recall.archaeological-remote-sensing": {
|
|
@@ -7359,7 +7478,8 @@
|
|
| 7359 |
2023,
|
| 7360 |
2022,
|
| 7361 |
2021,
|
| 7362 |
-
2020
|
|
|
|
| 7363 |
]
|
| 7364 |
},
|
| 7365 |
"recall.epidemiological-modeling": {
|
|
@@ -7371,7 +7491,8 @@
|
|
| 7371 |
2023,
|
| 7372 |
2022,
|
| 7373 |
2021,
|
| 7374 |
-
2020
|
|
|
|
| 7375 |
]
|
| 7376 |
},
|
| 7377 |
"recall.grid-stability-prediction": {
|
|
@@ -7383,7 +7504,8 @@
|
|
| 7383 |
2023,
|
| 7384 |
2022,
|
| 7385 |
2021,
|
| 7386 |
-
2020
|
|
|
|
| 7387 |
]
|
| 7388 |
},
|
| 7389 |
"recall.historical-document-recognition": {
|
|
@@ -7395,7 +7517,8 @@
|
|
| 7395 |
2023,
|
| 7396 |
2022,
|
| 7397 |
2021,
|
| 7398 |
-
2020
|
|
|
|
| 7399 |
]
|
| 7400 |
},
|
| 7401 |
"recall.infrastructure-damage-detection": {
|
|
@@ -7407,7 +7530,8 @@
|
|
| 7407 |
2023,
|
| 7408 |
2022,
|
| 7409 |
2021,
|
| 7410 |
-
2020
|
|
|
|
| 7411 |
]
|
| 7412 |
},
|
| 7413 |
"recall.insurance-risk-modeling": {
|
|
@@ -7419,7 +7543,8 @@
|
|
| 7419 |
2023,
|
| 7420 |
2022,
|
| 7421 |
2021,
|
| 7422 |
-
2020
|
|
|
|
| 7423 |
]
|
| 7424 |
},
|
| 7425 |
"recall.legal-document-classification": {
|
|
@@ -7431,7 +7556,8 @@
|
|
| 7431 |
2023,
|
| 7432 |
2022,
|
| 7433 |
2021,
|
| 7434 |
-
2020
|
|
|
|
| 7435 |
]
|
| 7436 |
},
|
| 7437 |
"recall.legal-nlp": {
|
|
@@ -7443,7 +7569,8 @@
|
|
| 7443 |
2023,
|
| 7444 |
2022,
|
| 7445 |
2021,
|
| 7446 |
-
2020
|
|
|
|
| 7447 |
]
|
| 7448 |
},
|
| 7449 |
"recall.name.artificial-intelligence": {
|
|
@@ -7455,7 +7582,8 @@
|
|
| 7455 |
2023,
|
| 7456 |
2022,
|
| 7457 |
2021,
|
| 7458 |
-
2020
|
|
|
|
| 7459 |
]
|
| 7460 |
},
|
| 7461 |
"recall.name.deep-learning": {
|
|
@@ -7467,7 +7595,8 @@
|
|
| 7467 |
2023,
|
| 7468 |
2022,
|
| 7469 |
2021,
|
| 7470 |
-
2020
|
|
|
|
| 7471 |
]
|
| 7472 |
},
|
| 7473 |
"recall.name.diffusion-model": {
|
|
@@ -7750,7 +7879,8 @@
|
|
| 7750 |
2023,
|
| 7751 |
2022,
|
| 7752 |
2021,
|
| 7753 |
-
2020
|
|
|
|
| 7754 |
]
|
| 7755 |
},
|
| 7756 |
"rl.bandits": {
|
|
@@ -7853,7 +7983,8 @@
|
|
| 7853 |
2023,
|
| 7854 |
2022,
|
| 7855 |
2021,
|
| 7856 |
-
2020
|
|
|
|
| 7857 |
]
|
| 7858 |
},
|
| 7859 |
"rl.hierarchical": {
|
|
@@ -7865,7 +7996,8 @@
|
|
| 7865 |
2023,
|
| 7866 |
2022,
|
| 7867 |
2021,
|
| 7868 |
-
2020
|
|
|
|
| 7869 |
]
|
| 7870 |
},
|
| 7871 |
"rl.imitation-learning": {
|
|
@@ -7877,7 +8009,8 @@
|
|
| 7877 |
2023,
|
| 7878 |
2022,
|
| 7879 |
2021,
|
| 7880 |
-
2020
|
|
|
|
| 7881 |
]
|
| 7882 |
},
|
| 7883 |
"rl.inverse": {
|
|
@@ -7889,7 +8022,8 @@
|
|
| 7889 |
2023,
|
| 7890 |
2022,
|
| 7891 |
2021,
|
| 7892 |
-
2020
|
|
|
|
| 7893 |
]
|
| 7894 |
},
|
| 7895 |
"rl.model-based": {
|
|
@@ -7901,7 +8035,8 @@
|
|
| 7901 |
2023,
|
| 7902 |
2022,
|
| 7903 |
2021,
|
| 7904 |
-
2020
|
|
|
|
| 7905 |
]
|
| 7906 |
},
|
| 7907 |
"rl.model-free": {
|
|
@@ -7913,7 +8048,8 @@
|
|
| 7913 |
2023,
|
| 7914 |
2022,
|
| 7915 |
2021,
|
| 7916 |
-
2020
|
|
|
|
| 7917 |
]
|
| 7918 |
},
|
| 7919 |
"rl.multiagent": {
|
|
@@ -7925,7 +8061,8 @@
|
|
| 7925 |
2023,
|
| 7926 |
2022,
|
| 7927 |
2021,
|
| 7928 |
-
2020
|
|
|
|
| 7929 |
]
|
| 7930 |
},
|
| 7931 |
"rl.offline": {
|
|
@@ -7937,7 +8074,8 @@
|
|
| 7937 |
2023,
|
| 7938 |
2022,
|
| 7939 |
2021,
|
| 7940 |
-
2020
|
|
|
|
| 7941 |
]
|
| 7942 |
},
|
| 7943 |
"rl.planning": {
|
|
@@ -7949,7 +8087,8 @@
|
|
| 7949 |
2023,
|
| 7950 |
2022,
|
| 7951 |
2021,
|
| 7952 |
-
2020
|
|
|
|
| 7953 |
]
|
| 7954 |
},
|
| 7955 |
"rl.policy-gradient": {
|
|
@@ -7961,7 +8100,8 @@
|
|
| 7961 |
2023,
|
| 7962 |
2022,
|
| 7963 |
2021,
|
| 7964 |
-
2020
|
|
|
|
| 7965 |
]
|
| 7966 |
},
|
| 7967 |
"rl.ppo": {
|
|
@@ -8124,7 +8264,8 @@
|
|
| 8124 |
2023,
|
| 8125 |
2022,
|
| 8126 |
2021,
|
| 8127 |
-
2020
|
|
|
|
| 8128 |
]
|
| 8129 |
},
|
| 8130 |
"robotics.manipulation": {
|
|
@@ -8136,7 +8277,8 @@
|
|
| 8136 |
2023,
|
| 8137 |
2022,
|
| 8138 |
2021,
|
| 8139 |
-
2020
|
|
|
|
| 8140 |
]
|
| 8141 |
},
|
| 8142 |
"robotics.navigation": {
|
|
@@ -8148,7 +8290,8 @@
|
|
| 8148 |
2023,
|
| 8149 |
2022,
|
| 8150 |
2021,
|
| 8151 |
-
2020
|
|
|
|
| 8152 |
]
|
| 8153 |
},
|
| 8154 |
"robotics.robot-control": {
|
|
@@ -8160,7 +8303,8 @@
|
|
| 8160 |
2023,
|
| 8161 |
2022,
|
| 8162 |
2021,
|
| 8163 |
-
2020
|
|
|
|
| 8164 |
]
|
| 8165 |
},
|
| 8166 |
"robotics.robot-foundation-model": {
|
|
@@ -8172,7 +8316,8 @@
|
|
| 8172 |
2023,
|
| 8173 |
2022,
|
| 8174 |
2021,
|
| 8175 |
-
2020
|
|
|
|
| 8176 |
]
|
| 8177 |
},
|
| 8178 |
"robotics.robot-learning": {
|
|
@@ -8184,7 +8329,8 @@
|
|
| 8184 |
2023,
|
| 8185 |
2022,
|
| 8186 |
2021,
|
| 8187 |
-
2020
|
|
|
|
| 8188 |
]
|
| 8189 |
},
|
| 8190 |
"robotics.robot-manipulation-learning": {
|
|
@@ -8196,7 +8342,8 @@
|
|
| 8196 |
2023,
|
| 8197 |
2022,
|
| 8198 |
2021,
|
| 8199 |
-
2020
|
|
|
|
| 8200 |
]
|
| 8201 |
},
|
| 8202 |
"robotics.robot-motion-planning": {
|
|
@@ -8208,7 +8355,8 @@
|
|
| 8208 |
2023,
|
| 8209 |
2022,
|
| 8210 |
2021,
|
| 8211 |
-
2020
|
|
|
|
| 8212 |
]
|
| 8213 |
},
|
| 8214 |
"robotics.robotics-reinforcement-learning": {
|
|
@@ -8220,7 +8368,8 @@
|
|
| 8220 |
2023,
|
| 8221 |
2022,
|
| 8222 |
2021,
|
| 8223 |
-
2020
|
|
|
|
| 8224 |
]
|
| 8225 |
},
|
| 8226 |
"robotics.robotics-topic": {
|
|
@@ -8232,7 +8381,8 @@
|
|
| 8232 |
2023,
|
| 8233 |
2022,
|
| 8234 |
2021,
|
| 8235 |
-
2020
|
|
|
|
| 8236 |
]
|
| 8237 |
},
|
| 8238 |
"robotics.sim2real": {
|
|
@@ -8394,7 +8544,8 @@
|
|
| 8394 |
2023,
|
| 8395 |
2022,
|
| 8396 |
2021,
|
| 8397 |
-
2020
|
|
|
|
| 8398 |
]
|
| 8399 |
},
|
| 8400 |
"science.fluid-dynamics": {
|
|
@@ -8406,7 +8557,8 @@
|
|
| 8406 |
2023,
|
| 8407 |
2022,
|
| 8408 |
2021,
|
| 8409 |
-
2020
|
|
|
|
| 8410 |
]
|
| 8411 |
},
|
| 8412 |
"science.fusion-plasma": {
|
|
@@ -8418,7 +8570,8 @@
|
|
| 8418 |
2023,
|
| 8419 |
2022,
|
| 8420 |
2021,
|
| 8421 |
-
2020
|
|
|
|
| 8422 |
]
|
| 8423 |
},
|
| 8424 |
"science.gravitational-waves": {
|
|
@@ -8430,7 +8583,8 @@
|
|
| 8430 |
2023,
|
| 8431 |
2022,
|
| 8432 |
2021,
|
| 8433 |
-
2020
|
|
|
|
| 8434 |
]
|
| 8435 |
},
|
| 8436 |
"science.inverse-problems": {
|
|
@@ -8442,7 +8596,8 @@
|
|
| 8442 |
2023,
|
| 8443 |
2022,
|
| 8444 |
2021,
|
| 8445 |
-
2020
|
|
|
|
| 8446 |
]
|
| 8447 |
},
|
| 8448 |
"science.neural-operators": {
|
|
@@ -8454,7 +8609,8 @@
|
|
| 8454 |
2023,
|
| 8455 |
2022,
|
| 8456 |
2021,
|
| 8457 |
-
2020
|
|
|
|
| 8458 |
]
|
| 8459 |
},
|
| 8460 |
"science.ocean-modeling": {
|
|
@@ -8466,7 +8622,8 @@
|
|
| 8466 |
2023,
|
| 8467 |
2022,
|
| 8468 |
2021,
|
| 8469 |
-
2020
|
|
|
|
| 8470 |
]
|
| 8471 |
},
|
| 8472 |
"science.particle-physics": {
|
|
@@ -8478,7 +8635,8 @@
|
|
| 8478 |
2023,
|
| 8479 |
2022,
|
| 8480 |
2021,
|
| 8481 |
-
2020
|
|
|
|
| 8482 |
]
|
| 8483 |
},
|
| 8484 |
"science.photonics": {
|
|
@@ -8490,7 +8648,8 @@
|
|
| 8490 |
2023,
|
| 8491 |
2022,
|
| 8492 |
2021,
|
| 8493 |
-
2020
|
|
|
|
| 8494 |
]
|
| 8495 |
},
|
| 8496 |
"science.physics": {
|
|
@@ -8502,7 +8661,8 @@
|
|
| 8502 |
2023,
|
| 8503 |
2022,
|
| 8504 |
2021,
|
| 8505 |
-
2020
|
|
|
|
| 8506 |
]
|
| 8507 |
},
|
| 8508 |
"science.physics-informed-neural-networks": {
|
|
@@ -8514,7 +8674,8 @@
|
|
| 8514 |
2023,
|
| 8515 |
2022,
|
| 8516 |
2021,
|
| 8517 |
-
2020
|
|
|
|
| 8518 |
]
|
| 8519 |
},
|
| 8520 |
"science.plasma-physics": {
|
|
@@ -8712,7 +8873,8 @@
|
|
| 8712 |
2023,
|
| 8713 |
2022,
|
| 8714 |
2021,
|
| 8715 |
-
2020
|
|
|
|
| 8716 |
]
|
| 8717 |
},
|
| 8718 |
"specialized.event-camera-deep-learning": {
|
|
@@ -8724,7 +8886,8 @@
|
|
| 8724 |
2023,
|
| 8725 |
2022,
|
| 8726 |
2021,
|
| 8727 |
-
2020
|
|
|
|
| 8728 |
]
|
| 8729 |
},
|
| 8730 |
"specialized.fmri-decoding-ml": {
|
|
@@ -8736,7 +8899,8 @@
|
|
| 8736 |
2023,
|
| 8737 |
2022,
|
| 8738 |
2021,
|
| 8739 |
-
2020
|
|
|
|
| 8740 |
]
|
| 8741 |
},
|
| 8742 |
"specialized.machine-unlearning": {
|
|
@@ -8748,7 +8912,8 @@
|
|
| 8748 |
2023,
|
| 8749 |
2022,
|
| 8750 |
2021,
|
| 8751 |
-
2020
|
|
|
|
| 8752 |
]
|
| 8753 |
},
|
| 8754 |
"specialized.mechanistic-interpretability": {
|
|
@@ -8760,7 +8925,8 @@
|
|
| 8760 |
2023,
|
| 8761 |
2022,
|
| 8762 |
2021,
|
| 8763 |
-
2020
|
|
|
|
| 8764 |
]
|
| 8765 |
},
|
| 8766 |
"specialized.medical-image-registration-deep-learning": {
|
|
@@ -8772,7 +8938,8 @@
|
|
| 8772 |
2023,
|
| 8773 |
2022,
|
| 8774 |
2021,
|
| 8775 |
-
2020
|
|
|
|
| 8776 |
]
|
| 8777 |
},
|
| 8778 |
"specialized.pathology-foundation-model": {
|
|
@@ -8784,7 +8951,8 @@
|
|
| 8784 |
2023,
|
| 8785 |
2022,
|
| 8786 |
2021,
|
| 8787 |
-
2020
|
|
|
|
| 8788 |
]
|
| 8789 |
},
|
| 8790 |
"specialized.spiking-neural-network": {
|
|
@@ -8796,7 +8964,8 @@
|
|
| 8796 |
2023,
|
| 8797 |
2022,
|
| 8798 |
2021,
|
| 8799 |
-
2020
|
|
|
|
| 8800 |
]
|
| 8801 |
},
|
| 8802 |
"specialized.test-time-adaptation": {
|
|
@@ -8808,7 +8977,8 @@
|
|
| 8808 |
2023,
|
| 8809 |
2022,
|
| 8810 |
2021,
|
| 8811 |
-
2020
|
|
|
|
| 8812 |
]
|
| 8813 |
},
|
| 8814 |
"timeseries.anomaly-detection": {
|
|
@@ -8898,7 +9068,8 @@
|
|
| 8898 |
2023,
|
| 8899 |
2022,
|
| 8900 |
2021,
|
| 8901 |
-
2020
|
|
|
|
| 8902 |
]
|
| 8903 |
},
|
| 8904 |
"timeseries.imputation": {
|
|
@@ -8910,7 +9081,8 @@
|
|
| 8910 |
2023,
|
| 8911 |
2022,
|
| 8912 |
2021,
|
| 8913 |
-
2020
|
|
|
|
| 8914 |
]
|
| 8915 |
},
|
| 8916 |
"timeseries.long-horizon": {
|
|
@@ -8922,7 +9094,8 @@
|
|
| 8922 |
2023,
|
| 8923 |
2022,
|
| 8924 |
2021,
|
| 8925 |
-
2020
|
|
|
|
| 8926 |
]
|
| 8927 |
},
|
| 8928 |
"timeseries.multivariate": {
|
|
@@ -8934,7 +9107,8 @@
|
|
| 8934 |
2023,
|
| 8935 |
2022,
|
| 8936 |
2021,
|
| 8937 |
-
2020
|
|
|
|
| 8938 |
]
|
| 8939 |
},
|
| 8940 |
"timeseries.nbeats": {
|
|
@@ -8946,7 +9120,8 @@
|
|
| 8946 |
2023,
|
| 8947 |
2022,
|
| 8948 |
2021,
|
| 8949 |
-
2020
|
|
|
|
| 8950 |
]
|
| 8951 |
},
|
| 8952 |
"timeseries.patchtst": {
|
|
@@ -8958,7 +9133,8 @@
|
|
| 8958 |
2023,
|
| 8959 |
2022,
|
| 8960 |
2021,
|
| 8961 |
-
2020
|
|
|
|
| 8962 |
]
|
| 8963 |
},
|
| 8964 |
"timeseries.predictive-maintenance": {
|
|
@@ -8970,7 +9146,8 @@
|
|
| 8970 |
2023,
|
| 8971 |
2022,
|
| 8972 |
2021,
|
| 8973 |
-
2020
|
|
|
|
| 8974 |
]
|
| 8975 |
},
|
| 8976 |
"timeseries.probabilistic-forecasting": {
|
|
@@ -8982,7 +9159,8 @@
|
|
| 8982 |
2023,
|
| 8983 |
2022,
|
| 8984 |
2021,
|
| 8985 |
-
2020
|
|
|
|
| 8986 |
]
|
| 8987 |
},
|
| 8988 |
"timeseries.remaining-useful-life": {
|
|
@@ -8994,7 +9172,8 @@
|
|
| 8994 |
2023,
|
| 8995 |
2022,
|
| 8996 |
2021,
|
| 8997 |
-
2020
|
|
|
|
| 8998 |
]
|
| 8999 |
},
|
| 9000 |
"timeseries.sensor-data": {
|
|
@@ -9006,7 +9185,8 @@
|
|
| 9006 |
2023,
|
| 9007 |
2022,
|
| 9008 |
2021,
|
| 9009 |
-
2020
|
|
|
|
| 9010 |
]
|
| 9011 |
},
|
| 9012 |
"timeseries.state-space-models": {
|
|
@@ -9216,7 +9396,8 @@
|
|
| 9216 |
2023,
|
| 9217 |
2022,
|
| 9218 |
2021,
|
| 9219 |
-
2020
|
|
|
|
| 9220 |
]
|
| 9221 |
},
|
| 9222 |
"trust.causal-mediation": {
|
|
@@ -9228,7 +9409,8 @@
|
|
| 9228 |
2023,
|
| 9229 |
2022,
|
| 9230 |
2021,
|
| 9231 |
-
2020
|
|
|
|
| 9232 |
]
|
| 9233 |
},
|
| 9234 |
"trust.causal-ml": {
|
|
@@ -9240,7 +9422,8 @@
|
|
| 9240 |
2023,
|
| 9241 |
2022,
|
| 9242 |
2021,
|
| 9243 |
-
2020
|
|
|
|
| 9244 |
]
|
| 9245 |
},
|
| 9246 |
"trust.causal-representation-learning": {
|
|
@@ -9252,7 +9435,8 @@
|
|
| 9252 |
2023,
|
| 9253 |
2022,
|
| 9254 |
2021,
|
| 9255 |
-
2020
|
|
|
|
| 9256 |
]
|
| 9257 |
},
|
| 9258 |
"trust.conformal-prediction": {
|
|
@@ -9264,7 +9448,8 @@
|
|
| 9264 |
2023,
|
| 9265 |
2022,
|
| 9266 |
2021,
|
| 9267 |
-
2020
|
|
|
|
| 9268 |
]
|
| 9269 |
},
|
| 9270 |
"trust.counterfactual-explanations": {
|
|
@@ -9276,7 +9461,8 @@
|
|
| 9276 |
2023,
|
| 9277 |
2022,
|
| 9278 |
2021,
|
| 9279 |
-
2020
|
|
|
|
| 9280 |
]
|
| 9281 |
},
|
| 9282 |
"trust.differential-privacy": {
|
|
@@ -9288,7 +9474,8 @@
|
|
| 9288 |
2023,
|
| 9289 |
2022,
|
| 9290 |
2021,
|
| 9291 |
-
2020
|
|
|
|
| 9292 |
]
|
| 9293 |
},
|
| 9294 |
"trust.distribution-shift": {
|
|
@@ -9300,7 +9487,8 @@
|
|
| 9300 |
2023,
|
| 9301 |
2022,
|
| 9302 |
2021,
|
| 9303 |
-
2020
|
|
|
|
| 9304 |
]
|
| 9305 |
},
|
| 9306 |
"trust.domain-generalization": {
|
|
@@ -9312,7 +9500,8 @@
|
|
| 9312 |
2023,
|
| 9313 |
2022,
|
| 9314 |
2021,
|
| 9315 |
-
2020
|
|
|
|
| 9316 |
]
|
| 9317 |
},
|
| 9318 |
"trust.explainable-ai": {
|
|
@@ -9324,7 +9513,8 @@
|
|
| 9324 |
2023,
|
| 9325 |
2022,
|
| 9326 |
2021,
|
| 9327 |
-
2020
|
|
|
|
| 9328 |
]
|
| 9329 |
},
|
| 9330 |
"trust.federated-learning": {
|
|
@@ -9570,7 +9760,8 @@
|
|
| 9570 |
2023,
|
| 9571 |
2022,
|
| 9572 |
2021,
|
| 9573 |
-
2020
|
|
|
|
| 9574 |
]
|
| 9575 |
},
|
| 9576 |
"vision.image-restoration": {
|
|
@@ -9582,7 +9773,8 @@
|
|
| 9582 |
2023,
|
| 9583 |
2022,
|
| 9584 |
2021,
|
| 9585 |
-
2020
|
|
|
|
| 9586 |
]
|
| 9587 |
},
|
| 9588 |
"vision.image-retrieval": {
|
|
@@ -9594,7 +9786,8 @@
|
|
| 9594 |
2023,
|
| 9595 |
2022,
|
| 9596 |
2021,
|
| 9597 |
-
2020
|
|
|
|
| 9598 |
]
|
| 9599 |
},
|
| 9600 |
"vision.image-super-resolution": {
|
|
@@ -9606,7 +9799,8 @@
|
|
| 9606 |
2023,
|
| 9607 |
2022,
|
| 9608 |
2021,
|
| 9609 |
-
2020
|
|
|
|
| 9610 |
]
|
| 9611 |
},
|
| 9612 |
"vision.image-to-image-translation": {
|
|
@@ -9618,7 +9812,8 @@
|
|
| 9618 |
2023,
|
| 9619 |
2022,
|
| 9620 |
2021,
|
| 9621 |
-
2020
|
|
|
|
| 9622 |
]
|
| 9623 |
},
|
| 9624 |
"vision.neural-rendering": {
|
|
@@ -9630,7 +9825,8 @@
|
|
| 9630 |
2023,
|
| 9631 |
2022,
|
| 9632 |
2021,
|
| 9633 |
-
2020
|
|
|
|
| 9634 |
]
|
| 9635 |
},
|
| 9636 |
"vision.object-detection": {
|
|
@@ -9642,7 +9838,8 @@
|
|
| 9642 |
2023,
|
| 9643 |
2022,
|
| 9644 |
2021,
|
| 9645 |
-
2020
|
|
|
|
| 9646 |
]
|
| 9647 |
},
|
| 9648 |
"vision.object-tracking": {
|
|
@@ -9654,7 +9851,8 @@
|
|
| 9654 |
2023,
|
| 9655 |
2022,
|
| 9656 |
2021,
|
| 9657 |
-
2020
|
|
|
|
| 9658 |
]
|
| 9659 |
},
|
| 9660 |
"vision.ocr": {
|
|
@@ -9666,7 +9864,8 @@
|
|
| 9666 |
2023,
|
| 9667 |
2022,
|
| 9668 |
2021,
|
| 9669 |
-
2020
|
|
|
|
| 9670 |
]
|
| 9671 |
},
|
| 9672 |
"vision.open-vocabulary-detection": {
|
|
@@ -9678,7 +9877,8 @@
|
|
| 9678 |
2023,
|
| 9679 |
2022,
|
| 9680 |
2021,
|
| 9681 |
-
2020
|
|
|
|
| 9682 |
]
|
| 9683 |
},
|
| 9684 |
"vision.optical-flow": {
|
|
@@ -9823,5 +10023,5 @@
|
|
| 9823 |
"end": "2026-09-24",
|
| 9824 |
"search_policy_version": 2,
|
| 9825 |
"start_year": 2008,
|
| 9826 |
-
"updated_at": "2026-10-
|
| 9827 |
}
|
|
|
|
| 2506 |
2023,
|
| 2507 |
2022,
|
| 2508 |
2021,
|
| 2509 |
+
2020,
|
| 2510 |
+
2019
|
| 2511 |
]
|
| 2512 |
},
|
| 2513 |
"applied.customer-lifetime-value": {
|
|
|
|
| 2519 |
2023,
|
| 2520 |
2022,
|
| 2521 |
2021,
|
| 2522 |
+
2020,
|
| 2523 |
+
2019
|
| 2524 |
]
|
| 2525 |
},
|
| 2526 |
"applied.customer-segmentation": {
|
|
|
|
| 2532 |
2023,
|
| 2533 |
2022,
|
| 2534 |
2021,
|
| 2535 |
+
2020,
|
| 2536 |
+
2019
|
| 2537 |
]
|
| 2538 |
},
|
| 2539 |
"applied.cybersecurity-ml": {
|
|
|
|
| 2545 |
2023,
|
| 2546 |
2022,
|
| 2547 |
2021,
|
| 2548 |
+
2020,
|
| 2549 |
+
2019
|
| 2550 |
]
|
| 2551 |
},
|
| 2552 |
"applied.demand-forecasting": {
|
|
|
|
| 2558 |
2023,
|
| 2559 |
2022,
|
| 2560 |
2021,
|
| 2561 |
+
2020,
|
| 2562 |
+
2019
|
| 2563 |
]
|
| 2564 |
},
|
| 2565 |
"applied.dynamic-pricing": {
|
|
|
|
| 2571 |
2023,
|
| 2572 |
2022,
|
| 2573 |
2021,
|
| 2574 |
+
2020,
|
| 2575 |
+
2019
|
| 2576 |
]
|
| 2577 |
},
|
| 2578 |
"applied.ecological-forecasting": {
|
|
|
|
| 2584 |
2023,
|
| 2585 |
2022,
|
| 2586 |
2021,
|
| 2587 |
+
2020,
|
| 2588 |
+
2019
|
| 2589 |
]
|
| 2590 |
},
|
| 2591 |
"applied.educational-data-mining": {
|
|
|
|
| 2597 |
2023,
|
| 2598 |
2022,
|
| 2599 |
2021,
|
| 2600 |
+
2020,
|
| 2601 |
+
2019
|
| 2602 |
]
|
| 2603 |
},
|
| 2604 |
"applied.energy-load-forecasting": {
|
|
|
|
| 2610 |
2023,
|
| 2611 |
2022,
|
| 2612 |
2021,
|
| 2613 |
+
2020,
|
| 2614 |
+
2019
|
| 2615 |
]
|
| 2616 |
},
|
| 2617 |
"applied.fraud-detection": {
|
|
|
|
| 2623 |
2023,
|
| 2624 |
2022,
|
| 2625 |
2021,
|
| 2626 |
+
2020,
|
| 2627 |
+
2019
|
| 2628 |
]
|
| 2629 |
},
|
| 2630 |
"applied.industrial-defect-detection": {
|
|
|
|
| 3306 |
2023,
|
| 3307 |
2022,
|
| 3308 |
2021,
|
| 3309 |
+
2020,
|
| 3310 |
+
2019
|
| 3311 |
]
|
| 3312 |
},
|
| 3313 |
"bio.metagenomics": {
|
|
|
|
| 3319 |
2023,
|
| 3320 |
2022,
|
| 3321 |
2021,
|
| 3322 |
+
2020,
|
| 3323 |
+
2019
|
| 3324 |
]
|
| 3325 |
},
|
| 3326 |
"bio.microbiome": {
|
|
|
|
| 3332 |
2023,
|
| 3333 |
2022,
|
| 3334 |
2021,
|
| 3335 |
+
2020,
|
| 3336 |
+
2019
|
| 3337 |
]
|
| 3338 |
},
|
| 3339 |
"bio.microscopy-cell-analysis": {
|
|
|
|
| 3345 |
2023,
|
| 3346 |
2022,
|
| 3347 |
2021,
|
| 3348 |
+
2020,
|
| 3349 |
+
2019
|
| 3350 |
]
|
| 3351 |
},
|
| 3352 |
"bio.molecular-dynamics": {
|
|
|
|
| 3358 |
2023,
|
| 3359 |
2022,
|
| 3360 |
2021,
|
| 3361 |
+
2020,
|
| 3362 |
+
2019
|
| 3363 |
]
|
| 3364 |
},
|
| 3365 |
"bio.molecular-force-fields": {
|
|
|
|
| 3371 |
2023,
|
| 3372 |
2022,
|
| 3373 |
2021,
|
| 3374 |
+
2020,
|
| 3375 |
+
2019
|
| 3376 |
]
|
| 3377 |
},
|
| 3378 |
"bio.phylogenetics": {
|
|
|
|
| 3384 |
2023,
|
| 3385 |
2022,
|
| 3386 |
2021,
|
| 3387 |
+
2020,
|
| 3388 |
+
2019
|
| 3389 |
]
|
| 3390 |
},
|
| 3391 |
"bio.protein-design": {
|
|
|
|
| 3397 |
2023,
|
| 3398 |
2022,
|
| 3399 |
2021,
|
| 3400 |
+
2020,
|
| 3401 |
+
2019
|
| 3402 |
]
|
| 3403 |
},
|
| 3404 |
"bio.protein-folding": {
|
|
|
|
| 3410 |
2023,
|
| 3411 |
2022,
|
| 3412 |
2021,
|
| 3413 |
+
2020,
|
| 3414 |
+
2019
|
| 3415 |
]
|
| 3416 |
},
|
| 3417 |
"bio.protein-interactions": {
|
|
|
|
| 3423 |
2023,
|
| 3424 |
2022,
|
| 3425 |
2021,
|
| 3426 |
+
2020,
|
| 3427 |
+
2019
|
| 3428 |
]
|
| 3429 |
},
|
| 3430 |
"bio.protein-structure": {
|
|
|
|
| 3895 |
2023,
|
| 3896 |
2022,
|
| 3897 |
2021,
|
| 3898 |
+
2020,
|
| 3899 |
+
2019
|
| 3900 |
]
|
| 3901 |
},
|
| 3902 |
"efficiency.gpu-kernels": {
|
|
|
|
| 3908 |
2023,
|
| 3909 |
2022,
|
| 3910 |
2021,
|
| 3911 |
+
2020,
|
| 3912 |
+
2019
|
| 3913 |
]
|
| 3914 |
},
|
| 3915 |
"efficiency.gradient-optimization": {
|
|
|
|
| 3921 |
2023,
|
| 3922 |
2022,
|
| 3923 |
2021,
|
| 3924 |
+
2020,
|
| 3925 |
+
2019
|
| 3926 |
]
|
| 3927 |
},
|
| 3928 |
"efficiency.hyperparameter-optimization": {
|
|
|
|
| 3934 |
2023,
|
| 3935 |
2022,
|
| 3936 |
2021,
|
| 3937 |
+
2020,
|
| 3938 |
+
2019
|
| 3939 |
]
|
| 3940 |
},
|
| 3941 |
"efficiency.inference-systems": {
|
|
|
|
| 3947 |
2023,
|
| 3948 |
2022,
|
| 3949 |
2021,
|
| 3950 |
+
2020,
|
| 3951 |
+
2019
|
| 3952 |
]
|
| 3953 |
},
|
| 3954 |
"efficiency.knowledge-distillation": {
|
|
|
|
| 3960 |
2023,
|
| 3961 |
2022,
|
| 3962 |
2021,
|
| 3963 |
+
2020,
|
| 3964 |
+
2019
|
| 3965 |
]
|
| 3966 |
},
|
| 3967 |
"efficiency.kv-cache": {
|
|
|
|
| 3973 |
2023,
|
| 3974 |
2022,
|
| 3975 |
2021,
|
| 3976 |
+
2020,
|
| 3977 |
+
2019
|
| 3978 |
]
|
| 3979 |
},
|
| 3980 |
"efficiency.lora": {
|
|
|
|
| 3986 |
2023,
|
| 3987 |
2022,
|
| 3988 |
2021,
|
| 3989 |
+
2020,
|
| 3990 |
+
2019
|
| 3991 |
]
|
| 3992 |
},
|
| 3993 |
"efficiency.low-rank-factorization": {
|
|
|
|
| 3999 |
2023,
|
| 4000 |
2022,
|
| 4001 |
2021,
|
| 4002 |
+
2020,
|
| 4003 |
+
2019
|
| 4004 |
]
|
| 4005 |
},
|
| 4006 |
"efficiency.mixed-precision-training": {
|
|
|
|
| 4012 |
2023,
|
| 4013 |
2022,
|
| 4014 |
2021,
|
| 4015 |
+
2020,
|
| 4016 |
+
2019
|
| 4017 |
]
|
| 4018 |
},
|
| 4019 |
"efficiency.mixture-of-experts": {
|
|
|
|
| 4248 |
2023,
|
| 4249 |
2022,
|
| 4250 |
2021,
|
| 4251 |
+
2020,
|
| 4252 |
+
2019
|
| 4253 |
]
|
| 4254 |
},
|
| 4255 |
"gap2026.econometrics-double-ml": {
|
|
|
|
| 4261 |
2023,
|
| 4262 |
2022,
|
| 4263 |
2021,
|
| 4264 |
+
2020,
|
| 4265 |
+
2019
|
| 4266 |
]
|
| 4267 |
},
|
| 4268 |
"gap2026.econometrics-heterogeneous-effects": {
|
|
|
|
| 4274 |
2023,
|
| 4275 |
2022,
|
| 4276 |
2021,
|
| 4277 |
+
2020,
|
| 4278 |
+
2019
|
| 4279 |
]
|
| 4280 |
},
|
| 4281 |
"gap2026.econometrics-policy-learning": {
|
|
|
|
| 4287 |
2023,
|
| 4288 |
2022,
|
| 4289 |
2021,
|
| 4290 |
+
2020,
|
| 4291 |
+
2019
|
| 4292 |
]
|
| 4293 |
},
|
| 4294 |
"gap2026.forecasting-count-data": {
|
|
|
|
| 4300 |
2023,
|
| 4301 |
2022,
|
| 4302 |
2021,
|
| 4303 |
+
2020,
|
| 4304 |
+
2019
|
| 4305 |
]
|
| 4306 |
},
|
| 4307 |
"gap2026.forecasting-hierarchical": {
|
|
|
|
| 4313 |
2023,
|
| 4314 |
2022,
|
| 4315 |
2021,
|
| 4316 |
+
2020,
|
| 4317 |
+
2019
|
| 4318 |
]
|
| 4319 |
},
|
| 4320 |
"gap2026.forecasting-intermittent-demand": {
|
|
|
|
| 4326 |
2023,
|
| 4327 |
2022,
|
| 4328 |
2021,
|
| 4329 |
+
2020,
|
| 4330 |
+
2019
|
| 4331 |
]
|
| 4332 |
},
|
| 4333 |
"gap2026.forecasting-quantile": {
|
|
|
|
| 4339 |
2023,
|
| 4340 |
2022,
|
| 4341 |
2021,
|
| 4342 |
+
2020,
|
| 4343 |
+
2019
|
| 4344 |
]
|
| 4345 |
},
|
| 4346 |
"gap2026.green-ai-carbon": {
|
|
|
|
| 4352 |
2023,
|
| 4353 |
2022,
|
| 4354 |
2021,
|
| 4355 |
+
2020,
|
| 4356 |
+
2019
|
| 4357 |
]
|
| 4358 |
},
|
| 4359 |
"gap2026.green-ai-carbon-aware-scheduling": {
|
|
|
|
| 4365 |
2023,
|
| 4366 |
2022,
|
| 4367 |
2021,
|
| 4368 |
+
2020,
|
| 4369 |
+
2019
|
| 4370 |
]
|
| 4371 |
},
|
| 4372 |
"gap2026.green-ai-efficient-inference": {
|
|
|
|
| 4613 |
2023,
|
| 4614 |
2022,
|
| 4615 |
2021,
|
| 4616 |
+
2020,
|
| 4617 |
+
2019
|
| 4618 |
]
|
| 4619 |
},
|
| 4620 |
"general.contrastive-learning": {
|
|
|
|
| 4626 |
2023,
|
| 4627 |
2022,
|
| 4628 |
2021,
|
| 4629 |
+
2020,
|
| 4630 |
+
2019
|
| 4631 |
]
|
| 4632 |
},
|
| 4633 |
"general.decision-trees": {
|
|
|
|
| 4639 |
2023,
|
| 4640 |
2022,
|
| 4641 |
2021,
|
| 4642 |
+
2020,
|
| 4643 |
+
2019
|
| 4644 |
]
|
| 4645 |
},
|
| 4646 |
"general.deep-learning-description": {
|
|
|
|
| 4652 |
2023,
|
| 4653 |
2022,
|
| 4654 |
2021,
|
| 4655 |
+
2020,
|
| 4656 |
+
2019
|
| 4657 |
]
|
| 4658 |
},
|
| 4659 |
"general.deep-learning-readme": {
|
|
|
|
| 4665 |
2023,
|
| 4666 |
2022,
|
| 4667 |
2021,
|
| 4668 |
+
2020,
|
| 4669 |
+
2019
|
| 4670 |
]
|
| 4671 |
},
|
| 4672 |
"general.dimensionality-reduction": {
|
|
|
|
| 4678 |
2023,
|
| 4679 |
2022,
|
| 4680 |
2021,
|
| 4681 |
+
2020,
|
| 4682 |
+
2019
|
| 4683 |
]
|
| 4684 |
},
|
| 4685 |
"general.domain-adaptation": {
|
|
|
|
| 4691 |
2023,
|
| 4692 |
2022,
|
| 4693 |
2021,
|
| 4694 |
+
2020,
|
| 4695 |
+
2019
|
| 4696 |
]
|
| 4697 |
},
|
| 4698 |
"general.gaussian-mixture-models": {
|
|
|
|
| 4704 |
2023,
|
| 4705 |
2022,
|
| 4706 |
2021,
|
| 4707 |
+
2020,
|
| 4708 |
+
2019
|
| 4709 |
]
|
| 4710 |
},
|
| 4711 |
"general.gaussian-process": {
|
|
|
|
| 4717 |
2023,
|
| 4718 |
2022,
|
| 4719 |
2021,
|
| 4720 |
+
2020,
|
| 4721 |
+
2019
|
| 4722 |
]
|
| 4723 |
},
|
| 4724 |
"general.gradient-boosting": {
|
|
|
|
| 4730 |
2023,
|
| 4731 |
2022,
|
| 4732 |
2021,
|
| 4733 |
+
2020,
|
| 4734 |
+
2019
|
| 4735 |
]
|
| 4736 |
},
|
| 4737 |
"general.hidden-markov-models": {
|
|
|
|
| 5158 |
2023,
|
| 5159 |
2022,
|
| 5160 |
2021,
|
| 5161 |
+
2020,
|
| 5162 |
+
2019
|
| 5163 |
]
|
| 5164 |
},
|
| 5165 |
"geo.geospatial-foundation-models": {
|
|
|
|
| 5171 |
2023,
|
| 5172 |
2022,
|
| 5173 |
2021,
|
| 5174 |
+
2020,
|
| 5175 |
+
2019
|
| 5176 |
]
|
| 5177 |
},
|
| 5178 |
"geo.geospatial-knowledge-graph": {
|
|
|
|
| 5184 |
2023,
|
| 5185 |
2022,
|
| 5186 |
2021,
|
| 5187 |
+
2020,
|
| 5188 |
+
2019
|
| 5189 |
]
|
| 5190 |
},
|
| 5191 |
"geo.hydrology": {
|
|
|
|
| 5197 |
2023,
|
| 5198 |
2022,
|
| 5199 |
2021,
|
| 5200 |
+
2020,
|
| 5201 |
+
2019
|
| 5202 |
]
|
| 5203 |
},
|
| 5204 |
"geo.land-cover": {
|
|
|
|
| 5210 |
2023,
|
| 5211 |
2022,
|
| 5212 |
2021,
|
| 5213 |
+
2020,
|
| 5214 |
+
2019
|
| 5215 |
]
|
| 5216 |
},
|
| 5217 |
"geo.land-use": {
|
|
|
|
| 5223 |
2023,
|
| 5224 |
2022,
|
| 5225 |
2021,
|
| 5226 |
+
2020,
|
| 5227 |
+
2019
|
| 5228 |
]
|
| 5229 |
},
|
| 5230 |
"geo.lidar": {
|
|
|
|
| 5236 |
2023,
|
| 5237 |
2022,
|
| 5238 |
2021,
|
| 5239 |
+
2020,
|
| 5240 |
+
2019
|
| 5241 |
]
|
| 5242 |
},
|
| 5243 |
"geo.mobility-modeling": {
|
|
|
|
| 5249 |
2023,
|
| 5250 |
2022,
|
| 5251 |
2021,
|
| 5252 |
+
2020,
|
| 5253 |
+
2019
|
| 5254 |
]
|
| 5255 |
},
|
| 5256 |
"geo.object-detection": {
|
|
|
|
| 5262 |
2023,
|
| 5263 |
2022,
|
| 5264 |
2021,
|
| 5265 |
+
2020,
|
| 5266 |
+
2019
|
| 5267 |
]
|
| 5268 |
},
|
| 5269 |
"geo.ocean-remote-sensing": {
|
|
|
|
| 5275 |
2023,
|
| 5276 |
2022,
|
| 5277 |
2021,
|
| 5278 |
+
2020,
|
| 5279 |
+
2019
|
| 5280 |
]
|
| 5281 |
},
|
| 5282 |
"geo.precipitation-forecasting": {
|
|
|
|
| 5499 |
2023,
|
| 5500 |
2022,
|
| 5501 |
2021,
|
| 5502 |
+
2020,
|
| 5503 |
+
2019
|
| 5504 |
]
|
| 5505 |
},
|
| 5506 |
"graph.graph-foundation-model": {
|
|
|
|
| 5512 |
2023,
|
| 5513 |
2022,
|
| 5514 |
2021,
|
| 5515 |
+
2020,
|
| 5516 |
+
2019
|
| 5517 |
]
|
| 5518 |
},
|
| 5519 |
"graph.graph-generation": {
|
|
|
|
| 5525 |
2023,
|
| 5526 |
2022,
|
| 5527 |
2021,
|
| 5528 |
+
2020,
|
| 5529 |
+
2019
|
| 5530 |
]
|
| 5531 |
},
|
| 5532 |
"graph.graph-transformer": {
|
|
|
|
| 5538 |
2023,
|
| 5539 |
2022,
|
| 5540 |
2021,
|
| 5541 |
+
2020,
|
| 5542 |
+
2019
|
| 5543 |
]
|
| 5544 |
},
|
| 5545 |
"graph.hypergraph-neural-network": {
|
|
|
|
| 5551 |
2023,
|
| 5552 |
2022,
|
| 5553 |
2021,
|
| 5554 |
+
2020,
|
| 5555 |
+
2019
|
| 5556 |
]
|
| 5557 |
},
|
| 5558 |
"graph.knowledge-graph-embedding": {
|
|
|
|
| 5564 |
2023,
|
| 5565 |
2022,
|
| 5566 |
2021,
|
| 5567 |
+
2020,
|
| 5568 |
+
2019
|
| 5569 |
]
|
| 5570 |
},
|
| 5571 |
"graph.knowledge-graphs": {
|
|
|
|
| 5577 |
2023,
|
| 5578 |
2022,
|
| 5579 |
2021,
|
| 5580 |
+
2020,
|
| 5581 |
+
2019
|
| 5582 |
]
|
| 5583 |
},
|
| 5584 |
"graph.link-prediction": {
|
|
|
|
| 5590 |
2023,
|
| 5591 |
2022,
|
| 5592 |
2021,
|
| 5593 |
+
2020,
|
| 5594 |
+
2019
|
| 5595 |
]
|
| 5596 |
},
|
| 5597 |
"graph.manifold-learning": {
|
|
|
|
| 5603 |
2023,
|
| 5604 |
2022,
|
| 5605 |
2021,
|
| 5606 |
+
2020,
|
| 5607 |
+
2019
|
| 5608 |
]
|
| 5609 |
},
|
| 5610 |
"graph.mesh-graph-learning": {
|
|
|
|
| 5616 |
2023,
|
| 5617 |
2022,
|
| 5618 |
2021,
|
| 5619 |
+
2020,
|
| 5620 |
+
2019
|
| 5621 |
]
|
| 5622 |
},
|
| 5623 |
"graph.molecular-graphs": {
|
|
|
|
| 5892 |
2023,
|
| 5893 |
2022,
|
| 5894 |
2021,
|
| 5895 |
+
2020,
|
| 5896 |
+
2019
|
| 5897 |
]
|
| 5898 |
},
|
| 5899 |
"llm.generative-ai": {
|
|
|
|
| 5905 |
2023,
|
| 5906 |
2022,
|
| 5907 |
2021,
|
| 5908 |
+
2020,
|
| 5909 |
+
2019
|
| 5910 |
]
|
| 5911 |
},
|
| 5912 |
"llm.instruction-tuning": {
|
|
|
|
| 5918 |
2023,
|
| 5919 |
2022,
|
| 5920 |
2021,
|
| 5921 |
+
2020,
|
| 5922 |
+
2019
|
| 5923 |
]
|
| 5924 |
},
|
| 5925 |
"llm.language-model": {
|
|
|
|
| 5931 |
2023,
|
| 5932 |
2022,
|
| 5933 |
2021,
|
| 5934 |
+
2020,
|
| 5935 |
+
2019
|
| 5936 |
]
|
| 5937 |
},
|
| 5938 |
"llm.language-models": {
|
|
|
|
| 5944 |
2023,
|
| 5945 |
2022,
|
| 5946 |
2021,
|
| 5947 |
+
2020,
|
| 5948 |
+
2019
|
| 5949 |
]
|
| 5950 |
},
|
| 5951 |
"llm.large-language-model": {
|
|
|
|
| 5957 |
2023,
|
| 5958 |
2022,
|
| 5959 |
2021,
|
| 5960 |
+
2020,
|
| 5961 |
+
2019
|
| 5962 |
]
|
| 5963 |
},
|
| 5964 |
"llm.long-context": {
|
|
|
|
| 5970 |
2023,
|
| 5971 |
2022,
|
| 5972 |
2021,
|
| 5973 |
+
2020,
|
| 5974 |
+
2019
|
| 5975 |
]
|
| 5976 |
},
|
| 5977 |
"llm.multimodal": {
|
|
|
|
| 5983 |
2023,
|
| 5984 |
2022,
|
| 5985 |
2021,
|
| 5986 |
+
2020,
|
| 5987 |
+
2019
|
| 5988 |
]
|
| 5989 |
},
|
| 5990 |
"llm.parameter-efficient-finetuning": {
|
|
|
|
| 5996 |
2023,
|
| 5997 |
2022,
|
| 5998 |
2021,
|
| 5999 |
+
2020,
|
| 6000 |
+
2019
|
| 6001 |
]
|
| 6002 |
},
|
| 6003 |
"llm.preference-optimization": {
|
|
|
|
| 6009 |
2023,
|
| 6010 |
2022,
|
| 6011 |
2021,
|
| 6012 |
+
2020,
|
| 6013 |
+
2019
|
| 6014 |
]
|
| 6015 |
},
|
| 6016 |
"llm.quantization": {
|
|
|
|
| 6276 |
2023,
|
| 6277 |
2022,
|
| 6278 |
2021,
|
| 6279 |
+
2020,
|
| 6280 |
+
2019
|
| 6281 |
]
|
| 6282 |
},
|
| 6283 |
"medical.eeg": {
|
|
|
|
| 6289 |
2023,
|
| 6290 |
2022,
|
| 6291 |
2021,
|
| 6292 |
+
2020,
|
| 6293 |
+
2019
|
| 6294 |
]
|
| 6295 |
},
|
| 6296 |
"medical.ehr": {
|
|
|
|
| 6302 |
2023,
|
| 6303 |
2022,
|
| 6304 |
2021,
|
| 6305 |
+
2020,
|
| 6306 |
+
2019
|
| 6307 |
]
|
| 6308 |
},
|
| 6309 |
"medical.genomics": {
|
|
|
|
| 6315 |
2023,
|
| 6316 |
2022,
|
| 6317 |
2021,
|
| 6318 |
+
2020,
|
| 6319 |
+
2019
|
| 6320 |
]
|
| 6321 |
},
|
| 6322 |
"medical.histopathology": {
|
|
|
|
| 6328 |
2023,
|
| 6329 |
2022,
|
| 6330 |
2021,
|
| 6331 |
+
2020,
|
| 6332 |
+
2019
|
| 6333 |
]
|
| 6334 |
},
|
| 6335 |
"medical.medical-image-reconstruction": {
|
|
|
|
| 6341 |
2023,
|
| 6342 |
2022,
|
| 6343 |
2021,
|
| 6344 |
+
2020,
|
| 6345 |
+
2019
|
| 6346 |
]
|
| 6347 |
},
|
| 6348 |
"medical.medical-image-registration": {
|
|
|
|
| 6354 |
2023,
|
| 6355 |
2022,
|
| 6356 |
2021,
|
| 6357 |
+
2020,
|
| 6358 |
+
2019
|
| 6359 |
]
|
| 6360 |
},
|
| 6361 |
"medical.medical-image-segmentation": {
|
|
|
|
| 6367 |
2023,
|
| 6368 |
2022,
|
| 6369 |
2021,
|
| 6370 |
+
2020,
|
| 6371 |
+
2019
|
| 6372 |
]
|
| 6373 |
},
|
| 6374 |
"medical.medical-imaging": {
|
|
|
|
| 6380 |
2023,
|
| 6381 |
2022,
|
| 6382 |
2021,
|
| 6383 |
+
2020,
|
| 6384 |
+
2019
|
| 6385 |
]
|
| 6386 |
},
|
| 6387 |
"medical.medical-language-model": {
|
|
|
|
| 6393 |
2023,
|
| 6394 |
2022,
|
| 6395 |
2021,
|
| 6396 |
+
2020,
|
| 6397 |
+
2019
|
| 6398 |
]
|
| 6399 |
},
|
| 6400 |
"medical.medical-robotics": {
|
|
|
|
| 6617 |
2023,
|
| 6618 |
2022,
|
| 6619 |
2021,
|
| 6620 |
+
2020,
|
| 6621 |
+
2019
|
| 6622 |
]
|
| 6623 |
},
|
| 6624 |
"multimodal.image-to-3d": {
|
|
|
|
| 6630 |
2023,
|
| 6631 |
2022,
|
| 6632 |
2021,
|
| 6633 |
+
2020,
|
| 6634 |
+
2019
|
| 6635 |
]
|
| 6636 |
},
|
| 6637 |
"multimodal.image-to-video": {
|
|
|
|
| 6643 |
2023,
|
| 6644 |
2022,
|
| 6645 |
2021,
|
| 6646 |
+
2020,
|
| 6647 |
+
2019
|
| 6648 |
]
|
| 6649 |
},
|
| 6650 |
"multimodal.motion-generation": {
|
|
|
|
| 6656 |
2023,
|
| 6657 |
2022,
|
| 6658 |
2021,
|
| 6659 |
+
2020,
|
| 6660 |
+
2019
|
| 6661 |
]
|
| 6662 |
},
|
| 6663 |
"multimodal.nerf": {
|
|
|
|
| 6669 |
2023,
|
| 6670 |
2022,
|
| 6671 |
2021,
|
| 6672 |
+
2020,
|
| 6673 |
+
2019
|
| 6674 |
]
|
| 6675 |
},
|
| 6676 |
"multimodal.neural-rendering": {
|
|
|
|
| 6682 |
2023,
|
| 6683 |
2022,
|
| 6684 |
2021,
|
| 6685 |
+
2020,
|
| 6686 |
+
2019
|
| 6687 |
]
|
| 6688 |
},
|
| 6689 |
"multimodal.point-cloud": {
|
|
|
|
| 6695 |
2023,
|
| 6696 |
2022,
|
| 6697 |
2021,
|
| 6698 |
+
2020,
|
| 6699 |
+
2019
|
| 6700 |
]
|
| 6701 |
},
|
| 6702 |
"multimodal.scene-understanding": {
|
|
|
|
| 6708 |
2023,
|
| 6709 |
2022,
|
| 6710 |
2021,
|
| 6711 |
+
2020,
|
| 6712 |
+
2019
|
| 6713 |
]
|
| 6714 |
},
|
| 6715 |
"multimodal.text-to-3d": {
|
|
|
|
| 6721 |
2023,
|
| 6722 |
2022,
|
| 6723 |
2021,
|
| 6724 |
+
2020,
|
| 6725 |
+
2019
|
| 6726 |
]
|
| 6727 |
},
|
| 6728 |
"multimodal.text-to-image": {
|
|
|
|
| 6734 |
2023,
|
| 6735 |
2022,
|
| 6736 |
2021,
|
| 6737 |
+
2020,
|
| 6738 |
+
2019
|
| 6739 |
]
|
| 6740 |
},
|
| 6741 |
"multimodal.text-to-video": {
|
|
|
|
| 7025 |
2023,
|
| 7026 |
2022,
|
| 7027 |
2021,
|
| 7028 |
+
2020,
|
| 7029 |
+
2019
|
| 7030 |
]
|
| 7031 |
},
|
| 7032 |
"nlp.named-entity-recognition": {
|
|
|
|
| 7038 |
2023,
|
| 7039 |
2022,
|
| 7040 |
2021,
|
| 7041 |
+
2020,
|
| 7042 |
+
2019
|
| 7043 |
]
|
| 7044 |
},
|
| 7045 |
"nlp.neural-reranking": {
|
|
|
|
| 7051 |
2023,
|
| 7052 |
2022,
|
| 7053 |
2021,
|
| 7054 |
+
2020,
|
| 7055 |
+
2019
|
| 7056 |
]
|
| 7057 |
},
|
| 7058 |
"nlp.question-answering": {
|
|
|
|
| 7064 |
2023,
|
| 7065 |
2022,
|
| 7066 |
2021,
|
| 7067 |
+
2020,
|
| 7068 |
+
2019
|
| 7069 |
]
|
| 7070 |
},
|
| 7071 |
"nlp.rag": {
|
|
|
|
| 7077 |
2023,
|
| 7078 |
2022,
|
| 7079 |
2021,
|
| 7080 |
+
2020,
|
| 7081 |
+
2019
|
| 7082 |
]
|
| 7083 |
},
|
| 7084 |
"nlp.semantic-search": {
|
|
|
|
| 7090 |
2023,
|
| 7091 |
2022,
|
| 7092 |
2021,
|
| 7093 |
+
2020,
|
| 7094 |
+
2019
|
| 7095 |
]
|
| 7096 |
},
|
| 7097 |
"nlp.sentence-embeddings": {
|
|
|
|
| 7103 |
2023,
|
| 7104 |
2022,
|
| 7105 |
2021,
|
| 7106 |
+
2020,
|
| 7107 |
+
2019
|
| 7108 |
]
|
| 7109 |
},
|
| 7110 |
"nlp.subword-tokenization": {
|
|
|
|
| 7116 |
2023,
|
| 7117 |
2022,
|
| 7118 |
2021,
|
| 7119 |
+
2020,
|
| 7120 |
+
2019
|
| 7121 |
]
|
| 7122 |
},
|
| 7123 |
"nlp.text-classification": {
|
|
|
|
| 7129 |
2023,
|
| 7130 |
2022,
|
| 7131 |
2021,
|
| 7132 |
+
2020,
|
| 7133 |
+
2019
|
| 7134 |
]
|
| 7135 |
},
|
| 7136 |
"nlp.text-generation": {
|
|
|
|
| 7142 |
2023,
|
| 7143 |
2022,
|
| 7144 |
2021,
|
| 7145 |
+
2020,
|
| 7146 |
+
2019
|
| 7147 |
]
|
| 7148 |
},
|
| 7149 |
"nlp.text-summarization": {
|
|
|
|
| 7270 |
2023,
|
| 7271 |
2022,
|
| 7272 |
2021,
|
| 7273 |
+
2020,
|
| 7274 |
+
2019
|
| 7275 |
]
|
| 7276 |
},
|
| 7277 |
"probable.data-training-selection": {
|
|
|
|
| 7283 |
2023,
|
| 7284 |
2022,
|
| 7285 |
2021,
|
| 7286 |
+
2020,
|
| 7287 |
+
2019
|
| 7288 |
]
|
| 7289 |
},
|
| 7290 |
"probable.evaluation-ml-benchmark": {
|
|
|
|
| 7296 |
2023,
|
| 7297 |
2022,
|
| 7298 |
2021,
|
| 7299 |
+
2020,
|
| 7300 |
+
2019
|
| 7301 |
]
|
| 7302 |
},
|
| 7303 |
"probable.evaluation-model-calibration-readme": {
|
|
|
|
| 7309 |
2023,
|
| 7310 |
2022,
|
| 7311 |
2021,
|
| 7312 |
+
2020,
|
| 7313 |
+
2019
|
| 7314 |
]
|
| 7315 |
},
|
| 7316 |
"probable.evaluation-ood-readme": {
|
|
|
|
| 7322 |
2023,
|
| 7323 |
2022,
|
| 7324 |
2021,
|
| 7325 |
+
2020,
|
| 7326 |
+
2019
|
| 7327 |
]
|
| 7328 |
},
|
| 7329 |
"probable.scientific-data-assimilation": {
|
|
|
|
| 7335 |
2023,
|
| 7336 |
2022,
|
| 7337 |
2021,
|
| 7338 |
+
2020,
|
| 7339 |
+
2019
|
| 7340 |
]
|
| 7341 |
},
|
| 7342 |
"probable.scientific-reduced-order-modeling": {
|
|
|
|
| 7348 |
2023,
|
| 7349 |
2022,
|
| 7350 |
2021,
|
| 7351 |
+
2020,
|
| 7352 |
+
2019
|
| 7353 |
]
|
| 7354 |
},
|
| 7355 |
"probable.scientific-surrogate-modeling": {
|
|
|
|
| 7361 |
2023,
|
| 7362 |
2022,
|
| 7363 |
2021,
|
| 7364 |
+
2020,
|
| 7365 |
+
2019
|
| 7366 |
]
|
| 7367 |
},
|
| 7368 |
"probable.scientific-system-identification": {
|
|
|
|
| 7374 |
2023,
|
| 7375 |
2022,
|
| 7376 |
2021,
|
| 7377 |
+
2020,
|
| 7378 |
+
2019
|
| 7379 |
]
|
| 7380 |
},
|
| 7381 |
"recall.archaeological-remote-sensing": {
|
|
|
|
| 7478 |
2023,
|
| 7479 |
2022,
|
| 7480 |
2021,
|
| 7481 |
+
2020,
|
| 7482 |
+
2019
|
| 7483 |
]
|
| 7484 |
},
|
| 7485 |
"recall.epidemiological-modeling": {
|
|
|
|
| 7491 |
2023,
|
| 7492 |
2022,
|
| 7493 |
2021,
|
| 7494 |
+
2020,
|
| 7495 |
+
2019
|
| 7496 |
]
|
| 7497 |
},
|
| 7498 |
"recall.grid-stability-prediction": {
|
|
|
|
| 7504 |
2023,
|
| 7505 |
2022,
|
| 7506 |
2021,
|
| 7507 |
+
2020,
|
| 7508 |
+
2019
|
| 7509 |
]
|
| 7510 |
},
|
| 7511 |
"recall.historical-document-recognition": {
|
|
|
|
| 7517 |
2023,
|
| 7518 |
2022,
|
| 7519 |
2021,
|
| 7520 |
+
2020,
|
| 7521 |
+
2019
|
| 7522 |
]
|
| 7523 |
},
|
| 7524 |
"recall.infrastructure-damage-detection": {
|
|
|
|
| 7530 |
2023,
|
| 7531 |
2022,
|
| 7532 |
2021,
|
| 7533 |
+
2020,
|
| 7534 |
+
2019
|
| 7535 |
]
|
| 7536 |
},
|
| 7537 |
"recall.insurance-risk-modeling": {
|
|
|
|
| 7543 |
2023,
|
| 7544 |
2022,
|
| 7545 |
2021,
|
| 7546 |
+
2020,
|
| 7547 |
+
2019
|
| 7548 |
]
|
| 7549 |
},
|
| 7550 |
"recall.legal-document-classification": {
|
|
|
|
| 7556 |
2023,
|
| 7557 |
2022,
|
| 7558 |
2021,
|
| 7559 |
+
2020,
|
| 7560 |
+
2019
|
| 7561 |
]
|
| 7562 |
},
|
| 7563 |
"recall.legal-nlp": {
|
|
|
|
| 7569 |
2023,
|
| 7570 |
2022,
|
| 7571 |
2021,
|
| 7572 |
+
2020,
|
| 7573 |
+
2019
|
| 7574 |
]
|
| 7575 |
},
|
| 7576 |
"recall.name.artificial-intelligence": {
|
|
|
|
| 7582 |
2023,
|
| 7583 |
2022,
|
| 7584 |
2021,
|
| 7585 |
+
2020,
|
| 7586 |
+
2019
|
| 7587 |
]
|
| 7588 |
},
|
| 7589 |
"recall.name.deep-learning": {
|
|
|
|
| 7595 |
2023,
|
| 7596 |
2022,
|
| 7597 |
2021,
|
| 7598 |
+
2020,
|
| 7599 |
+
2019
|
| 7600 |
]
|
| 7601 |
},
|
| 7602 |
"recall.name.diffusion-model": {
|
|
|
|
| 7879 |
2023,
|
| 7880 |
2022,
|
| 7881 |
2021,
|
| 7882 |
+
2020,
|
| 7883 |
+
2019
|
| 7884 |
]
|
| 7885 |
},
|
| 7886 |
"rl.bandits": {
|
|
|
|
| 7983 |
2023,
|
| 7984 |
2022,
|
| 7985 |
2021,
|
| 7986 |
+
2020,
|
| 7987 |
+
2019
|
| 7988 |
]
|
| 7989 |
},
|
| 7990 |
"rl.hierarchical": {
|
|
|
|
| 7996 |
2023,
|
| 7997 |
2022,
|
| 7998 |
2021,
|
| 7999 |
+
2020,
|
| 8000 |
+
2019
|
| 8001 |
]
|
| 8002 |
},
|
| 8003 |
"rl.imitation-learning": {
|
|
|
|
| 8009 |
2023,
|
| 8010 |
2022,
|
| 8011 |
2021,
|
| 8012 |
+
2020,
|
| 8013 |
+
2019
|
| 8014 |
]
|
| 8015 |
},
|
| 8016 |
"rl.inverse": {
|
|
|
|
| 8022 |
2023,
|
| 8023 |
2022,
|
| 8024 |
2021,
|
| 8025 |
+
2020,
|
| 8026 |
+
2019
|
| 8027 |
]
|
| 8028 |
},
|
| 8029 |
"rl.model-based": {
|
|
|
|
| 8035 |
2023,
|
| 8036 |
2022,
|
| 8037 |
2021,
|
| 8038 |
+
2020,
|
| 8039 |
+
2019
|
| 8040 |
]
|
| 8041 |
},
|
| 8042 |
"rl.model-free": {
|
|
|
|
| 8048 |
2023,
|
| 8049 |
2022,
|
| 8050 |
2021,
|
| 8051 |
+
2020,
|
| 8052 |
+
2019
|
| 8053 |
]
|
| 8054 |
},
|
| 8055 |
"rl.multiagent": {
|
|
|
|
| 8061 |
2023,
|
| 8062 |
2022,
|
| 8063 |
2021,
|
| 8064 |
+
2020,
|
| 8065 |
+
2019
|
| 8066 |
]
|
| 8067 |
},
|
| 8068 |
"rl.offline": {
|
|
|
|
| 8074 |
2023,
|
| 8075 |
2022,
|
| 8076 |
2021,
|
| 8077 |
+
2020,
|
| 8078 |
+
2019
|
| 8079 |
]
|
| 8080 |
},
|
| 8081 |
"rl.planning": {
|
|
|
|
| 8087 |
2023,
|
| 8088 |
2022,
|
| 8089 |
2021,
|
| 8090 |
+
2020,
|
| 8091 |
+
2019
|
| 8092 |
]
|
| 8093 |
},
|
| 8094 |
"rl.policy-gradient": {
|
|
|
|
| 8100 |
2023,
|
| 8101 |
2022,
|
| 8102 |
2021,
|
| 8103 |
+
2020,
|
| 8104 |
+
2019
|
| 8105 |
]
|
| 8106 |
},
|
| 8107 |
"rl.ppo": {
|
|
|
|
| 8264 |
2023,
|
| 8265 |
2022,
|
| 8266 |
2021,
|
| 8267 |
+
2020,
|
| 8268 |
+
2019
|
| 8269 |
]
|
| 8270 |
},
|
| 8271 |
"robotics.manipulation": {
|
|
|
|
| 8277 |
2023,
|
| 8278 |
2022,
|
| 8279 |
2021,
|
| 8280 |
+
2020,
|
| 8281 |
+
2019
|
| 8282 |
]
|
| 8283 |
},
|
| 8284 |
"robotics.navigation": {
|
|
|
|
| 8290 |
2023,
|
| 8291 |
2022,
|
| 8292 |
2021,
|
| 8293 |
+
2020,
|
| 8294 |
+
2019
|
| 8295 |
]
|
| 8296 |
},
|
| 8297 |
"robotics.robot-control": {
|
|
|
|
| 8303 |
2023,
|
| 8304 |
2022,
|
| 8305 |
2021,
|
| 8306 |
+
2020,
|
| 8307 |
+
2019
|
| 8308 |
]
|
| 8309 |
},
|
| 8310 |
"robotics.robot-foundation-model": {
|
|
|
|
| 8316 |
2023,
|
| 8317 |
2022,
|
| 8318 |
2021,
|
| 8319 |
+
2020,
|
| 8320 |
+
2019
|
| 8321 |
]
|
| 8322 |
},
|
| 8323 |
"robotics.robot-learning": {
|
|
|
|
| 8329 |
2023,
|
| 8330 |
2022,
|
| 8331 |
2021,
|
| 8332 |
+
2020,
|
| 8333 |
+
2019
|
| 8334 |
]
|
| 8335 |
},
|
| 8336 |
"robotics.robot-manipulation-learning": {
|
|
|
|
| 8342 |
2023,
|
| 8343 |
2022,
|
| 8344 |
2021,
|
| 8345 |
+
2020,
|
| 8346 |
+
2019
|
| 8347 |
]
|
| 8348 |
},
|
| 8349 |
"robotics.robot-motion-planning": {
|
|
|
|
| 8355 |
2023,
|
| 8356 |
2022,
|
| 8357 |
2021,
|
| 8358 |
+
2020,
|
| 8359 |
+
2019
|
| 8360 |
]
|
| 8361 |
},
|
| 8362 |
"robotics.robotics-reinforcement-learning": {
|
|
|
|
| 8368 |
2023,
|
| 8369 |
2022,
|
| 8370 |
2021,
|
| 8371 |
+
2020,
|
| 8372 |
+
2019
|
| 8373 |
]
|
| 8374 |
},
|
| 8375 |
"robotics.robotics-topic": {
|
|
|
|
| 8381 |
2023,
|
| 8382 |
2022,
|
| 8383 |
2021,
|
| 8384 |
+
2020,
|
| 8385 |
+
2019
|
| 8386 |
]
|
| 8387 |
},
|
| 8388 |
"robotics.sim2real": {
|
|
|
|
| 8544 |
2023,
|
| 8545 |
2022,
|
| 8546 |
2021,
|
| 8547 |
+
2020,
|
| 8548 |
+
2019
|
| 8549 |
]
|
| 8550 |
},
|
| 8551 |
"science.fluid-dynamics": {
|
|
|
|
| 8557 |
2023,
|
| 8558 |
2022,
|
| 8559 |
2021,
|
| 8560 |
+
2020,
|
| 8561 |
+
2019
|
| 8562 |
]
|
| 8563 |
},
|
| 8564 |
"science.fusion-plasma": {
|
|
|
|
| 8570 |
2023,
|
| 8571 |
2022,
|
| 8572 |
2021,
|
| 8573 |
+
2020,
|
| 8574 |
+
2019
|
| 8575 |
]
|
| 8576 |
},
|
| 8577 |
"science.gravitational-waves": {
|
|
|
|
| 8583 |
2023,
|
| 8584 |
2022,
|
| 8585 |
2021,
|
| 8586 |
+
2020,
|
| 8587 |
+
2019
|
| 8588 |
]
|
| 8589 |
},
|
| 8590 |
"science.inverse-problems": {
|
|
|
|
| 8596 |
2023,
|
| 8597 |
2022,
|
| 8598 |
2021,
|
| 8599 |
+
2020,
|
| 8600 |
+
2019
|
| 8601 |
]
|
| 8602 |
},
|
| 8603 |
"science.neural-operators": {
|
|
|
|
| 8609 |
2023,
|
| 8610 |
2022,
|
| 8611 |
2021,
|
| 8612 |
+
2020,
|
| 8613 |
+
2019
|
| 8614 |
]
|
| 8615 |
},
|
| 8616 |
"science.ocean-modeling": {
|
|
|
|
| 8622 |
2023,
|
| 8623 |
2022,
|
| 8624 |
2021,
|
| 8625 |
+
2020,
|
| 8626 |
+
2019
|
| 8627 |
]
|
| 8628 |
},
|
| 8629 |
"science.particle-physics": {
|
|
|
|
| 8635 |
2023,
|
| 8636 |
2022,
|
| 8637 |
2021,
|
| 8638 |
+
2020,
|
| 8639 |
+
2019
|
| 8640 |
]
|
| 8641 |
},
|
| 8642 |
"science.photonics": {
|
|
|
|
| 8648 |
2023,
|
| 8649 |
2022,
|
| 8650 |
2021,
|
| 8651 |
+
2020,
|
| 8652 |
+
2019
|
| 8653 |
]
|
| 8654 |
},
|
| 8655 |
"science.physics": {
|
|
|
|
| 8661 |
2023,
|
| 8662 |
2022,
|
| 8663 |
2021,
|
| 8664 |
+
2020,
|
| 8665 |
+
2019
|
| 8666 |
]
|
| 8667 |
},
|
| 8668 |
"science.physics-informed-neural-networks": {
|
|
|
|
| 8674 |
2023,
|
| 8675 |
2022,
|
| 8676 |
2021,
|
| 8677 |
+
2020,
|
| 8678 |
+
2019
|
| 8679 |
]
|
| 8680 |
},
|
| 8681 |
"science.plasma-physics": {
|
|
|
|
| 8873 |
2023,
|
| 8874 |
2022,
|
| 8875 |
2021,
|
| 8876 |
+
2020,
|
| 8877 |
+
2019
|
| 8878 |
]
|
| 8879 |
},
|
| 8880 |
"specialized.event-camera-deep-learning": {
|
|
|
|
| 8886 |
2023,
|
| 8887 |
2022,
|
| 8888 |
2021,
|
| 8889 |
+
2020,
|
| 8890 |
+
2019
|
| 8891 |
]
|
| 8892 |
},
|
| 8893 |
"specialized.fmri-decoding-ml": {
|
|
|
|
| 8899 |
2023,
|
| 8900 |
2022,
|
| 8901 |
2021,
|
| 8902 |
+
2020,
|
| 8903 |
+
2019
|
| 8904 |
]
|
| 8905 |
},
|
| 8906 |
"specialized.machine-unlearning": {
|
|
|
|
| 8912 |
2023,
|
| 8913 |
2022,
|
| 8914 |
2021,
|
| 8915 |
+
2020,
|
| 8916 |
+
2019
|
| 8917 |
]
|
| 8918 |
},
|
| 8919 |
"specialized.mechanistic-interpretability": {
|
|
|
|
| 8925 |
2023,
|
| 8926 |
2022,
|
| 8927 |
2021,
|
| 8928 |
+
2020,
|
| 8929 |
+
2019
|
| 8930 |
]
|
| 8931 |
},
|
| 8932 |
"specialized.medical-image-registration-deep-learning": {
|
|
|
|
| 8938 |
2023,
|
| 8939 |
2022,
|
| 8940 |
2021,
|
| 8941 |
+
2020,
|
| 8942 |
+
2019
|
| 8943 |
]
|
| 8944 |
},
|
| 8945 |
"specialized.pathology-foundation-model": {
|
|
|
|
| 8951 |
2023,
|
| 8952 |
2022,
|
| 8953 |
2021,
|
| 8954 |
+
2020,
|
| 8955 |
+
2019
|
| 8956 |
]
|
| 8957 |
},
|
| 8958 |
"specialized.spiking-neural-network": {
|
|
|
|
| 8964 |
2023,
|
| 8965 |
2022,
|
| 8966 |
2021,
|
| 8967 |
+
2020,
|
| 8968 |
+
2019
|
| 8969 |
]
|
| 8970 |
},
|
| 8971 |
"specialized.test-time-adaptation": {
|
|
|
|
| 8977 |
2023,
|
| 8978 |
2022,
|
| 8979 |
2021,
|
| 8980 |
+
2020,
|
| 8981 |
+
2019
|
| 8982 |
]
|
| 8983 |
},
|
| 8984 |
"timeseries.anomaly-detection": {
|
|
|
|
| 9068 |
2023,
|
| 9069 |
2022,
|
| 9070 |
2021,
|
| 9071 |
+
2020,
|
| 9072 |
+
2019
|
| 9073 |
]
|
| 9074 |
},
|
| 9075 |
"timeseries.imputation": {
|
|
|
|
| 9081 |
2023,
|
| 9082 |
2022,
|
| 9083 |
2021,
|
| 9084 |
+
2020,
|
| 9085 |
+
2019
|
| 9086 |
]
|
| 9087 |
},
|
| 9088 |
"timeseries.long-horizon": {
|
|
|
|
| 9094 |
2023,
|
| 9095 |
2022,
|
| 9096 |
2021,
|
| 9097 |
+
2020,
|
| 9098 |
+
2019
|
| 9099 |
]
|
| 9100 |
},
|
| 9101 |
"timeseries.multivariate": {
|
|
|
|
| 9107 |
2023,
|
| 9108 |
2022,
|
| 9109 |
2021,
|
| 9110 |
+
2020,
|
| 9111 |
+
2019
|
| 9112 |
]
|
| 9113 |
},
|
| 9114 |
"timeseries.nbeats": {
|
|
|
|
| 9120 |
2023,
|
| 9121 |
2022,
|
| 9122 |
2021,
|
| 9123 |
+
2020,
|
| 9124 |
+
2019
|
| 9125 |
]
|
| 9126 |
},
|
| 9127 |
"timeseries.patchtst": {
|
|
|
|
| 9133 |
2023,
|
| 9134 |
2022,
|
| 9135 |
2021,
|
| 9136 |
+
2020,
|
| 9137 |
+
2019
|
| 9138 |
]
|
| 9139 |
},
|
| 9140 |
"timeseries.predictive-maintenance": {
|
|
|
|
| 9146 |
2023,
|
| 9147 |
2022,
|
| 9148 |
2021,
|
| 9149 |
+
2020,
|
| 9150 |
+
2019
|
| 9151 |
]
|
| 9152 |
},
|
| 9153 |
"timeseries.probabilistic-forecasting": {
|
|
|
|
| 9159 |
2023,
|
| 9160 |
2022,
|
| 9161 |
2021,
|
| 9162 |
+
2020,
|
| 9163 |
+
2019
|
| 9164 |
]
|
| 9165 |
},
|
| 9166 |
"timeseries.remaining-useful-life": {
|
|
|
|
| 9172 |
2023,
|
| 9173 |
2022,
|
| 9174 |
2021,
|
| 9175 |
+
2020,
|
| 9176 |
+
2019
|
| 9177 |
]
|
| 9178 |
},
|
| 9179 |
"timeseries.sensor-data": {
|
|
|
|
| 9185 |
2023,
|
| 9186 |
2022,
|
| 9187 |
2021,
|
| 9188 |
+
2020,
|
| 9189 |
+
2019
|
| 9190 |
]
|
| 9191 |
},
|
| 9192 |
"timeseries.state-space-models": {
|
|
|
|
| 9396 |
2023,
|
| 9397 |
2022,
|
| 9398 |
2021,
|
| 9399 |
+
2020,
|
| 9400 |
+
2019
|
| 9401 |
]
|
| 9402 |
},
|
| 9403 |
"trust.causal-mediation": {
|
|
|
|
| 9409 |
2023,
|
| 9410 |
2022,
|
| 9411 |
2021,
|
| 9412 |
+
2020,
|
| 9413 |
+
2019
|
| 9414 |
]
|
| 9415 |
},
|
| 9416 |
"trust.causal-ml": {
|
|
|
|
| 9422 |
2023,
|
| 9423 |
2022,
|
| 9424 |
2021,
|
| 9425 |
+
2020,
|
| 9426 |
+
2019
|
| 9427 |
]
|
| 9428 |
},
|
| 9429 |
"trust.causal-representation-learning": {
|
|
|
|
| 9435 |
2023,
|
| 9436 |
2022,
|
| 9437 |
2021,
|
| 9438 |
+
2020,
|
| 9439 |
+
2019
|
| 9440 |
]
|
| 9441 |
},
|
| 9442 |
"trust.conformal-prediction": {
|
|
|
|
| 9448 |
2023,
|
| 9449 |
2022,
|
| 9450 |
2021,
|
| 9451 |
+
2020,
|
| 9452 |
+
2019
|
| 9453 |
]
|
| 9454 |
},
|
| 9455 |
"trust.counterfactual-explanations": {
|
|
|
|
| 9461 |
2023,
|
| 9462 |
2022,
|
| 9463 |
2021,
|
| 9464 |
+
2020,
|
| 9465 |
+
2019
|
| 9466 |
]
|
| 9467 |
},
|
| 9468 |
"trust.differential-privacy": {
|
|
|
|
| 9474 |
2023,
|
| 9475 |
2022,
|
| 9476 |
2021,
|
| 9477 |
+
2020,
|
| 9478 |
+
2019
|
| 9479 |
]
|
| 9480 |
},
|
| 9481 |
"trust.distribution-shift": {
|
|
|
|
| 9487 |
2023,
|
| 9488 |
2022,
|
| 9489 |
2021,
|
| 9490 |
+
2020,
|
| 9491 |
+
2019
|
| 9492 |
]
|
| 9493 |
},
|
| 9494 |
"trust.domain-generalization": {
|
|
|
|
| 9500 |
2023,
|
| 9501 |
2022,
|
| 9502 |
2021,
|
| 9503 |
+
2020,
|
| 9504 |
+
2019
|
| 9505 |
]
|
| 9506 |
},
|
| 9507 |
"trust.explainable-ai": {
|
|
|
|
| 9513 |
2023,
|
| 9514 |
2022,
|
| 9515 |
2021,
|
| 9516 |
+
2020,
|
| 9517 |
+
2019
|
| 9518 |
]
|
| 9519 |
},
|
| 9520 |
"trust.federated-learning": {
|
|
|
|
| 9760 |
2023,
|
| 9761 |
2022,
|
| 9762 |
2021,
|
| 9763 |
+
2020,
|
| 9764 |
+
2019
|
| 9765 |
]
|
| 9766 |
},
|
| 9767 |
"vision.image-restoration": {
|
|
|
|
| 9773 |
2023,
|
| 9774 |
2022,
|
| 9775 |
2021,
|
| 9776 |
+
2020,
|
| 9777 |
+
2019
|
| 9778 |
]
|
| 9779 |
},
|
| 9780 |
"vision.image-retrieval": {
|
|
|
|
| 9786 |
2023,
|
| 9787 |
2022,
|
| 9788 |
2021,
|
| 9789 |
+
2020,
|
| 9790 |
+
2019
|
| 9791 |
]
|
| 9792 |
},
|
| 9793 |
"vision.image-super-resolution": {
|
|
|
|
| 9799 |
2023,
|
| 9800 |
2022,
|
| 9801 |
2021,
|
| 9802 |
+
2020,
|
| 9803 |
+
2019
|
| 9804 |
]
|
| 9805 |
},
|
| 9806 |
"vision.image-to-image-translation": {
|
|
|
|
| 9812 |
2023,
|
| 9813 |
2022,
|
| 9814 |
2021,
|
| 9815 |
+
2020,
|
| 9816 |
+
2019
|
| 9817 |
]
|
| 9818 |
},
|
| 9819 |
"vision.neural-rendering": {
|
|
|
|
| 9825 |
2023,
|
| 9826 |
2022,
|
| 9827 |
2021,
|
| 9828 |
+
2020,
|
| 9829 |
+
2019
|
| 9830 |
]
|
| 9831 |
},
|
| 9832 |
"vision.object-detection": {
|
|
|
|
| 9838 |
2023,
|
| 9839 |
2022,
|
| 9840 |
2021,
|
| 9841 |
+
2020,
|
| 9842 |
+
2019
|
| 9843 |
]
|
| 9844 |
},
|
| 9845 |
"vision.object-tracking": {
|
|
|
|
| 9851 |
2023,
|
| 9852 |
2022,
|
| 9853 |
2021,
|
| 9854 |
+
2020,
|
| 9855 |
+
2019
|
| 9856 |
]
|
| 9857 |
},
|
| 9858 |
"vision.ocr": {
|
|
|
|
| 9864 |
2023,
|
| 9865 |
2022,
|
| 9866 |
2021,
|
| 9867 |
+
2020,
|
| 9868 |
+
2019
|
| 9869 |
]
|
| 9870 |
},
|
| 9871 |
"vision.open-vocabulary-detection": {
|
|
|
|
| 9877 |
2023,
|
| 9878 |
2022,
|
| 9879 |
2021,
|
| 9880 |
+
2020,
|
| 9881 |
+
2019
|
| 9882 |
]
|
| 9883 |
},
|
| 9884 |
"vision.optical-flow": {
|
|
|
|
| 10023 |
"end": "2026-09-24",
|
| 10024 |
"search_policy_version": 2,
|
| 10025 |
"start_year": 2008,
|
| 10026 |
+
"updated_at": "2026-10-16T15:23:09Z"
|
| 10027 |
}
|