Add GitHub ML run 20261111T181630000000Z-e89c518a
Browse files
coverage/20261111T181630000000Z-e89c518a.json
ADDED
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@@ -0,0 +1,2812 @@
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state/historical-sample.json
CHANGED
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@@ -2424,7 +2424,8 @@
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2014,
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2013,
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2012,
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2011
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]
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},
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"applied.agricultural-ml": {
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2015,
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},
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"applied.intrusion-detection": {
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]
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},
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"applied.inventory-optimization": {
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]
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},
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"applied.learning-to-rank": {
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2015,
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]
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},
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"applied.malware-detection": {
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]
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},
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"applied.ml-econometrics": {
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]
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},
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"applied.plant-disease-detection": {
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@@ -2900,7 +2907,8 @@
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]
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},
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"applied.portfolio-optimization": {
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@@ -2920,7 +2928,8 @@
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2015,
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},
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"applied.predictive-maintenance": {
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]
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},
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"applied.process-mining-prediction": {
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]
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},
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"applied.quantitative-finance": {
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@@ -2980,7 +2991,8 @@
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]
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},
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"applied.recommender-systems": {
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@@ -3000,7 +3012,8 @@
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2013,
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2012
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]
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},
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"applied.search-ranking": {
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@@ -3020,7 +3033,8 @@
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]
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},
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"applied.species-distribution-modeling": {
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@@ -3040,7 +3054,8 @@
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]
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},
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"applied.supply-chain-optimization": {
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@@ -3060,7 +3075,8 @@
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2015,
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]
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},
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"applied.tabular-ml": {
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@@ -3080,7 +3096,8 @@
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]
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},
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"applied.time-series-forecasting": {
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]
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},
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"applied.traffic-prediction": {
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@@ -3120,7 +3138,8 @@
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2015,
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]
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},
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"applied.uplift-modeling": {
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]
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},
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"audio-acoustic-event-classification": {
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@@ -3161,7 +3181,8 @@
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2014,
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2013,
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2012,
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]
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},
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"audio-anomaly-detection": {
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@@ -3182,7 +3203,8 @@
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]
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},
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"audio-asr": {
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@@ -3203,7 +3225,8 @@
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]
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},
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"audio-audio-captioning": {
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@@ -3224,7 +3247,8 @@
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]
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},
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"audio-audio-classification": {
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@@ -3245,7 +3269,8 @@
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]
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},
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| 3251 |
"audio-audio-question-answering": {
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@@ -3266,7 +3291,8 @@
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2011
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]
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},
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"audio-audio-super-resolution": {
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@@ -4084,7 +4110,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
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| 4090 |
"bio.regulatory-sequence-modeling": {
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@@ -4104,7 +4131,8 @@
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-
2012
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]
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},
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"bio.rna-language-models": {
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@@ -4124,7 +4152,8 @@
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-
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]
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},
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| 4130 |
"bio.rna-structure": {
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@@ -4144,7 +4173,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
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| 4150 |
"bio.scrna-seq": {
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@@ -4164,7 +4194,8 @@
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-
2012
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]
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},
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| 4170 |
"bio.single-cell": {
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@@ -4184,7 +4215,8 @@
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2012
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]
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},
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| 4190 |
"bio.spatial-transcriptomics": {
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@@ -4204,7 +4236,8 @@
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2015,
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2014,
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2012
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]
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},
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"bio.transcriptomics": {
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@@ -4224,7 +4257,8 @@
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]
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},
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| 4230 |
"bio.variant-effects": {
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@@ -4244,7 +4278,8 @@
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]
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},
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"chem-admet": {
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@@ -5041,7 +5076,8 @@
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2015,
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]
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},
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| 5047 |
"efficiency.model-compression": {
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@@ -5061,7 +5097,8 @@
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2014,
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2012
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]
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},
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| 5067 |
"efficiency.neural-architecture-search": {
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@@ -5081,7 +5118,8 @@
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2015,
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]
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},
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"efficiency.optimizer-state-sharding": {
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@@ -5101,7 +5139,8 @@
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2015,
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]
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},
|
| 5107 |
"efficiency.parameter-efficient-finetuning": {
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@@ -5121,7 +5160,8 @@
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2015,
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2014,
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]
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},
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| 5127 |
"efficiency.post-training-quantization": {
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@@ -5141,7 +5181,8 @@
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2015,
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]
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},
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"efficiency.pruning": {
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@@ -5161,7 +5202,8 @@
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]
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},
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"efficiency.quantization": {
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@@ -5181,7 +5223,8 @@
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2015,
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]
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},
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"efficiency.quantization-aware-training": {
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@@ -5201,7 +5244,8 @@
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2015,
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2013,
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]
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},
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| 5207 |
"efficiency.sparse-neural-networks": {
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@@ -5221,7 +5265,8 @@
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2015,
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2014,
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2013,
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]
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},
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| 5227 |
"efficiency.speculative-decoding": {
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@@ -5241,7 +5286,8 @@
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2015,
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2014,
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2013,
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]
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},
|
| 5247 |
"gap2026.archaeology-ml": {
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@@ -5618,7 +5664,8 @@
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2015,
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2014,
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2013,
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2012
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]
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},
|
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"gap2026.green-ai-energy": {
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@@ -5638,7 +5685,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
|
| 5644 |
"gap2026.math-learned-optimization": {
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@@ -5658,7 +5706,8 @@
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2015,
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2014,
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2013,
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2012
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]
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},
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| 5664 |
"gap2026.math-neural-combinatorial-optimization": {
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@@ -5678,7 +5727,8 @@
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2015,
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2014,
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2013,
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]
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},
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"gap2026.neuroimaging-connectome": {
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@@ -5698,7 +5748,8 @@
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2015,
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2014,
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2013,
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-
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]
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},
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"gap2026.neuroimaging-eeg": {
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@@ -5718,7 +5769,8 @@
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2015,
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2014,
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2013,
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]
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},
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"gap2026.neuroimaging-fmri": {
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@@ -5738,7 +5790,8 @@
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2015,
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2014,
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]
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},
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"gap2026.neuroimaging-neural-decoding": {
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@@ -5758,7 +5811,8 @@
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2015,
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2014,
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2013,
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]
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},
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| 5764 |
"gap2026.physics-differentiable-simulation": {
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@@ -5778,7 +5832,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
|
| 5784 |
"gap2026.physics-inverse-problem": {
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@@ -5798,7 +5853,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
|
| 5804 |
"gap2026.physics-neural-pde-solver": {
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@@ -5818,7 +5874,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
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| 5824 |
"gap2026.physics-quantum-ml": {
|
|
@@ -5838,7 +5895,8 @@
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2015,
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2014,
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2013,
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2012
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]
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| 5843 |
},
|
| 5844 |
"general.active-learning": {
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@@ -6215,7 +6273,8 @@
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2015,
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2014,
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2013,
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-
2012
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]
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},
|
| 6221 |
"general.logistic-regression": {
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@@ -6235,7 +6294,8 @@
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2015,
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2014,
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2013,
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2012
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]
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},
|
| 6241 |
"general.machine-learning-description": {
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|
@@ -6255,7 +6315,8 @@
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2015,
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| 6256 |
2014,
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2013,
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-
2012
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]
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},
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| 6261 |
"general.machine-learning-readme": {
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|
@@ -6275,7 +6336,8 @@
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2015,
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2014,
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2013,
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2012
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]
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},
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"geo.building-footprints": {
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"geo.urban-sensing": {
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"geo.wildfire-mapping": {
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"graph.e3-equivariance": {
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"multimodal.video-understanding": {
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"multimodal.vision-language": {
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"multimodal.world-models": {
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"nlp-bm25-retrieval": {
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"nlp.topic-modeling": {
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"probable.adaptation-domain-generalization-readme": {
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2015,
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"recall.name.foundation-model": {
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2015,
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"recall.name.large-language-model": {
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"recall.name.machine-learning": {
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"recall.name.multimodal-model": {
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"recall.name.neural-network": {
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"recall.name.transformer-model": {
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"recall.player-tracking": {
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"recall.population-health-prediction": {
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"recall.power-system-forecasting": {
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2015,
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"recall.social-media-analysis": {
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"recall.sports-analytics": {
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"recall.structural-health-monitoring": {
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"recall.student-performance-prediction": {
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"recall26.audio-language-model": {
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"rl.reinforcement-learning-from-human-feedback": {
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"rl.soft-actor-critic": {
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"robotics.tactile-learning": {
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"robotics.visual-language-action": {
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"science.quantum-materials": {
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"science.quantum-physics": {
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"science.scientific-machine-learning": {
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"trust.neuro-symbolic": {
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2015,
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"trust.privacy-preserving-ml": {
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2015,
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"trust.robustness-certification": {
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"trust.safe-reinforcement-learning": {
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2015,
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"trust.shap": {
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2015,
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"trust.uncertainty-quantification": {
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2015,
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2013,
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]
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},
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"vision.action-recognition": {
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2015,
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},
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"vision.pose-estimation": {
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2015,
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2014,
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2013,
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]
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},
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"vision.promptable-segmentation": {
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2015,
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2014,
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2013,
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-
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]
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"vision.segmentation": {
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2015,
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]
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},
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"vision.self-supervised-vision": {
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2015,
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2014,
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2013,
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-
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]
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},
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"vision.topic-computer-vision": {
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2015,
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2014,
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2013,
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]
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},
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"vision.video-generation": {
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2015,
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2014,
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2013,
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-
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]
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},
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"vision.video-understanding": {
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2015,
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2014,
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2013,
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-
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]
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},
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"vision.vision-language": {
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2015,
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2014,
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2013,
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-
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]
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},
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"vision.visual-anomaly-detection": {
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2015,
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2014,
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2013,
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-
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]
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},
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"vision.visual-localization": {
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2015,
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2014,
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2013,
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-
2012
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]
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}
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},
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@@ -14823,5 +15023,5 @@
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|
| 14823 |
"end": "2026-09-24",
|
| 14824 |
"search_policy_version": 2,
|
| 14825 |
"start_year": 2008,
|
| 14826 |
-
"updated_at": "2026-11-
|
| 14827 |
}
|
|
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2014,
|
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2013,
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2012,
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+
2011,
|
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+
2010
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]
|
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},
|
| 2431 |
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|
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|
| 2781 |
2015,
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2014,
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2013,
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+
2012,
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+
2011
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]
|
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},
|
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|
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|
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2015,
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2014,
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2013,
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+
2012,
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+
2011
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]
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},
|
| 2809 |
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|
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2015,
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2014,
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2013,
|
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+
2012,
|
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+
2011
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]
|
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},
|
| 2830 |
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|
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2015,
|
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2014,
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| 2846 |
2013,
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+
2012,
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+
2011
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]
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},
|
| 2851 |
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|
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|
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2015,
|
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2014,
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2013,
|
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+
2012,
|
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+
2011
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]
|
| 2871 |
},
|
| 2872 |
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|
|
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|
| 2886 |
2015,
|
| 2887 |
2014,
|
| 2888 |
2013,
|
| 2889 |
+
2012,
|
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+
2011
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]
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| 2892 |
},
|
| 2893 |
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|
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|
| 2907 |
2015,
|
| 2908 |
2014,
|
| 2909 |
2013,
|
| 2910 |
+
2012,
|
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+
2011
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]
|
| 2913 |
},
|
| 2914 |
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|
|
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2015,
|
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2014,
|
| 2930 |
2013,
|
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+
2012,
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+
2011
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]
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},
|
| 2935 |
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|
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2015,
|
| 2950 |
2014,
|
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2013,
|
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+
2012,
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+
2011
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]
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},
|
| 2956 |
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|
|
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2015,
|
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2014,
|
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2013,
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+
2012,
|
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+
2011
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]
|
| 2976 |
},
|
| 2977 |
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|
|
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|
| 2991 |
2015,
|
| 2992 |
2014,
|
| 2993 |
2013,
|
| 2994 |
+
2012,
|
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+
2011
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]
|
| 2997 |
},
|
| 2998 |
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|
|
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|
| 3012 |
2015,
|
| 3013 |
2014,
|
| 3014 |
2013,
|
| 3015 |
+
2012,
|
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+
2011
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]
|
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},
|
| 3019 |
"applied.search-ranking": {
|
|
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|
| 3033 |
2015,
|
| 3034 |
2014,
|
| 3035 |
2013,
|
| 3036 |
+
2012,
|
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+
2011
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| 3038 |
]
|
| 3039 |
},
|
| 3040 |
"applied.species-distribution-modeling": {
|
|
|
|
| 3054 |
2015,
|
| 3055 |
2014,
|
| 3056 |
2013,
|
| 3057 |
+
2012,
|
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+
2011
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| 3059 |
]
|
| 3060 |
},
|
| 3061 |
"applied.supply-chain-optimization": {
|
|
|
|
| 3075 |
2015,
|
| 3076 |
2014,
|
| 3077 |
2013,
|
| 3078 |
+
2012,
|
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+
2011
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]
|
| 3081 |
},
|
| 3082 |
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|
|
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|
| 3096 |
2015,
|
| 3097 |
2014,
|
| 3098 |
2013,
|
| 3099 |
+
2012,
|
| 3100 |
+
2011
|
| 3101 |
]
|
| 3102 |
},
|
| 3103 |
"applied.time-series-forecasting": {
|
|
|
|
| 3117 |
2015,
|
| 3118 |
2014,
|
| 3119 |
2013,
|
| 3120 |
+
2012,
|
| 3121 |
+
2011
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| 3122 |
]
|
| 3123 |
},
|
| 3124 |
"applied.traffic-prediction": {
|
|
|
|
| 3138 |
2015,
|
| 3139 |
2014,
|
| 3140 |
2013,
|
| 3141 |
+
2012,
|
| 3142 |
+
2011
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| 3143 |
]
|
| 3144 |
},
|
| 3145 |
"applied.uplift-modeling": {
|
|
|
|
| 3159 |
2015,
|
| 3160 |
2014,
|
| 3161 |
2013,
|
| 3162 |
+
2012,
|
| 3163 |
+
2011
|
| 3164 |
]
|
| 3165 |
},
|
| 3166 |
"audio-acoustic-event-classification": {
|
|
|
|
| 3181 |
2014,
|
| 3182 |
2013,
|
| 3183 |
2012,
|
| 3184 |
+
2011,
|
| 3185 |
+
2010
|
| 3186 |
]
|
| 3187 |
},
|
| 3188 |
"audio-anomaly-detection": {
|
|
|
|
| 3203 |
2014,
|
| 3204 |
2013,
|
| 3205 |
2012,
|
| 3206 |
+
2011,
|
| 3207 |
+
2010
|
| 3208 |
]
|
| 3209 |
},
|
| 3210 |
"audio-asr": {
|
|
|
|
| 3225 |
2014,
|
| 3226 |
2013,
|
| 3227 |
2012,
|
| 3228 |
+
2011,
|
| 3229 |
+
2010
|
| 3230 |
]
|
| 3231 |
},
|
| 3232 |
"audio-audio-captioning": {
|
|
|
|
| 3247 |
2014,
|
| 3248 |
2013,
|
| 3249 |
2012,
|
| 3250 |
+
2011,
|
| 3251 |
+
2010
|
| 3252 |
]
|
| 3253 |
},
|
| 3254 |
"audio-audio-classification": {
|
|
|
|
| 3269 |
2014,
|
| 3270 |
2013,
|
| 3271 |
2012,
|
| 3272 |
+
2011,
|
| 3273 |
+
2010
|
| 3274 |
]
|
| 3275 |
},
|
| 3276 |
"audio-audio-question-answering": {
|
|
|
|
| 3291 |
2014,
|
| 3292 |
2013,
|
| 3293 |
2012,
|
| 3294 |
+
2011,
|
| 3295 |
+
2010
|
| 3296 |
]
|
| 3297 |
},
|
| 3298 |
"audio-audio-super-resolution": {
|
|
|
|
| 4110 |
2015,
|
| 4111 |
2014,
|
| 4112 |
2013,
|
| 4113 |
+
2012,
|
| 4114 |
+
2011
|
| 4115 |
]
|
| 4116 |
},
|
| 4117 |
"bio.regulatory-sequence-modeling": {
|
|
|
|
| 4131 |
2015,
|
| 4132 |
2014,
|
| 4133 |
2013,
|
| 4134 |
+
2012,
|
| 4135 |
+
2011
|
| 4136 |
]
|
| 4137 |
},
|
| 4138 |
"bio.rna-language-models": {
|
|
|
|
| 4152 |
2015,
|
| 4153 |
2014,
|
| 4154 |
2013,
|
| 4155 |
+
2012,
|
| 4156 |
+
2011
|
| 4157 |
]
|
| 4158 |
},
|
| 4159 |
"bio.rna-structure": {
|
|
|
|
| 4173 |
2015,
|
| 4174 |
2014,
|
| 4175 |
2013,
|
| 4176 |
+
2012,
|
| 4177 |
+
2011
|
| 4178 |
]
|
| 4179 |
},
|
| 4180 |
"bio.scrna-seq": {
|
|
|
|
| 4194 |
2015,
|
| 4195 |
2014,
|
| 4196 |
2013,
|
| 4197 |
+
2012,
|
| 4198 |
+
2011
|
| 4199 |
]
|
| 4200 |
},
|
| 4201 |
"bio.single-cell": {
|
|
|
|
| 4215 |
2015,
|
| 4216 |
2014,
|
| 4217 |
2013,
|
| 4218 |
+
2012,
|
| 4219 |
+
2011
|
| 4220 |
]
|
| 4221 |
},
|
| 4222 |
"bio.spatial-transcriptomics": {
|
|
|
|
| 4236 |
2015,
|
| 4237 |
2014,
|
| 4238 |
2013,
|
| 4239 |
+
2012,
|
| 4240 |
+
2011
|
| 4241 |
]
|
| 4242 |
},
|
| 4243 |
"bio.transcriptomics": {
|
|
|
|
| 4257 |
2015,
|
| 4258 |
2014,
|
| 4259 |
2013,
|
| 4260 |
+
2012,
|
| 4261 |
+
2011
|
| 4262 |
]
|
| 4263 |
},
|
| 4264 |
"bio.variant-effects": {
|
|
|
|
| 4278 |
2015,
|
| 4279 |
2014,
|
| 4280 |
2013,
|
| 4281 |
+
2012,
|
| 4282 |
+
2011
|
| 4283 |
]
|
| 4284 |
},
|
| 4285 |
"chem-admet": {
|
|
|
|
| 5076 |
2015,
|
| 5077 |
2014,
|
| 5078 |
2013,
|
| 5079 |
+
2012,
|
| 5080 |
+
2011
|
| 5081 |
]
|
| 5082 |
},
|
| 5083 |
"efficiency.model-compression": {
|
|
|
|
| 5097 |
2015,
|
| 5098 |
2014,
|
| 5099 |
2013,
|
| 5100 |
+
2012,
|
| 5101 |
+
2011
|
| 5102 |
]
|
| 5103 |
},
|
| 5104 |
"efficiency.neural-architecture-search": {
|
|
|
|
| 5118 |
2015,
|
| 5119 |
2014,
|
| 5120 |
2013,
|
| 5121 |
+
2012,
|
| 5122 |
+
2011
|
| 5123 |
]
|
| 5124 |
},
|
| 5125 |
"efficiency.optimizer-state-sharding": {
|
|
|
|
| 5139 |
2015,
|
| 5140 |
2014,
|
| 5141 |
2013,
|
| 5142 |
+
2012,
|
| 5143 |
+
2011
|
| 5144 |
]
|
| 5145 |
},
|
| 5146 |
"efficiency.parameter-efficient-finetuning": {
|
|
|
|
| 5160 |
2015,
|
| 5161 |
2014,
|
| 5162 |
2013,
|
| 5163 |
+
2012,
|
| 5164 |
+
2011
|
| 5165 |
]
|
| 5166 |
},
|
| 5167 |
"efficiency.post-training-quantization": {
|
|
|
|
| 5181 |
2015,
|
| 5182 |
2014,
|
| 5183 |
2013,
|
| 5184 |
+
2012,
|
| 5185 |
+
2011
|
| 5186 |
]
|
| 5187 |
},
|
| 5188 |
"efficiency.pruning": {
|
|
|
|
| 5202 |
2015,
|
| 5203 |
2014,
|
| 5204 |
2013,
|
| 5205 |
+
2012,
|
| 5206 |
+
2011
|
| 5207 |
]
|
| 5208 |
},
|
| 5209 |
"efficiency.quantization": {
|
|
|
|
| 5223 |
2015,
|
| 5224 |
2014,
|
| 5225 |
2013,
|
| 5226 |
+
2012,
|
| 5227 |
+
2011
|
| 5228 |
]
|
| 5229 |
},
|
| 5230 |
"efficiency.quantization-aware-training": {
|
|
|
|
| 5244 |
2015,
|
| 5245 |
2014,
|
| 5246 |
2013,
|
| 5247 |
+
2012,
|
| 5248 |
+
2011
|
| 5249 |
]
|
| 5250 |
},
|
| 5251 |
"efficiency.sparse-neural-networks": {
|
|
|
|
| 5265 |
2015,
|
| 5266 |
2014,
|
| 5267 |
2013,
|
| 5268 |
+
2012,
|
| 5269 |
+
2011
|
| 5270 |
]
|
| 5271 |
},
|
| 5272 |
"efficiency.speculative-decoding": {
|
|
|
|
| 5286 |
2015,
|
| 5287 |
2014,
|
| 5288 |
2013,
|
| 5289 |
+
2012,
|
| 5290 |
+
2011
|
| 5291 |
]
|
| 5292 |
},
|
| 5293 |
"gap2026.archaeology-ml": {
|
|
|
|
| 5664 |
2015,
|
| 5665 |
2014,
|
| 5666 |
2013,
|
| 5667 |
+
2012,
|
| 5668 |
+
2011
|
| 5669 |
]
|
| 5670 |
},
|
| 5671 |
"gap2026.green-ai-energy": {
|
|
|
|
| 5685 |
2015,
|
| 5686 |
2014,
|
| 5687 |
2013,
|
| 5688 |
+
2012,
|
| 5689 |
+
2011
|
| 5690 |
]
|
| 5691 |
},
|
| 5692 |
"gap2026.math-learned-optimization": {
|
|
|
|
| 5706 |
2015,
|
| 5707 |
2014,
|
| 5708 |
2013,
|
| 5709 |
+
2012,
|
| 5710 |
+
2011
|
| 5711 |
]
|
| 5712 |
},
|
| 5713 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
|
|
| 5727 |
2015,
|
| 5728 |
2014,
|
| 5729 |
2013,
|
| 5730 |
+
2012,
|
| 5731 |
+
2011
|
| 5732 |
]
|
| 5733 |
},
|
| 5734 |
"gap2026.neuroimaging-connectome": {
|
|
|
|
| 5748 |
2015,
|
| 5749 |
2014,
|
| 5750 |
2013,
|
| 5751 |
+
2012,
|
| 5752 |
+
2011
|
| 5753 |
]
|
| 5754 |
},
|
| 5755 |
"gap2026.neuroimaging-eeg": {
|
|
|
|
| 5769 |
2015,
|
| 5770 |
2014,
|
| 5771 |
2013,
|
| 5772 |
+
2012,
|
| 5773 |
+
2011
|
| 5774 |
]
|
| 5775 |
},
|
| 5776 |
"gap2026.neuroimaging-fmri": {
|
|
|
|
| 5790 |
2015,
|
| 5791 |
2014,
|
| 5792 |
2013,
|
| 5793 |
+
2012,
|
| 5794 |
+
2011
|
| 5795 |
]
|
| 5796 |
},
|
| 5797 |
"gap2026.neuroimaging-neural-decoding": {
|
|
|
|
| 5811 |
2015,
|
| 5812 |
2014,
|
| 5813 |
2013,
|
| 5814 |
+
2012,
|
| 5815 |
+
2011
|
| 5816 |
]
|
| 5817 |
},
|
| 5818 |
"gap2026.physics-differentiable-simulation": {
|
|
|
|
| 5832 |
2015,
|
| 5833 |
2014,
|
| 5834 |
2013,
|
| 5835 |
+
2012,
|
| 5836 |
+
2011
|
| 5837 |
]
|
| 5838 |
},
|
| 5839 |
"gap2026.physics-inverse-problem": {
|
|
|
|
| 5853 |
2015,
|
| 5854 |
2014,
|
| 5855 |
2013,
|
| 5856 |
+
2012,
|
| 5857 |
+
2011
|
| 5858 |
]
|
| 5859 |
},
|
| 5860 |
"gap2026.physics-neural-pde-solver": {
|
|
|
|
| 5874 |
2015,
|
| 5875 |
2014,
|
| 5876 |
2013,
|
| 5877 |
+
2012,
|
| 5878 |
+
2011
|
| 5879 |
]
|
| 5880 |
},
|
| 5881 |
"gap2026.physics-quantum-ml": {
|
|
|
|
| 5895 |
2015,
|
| 5896 |
2014,
|
| 5897 |
2013,
|
| 5898 |
+
2012,
|
| 5899 |
+
2011
|
| 5900 |
]
|
| 5901 |
},
|
| 5902 |
"general.active-learning": {
|
|
|
|
| 6273 |
2015,
|
| 6274 |
2014,
|
| 6275 |
2013,
|
| 6276 |
+
2012,
|
| 6277 |
+
2011
|
| 6278 |
]
|
| 6279 |
},
|
| 6280 |
"general.logistic-regression": {
|
|
|
|
| 6294 |
2015,
|
| 6295 |
2014,
|
| 6296 |
2013,
|
| 6297 |
+
2012,
|
| 6298 |
+
2011
|
| 6299 |
]
|
| 6300 |
},
|
| 6301 |
"general.machine-learning-description": {
|
|
|
|
| 6315 |
2015,
|
| 6316 |
2014,
|
| 6317 |
2013,
|
| 6318 |
+
2012,
|
| 6319 |
+
2011
|
| 6320 |
]
|
| 6321 |
},
|
| 6322 |
"general.machine-learning-readme": {
|
|
|
|
| 6336 |
2015,
|
| 6337 |
2014,
|
| 6338 |
2013,
|
| 6339 |
+
2012,
|
| 6340 |
+
2011
|
| 6341 |
]
|
| 6342 |
},
|
| 6343 |
"general.matrix-factorization": {
|
|
|
|
| 6357 |
2015,
|
| 6358 |
2014,
|
| 6359 |
2013,
|
| 6360 |
+
2012,
|
| 6361 |
+
2011
|
| 6362 |
]
|
| 6363 |
},
|
| 6364 |
"general.meta-learning": {
|
|
|
|
| 6378 |
2015,
|
| 6379 |
2014,
|
| 6380 |
2013,
|
| 6381 |
+
2012,
|
| 6382 |
+
2011
|
| 6383 |
]
|
| 6384 |
},
|
| 6385 |
"general.metric-learning": {
|
|
|
|
| 6399 |
2015,
|
| 6400 |
2014,
|
| 6401 |
2013,
|
| 6402 |
+
2012,
|
| 6403 |
+
2011
|
| 6404 |
]
|
| 6405 |
},
|
| 6406 |
"general.model-architecture": {
|
|
|
|
| 6420 |
2015,
|
| 6421 |
2014,
|
| 6422 |
2013,
|
| 6423 |
+
2012,
|
| 6424 |
+
2011
|
| 6425 |
]
|
| 6426 |
},
|
| 6427 |
"general.multi-task-learning": {
|
|
|
|
| 6441 |
2015,
|
| 6442 |
2014,
|
| 6443 |
2013,
|
| 6444 |
+
2012,
|
| 6445 |
+
2011
|
| 6446 |
]
|
| 6447 |
},
|
| 6448 |
"general.naive-bayes": {
|
|
|
|
| 6462 |
2015,
|
| 6463 |
2014,
|
| 6464 |
2013,
|
| 6465 |
+
2012,
|
| 6466 |
+
2011
|
| 6467 |
]
|
| 6468 |
},
|
| 6469 |
"general.nearest-neighbors": {
|
|
|
|
| 6483 |
2015,
|
| 6484 |
2014,
|
| 6485 |
2013,
|
| 6486 |
+
2012,
|
| 6487 |
+
2011
|
| 6488 |
]
|
| 6489 |
},
|
| 6490 |
"general.neural-network": {
|
|
|
|
| 6504 |
2015,
|
| 6505 |
2014,
|
| 6506 |
2013,
|
| 6507 |
+
2012,
|
| 6508 |
+
2011
|
| 6509 |
]
|
| 6510 |
},
|
| 6511 |
"general.neural-processes": {
|
|
|
|
| 6525 |
2015,
|
| 6526 |
2014,
|
| 6527 |
2013,
|
| 6528 |
+
2012,
|
| 6529 |
+
2011
|
| 6530 |
]
|
| 6531 |
},
|
| 6532 |
"general.normalizing-flows": {
|
|
|
|
| 6546 |
2015,
|
| 6547 |
2014,
|
| 6548 |
2013,
|
| 6549 |
+
2012,
|
| 6550 |
+
2011
|
| 6551 |
]
|
| 6552 |
},
|
| 6553 |
"general.novel-method": {
|
|
|
|
| 6567 |
2015,
|
| 6568 |
2014,
|
| 6569 |
2013,
|
| 6570 |
+
2012,
|
| 6571 |
+
2011
|
| 6572 |
]
|
| 6573 |
},
|
| 6574 |
"general.paper-implementation": {
|
|
|
|
| 6588 |
2015,
|
| 6589 |
2014,
|
| 6590 |
2013,
|
| 6591 |
+
2012,
|
| 6592 |
+
2011
|
| 6593 |
]
|
| 6594 |
},
|
| 6595 |
"general.probabilistic-programming": {
|
|
|
|
| 6609 |
2015,
|
| 6610 |
2014,
|
| 6611 |
2013,
|
| 6612 |
+
2012,
|
| 6613 |
+
2011
|
| 6614 |
]
|
| 6615 |
},
|
| 6616 |
"general.random-forest": {
|
|
|
|
| 6630 |
2015,
|
| 6631 |
2014,
|
| 6632 |
2013,
|
| 6633 |
+
2012,
|
| 6634 |
+
2011
|
| 6635 |
]
|
| 6636 |
},
|
| 6637 |
"general.research-code": {
|
|
|
|
| 6651 |
2015,
|
| 6652 |
2014,
|
| 6653 |
2013,
|
| 6654 |
+
2012,
|
| 6655 |
+
2011
|
| 6656 |
]
|
| 6657 |
},
|
| 6658 |
"general.self-supervised-learning": {
|
|
|
|
| 6672 |
2015,
|
| 6673 |
2014,
|
| 6674 |
2013,
|
| 6675 |
+
2012,
|
| 6676 |
+
2011
|
| 6677 |
]
|
| 6678 |
},
|
| 6679 |
"general.semi-supervised-learning": {
|
|
|
|
| 6693 |
2015,
|
| 6694 |
2014,
|
| 6695 |
2013,
|
| 6696 |
+
2012,
|
| 6697 |
+
2011
|
| 6698 |
]
|
| 6699 |
},
|
| 6700 |
"general.support-vector-machine": {
|
|
|
|
| 6714 |
2015,
|
| 6715 |
2014,
|
| 6716 |
2013,
|
| 6717 |
+
2012,
|
| 6718 |
+
2011
|
| 6719 |
]
|
| 6720 |
},
|
| 6721 |
"general.topic-artificial-intelligence": {
|
|
|
|
| 6735 |
2015,
|
| 6736 |
2014,
|
| 6737 |
2013,
|
| 6738 |
+
2012,
|
| 6739 |
+
2011
|
| 6740 |
]
|
| 6741 |
},
|
| 6742 |
"general.topic-deep-learning": {
|
|
|
|
| 6756 |
2015,
|
| 6757 |
2014,
|
| 6758 |
2013,
|
| 6759 |
+
2012,
|
| 6760 |
+
2011
|
| 6761 |
]
|
| 6762 |
},
|
| 6763 |
"general.topic-machine-learning": {
|
|
|
|
| 6777 |
2015,
|
| 6778 |
2014,
|
| 6779 |
2013,
|
| 6780 |
+
2012,
|
| 6781 |
+
2011
|
| 6782 |
]
|
| 6783 |
},
|
| 6784 |
"general.transfer-learning": {
|
|
|
|
| 6798 |
2015,
|
| 6799 |
2014,
|
| 6800 |
2013,
|
| 6801 |
+
2012,
|
| 6802 |
+
2011
|
| 6803 |
]
|
| 6804 |
},
|
| 6805 |
"general.weak-supervision": {
|
|
|
|
| 6819 |
2015,
|
| 6820 |
2014,
|
| 6821 |
2013,
|
| 6822 |
+
2012,
|
| 6823 |
+
2011
|
| 6824 |
]
|
| 6825 |
},
|
| 6826 |
"geo.building-footprints": {
|
|
|
|
| 7197 |
2015,
|
| 7198 |
2014,
|
| 7199 |
2013,
|
| 7200 |
+
2012,
|
| 7201 |
+
2011
|
| 7202 |
]
|
| 7203 |
},
|
| 7204 |
"geo.sar-imagery": {
|
|
|
|
| 7218 |
2015,
|
| 7219 |
2014,
|
| 7220 |
2013,
|
| 7221 |
+
2012,
|
| 7222 |
+
2011
|
| 7223 |
]
|
| 7224 |
},
|
| 7225 |
"geo.satellite-imagery": {
|
|
|
|
| 7239 |
2015,
|
| 7240 |
2014,
|
| 7241 |
2013,
|
| 7242 |
+
2012,
|
| 7243 |
+
2011
|
| 7244 |
]
|
| 7245 |
},
|
| 7246 |
"geo.topic-earth-observation": {
|
|
|
|
| 7260 |
2015,
|
| 7261 |
2014,
|
| 7262 |
2013,
|
| 7263 |
+
2012,
|
| 7264 |
+
2011
|
| 7265 |
]
|
| 7266 |
},
|
| 7267 |
"geo.topic-geospatial": {
|
|
|
|
| 7281 |
2015,
|
| 7282 |
2014,
|
| 7283 |
2013,
|
| 7284 |
+
2012,
|
| 7285 |
+
2011
|
| 7286 |
]
|
| 7287 |
},
|
| 7288 |
"geo.topic-gis": {
|
|
|
|
| 7302 |
2015,
|
| 7303 |
2014,
|
| 7304 |
2013,
|
| 7305 |
+
2012,
|
| 7306 |
+
2011
|
| 7307 |
]
|
| 7308 |
},
|
| 7309 |
"geo.topic-remote-sensing": {
|
|
|
|
| 7323 |
2015,
|
| 7324 |
2014,
|
| 7325 |
2013,
|
| 7326 |
+
2012,
|
| 7327 |
+
2011
|
| 7328 |
]
|
| 7329 |
},
|
| 7330 |
"geo.trajectory-prediction": {
|
|
|
|
| 7344 |
2015,
|
| 7345 |
2014,
|
| 7346 |
2013,
|
| 7347 |
+
2012,
|
| 7348 |
+
2011
|
| 7349 |
]
|
| 7350 |
},
|
| 7351 |
"geo.urban-sensing": {
|
|
|
|
| 7365 |
2015,
|
| 7366 |
2014,
|
| 7367 |
2013,
|
| 7368 |
+
2012,
|
| 7369 |
+
2011
|
| 7370 |
]
|
| 7371 |
},
|
| 7372 |
"geo.wildfire-mapping": {
|
|
|
|
| 7386 |
2015,
|
| 7387 |
2014,
|
| 7388 |
2013,
|
| 7389 |
+
2012,
|
| 7390 |
+
2011
|
| 7391 |
]
|
| 7392 |
},
|
| 7393 |
"graph.e3-equivariance": {
|
|
|
|
| 7764 |
2015,
|
| 7765 |
2014,
|
| 7766 |
2013,
|
| 7767 |
+
2012,
|
| 7768 |
+
2011
|
| 7769 |
]
|
| 7770 |
},
|
| 7771 |
"graph.neural-ode-graph": {
|
|
|
|
| 7785 |
2015,
|
| 7786 |
2014,
|
| 7787 |
2013,
|
| 7788 |
+
2012,
|
| 7789 |
+
2011
|
| 7790 |
]
|
| 7791 |
},
|
| 7792 |
"graph.persistent-homology": {
|
|
|
|
| 7806 |
2015,
|
| 7807 |
2014,
|
| 7808 |
2013,
|
| 7809 |
+
2012,
|
| 7810 |
+
2011
|
| 7811 |
]
|
| 7812 |
},
|
| 7813 |
"graph.point-cloud-learning": {
|
|
|
|
| 7827 |
2015,
|
| 7828 |
2014,
|
| 7829 |
2013,
|
| 7830 |
+
2012,
|
| 7831 |
+
2011
|
| 7832 |
]
|
| 7833 |
},
|
| 7834 |
"graph.point-clouds": {
|
|
|
|
| 7848 |
2015,
|
| 7849 |
2014,
|
| 7850 |
2013,
|
| 7851 |
+
2012,
|
| 7852 |
+
2011
|
| 7853 |
]
|
| 7854 |
},
|
| 7855 |
"graph.representation-learning": {
|
|
|
|
| 7869 |
2015,
|
| 7870 |
2014,
|
| 7871 |
2013,
|
| 7872 |
+
2012,
|
| 7873 |
+
2011
|
| 7874 |
]
|
| 7875 |
},
|
| 7876 |
"graph.signal-processing": {
|
|
|
|
| 7890 |
2015,
|
| 7891 |
2014,
|
| 7892 |
2013,
|
| 7893 |
+
2012,
|
| 7894 |
+
2011
|
| 7895 |
]
|
| 7896 |
},
|
| 7897 |
"graph.temporal-learning": {
|
|
|
|
| 7911 |
2015,
|
| 7912 |
2014,
|
| 7913 |
2013,
|
| 7914 |
+
2012,
|
| 7915 |
+
2011
|
| 7916 |
]
|
| 7917 |
},
|
| 7918 |
"graph.topic-gnn": {
|
|
|
|
| 7932 |
2015,
|
| 7933 |
2014,
|
| 7934 |
2013,
|
| 7935 |
+
2012,
|
| 7936 |
+
2011
|
| 7937 |
]
|
| 7938 |
},
|
| 7939 |
"graph.topological-ml": {
|
|
|
|
| 7953 |
2015,
|
| 7954 |
2014,
|
| 7955 |
2013,
|
| 7956 |
+
2012,
|
| 7957 |
+
2011
|
| 7958 |
]
|
| 7959 |
},
|
| 7960 |
"llm-code-generation": {
|
|
|
|
| 8415 |
2015,
|
| 8416 |
2014,
|
| 8417 |
2013,
|
| 8418 |
+
2012,
|
| 8419 |
+
2011
|
| 8420 |
]
|
| 8421 |
},
|
| 8422 |
"llm.speculative-decoding": {
|
|
|
|
| 8436 |
2015,
|
| 8437 |
2014,
|
| 8438 |
2013,
|
| 8439 |
+
2012,
|
| 8440 |
+
2011
|
| 8441 |
]
|
| 8442 |
},
|
| 8443 |
"llm.synthetic-data": {
|
|
|
|
| 8457 |
2015,
|
| 8458 |
2014,
|
| 8459 |
2013,
|
| 8460 |
+
2012,
|
| 8461 |
+
2011
|
| 8462 |
]
|
| 8463 |
},
|
| 8464 |
"llm.synthetic-data-generation": {
|
|
|
|
| 8478 |
2015,
|
| 8479 |
2014,
|
| 8480 |
2013,
|
| 8481 |
+
2012,
|
| 8482 |
+
2011
|
| 8483 |
]
|
| 8484 |
},
|
| 8485 |
"llm.test-time-compute": {
|
|
|
|
| 8499 |
2015,
|
| 8500 |
2014,
|
| 8501 |
2013,
|
| 8502 |
+
2012,
|
| 8503 |
+
2011
|
| 8504 |
]
|
| 8505 |
},
|
| 8506 |
"llm.transformers": {
|
|
|
|
| 8520 |
2015,
|
| 8521 |
2014,
|
| 8522 |
2013,
|
| 8523 |
+
2012,
|
| 8524 |
+
2011
|
| 8525 |
]
|
| 8526 |
},
|
| 8527 |
"materials-battery": {
|
|
|
|
| 9045 |
2015,
|
| 9046 |
2014,
|
| 9047 |
2013,
|
| 9048 |
+
2012,
|
| 9049 |
+
2011
|
| 9050 |
]
|
| 9051 |
},
|
| 9052 |
"medical.neural-decoding": {
|
|
|
|
| 9066 |
2015,
|
| 9067 |
2014,
|
| 9068 |
2013,
|
| 9069 |
+
2012,
|
| 9070 |
+
2011
|
| 9071 |
]
|
| 9072 |
},
|
| 9073 |
"medical.neuroimaging": {
|
|
|
|
| 9087 |
2015,
|
| 9088 |
2014,
|
| 9089 |
2013,
|
| 9090 |
+
2012,
|
| 9091 |
+
2011
|
| 9092 |
]
|
| 9093 |
},
|
| 9094 |
"medical.ophthalmology": {
|
|
|
|
| 9108 |
2015,
|
| 9109 |
2014,
|
| 9110 |
2013,
|
| 9111 |
+
2012,
|
| 9112 |
+
2011
|
| 9113 |
]
|
| 9114 |
},
|
| 9115 |
"medical.pathology": {
|
|
|
|
| 9129 |
2015,
|
| 9130 |
2014,
|
| 9131 |
2013,
|
| 9132 |
+
2012,
|
| 9133 |
+
2011
|
| 9134 |
]
|
| 9135 |
},
|
| 9136 |
"medical.pathology-foundation-model": {
|
|
|
|
| 9150 |
2015,
|
| 9151 |
2014,
|
| 9152 |
2013,
|
| 9153 |
+
2012,
|
| 9154 |
+
2011
|
| 9155 |
]
|
| 9156 |
},
|
| 9157 |
"medical.patient-risk": {
|
|
|
|
| 9171 |
2015,
|
| 9172 |
2014,
|
| 9173 |
2013,
|
| 9174 |
+
2012,
|
| 9175 |
+
2011
|
| 9176 |
]
|
| 9177 |
},
|
| 9178 |
"medical.radiology": {
|
|
|
|
| 9192 |
2015,
|
| 9193 |
2014,
|
| 9194 |
2013,
|
| 9195 |
+
2012,
|
| 9196 |
+
2011
|
| 9197 |
]
|
| 9198 |
},
|
| 9199 |
"medical.survival-analysis": {
|
|
|
|
| 9213 |
2015,
|
| 9214 |
2014,
|
| 9215 |
2013,
|
| 9216 |
+
2012,
|
| 9217 |
+
2011
|
| 9218 |
]
|
| 9219 |
},
|
| 9220 |
"medical.wearable-health": {
|
|
|
|
| 9234 |
2015,
|
| 9235 |
2014,
|
| 9236 |
2013,
|
| 9237 |
+
2012,
|
| 9238 |
+
2011
|
| 9239 |
]
|
| 9240 |
},
|
| 9241 |
"multimodal.3d-generation": {
|
|
|
|
| 9612 |
2015,
|
| 9613 |
2014,
|
| 9614 |
2013,
|
| 9615 |
+
2012,
|
| 9616 |
+
2011
|
| 9617 |
]
|
| 9618 |
},
|
| 9619 |
"multimodal.video-language-model": {
|
|
|
|
| 9633 |
2015,
|
| 9634 |
2014,
|
| 9635 |
2013,
|
| 9636 |
+
2012,
|
| 9637 |
+
2011
|
| 9638 |
]
|
| 9639 |
},
|
| 9640 |
"multimodal.video-question-answering": {
|
|
|
|
| 9654 |
2015,
|
| 9655 |
2014,
|
| 9656 |
2013,
|
| 9657 |
+
2012,
|
| 9658 |
+
2011
|
| 9659 |
]
|
| 9660 |
},
|
| 9661 |
"multimodal.video-understanding": {
|
|
|
|
| 9675 |
2015,
|
| 9676 |
2014,
|
| 9677 |
2013,
|
| 9678 |
+
2012,
|
| 9679 |
+
2011
|
| 9680 |
]
|
| 9681 |
},
|
| 9682 |
"multimodal.vision-language": {
|
|
|
|
| 9696 |
2015,
|
| 9697 |
2014,
|
| 9698 |
2013,
|
| 9699 |
+
2012,
|
| 9700 |
+
2011
|
| 9701 |
]
|
| 9702 |
},
|
| 9703 |
"multimodal.visual-question-answering": {
|
|
|
|
| 9717 |
2015,
|
| 9718 |
2014,
|
| 9719 |
2013,
|
| 9720 |
+
2012,
|
| 9721 |
+
2011
|
| 9722 |
]
|
| 9723 |
},
|
| 9724 |
"multimodal.vlm": {
|
|
|
|
| 9738 |
2015,
|
| 9739 |
2014,
|
| 9740 |
2013,
|
| 9741 |
+
2012,
|
| 9742 |
+
2011
|
| 9743 |
]
|
| 9744 |
},
|
| 9745 |
"multimodal.world-models": {
|
|
|
|
| 9759 |
2015,
|
| 9760 |
2014,
|
| 9761 |
2013,
|
| 9762 |
+
2012,
|
| 9763 |
+
2011
|
| 9764 |
]
|
| 9765 |
},
|
| 9766 |
"nlp-bm25-retrieval": {
|
|
|
|
| 10284 |
2015,
|
| 10285 |
2014,
|
| 10286 |
2013,
|
| 10287 |
+
2012,
|
| 10288 |
+
2011
|
| 10289 |
]
|
| 10290 |
},
|
| 10291 |
"nlp.topic-modeling": {
|
|
|
|
| 10305 |
2015,
|
| 10306 |
2014,
|
| 10307 |
2013,
|
| 10308 |
+
2012,
|
| 10309 |
+
2011
|
| 10310 |
]
|
| 10311 |
},
|
| 10312 |
"probable.adaptation-domain-generalization-readme": {
|
|
|
|
| 11019 |
2015,
|
| 11020 |
2014,
|
| 11021 |
2013,
|
| 11022 |
+
2012,
|
| 11023 |
+
2011
|
| 11024 |
]
|
| 11025 |
},
|
| 11026 |
"recall.name.foundation-model": {
|
|
|
|
| 11040 |
2015,
|
| 11041 |
2014,
|
| 11042 |
2013,
|
| 11043 |
+
2012,
|
| 11044 |
+
2011
|
| 11045 |
]
|
| 11046 |
},
|
| 11047 |
"recall.name.language-model": {
|
|
|
|
| 11061 |
2015,
|
| 11062 |
2014,
|
| 11063 |
2013,
|
| 11064 |
+
2012,
|
| 11065 |
+
2011
|
| 11066 |
]
|
| 11067 |
},
|
| 11068 |
"recall.name.large-language-model": {
|
|
|
|
| 11082 |
2015,
|
| 11083 |
2014,
|
| 11084 |
2013,
|
| 11085 |
+
2012,
|
| 11086 |
+
2011
|
| 11087 |
]
|
| 11088 |
},
|
| 11089 |
"recall.name.machine-learning": {
|
|
|
|
| 11103 |
2015,
|
| 11104 |
2014,
|
| 11105 |
2013,
|
| 11106 |
+
2012,
|
| 11107 |
+
2011
|
| 11108 |
]
|
| 11109 |
},
|
| 11110 |
"recall.name.multimodal-model": {
|
|
|
|
| 11124 |
2015,
|
| 11125 |
2014,
|
| 11126 |
2013,
|
| 11127 |
+
2012,
|
| 11128 |
+
2011
|
| 11129 |
]
|
| 11130 |
},
|
| 11131 |
"recall.name.neural-network": {
|
|
|
|
| 11145 |
2015,
|
| 11146 |
2014,
|
| 11147 |
2013,
|
| 11148 |
+
2012,
|
| 11149 |
+
2011
|
| 11150 |
]
|
| 11151 |
},
|
| 11152 |
"recall.name.transformer-model": {
|
|
|
|
| 11166 |
2015,
|
| 11167 |
2014,
|
| 11168 |
2013,
|
| 11169 |
+
2012,
|
| 11170 |
+
2011
|
| 11171 |
]
|
| 11172 |
},
|
| 11173 |
"recall.player-tracking": {
|
|
|
|
| 11187 |
2015,
|
| 11188 |
2014,
|
| 11189 |
2013,
|
| 11190 |
+
2012,
|
| 11191 |
+
2011
|
| 11192 |
]
|
| 11193 |
},
|
| 11194 |
"recall.population-health-prediction": {
|
|
|
|
| 11208 |
2015,
|
| 11209 |
2014,
|
| 11210 |
2013,
|
| 11211 |
+
2012,
|
| 11212 |
+
2011
|
| 11213 |
]
|
| 11214 |
},
|
| 11215 |
"recall.power-system-forecasting": {
|
|
|
|
| 11229 |
2015,
|
| 11230 |
2014,
|
| 11231 |
2013,
|
| 11232 |
+
2012,
|
| 11233 |
+
2011
|
| 11234 |
]
|
| 11235 |
},
|
| 11236 |
"recall.social-media-analysis": {
|
|
|
|
| 11250 |
2015,
|
| 11251 |
2014,
|
| 11252 |
2013,
|
| 11253 |
+
2012,
|
| 11254 |
+
2011
|
| 11255 |
]
|
| 11256 |
},
|
| 11257 |
"recall.sports-analytics": {
|
|
|
|
| 11271 |
2015,
|
| 11272 |
2014,
|
| 11273 |
2013,
|
| 11274 |
+
2012,
|
| 11275 |
+
2011
|
| 11276 |
]
|
| 11277 |
},
|
| 11278 |
"recall.structural-health-monitoring": {
|
|
|
|
| 11292 |
2015,
|
| 11293 |
2014,
|
| 11294 |
2013,
|
| 11295 |
+
2012,
|
| 11296 |
+
2011
|
| 11297 |
]
|
| 11298 |
},
|
| 11299 |
"recall.student-performance-prediction": {
|
|
|
|
| 11313 |
2015,
|
| 11314 |
2014,
|
| 11315 |
2013,
|
| 11316 |
+
2012,
|
| 11317 |
+
2011
|
| 11318 |
]
|
| 11319 |
},
|
| 11320 |
"recall26.audio-language-model": {
|
|
|
|
| 11859 |
2015,
|
| 11860 |
2014,
|
| 11861 |
2013,
|
| 11862 |
+
2012,
|
| 11863 |
+
2011
|
| 11864 |
]
|
| 11865 |
},
|
| 11866 |
"rl.preference": {
|
|
|
|
| 11880 |
2015,
|
| 11881 |
2014,
|
| 11882 |
2013,
|
| 11883 |
+
2012,
|
| 11884 |
+
2011
|
| 11885 |
]
|
| 11886 |
},
|
| 11887 |
"rl.reinforcement-learning-from-human-feedback": {
|
|
|
|
| 11901 |
2015,
|
| 11902 |
2014,
|
| 11903 |
2013,
|
| 11904 |
+
2012,
|
| 11905 |
+
2011
|
| 11906 |
]
|
| 11907 |
},
|
| 11908 |
"rl.safe": {
|
|
|
|
| 11922 |
2015,
|
| 11923 |
2014,
|
| 11924 |
2013,
|
| 11925 |
+
2012,
|
| 11926 |
+
2011
|
| 11927 |
]
|
| 11928 |
},
|
| 11929 |
"rl.soft-actor-critic": {
|
|
|
|
| 11943 |
2015,
|
| 11944 |
2014,
|
| 11945 |
2013,
|
| 11946 |
+
2012,
|
| 11947 |
+
2011
|
| 11948 |
]
|
| 11949 |
},
|
| 11950 |
"robotics.autonomous-driving": {
|
|
|
|
| 12321 |
2015,
|
| 12322 |
2014,
|
| 12323 |
2013,
|
| 12324 |
+
2012,
|
| 12325 |
+
2011
|
| 12326 |
]
|
| 12327 |
},
|
| 12328 |
"robotics.slam": {
|
|
|
|
| 12342 |
2015,
|
| 12343 |
2014,
|
| 12344 |
2013,
|
| 12345 |
+
2012,
|
| 12346 |
+
2011
|
| 12347 |
]
|
| 12348 |
},
|
| 12349 |
"robotics.tactile-learning": {
|
|
|
|
| 12363 |
2015,
|
| 12364 |
2014,
|
| 12365 |
2013,
|
| 12366 |
+
2012,
|
| 12367 |
+
2011
|
| 12368 |
]
|
| 12369 |
},
|
| 12370 |
"robotics.teleoperation": {
|
|
|
|
| 12384 |
2015,
|
| 12385 |
2014,
|
| 12386 |
2013,
|
| 12387 |
+
2012,
|
| 12388 |
+
2011
|
| 12389 |
]
|
| 12390 |
},
|
| 12391 |
"robotics.visual-language-action": {
|
|
|
|
| 12405 |
2015,
|
| 12406 |
2014,
|
| 12407 |
2013,
|
| 12408 |
+
2012,
|
| 12409 |
+
2011
|
| 12410 |
]
|
| 12411 |
},
|
| 12412 |
"robotics.visuomotor-policy": {
|
|
|
|
| 12426 |
2015,
|
| 12427 |
2014,
|
| 12428 |
2013,
|
| 12429 |
+
2012,
|
| 12430 |
+
2011
|
| 12431 |
]
|
| 12432 |
},
|
| 12433 |
"science.astronomy": {
|
|
|
|
| 12804 |
2015,
|
| 12805 |
2014,
|
| 12806 |
2013,
|
| 12807 |
+
2012,
|
| 12808 |
+
2011
|
| 12809 |
]
|
| 12810 |
},
|
| 12811 |
"science.quantum-materials": {
|
|
|
|
| 12825 |
2015,
|
| 12826 |
2014,
|
| 12827 |
2013,
|
| 12828 |
+
2012,
|
| 12829 |
+
2011
|
| 12830 |
]
|
| 12831 |
},
|
| 12832 |
"science.quantum-physics": {
|
|
|
|
| 12846 |
2015,
|
| 12847 |
2014,
|
| 12848 |
2013,
|
| 12849 |
+
2012,
|
| 12850 |
+
2011
|
| 12851 |
]
|
| 12852 |
},
|
| 12853 |
"science.remote-sensing": {
|
|
|
|
| 12867 |
2015,
|
| 12868 |
2014,
|
| 12869 |
2013,
|
| 12870 |
+
2012,
|
| 12871 |
+
2011
|
| 12872 |
]
|
| 12873 |
},
|
| 12874 |
"science.scientific-machine-learning": {
|
|
|
|
| 12888 |
2015,
|
| 12889 |
2014,
|
| 12890 |
2013,
|
| 12891 |
+
2012,
|
| 12892 |
+
2011
|
| 12893 |
]
|
| 12894 |
},
|
| 12895 |
"science.seismic": {
|
|
|
|
| 12909 |
2015,
|
| 12910 |
2014,
|
| 12911 |
2013,
|
| 12912 |
+
2012,
|
| 12913 |
+
2011
|
| 12914 |
]
|
| 12915 |
},
|
| 12916 |
"science.turbulence": {
|
|
|
|
| 12930 |
2015,
|
| 12931 |
2014,
|
| 12932 |
2013,
|
| 12933 |
+
2012,
|
| 12934 |
+
2011
|
| 12935 |
]
|
| 12936 |
},
|
| 12937 |
"science.weather-forecasting": {
|
|
|
|
| 12951 |
2015,
|
| 12952 |
2014,
|
| 12953 |
2013,
|
| 12954 |
+
2012,
|
| 12955 |
+
2011
|
| 12956 |
]
|
| 12957 |
},
|
| 12958 |
"science.weather-nowcasting": {
|
|
|
|
| 12972 |
2015,
|
| 12973 |
2014,
|
| 12974 |
2013,
|
| 12975 |
+
2012,
|
| 12976 |
+
2011
|
| 12977 |
]
|
| 12978 |
},
|
| 12979 |
"specialized.carbon-footprint-training": {
|
|
|
|
| 13644 |
2015,
|
| 13645 |
2014,
|
| 13646 |
2013,
|
| 13647 |
+
2012,
|
| 13648 |
+
2011
|
| 13649 |
]
|
| 13650 |
},
|
| 13651 |
"timeseries.streaming": {
|
|
|
|
| 13665 |
2015,
|
| 13666 |
2014,
|
| 13667 |
2013,
|
| 13668 |
+
2012,
|
| 13669 |
+
2011
|
| 13670 |
]
|
| 13671 |
},
|
| 13672 |
"timeseries.synthetic-generation": {
|
|
|
|
| 13686 |
2015,
|
| 13687 |
2014,
|
| 13688 |
2013,
|
| 13689 |
+
2012,
|
| 13690 |
+
2011
|
| 13691 |
]
|
| 13692 |
},
|
| 13693 |
"timeseries.tabular-foundation-models": {
|
|
|
|
| 13707 |
2015,
|
| 13708 |
2014,
|
| 13709 |
2013,
|
| 13710 |
+
2012,
|
| 13711 |
+
2011
|
| 13712 |
]
|
| 13713 |
},
|
| 13714 |
"timeseries.temporal-fusion-transformer": {
|
|
|
|
| 13728 |
2015,
|
| 13729 |
2014,
|
| 13730 |
2013,
|
| 13731 |
+
2012,
|
| 13732 |
+
2011
|
| 13733 |
]
|
| 13734 |
},
|
| 13735 |
"timeseries.temporal-representation": {
|
|
|
|
| 13749 |
2015,
|
| 13750 |
2014,
|
| 13751 |
2013,
|
| 13752 |
+
2012,
|
| 13753 |
+
2011
|
| 13754 |
]
|
| 13755 |
},
|
| 13756 |
"timeseries.topic": {
|
|
|
|
| 13770 |
2015,
|
| 13771 |
2014,
|
| 13772 |
2013,
|
| 13773 |
+
2012,
|
| 13774 |
+
2011
|
| 13775 |
]
|
| 13776 |
},
|
| 13777 |
"timeseries.traffic-forecasting": {
|
|
|
|
| 13791 |
2015,
|
| 13792 |
2014,
|
| 13793 |
2013,
|
| 13794 |
+
2012,
|
| 13795 |
+
2011
|
| 13796 |
]
|
| 13797 |
},
|
| 13798 |
"timeseries.unevenly-spaced": {
|
|
|
|
| 13812 |
2015,
|
| 13813 |
2014,
|
| 13814 |
2013,
|
| 13815 |
+
2012,
|
| 13816 |
+
2011
|
| 13817 |
]
|
| 13818 |
},
|
| 13819 |
"timeseries.weather-forecasting": {
|
|
|
|
| 13833 |
2015,
|
| 13834 |
2014,
|
| 13835 |
2013,
|
| 13836 |
+
2012,
|
| 13837 |
+
2011
|
| 13838 |
]
|
| 13839 |
},
|
| 13840 |
"trust.adversarial-robustness": {
|
|
|
|
| 14190 |
2015,
|
| 14191 |
2014,
|
| 14192 |
2013,
|
| 14193 |
+
2012,
|
| 14194 |
+
2011
|
| 14195 |
]
|
| 14196 |
},
|
| 14197 |
"trust.instrumental-variable-ml": {
|
|
|
|
| 14211 |
2015,
|
| 14212 |
2014,
|
| 14213 |
2013,
|
| 14214 |
+
2012,
|
| 14215 |
+
2011
|
| 14216 |
]
|
| 14217 |
},
|
| 14218 |
"trust.interpretable-ml": {
|
|
|
|
| 14232 |
2015,
|
| 14233 |
2014,
|
| 14234 |
2013,
|
| 14235 |
+
2012,
|
| 14236 |
+
2011
|
| 14237 |
]
|
| 14238 |
},
|
| 14239 |
"trust.membership-inference": {
|
|
|
|
| 14253 |
2015,
|
| 14254 |
2014,
|
| 14255 |
2013,
|
| 14256 |
+
2012,
|
| 14257 |
+
2011
|
| 14258 |
]
|
| 14259 |
},
|
| 14260 |
"trust.ml-fairness": {
|
|
|
|
| 14274 |
2015,
|
| 14275 |
2014,
|
| 14276 |
2013,
|
| 14277 |
+
2012,
|
| 14278 |
+
2011
|
| 14279 |
]
|
| 14280 |
},
|
| 14281 |
"trust.model-calibration": {
|
|
|
|
| 14295 |
2015,
|
| 14296 |
2014,
|
| 14297 |
2013,
|
| 14298 |
+
2012,
|
| 14299 |
+
2011
|
| 14300 |
]
|
| 14301 |
},
|
| 14302 |
"trust.neuro-symbolic": {
|
|
|
|
| 14316 |
2015,
|
| 14317 |
2014,
|
| 14318 |
2013,
|
| 14319 |
+
2012,
|
| 14320 |
+
2011
|
| 14321 |
]
|
| 14322 |
},
|
| 14323 |
"trust.out-of-distribution-detection": {
|
|
|
|
| 14337 |
2015,
|
| 14338 |
2014,
|
| 14339 |
2013,
|
| 14340 |
+
2012,
|
| 14341 |
+
2011
|
| 14342 |
]
|
| 14343 |
},
|
| 14344 |
"trust.privacy-preserving-ml": {
|
|
|
|
| 14358 |
2015,
|
| 14359 |
2014,
|
| 14360 |
2013,
|
| 14361 |
+
2012,
|
| 14362 |
+
2011
|
| 14363 |
]
|
| 14364 |
},
|
| 14365 |
"trust.robustness-certification": {
|
|
|
|
| 14379 |
2015,
|
| 14380 |
2014,
|
| 14381 |
2013,
|
| 14382 |
+
2012,
|
| 14383 |
+
2011
|
| 14384 |
]
|
| 14385 |
},
|
| 14386 |
"trust.safe-reinforcement-learning": {
|
|
|
|
| 14400 |
2015,
|
| 14401 |
2014,
|
| 14402 |
2013,
|
| 14403 |
+
2012,
|
| 14404 |
+
2011
|
| 14405 |
]
|
| 14406 |
},
|
| 14407 |
"trust.shap": {
|
|
|
|
| 14421 |
2015,
|
| 14422 |
2014,
|
| 14423 |
2013,
|
| 14424 |
+
2012,
|
| 14425 |
+
2011
|
| 14426 |
]
|
| 14427 |
},
|
| 14428 |
"trust.uncertainty-quantification": {
|
|
|
|
| 14442 |
2015,
|
| 14443 |
2014,
|
| 14444 |
2013,
|
| 14445 |
+
2012,
|
| 14446 |
+
2011
|
| 14447 |
]
|
| 14448 |
},
|
| 14449 |
"vision.action-recognition": {
|
|
|
|
| 14799 |
2015,
|
| 14800 |
2014,
|
| 14801 |
2013,
|
| 14802 |
+
2012,
|
| 14803 |
+
2011
|
| 14804 |
]
|
| 14805 |
},
|
| 14806 |
"vision.pose-estimation": {
|
|
|
|
| 14820 |
2015,
|
| 14821 |
2014,
|
| 14822 |
2013,
|
| 14823 |
+
2012,
|
| 14824 |
+
2011
|
| 14825 |
]
|
| 14826 |
},
|
| 14827 |
"vision.promptable-segmentation": {
|
|
|
|
| 14841 |
2015,
|
| 14842 |
2014,
|
| 14843 |
2013,
|
| 14844 |
+
2012,
|
| 14845 |
+
2011
|
| 14846 |
]
|
| 14847 |
},
|
| 14848 |
"vision.segmentation": {
|
|
|
|
| 14862 |
2015,
|
| 14863 |
2014,
|
| 14864 |
2013,
|
| 14865 |
+
2012,
|
| 14866 |
+
2011
|
| 14867 |
]
|
| 14868 |
},
|
| 14869 |
"vision.self-supervised-vision": {
|
|
|
|
| 14883 |
2015,
|
| 14884 |
2014,
|
| 14885 |
2013,
|
| 14886 |
+
2012,
|
| 14887 |
+
2011
|
| 14888 |
]
|
| 14889 |
},
|
| 14890 |
"vision.topic-computer-vision": {
|
|
|
|
| 14904 |
2015,
|
| 14905 |
2014,
|
| 14906 |
2013,
|
| 14907 |
+
2012,
|
| 14908 |
+
2011
|
| 14909 |
]
|
| 14910 |
},
|
| 14911 |
"vision.video-generation": {
|
|
|
|
| 14925 |
2015,
|
| 14926 |
2014,
|
| 14927 |
2013,
|
| 14928 |
+
2012,
|
| 14929 |
+
2011
|
| 14930 |
]
|
| 14931 |
},
|
| 14932 |
"vision.video-understanding": {
|
|
|
|
| 14946 |
2015,
|
| 14947 |
2014,
|
| 14948 |
2013,
|
| 14949 |
+
2012,
|
| 14950 |
+
2011
|
| 14951 |
]
|
| 14952 |
},
|
| 14953 |
"vision.vision-language": {
|
|
|
|
| 14967 |
2015,
|
| 14968 |
2014,
|
| 14969 |
2013,
|
| 14970 |
+
2012,
|
| 14971 |
+
2011
|
| 14972 |
]
|
| 14973 |
},
|
| 14974 |
"vision.visual-anomaly-detection": {
|
|
|
|
| 14988 |
2015,
|
| 14989 |
2014,
|
| 14990 |
2013,
|
| 14991 |
+
2012,
|
| 14992 |
+
2011
|
| 14993 |
]
|
| 14994 |
},
|
| 14995 |
"vision.visual-localization": {
|
|
|
|
| 15009 |
2015,
|
| 15010 |
2014,
|
| 15011 |
2013,
|
| 15012 |
+
2012,
|
| 15013 |
+
2011
|
| 15014 |
]
|
| 15015 |
}
|
| 15016 |
},
|
|
|
|
| 15023 |
"end": "2026-09-24",
|
| 15024 |
"search_policy_version": 2,
|
| 15025 |
"start_year": 2008,
|
| 15026 |
+
"updated_at": "2026-11-11T18:16:30Z"
|
| 15027 |
}
|