Add GitHub ML run 20261108T171503000000Z-7382e327
Browse files
coverage/20261108T171503000000Z-7382e327.json
ADDED
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@@ -0,0 +1,2812 @@
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data/observations/2026/11/08/20261108T171503000000Z-7382e327.jsonl
ADDED
|
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|
|
|
state/historical-sample.json
CHANGED
|
@@ -2423,7 +2423,8 @@
|
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| 2423 |
2015,
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| 2424 |
2014,
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| 2425 |
2013,
|
| 2426 |
-
2012
|
|
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| 2427 |
]
|
| 2428 |
},
|
| 2429 |
"applied.agricultural-ml": {
|
|
@@ -2762,7 +2763,8 @@
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2016,
|
| 2763 |
2015,
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| 2764 |
2014,
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-
2013
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]
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},
|
| 2768 |
"applied.intrusion-detection": {
|
|
@@ -2781,7 +2783,8 @@
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2016,
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2015,
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2014,
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-
2013
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]
|
| 2786 |
},
|
| 2787 |
"applied.inventory-optimization": {
|
|
@@ -2800,7 +2803,8 @@
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2016,
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2015,
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2014,
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-
2013
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]
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| 2805 |
},
|
| 2806 |
"applied.learning-to-rank": {
|
|
@@ -2819,7 +2823,8 @@
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| 2819 |
2016,
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| 2820 |
2015,
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| 2821 |
2014,
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-
2013
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| 2823 |
]
|
| 2824 |
},
|
| 2825 |
"applied.malware-detection": {
|
|
@@ -2838,7 +2843,8 @@
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2016,
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| 2839 |
2015,
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| 2840 |
2014,
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-
2013
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]
|
| 2843 |
},
|
| 2844 |
"applied.ml-econometrics": {
|
|
@@ -2857,7 +2863,8 @@
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| 2857 |
2016,
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| 2858 |
2015,
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| 2859 |
2014,
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| 2860 |
-
2013
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|
|
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]
|
| 2862 |
},
|
| 2863 |
"applied.plant-disease-detection": {
|
|
@@ -2876,7 +2883,8 @@
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2016,
|
| 2877 |
2015,
|
| 2878 |
2014,
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-
2013
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]
|
| 2881 |
},
|
| 2882 |
"applied.portfolio-optimization": {
|
|
@@ -2895,7 +2903,8 @@
|
|
| 2895 |
2016,
|
| 2896 |
2015,
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2014,
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-
2013
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]
|
| 2900 |
},
|
| 2901 |
"applied.predictive-maintenance": {
|
|
@@ -2914,7 +2923,8 @@
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2016,
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2015,
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2014,
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-
2013
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]
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| 2919 |
},
|
| 2920 |
"applied.process-mining-prediction": {
|
|
@@ -2933,7 +2943,8 @@
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2016,
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2015,
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2014,
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-
2013
|
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]
|
| 2938 |
},
|
| 2939 |
"applied.quantitative-finance": {
|
|
@@ -2952,7 +2963,8 @@
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2016,
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2015,
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2014,
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-
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]
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},
|
| 2958 |
"applied.recommender-systems": {
|
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@@ -2971,7 +2983,8 @@
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2016,
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2014,
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-
2013
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]
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},
|
| 2977 |
"applied.search-ranking": {
|
|
@@ -2990,7 +3003,8 @@
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2016,
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2015,
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2014,
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-
2013
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]
|
| 2995 |
},
|
| 2996 |
"applied.species-distribution-modeling": {
|
|
@@ -3009,7 +3023,8 @@
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2016,
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| 3010 |
2015,
|
| 3011 |
2014,
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-
2013
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|
|
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]
|
| 3014 |
},
|
| 3015 |
"applied.supply-chain-optimization": {
|
|
@@ -3028,7 +3043,8 @@
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2016,
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2014,
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-
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]
|
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},
|
| 3034 |
"applied.tabular-ml": {
|
|
@@ -3047,7 +3063,8 @@
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2016,
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2015,
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2014,
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-
2013
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]
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},
|
| 3053 |
"applied.time-series-forecasting": {
|
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@@ -3066,7 +3083,8 @@
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2016,
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2015,
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2014,
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-
2013
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]
|
| 3071 |
},
|
| 3072 |
"applied.traffic-prediction": {
|
|
@@ -3085,7 +3103,8 @@
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2016,
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2015,
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| 3087 |
2014,
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-
2013
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]
|
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},
|
| 3091 |
"applied.uplift-modeling": {
|
|
@@ -3104,7 +3123,8 @@
|
|
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2016,
|
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2015,
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2014,
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-
2013
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]
|
| 3109 |
},
|
| 3110 |
"audio-acoustic-event-classification": {
|
|
@@ -3124,7 +3144,8 @@
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|
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2015,
|
| 3125 |
2014,
|
| 3126 |
2013,
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-
2012
|
|
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]
|
| 3129 |
},
|
| 3130 |
"audio-anomaly-detection": {
|
|
@@ -3144,7 +3165,8 @@
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|
| 3144 |
2015,
|
| 3145 |
2014,
|
| 3146 |
2013,
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-
2012
|
|
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]
|
| 3149 |
},
|
| 3150 |
"audio-asr": {
|
|
@@ -3164,7 +3186,8 @@
|
|
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2015,
|
| 3165 |
2014,
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2013,
|
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-
2012
|
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]
|
| 3169 |
},
|
| 3170 |
"audio-audio-captioning": {
|
|
@@ -3184,7 +3207,8 @@
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|
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2015,
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2014,
|
| 3186 |
2013,
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-
2012
|
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]
|
| 3189 |
},
|
| 3190 |
"audio-audio-classification": {
|
|
@@ -3204,7 +3228,8 @@
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2015,
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2014,
|
| 3206 |
2013,
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-
2012
|
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]
|
| 3209 |
},
|
| 3210 |
"audio-audio-question-answering": {
|
|
@@ -3224,7 +3249,8 @@
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2015,
|
| 3225 |
2014,
|
| 3226 |
2013,
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-
2012
|
|
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]
|
| 3229 |
},
|
| 3230 |
"audio-audio-super-resolution": {
|
|
@@ -4003,7 +4029,8 @@
|
|
| 4003 |
2016,
|
| 4004 |
2015,
|
| 4005 |
2014,
|
| 4006 |
-
2013
|
|
|
|
| 4007 |
]
|
| 4008 |
},
|
| 4009 |
"bio.regulatory-sequence-modeling": {
|
|
@@ -4022,7 +4049,8 @@
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|
| 4022 |
2016,
|
| 4023 |
2015,
|
| 4024 |
2014,
|
| 4025 |
-
2013
|
|
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|
| 4026 |
]
|
| 4027 |
},
|
| 4028 |
"bio.rna-language-models": {
|
|
@@ -4041,7 +4069,8 @@
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| 4041 |
2016,
|
| 4042 |
2015,
|
| 4043 |
2014,
|
| 4044 |
-
2013
|
|
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]
|
| 4046 |
},
|
| 4047 |
"bio.rna-structure": {
|
|
@@ -4060,7 +4089,8 @@
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2016,
|
| 4061 |
2015,
|
| 4062 |
2014,
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| 4063 |
-
2013
|
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|
| 4064 |
]
|
| 4065 |
},
|
| 4066 |
"bio.scrna-seq": {
|
|
@@ -4079,7 +4109,8 @@
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|
| 4079 |
2016,
|
| 4080 |
2015,
|
| 4081 |
2014,
|
| 4082 |
-
2013
|
|
|
|
| 4083 |
]
|
| 4084 |
},
|
| 4085 |
"bio.single-cell": {
|
|
@@ -4098,7 +4129,8 @@
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|
| 4098 |
2016,
|
| 4099 |
2015,
|
| 4100 |
2014,
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| 4101 |
-
2013
|
|
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|
| 4102 |
]
|
| 4103 |
},
|
| 4104 |
"bio.spatial-transcriptomics": {
|
|
@@ -4117,7 +4149,8 @@
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|
| 4117 |
2016,
|
| 4118 |
2015,
|
| 4119 |
2014,
|
| 4120 |
-
2013
|
|
|
|
| 4121 |
]
|
| 4122 |
},
|
| 4123 |
"bio.transcriptomics": {
|
|
@@ -4136,7 +4169,8 @@
|
|
| 4136 |
2016,
|
| 4137 |
2015,
|
| 4138 |
2014,
|
| 4139 |
-
2013
|
|
|
|
| 4140 |
]
|
| 4141 |
},
|
| 4142 |
"bio.variant-effects": {
|
|
@@ -4155,7 +4189,8 @@
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|
| 4155 |
2016,
|
| 4156 |
2015,
|
| 4157 |
2014,
|
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-
2013
|
|
|
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]
|
| 4160 |
},
|
| 4161 |
"chem-admet": {
|
|
@@ -4914,7 +4949,8 @@
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|
| 4914 |
2016,
|
| 4915 |
2015,
|
| 4916 |
2014,
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| 4917 |
-
2013
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|
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|
| 4918 |
]
|
| 4919 |
},
|
| 4920 |
"efficiency.model-compression": {
|
|
@@ -4933,7 +4969,8 @@
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|
| 4933 |
2016,
|
| 4934 |
2015,
|
| 4935 |
2014,
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| 4936 |
-
2013
|
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|
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]
|
| 4938 |
},
|
| 4939 |
"efficiency.neural-architecture-search": {
|
|
@@ -4952,7 +4989,8 @@
|
|
| 4952 |
2016,
|
| 4953 |
2015,
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| 4954 |
2014,
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-
2013
|
|
|
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| 4956 |
]
|
| 4957 |
},
|
| 4958 |
"efficiency.optimizer-state-sharding": {
|
|
@@ -4971,7 +5009,8 @@
|
|
| 4971 |
2016,
|
| 4972 |
2015,
|
| 4973 |
2014,
|
| 4974 |
-
2013
|
|
|
|
| 4975 |
]
|
| 4976 |
},
|
| 4977 |
"efficiency.parameter-efficient-finetuning": {
|
|
@@ -4990,7 +5029,8 @@
|
|
| 4990 |
2016,
|
| 4991 |
2015,
|
| 4992 |
2014,
|
| 4993 |
-
2013
|
|
|
|
| 4994 |
]
|
| 4995 |
},
|
| 4996 |
"efficiency.post-training-quantization": {
|
|
@@ -5009,7 +5049,8 @@
|
|
| 5009 |
2016,
|
| 5010 |
2015,
|
| 5011 |
2014,
|
| 5012 |
-
2013
|
|
|
|
| 5013 |
]
|
| 5014 |
},
|
| 5015 |
"efficiency.pruning": {
|
|
@@ -5028,7 +5069,8 @@
|
|
| 5028 |
2016,
|
| 5029 |
2015,
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| 5030 |
2014,
|
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-
2013
|
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|
| 5032 |
]
|
| 5033 |
},
|
| 5034 |
"efficiency.quantization": {
|
|
@@ -5047,7 +5089,8 @@
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| 5047 |
2016,
|
| 5048 |
2015,
|
| 5049 |
2014,
|
| 5050 |
-
2013
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|
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|
| 5051 |
]
|
| 5052 |
},
|
| 5053 |
"efficiency.quantization-aware-training": {
|
|
@@ -5066,7 +5109,8 @@
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| 5066 |
2016,
|
| 5067 |
2015,
|
| 5068 |
2014,
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-
2013
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| 5070 |
]
|
| 5071 |
},
|
| 5072 |
"efficiency.sparse-neural-networks": {
|
|
@@ -5085,7 +5129,8 @@
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| 5085 |
2016,
|
| 5086 |
2015,
|
| 5087 |
2014,
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| 5088 |
-
2013
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|
| 5089 |
]
|
| 5090 |
},
|
| 5091 |
"efficiency.speculative-decoding": {
|
|
@@ -5104,7 +5149,8 @@
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|
| 5104 |
2016,
|
| 5105 |
2015,
|
| 5106 |
2014,
|
| 5107 |
-
2013
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|
|
|
| 5108 |
]
|
| 5109 |
},
|
| 5110 |
"gap2026.archaeology-ml": {
|
|
@@ -5463,7 +5509,8 @@
|
|
| 5463 |
2016,
|
| 5464 |
2015,
|
| 5465 |
2014,
|
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-
2013
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|
| 5467 |
]
|
| 5468 |
},
|
| 5469 |
"gap2026.green-ai-energy": {
|
|
@@ -5482,7 +5529,8 @@
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|
| 5482 |
2016,
|
| 5483 |
2015,
|
| 5484 |
2014,
|
| 5485 |
-
2013
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|
| 5486 |
]
|
| 5487 |
},
|
| 5488 |
"gap2026.math-learned-optimization": {
|
|
@@ -5501,7 +5549,8 @@
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|
| 5501 |
2016,
|
| 5502 |
2015,
|
| 5503 |
2014,
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-
2013
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|
| 5505 |
]
|
| 5506 |
},
|
| 5507 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
@@ -5520,7 +5569,8 @@
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2016,
|
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2015,
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2014,
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-
2013
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|
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]
|
| 5525 |
},
|
| 5526 |
"gap2026.neuroimaging-connectome": {
|
|
@@ -5539,7 +5589,8 @@
|
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2016,
|
| 5540 |
2015,
|
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2014,
|
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-
2013
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]
|
| 5544 |
},
|
| 5545 |
"gap2026.neuroimaging-eeg": {
|
|
@@ -5558,7 +5609,8 @@
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| 5558 |
2016,
|
| 5559 |
2015,
|
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2014,
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-
2013
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| 5562 |
]
|
| 5563 |
},
|
| 5564 |
"gap2026.neuroimaging-fmri": {
|
|
@@ -5577,7 +5629,8 @@
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2016,
|
| 5578 |
2015,
|
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2014,
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-
2013
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|
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]
|
| 5582 |
},
|
| 5583 |
"gap2026.neuroimaging-neural-decoding": {
|
|
@@ -5596,7 +5649,8 @@
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| 5596 |
2016,
|
| 5597 |
2015,
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2014,
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-
2013
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|
| 5600 |
]
|
| 5601 |
},
|
| 5602 |
"gap2026.physics-differentiable-simulation": {
|
|
@@ -5615,7 +5669,8 @@
|
|
| 5615 |
2016,
|
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2015,
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2014,
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-
2013
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]
|
| 5620 |
},
|
| 5621 |
"gap2026.physics-inverse-problem": {
|
|
@@ -5634,7 +5689,8 @@
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|
| 5634 |
2016,
|
| 5635 |
2015,
|
| 5636 |
2014,
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-
2013
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|
| 5638 |
]
|
| 5639 |
},
|
| 5640 |
"gap2026.physics-neural-pde-solver": {
|
|
@@ -5653,7 +5709,8 @@
|
|
| 5653 |
2016,
|
| 5654 |
2015,
|
| 5655 |
2014,
|
| 5656 |
-
2013
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|
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|
| 5657 |
]
|
| 5658 |
},
|
| 5659 |
"gap2026.physics-quantum-ml": {
|
|
@@ -5672,7 +5729,8 @@
|
|
| 5672 |
2016,
|
| 5673 |
2015,
|
| 5674 |
2014,
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| 5675 |
-
2013
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|
| 5676 |
]
|
| 5677 |
},
|
| 5678 |
"general.active-learning": {
|
|
@@ -6031,7 +6089,8 @@
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| 6031 |
2016,
|
| 6032 |
2015,
|
| 6033 |
2014,
|
| 6034 |
-
2013
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|
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|
| 6035 |
]
|
| 6036 |
},
|
| 6037 |
"general.logistic-regression": {
|
|
@@ -6050,7 +6109,8 @@
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|
| 6050 |
2016,
|
| 6051 |
2015,
|
| 6052 |
2014,
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| 6053 |
-
2013
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|
| 6054 |
]
|
| 6055 |
},
|
| 6056 |
"general.machine-learning-description": {
|
|
@@ -6069,7 +6129,8 @@
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|
| 6069 |
2016,
|
| 6070 |
2015,
|
| 6071 |
2014,
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-
2013
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|
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]
|
| 6074 |
},
|
| 6075 |
"general.machine-learning-readme": {
|
|
@@ -6088,7 +6149,8 @@
|
|
| 6088 |
2016,
|
| 6089 |
2015,
|
| 6090 |
2014,
|
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"general.metric-learning": {
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"general.model-architecture": {
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"general.paper-implementation": {
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"general.probabilistic-programming": {
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"general.random-forest": {
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"general.self-supervised-learning": {
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"general.semi-supervised-learning": {
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"general.support-vector-machine": {
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"general.topic-artificial-intelligence": {
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"general.topic-deep-learning": {
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"geo.building-footprints": {
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"geo.topic-earth-observation": {
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"geo.topic-geospatial": {
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"geo.topic-gis": {
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"geo.topic-remote-sensing": {
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"geo.trajectory-prediction": {
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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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"graph.neural-ode-graph": {
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"graph.persistent-homology": {
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"graph.point-cloud-learning": {
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"graph.representation-learning": {
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"graph.signal-processing": {
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"graph.temporal-learning": {
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"graph.topic-gnn": {
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"graph.topological-ml": {
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"llm-code-generation": {
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"llm.speculative-decoding": {
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"medical.patient-risk": {
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"medical.radiology": {
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"medical.wearable-health": {
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"multimodal.3d-generation": {
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"multimodal.video-language-model": {
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"multimodal.video-question-answering": {
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"multimodal.video-understanding": {
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"multimodal.vision-language": {
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"multimodal.visual-question-answering": {
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2016,
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"multimodal.vlm": {
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2016,
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"multimodal.world-models": {
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2016,
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"nlp-bm25-retrieval": {
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2016,
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"nlp.topic-modeling": {
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"probable.adaptation-domain-generalization-readme": {
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2016,
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"recall.name.foundation-model": {
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2016,
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"recall.name.language-model": {
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2016,
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"recall.name.large-language-model": {
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2016,
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"recall.name.machine-learning": {
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2016,
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"recall.name.multimodal-model": {
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2016,
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"recall.name.neural-network": {
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2016,
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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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2016,
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"recall.power-system-forecasting": {
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2016,
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"recall.social-media-analysis": {
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2016,
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"recall.sports-analytics": {
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2016,
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"recall.structural-health-monitoring": {
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2016,
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"recall.student-performance-prediction": {
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2016,
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"recall26.audio-language-model": {
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2016,
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2015,
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"rl.preference": {
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"rl.reinforcement-learning-from-human-feedback": {
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2016,
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"rl.safe": {
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2016,
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"rl.soft-actor-critic": {
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2016,
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"robotics.autonomous-driving": {
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"robotics.tactile-learning": {
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"robotics.teleoperation": {
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"robotics.visual-language-action": {
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"robotics.visuomotor-policy": {
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"science.quantum-materials": {
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"science.scientific-machine-learning": {
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"timeseries.temporal-fusion-transformer": {
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"timeseries.traffic-forecasting": {
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"trust.instrumental-variable-ml": {
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"trust.neuro-symbolic": {
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"trust.privacy-preserving-ml": {
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"trust.robustness-certification": {
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"trust.safe-reinforcement-learning": {
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2016,
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"trust.shap": {
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2016,
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"trust.uncertainty-quantification": {
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2016,
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"vision.action-recognition": {
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2016,
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2015,
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"vision.pose-estimation": {
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2016,
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2015,
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2014,
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]
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},
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"vision.promptable-segmentation": {
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2016,
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2015,
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2014,
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-
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]
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"vision.segmentation": {
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2016,
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2015,
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-
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]
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},
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"vision.self-supervised-vision": {
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2016,
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2015,
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2014,
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-
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]
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},
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"vision.topic-computer-vision": {
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2016,
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2015,
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2014,
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]
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},
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"vision.video-generation": {
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2016,
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2015,
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]
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},
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"vision.video-understanding": {
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2016,
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2015,
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-
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]
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},
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"vision.vision-language": {
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2016,
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2015,
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2014,
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-
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]
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},
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"vision.visual-anomaly-detection": {
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2016,
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2015,
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-
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]
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},
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"vision.visual-localization": {
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2016,
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2015,
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2014,
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-
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]
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}
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},
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@@ -14223,5 +14423,5 @@
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"end": "2026-09-24",
|
| 14224 |
"search_policy_version": 2,
|
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"start_year": 2008,
|
| 14226 |
-
"updated_at": "2026-11-
|
| 14227 |
}
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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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},
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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
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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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2016,
|
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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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2016,
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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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2016,
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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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2015,
|
| 3145 |
2014,
|
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2013,
|
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+
2012,
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+
2011
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]
|
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},
|
| 3151 |
"audio-anomaly-detection": {
|
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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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},
|
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"audio-asr": {
|
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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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},
|
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"audio-audio-captioning": {
|
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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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},
|
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|
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2015,
|
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2014,
|
| 3230 |
2013,
|
| 3231 |
+
2012,
|
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+
2011
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]
|
| 3234 |
},
|
| 3235 |
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|
|
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|
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2015,
|
| 3250 |
2014,
|
| 3251 |
2013,
|
| 3252 |
+
2012,
|
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+
2011
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]
|
| 3255 |
},
|
| 3256 |
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|
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2016,
|
| 4030 |
2015,
|
| 4031 |
2014,
|
| 4032 |
+
2013,
|
| 4033 |
+
2012
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| 4034 |
]
|
| 4035 |
},
|
| 4036 |
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|
|
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|
| 4049 |
2016,
|
| 4050 |
2015,
|
| 4051 |
2014,
|
| 4052 |
+
2013,
|
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+
2012
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]
|
| 4055 |
},
|
| 4056 |
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|
|
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| 4069 |
2016,
|
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2015,
|
| 4071 |
2014,
|
| 4072 |
+
2013,
|
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+
2012
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]
|
| 4075 |
},
|
| 4076 |
"bio.rna-structure": {
|
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2016,
|
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2015,
|
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2014,
|
| 4092 |
+
2013,
|
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+
2012
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]
|
| 4095 |
},
|
| 4096 |
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|
|
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|
| 4109 |
2016,
|
| 4110 |
2015,
|
| 4111 |
2014,
|
| 4112 |
+
2013,
|
| 4113 |
+
2012
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| 4114 |
]
|
| 4115 |
},
|
| 4116 |
"bio.single-cell": {
|
|
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|
| 4129 |
2016,
|
| 4130 |
2015,
|
| 4131 |
2014,
|
| 4132 |
+
2013,
|
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+
2012
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]
|
| 4135 |
},
|
| 4136 |
"bio.spatial-transcriptomics": {
|
|
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|
| 4149 |
2016,
|
| 4150 |
2015,
|
| 4151 |
2014,
|
| 4152 |
+
2013,
|
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+
2012
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]
|
| 4155 |
},
|
| 4156 |
"bio.transcriptomics": {
|
|
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2016,
|
| 4170 |
2015,
|
| 4171 |
2014,
|
| 4172 |
+
2013,
|
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+
2012
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]
|
| 4175 |
},
|
| 4176 |
"bio.variant-effects": {
|
|
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|
| 4189 |
2016,
|
| 4190 |
2015,
|
| 4191 |
2014,
|
| 4192 |
+
2013,
|
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+
2012
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]
|
| 4195 |
},
|
| 4196 |
"chem-admet": {
|
|
|
|
| 4949 |
2016,
|
| 4950 |
2015,
|
| 4951 |
2014,
|
| 4952 |
+
2013,
|
| 4953 |
+
2012
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]
|
| 4955 |
},
|
| 4956 |
"efficiency.model-compression": {
|
|
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|
| 4969 |
2016,
|
| 4970 |
2015,
|
| 4971 |
2014,
|
| 4972 |
+
2013,
|
| 4973 |
+
2012
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]
|
| 4975 |
},
|
| 4976 |
"efficiency.neural-architecture-search": {
|
|
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|
| 4989 |
2016,
|
| 4990 |
2015,
|
| 4991 |
2014,
|
| 4992 |
+
2013,
|
| 4993 |
+
2012
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]
|
| 4995 |
},
|
| 4996 |
"efficiency.optimizer-state-sharding": {
|
|
|
|
| 5009 |
2016,
|
| 5010 |
2015,
|
| 5011 |
2014,
|
| 5012 |
+
2013,
|
| 5013 |
+
2012
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]
|
| 5015 |
},
|
| 5016 |
"efficiency.parameter-efficient-finetuning": {
|
|
|
|
| 5029 |
2016,
|
| 5030 |
2015,
|
| 5031 |
2014,
|
| 5032 |
+
2013,
|
| 5033 |
+
2012
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| 5034 |
]
|
| 5035 |
},
|
| 5036 |
"efficiency.post-training-quantization": {
|
|
|
|
| 5049 |
2016,
|
| 5050 |
2015,
|
| 5051 |
2014,
|
| 5052 |
+
2013,
|
| 5053 |
+
2012
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]
|
| 5055 |
},
|
| 5056 |
"efficiency.pruning": {
|
|
|
|
| 5069 |
2016,
|
| 5070 |
2015,
|
| 5071 |
2014,
|
| 5072 |
+
2013,
|
| 5073 |
+
2012
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]
|
| 5075 |
},
|
| 5076 |
"efficiency.quantization": {
|
|
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|
| 5089 |
2016,
|
| 5090 |
2015,
|
| 5091 |
2014,
|
| 5092 |
+
2013,
|
| 5093 |
+
2012
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| 5094 |
]
|
| 5095 |
},
|
| 5096 |
"efficiency.quantization-aware-training": {
|
|
|
|
| 5109 |
2016,
|
| 5110 |
2015,
|
| 5111 |
2014,
|
| 5112 |
+
2013,
|
| 5113 |
+
2012
|
| 5114 |
]
|
| 5115 |
},
|
| 5116 |
"efficiency.sparse-neural-networks": {
|
|
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|
| 5129 |
2016,
|
| 5130 |
2015,
|
| 5131 |
2014,
|
| 5132 |
+
2013,
|
| 5133 |
+
2012
|
| 5134 |
]
|
| 5135 |
},
|
| 5136 |
"efficiency.speculative-decoding": {
|
|
|
|
| 5149 |
2016,
|
| 5150 |
2015,
|
| 5151 |
2014,
|
| 5152 |
+
2013,
|
| 5153 |
+
2012
|
| 5154 |
]
|
| 5155 |
},
|
| 5156 |
"gap2026.archaeology-ml": {
|
|
|
|
| 5509 |
2016,
|
| 5510 |
2015,
|
| 5511 |
2014,
|
| 5512 |
+
2013,
|
| 5513 |
+
2012
|
| 5514 |
]
|
| 5515 |
},
|
| 5516 |
"gap2026.green-ai-energy": {
|
|
|
|
| 5529 |
2016,
|
| 5530 |
2015,
|
| 5531 |
2014,
|
| 5532 |
+
2013,
|
| 5533 |
+
2012
|
| 5534 |
]
|
| 5535 |
},
|
| 5536 |
"gap2026.math-learned-optimization": {
|
|
|
|
| 5549 |
2016,
|
| 5550 |
2015,
|
| 5551 |
2014,
|
| 5552 |
+
2013,
|
| 5553 |
+
2012
|
| 5554 |
]
|
| 5555 |
},
|
| 5556 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
|
|
| 5569 |
2016,
|
| 5570 |
2015,
|
| 5571 |
2014,
|
| 5572 |
+
2013,
|
| 5573 |
+
2012
|
| 5574 |
]
|
| 5575 |
},
|
| 5576 |
"gap2026.neuroimaging-connectome": {
|
|
|
|
| 5589 |
2016,
|
| 5590 |
2015,
|
| 5591 |
2014,
|
| 5592 |
+
2013,
|
| 5593 |
+
2012
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| 5594 |
]
|
| 5595 |
},
|
| 5596 |
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|
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|
| 5609 |
2016,
|
| 5610 |
2015,
|
| 5611 |
2014,
|
| 5612 |
+
2013,
|
| 5613 |
+
2012
|
| 5614 |
]
|
| 5615 |
},
|
| 5616 |
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|
|
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|
| 5629 |
2016,
|
| 5630 |
2015,
|
| 5631 |
2014,
|
| 5632 |
+
2013,
|
| 5633 |
+
2012
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| 5634 |
]
|
| 5635 |
},
|
| 5636 |
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|
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|
| 5649 |
2016,
|
| 5650 |
2015,
|
| 5651 |
2014,
|
| 5652 |
+
2013,
|
| 5653 |
+
2012
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]
|
| 5655 |
},
|
| 5656 |
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|
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|
|
| 5669 |
2016,
|
| 5670 |
2015,
|
| 5671 |
2014,
|
| 5672 |
+
2013,
|
| 5673 |
+
2012
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]
|
| 5675 |
},
|
| 5676 |
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|
| 5689 |
2016,
|
| 5690 |
2015,
|
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2014,
|
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+
2013,
|
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+
2012
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]
|
| 5695 |
},
|
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|
| 5709 |
2016,
|
| 5710 |
2015,
|
| 5711 |
2014,
|
| 5712 |
+
2013,
|
| 5713 |
+
2012
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]
|
| 5715 |
},
|
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|
| 5729 |
2016,
|
| 5730 |
2015,
|
| 5731 |
2014,
|
| 5732 |
+
2013,
|
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+
2012
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]
|
| 5735 |
},
|
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|
| 6089 |
2016,
|
| 6090 |
2015,
|
| 6091 |
2014,
|
| 6092 |
+
2013,
|
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+
2012
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]
|
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},
|
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|
| 6109 |
2016,
|
| 6110 |
2015,
|
| 6111 |
2014,
|
| 6112 |
+
2013,
|
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+
2012
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]
|
| 6115 |
},
|
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|
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|
| 6129 |
2016,
|
| 6130 |
2015,
|
| 6131 |
2014,
|
| 6132 |
+
2013,
|
| 6133 |
+
2012
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]
|
| 6135 |
},
|
| 6136 |
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|
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|
| 6149 |
2016,
|
| 6150 |
2015,
|
| 6151 |
2014,
|
| 6152 |
+
2013,
|
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+
2012
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]
|
| 6155 |
},
|
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|
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|
|
| 6169 |
2016,
|
| 6170 |
2015,
|
| 6171 |
2014,
|
| 6172 |
+
2013,
|
| 6173 |
+
2012
|
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]
|
| 6175 |
},
|
| 6176 |
"general.meta-learning": {
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|
| 6189 |
2016,
|
| 6190 |
2015,
|
| 6191 |
2014,
|
| 6192 |
+
2013,
|
| 6193 |
+
2012
|
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]
|
| 6195 |
},
|
| 6196 |
"general.metric-learning": {
|
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|
| 6209 |
2016,
|
| 6210 |
2015,
|
| 6211 |
2014,
|
| 6212 |
+
2013,
|
| 6213 |
+
2012
|
| 6214 |
]
|
| 6215 |
},
|
| 6216 |
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|
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|
|
| 6229 |
2016,
|
| 6230 |
2015,
|
| 6231 |
2014,
|
| 6232 |
+
2013,
|
| 6233 |
+
2012
|
| 6234 |
]
|
| 6235 |
},
|
| 6236 |
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|
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|
|
| 6249 |
2016,
|
| 6250 |
2015,
|
| 6251 |
2014,
|
| 6252 |
+
2013,
|
| 6253 |
+
2012
|
| 6254 |
]
|
| 6255 |
},
|
| 6256 |
"general.naive-bayes": {
|
|
|
|
| 6269 |
2016,
|
| 6270 |
2015,
|
| 6271 |
2014,
|
| 6272 |
+
2013,
|
| 6273 |
+
2012
|
| 6274 |
]
|
| 6275 |
},
|
| 6276 |
"general.nearest-neighbors": {
|
|
|
|
| 6289 |
2016,
|
| 6290 |
2015,
|
| 6291 |
2014,
|
| 6292 |
+
2013,
|
| 6293 |
+
2012
|
| 6294 |
]
|
| 6295 |
},
|
| 6296 |
"general.neural-network": {
|
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|
|
| 6309 |
2016,
|
| 6310 |
2015,
|
| 6311 |
2014,
|
| 6312 |
+
2013,
|
| 6313 |
+
2012
|
| 6314 |
]
|
| 6315 |
},
|
| 6316 |
"general.neural-processes": {
|
|
|
|
| 6329 |
2016,
|
| 6330 |
2015,
|
| 6331 |
2014,
|
| 6332 |
+
2013,
|
| 6333 |
+
2012
|
| 6334 |
]
|
| 6335 |
},
|
| 6336 |
"general.normalizing-flows": {
|
|
|
|
| 6349 |
2016,
|
| 6350 |
2015,
|
| 6351 |
2014,
|
| 6352 |
+
2013,
|
| 6353 |
+
2012
|
| 6354 |
]
|
| 6355 |
},
|
| 6356 |
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|
|
|
|
| 6369 |
2016,
|
| 6370 |
2015,
|
| 6371 |
2014,
|
| 6372 |
+
2013,
|
| 6373 |
+
2012
|
| 6374 |
]
|
| 6375 |
},
|
| 6376 |
"general.paper-implementation": {
|
|
|
|
| 6389 |
2016,
|
| 6390 |
2015,
|
| 6391 |
2014,
|
| 6392 |
+
2013,
|
| 6393 |
+
2012
|
| 6394 |
]
|
| 6395 |
},
|
| 6396 |
"general.probabilistic-programming": {
|
|
|
|
| 6409 |
2016,
|
| 6410 |
2015,
|
| 6411 |
2014,
|
| 6412 |
+
2013,
|
| 6413 |
+
2012
|
| 6414 |
]
|
| 6415 |
},
|
| 6416 |
"general.random-forest": {
|
|
|
|
| 6429 |
2016,
|
| 6430 |
2015,
|
| 6431 |
2014,
|
| 6432 |
+
2013,
|
| 6433 |
+
2012
|
| 6434 |
]
|
| 6435 |
},
|
| 6436 |
"general.research-code": {
|
|
|
|
| 6449 |
2016,
|
| 6450 |
2015,
|
| 6451 |
2014,
|
| 6452 |
+
2013,
|
| 6453 |
+
2012
|
| 6454 |
]
|
| 6455 |
},
|
| 6456 |
"general.self-supervised-learning": {
|
|
|
|
| 6469 |
2016,
|
| 6470 |
2015,
|
| 6471 |
2014,
|
| 6472 |
+
2013,
|
| 6473 |
+
2012
|
| 6474 |
]
|
| 6475 |
},
|
| 6476 |
"general.semi-supervised-learning": {
|
|
|
|
| 6489 |
2016,
|
| 6490 |
2015,
|
| 6491 |
2014,
|
| 6492 |
+
2013,
|
| 6493 |
+
2012
|
| 6494 |
]
|
| 6495 |
},
|
| 6496 |
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|
|
|
|
| 6509 |
2016,
|
| 6510 |
2015,
|
| 6511 |
2014,
|
| 6512 |
+
2013,
|
| 6513 |
+
2012
|
| 6514 |
]
|
| 6515 |
},
|
| 6516 |
"general.topic-artificial-intelligence": {
|
|
|
|
| 6529 |
2016,
|
| 6530 |
2015,
|
| 6531 |
2014,
|
| 6532 |
+
2013,
|
| 6533 |
+
2012
|
| 6534 |
]
|
| 6535 |
},
|
| 6536 |
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|
|
|
|
| 6549 |
2016,
|
| 6550 |
2015,
|
| 6551 |
2014,
|
| 6552 |
+
2013,
|
| 6553 |
+
2012
|
| 6554 |
]
|
| 6555 |
},
|
| 6556 |
"general.topic-machine-learning": {
|
|
|
|
| 6569 |
2016,
|
| 6570 |
2015,
|
| 6571 |
2014,
|
| 6572 |
+
2013,
|
| 6573 |
+
2012
|
| 6574 |
]
|
| 6575 |
},
|
| 6576 |
"general.transfer-learning": {
|
|
|
|
| 6589 |
2016,
|
| 6590 |
2015,
|
| 6591 |
2014,
|
| 6592 |
+
2013,
|
| 6593 |
+
2012
|
| 6594 |
]
|
| 6595 |
},
|
| 6596 |
"general.weak-supervision": {
|
|
|
|
| 6609 |
2016,
|
| 6610 |
2015,
|
| 6611 |
2014,
|
| 6612 |
+
2013,
|
| 6613 |
+
2012
|
| 6614 |
]
|
| 6615 |
},
|
| 6616 |
"geo.building-footprints": {
|
|
|
|
| 6969 |
2016,
|
| 6970 |
2015,
|
| 6971 |
2014,
|
| 6972 |
+
2013,
|
| 6973 |
+
2012
|
| 6974 |
]
|
| 6975 |
},
|
| 6976 |
"geo.sar-imagery": {
|
|
|
|
| 6989 |
2016,
|
| 6990 |
2015,
|
| 6991 |
2014,
|
| 6992 |
+
2013,
|
| 6993 |
+
2012
|
| 6994 |
]
|
| 6995 |
},
|
| 6996 |
"geo.satellite-imagery": {
|
|
|
|
| 7009 |
2016,
|
| 7010 |
2015,
|
| 7011 |
2014,
|
| 7012 |
+
2013,
|
| 7013 |
+
2012
|
| 7014 |
]
|
| 7015 |
},
|
| 7016 |
"geo.topic-earth-observation": {
|
|
|
|
| 7029 |
2016,
|
| 7030 |
2015,
|
| 7031 |
2014,
|
| 7032 |
+
2013,
|
| 7033 |
+
2012
|
| 7034 |
]
|
| 7035 |
},
|
| 7036 |
"geo.topic-geospatial": {
|
|
|
|
| 7049 |
2016,
|
| 7050 |
2015,
|
| 7051 |
2014,
|
| 7052 |
+
2013,
|
| 7053 |
+
2012
|
| 7054 |
]
|
| 7055 |
},
|
| 7056 |
"geo.topic-gis": {
|
|
|
|
| 7069 |
2016,
|
| 7070 |
2015,
|
| 7071 |
2014,
|
| 7072 |
+
2013,
|
| 7073 |
+
2012
|
| 7074 |
]
|
| 7075 |
},
|
| 7076 |
"geo.topic-remote-sensing": {
|
|
|
|
| 7089 |
2016,
|
| 7090 |
2015,
|
| 7091 |
2014,
|
| 7092 |
+
2013,
|
| 7093 |
+
2012
|
| 7094 |
]
|
| 7095 |
},
|
| 7096 |
"geo.trajectory-prediction": {
|
|
|
|
| 7109 |
2016,
|
| 7110 |
2015,
|
| 7111 |
2014,
|
| 7112 |
+
2013,
|
| 7113 |
+
2012
|
| 7114 |
]
|
| 7115 |
},
|
| 7116 |
"geo.urban-sensing": {
|
|
|
|
| 7129 |
2016,
|
| 7130 |
2015,
|
| 7131 |
2014,
|
| 7132 |
+
2013,
|
| 7133 |
+
2012
|
| 7134 |
]
|
| 7135 |
},
|
| 7136 |
"geo.wildfire-mapping": {
|
|
|
|
| 7149 |
2016,
|
| 7150 |
2015,
|
| 7151 |
2014,
|
| 7152 |
+
2013,
|
| 7153 |
+
2012
|
| 7154 |
]
|
| 7155 |
},
|
| 7156 |
"graph.e3-equivariance": {
|
|
|
|
| 7509 |
2016,
|
| 7510 |
2015,
|
| 7511 |
2014,
|
| 7512 |
+
2013,
|
| 7513 |
+
2012
|
| 7514 |
]
|
| 7515 |
},
|
| 7516 |
"graph.neural-ode-graph": {
|
|
|
|
| 7529 |
2016,
|
| 7530 |
2015,
|
| 7531 |
2014,
|
| 7532 |
+
2013,
|
| 7533 |
+
2012
|
| 7534 |
]
|
| 7535 |
},
|
| 7536 |
"graph.persistent-homology": {
|
|
|
|
| 7549 |
2016,
|
| 7550 |
2015,
|
| 7551 |
2014,
|
| 7552 |
+
2013,
|
| 7553 |
+
2012
|
| 7554 |
]
|
| 7555 |
},
|
| 7556 |
"graph.point-cloud-learning": {
|
|
|
|
| 7569 |
2016,
|
| 7570 |
2015,
|
| 7571 |
2014,
|
| 7572 |
+
2013,
|
| 7573 |
+
2012
|
| 7574 |
]
|
| 7575 |
},
|
| 7576 |
"graph.point-clouds": {
|
|
|
|
| 7589 |
2016,
|
| 7590 |
2015,
|
| 7591 |
2014,
|
| 7592 |
+
2013,
|
| 7593 |
+
2012
|
| 7594 |
]
|
| 7595 |
},
|
| 7596 |
"graph.representation-learning": {
|
|
|
|
| 7609 |
2016,
|
| 7610 |
2015,
|
| 7611 |
2014,
|
| 7612 |
+
2013,
|
| 7613 |
+
2012
|
| 7614 |
]
|
| 7615 |
},
|
| 7616 |
"graph.signal-processing": {
|
|
|
|
| 7629 |
2016,
|
| 7630 |
2015,
|
| 7631 |
2014,
|
| 7632 |
+
2013,
|
| 7633 |
+
2012
|
| 7634 |
]
|
| 7635 |
},
|
| 7636 |
"graph.temporal-learning": {
|
|
|
|
| 7649 |
2016,
|
| 7650 |
2015,
|
| 7651 |
2014,
|
| 7652 |
+
2013,
|
| 7653 |
+
2012
|
| 7654 |
]
|
| 7655 |
},
|
| 7656 |
"graph.topic-gnn": {
|
|
|
|
| 7669 |
2016,
|
| 7670 |
2015,
|
| 7671 |
2014,
|
| 7672 |
+
2013,
|
| 7673 |
+
2012
|
| 7674 |
]
|
| 7675 |
},
|
| 7676 |
"graph.topological-ml": {
|
|
|
|
| 7689 |
2016,
|
| 7690 |
2015,
|
| 7691 |
2014,
|
| 7692 |
+
2013,
|
| 7693 |
+
2012
|
| 7694 |
]
|
| 7695 |
},
|
| 7696 |
"llm-code-generation": {
|
|
|
|
| 8129 |
2016,
|
| 8130 |
2015,
|
| 8131 |
2014,
|
| 8132 |
+
2013,
|
| 8133 |
+
2012
|
| 8134 |
]
|
| 8135 |
},
|
| 8136 |
"llm.speculative-decoding": {
|
|
|
|
| 8149 |
2016,
|
| 8150 |
2015,
|
| 8151 |
2014,
|
| 8152 |
+
2013,
|
| 8153 |
+
2012
|
| 8154 |
]
|
| 8155 |
},
|
| 8156 |
"llm.synthetic-data": {
|
|
|
|
| 8169 |
2016,
|
| 8170 |
2015,
|
| 8171 |
2014,
|
| 8172 |
+
2013,
|
| 8173 |
+
2012
|
| 8174 |
]
|
| 8175 |
},
|
| 8176 |
"llm.synthetic-data-generation": {
|
|
|
|
| 8189 |
2016,
|
| 8190 |
2015,
|
| 8191 |
2014,
|
| 8192 |
+
2013,
|
| 8193 |
+
2012
|
| 8194 |
]
|
| 8195 |
},
|
| 8196 |
"llm.test-time-compute": {
|
|
|
|
| 8209 |
2016,
|
| 8210 |
2015,
|
| 8211 |
2014,
|
| 8212 |
+
2013,
|
| 8213 |
+
2012
|
| 8214 |
]
|
| 8215 |
},
|
| 8216 |
"llm.transformers": {
|
|
|
|
| 8229 |
2016,
|
| 8230 |
2015,
|
| 8231 |
2014,
|
| 8232 |
+
2013,
|
| 8233 |
+
2012
|
| 8234 |
]
|
| 8235 |
},
|
| 8236 |
"materials-battery": {
|
|
|
|
| 8729 |
2016,
|
| 8730 |
2015,
|
| 8731 |
2014,
|
| 8732 |
+
2013,
|
| 8733 |
+
2012
|
| 8734 |
]
|
| 8735 |
},
|
| 8736 |
"medical.neural-decoding": {
|
|
|
|
| 8749 |
2016,
|
| 8750 |
2015,
|
| 8751 |
2014,
|
| 8752 |
+
2013,
|
| 8753 |
+
2012
|
| 8754 |
]
|
| 8755 |
},
|
| 8756 |
"medical.neuroimaging": {
|
|
|
|
| 8769 |
2016,
|
| 8770 |
2015,
|
| 8771 |
2014,
|
| 8772 |
+
2013,
|
| 8773 |
+
2012
|
| 8774 |
]
|
| 8775 |
},
|
| 8776 |
"medical.ophthalmology": {
|
|
|
|
| 8789 |
2016,
|
| 8790 |
2015,
|
| 8791 |
2014,
|
| 8792 |
+
2013,
|
| 8793 |
+
2012
|
| 8794 |
]
|
| 8795 |
},
|
| 8796 |
"medical.pathology": {
|
|
|
|
| 8809 |
2016,
|
| 8810 |
2015,
|
| 8811 |
2014,
|
| 8812 |
+
2013,
|
| 8813 |
+
2012
|
| 8814 |
]
|
| 8815 |
},
|
| 8816 |
"medical.pathology-foundation-model": {
|
|
|
|
| 8829 |
2016,
|
| 8830 |
2015,
|
| 8831 |
2014,
|
| 8832 |
+
2013,
|
| 8833 |
+
2012
|
| 8834 |
]
|
| 8835 |
},
|
| 8836 |
"medical.patient-risk": {
|
|
|
|
| 8849 |
2016,
|
| 8850 |
2015,
|
| 8851 |
2014,
|
| 8852 |
+
2013,
|
| 8853 |
+
2012
|
| 8854 |
]
|
| 8855 |
},
|
| 8856 |
"medical.radiology": {
|
|
|
|
| 8869 |
2016,
|
| 8870 |
2015,
|
| 8871 |
2014,
|
| 8872 |
+
2013,
|
| 8873 |
+
2012
|
| 8874 |
]
|
| 8875 |
},
|
| 8876 |
"medical.survival-analysis": {
|
|
|
|
| 8889 |
2016,
|
| 8890 |
2015,
|
| 8891 |
2014,
|
| 8892 |
+
2013,
|
| 8893 |
+
2012
|
| 8894 |
]
|
| 8895 |
},
|
| 8896 |
"medical.wearable-health": {
|
|
|
|
| 8909 |
2016,
|
| 8910 |
2015,
|
| 8911 |
2014,
|
| 8912 |
+
2013,
|
| 8913 |
+
2012
|
| 8914 |
]
|
| 8915 |
},
|
| 8916 |
"multimodal.3d-generation": {
|
|
|
|
| 9269 |
2016,
|
| 9270 |
2015,
|
| 9271 |
2014,
|
| 9272 |
+
2013,
|
| 9273 |
+
2012
|
| 9274 |
]
|
| 9275 |
},
|
| 9276 |
"multimodal.video-language-model": {
|
|
|
|
| 9289 |
2016,
|
| 9290 |
2015,
|
| 9291 |
2014,
|
| 9292 |
+
2013,
|
| 9293 |
+
2012
|
| 9294 |
]
|
| 9295 |
},
|
| 9296 |
"multimodal.video-question-answering": {
|
|
|
|
| 9309 |
2016,
|
| 9310 |
2015,
|
| 9311 |
2014,
|
| 9312 |
+
2013,
|
| 9313 |
+
2012
|
| 9314 |
]
|
| 9315 |
},
|
| 9316 |
"multimodal.video-understanding": {
|
|
|
|
| 9329 |
2016,
|
| 9330 |
2015,
|
| 9331 |
2014,
|
| 9332 |
+
2013,
|
| 9333 |
+
2012
|
| 9334 |
]
|
| 9335 |
},
|
| 9336 |
"multimodal.vision-language": {
|
|
|
|
| 9349 |
2016,
|
| 9350 |
2015,
|
| 9351 |
2014,
|
| 9352 |
+
2013,
|
| 9353 |
+
2012
|
| 9354 |
]
|
| 9355 |
},
|
| 9356 |
"multimodal.visual-question-answering": {
|
|
|
|
| 9369 |
2016,
|
| 9370 |
2015,
|
| 9371 |
2014,
|
| 9372 |
+
2013,
|
| 9373 |
+
2012
|
| 9374 |
]
|
| 9375 |
},
|
| 9376 |
"multimodal.vlm": {
|
|
|
|
| 9389 |
2016,
|
| 9390 |
2015,
|
| 9391 |
2014,
|
| 9392 |
+
2013,
|
| 9393 |
+
2012
|
| 9394 |
]
|
| 9395 |
},
|
| 9396 |
"multimodal.world-models": {
|
|
|
|
| 9409 |
2016,
|
| 9410 |
2015,
|
| 9411 |
2014,
|
| 9412 |
+
2013,
|
| 9413 |
+
2012
|
| 9414 |
]
|
| 9415 |
},
|
| 9416 |
"nlp-bm25-retrieval": {
|
|
|
|
| 9909 |
2016,
|
| 9910 |
2015,
|
| 9911 |
2014,
|
| 9912 |
+
2013,
|
| 9913 |
+
2012
|
| 9914 |
]
|
| 9915 |
},
|
| 9916 |
"nlp.topic-modeling": {
|
|
|
|
| 9929 |
2016,
|
| 9930 |
2015,
|
| 9931 |
2014,
|
| 9932 |
+
2013,
|
| 9933 |
+
2012
|
| 9934 |
]
|
| 9935 |
},
|
| 9936 |
"probable.adaptation-domain-generalization-readme": {
|
|
|
|
| 10609 |
2016,
|
| 10610 |
2015,
|
| 10611 |
2014,
|
| 10612 |
+
2013,
|
| 10613 |
+
2012
|
| 10614 |
]
|
| 10615 |
},
|
| 10616 |
"recall.name.foundation-model": {
|
|
|
|
| 10629 |
2016,
|
| 10630 |
2015,
|
| 10631 |
2014,
|
| 10632 |
+
2013,
|
| 10633 |
+
2012
|
| 10634 |
]
|
| 10635 |
},
|
| 10636 |
"recall.name.language-model": {
|
|
|
|
| 10649 |
2016,
|
| 10650 |
2015,
|
| 10651 |
2014,
|
| 10652 |
+
2013,
|
| 10653 |
+
2012
|
| 10654 |
]
|
| 10655 |
},
|
| 10656 |
"recall.name.large-language-model": {
|
|
|
|
| 10669 |
2016,
|
| 10670 |
2015,
|
| 10671 |
2014,
|
| 10672 |
+
2013,
|
| 10673 |
+
2012
|
| 10674 |
]
|
| 10675 |
},
|
| 10676 |
"recall.name.machine-learning": {
|
|
|
|
| 10689 |
2016,
|
| 10690 |
2015,
|
| 10691 |
2014,
|
| 10692 |
+
2013,
|
| 10693 |
+
2012
|
| 10694 |
]
|
| 10695 |
},
|
| 10696 |
"recall.name.multimodal-model": {
|
|
|
|
| 10709 |
2016,
|
| 10710 |
2015,
|
| 10711 |
2014,
|
| 10712 |
+
2013,
|
| 10713 |
+
2012
|
| 10714 |
]
|
| 10715 |
},
|
| 10716 |
"recall.name.neural-network": {
|
|
|
|
| 10729 |
2016,
|
| 10730 |
2015,
|
| 10731 |
2014,
|
| 10732 |
+
2013,
|
| 10733 |
+
2012
|
| 10734 |
]
|
| 10735 |
},
|
| 10736 |
"recall.name.transformer-model": {
|
|
|
|
| 10749 |
2016,
|
| 10750 |
2015,
|
| 10751 |
2014,
|
| 10752 |
+
2013,
|
| 10753 |
+
2012
|
| 10754 |
]
|
| 10755 |
},
|
| 10756 |
"recall.player-tracking": {
|
|
|
|
| 10769 |
2016,
|
| 10770 |
2015,
|
| 10771 |
2014,
|
| 10772 |
+
2013,
|
| 10773 |
+
2012
|
| 10774 |
]
|
| 10775 |
},
|
| 10776 |
"recall.population-health-prediction": {
|
|
|
|
| 10789 |
2016,
|
| 10790 |
2015,
|
| 10791 |
2014,
|
| 10792 |
+
2013,
|
| 10793 |
+
2012
|
| 10794 |
]
|
| 10795 |
},
|
| 10796 |
"recall.power-system-forecasting": {
|
|
|
|
| 10809 |
2016,
|
| 10810 |
2015,
|
| 10811 |
2014,
|
| 10812 |
+
2013,
|
| 10813 |
+
2012
|
| 10814 |
]
|
| 10815 |
},
|
| 10816 |
"recall.social-media-analysis": {
|
|
|
|
| 10829 |
2016,
|
| 10830 |
2015,
|
| 10831 |
2014,
|
| 10832 |
+
2013,
|
| 10833 |
+
2012
|
| 10834 |
]
|
| 10835 |
},
|
| 10836 |
"recall.sports-analytics": {
|
|
|
|
| 10849 |
2016,
|
| 10850 |
2015,
|
| 10851 |
2014,
|
| 10852 |
+
2013,
|
| 10853 |
+
2012
|
| 10854 |
]
|
| 10855 |
},
|
| 10856 |
"recall.structural-health-monitoring": {
|
|
|
|
| 10869 |
2016,
|
| 10870 |
2015,
|
| 10871 |
2014,
|
| 10872 |
+
2013,
|
| 10873 |
+
2012
|
| 10874 |
]
|
| 10875 |
},
|
| 10876 |
"recall.student-performance-prediction": {
|
|
|
|
| 10889 |
2016,
|
| 10890 |
2015,
|
| 10891 |
2014,
|
| 10892 |
+
2013,
|
| 10893 |
+
2012
|
| 10894 |
]
|
| 10895 |
},
|
| 10896 |
"recall26.audio-language-model": {
|
|
|
|
| 11409 |
2016,
|
| 11410 |
2015,
|
| 11411 |
2014,
|
| 11412 |
+
2013,
|
| 11413 |
+
2012
|
| 11414 |
]
|
| 11415 |
},
|
| 11416 |
"rl.preference": {
|
|
|
|
| 11429 |
2016,
|
| 11430 |
2015,
|
| 11431 |
2014,
|
| 11432 |
+
2013,
|
| 11433 |
+
2012
|
| 11434 |
]
|
| 11435 |
},
|
| 11436 |
"rl.reinforcement-learning-from-human-feedback": {
|
|
|
|
| 11449 |
2016,
|
| 11450 |
2015,
|
| 11451 |
2014,
|
| 11452 |
+
2013,
|
| 11453 |
+
2012
|
| 11454 |
]
|
| 11455 |
},
|
| 11456 |
"rl.safe": {
|
|
|
|
| 11469 |
2016,
|
| 11470 |
2015,
|
| 11471 |
2014,
|
| 11472 |
+
2013,
|
| 11473 |
+
2012
|
| 11474 |
]
|
| 11475 |
},
|
| 11476 |
"rl.soft-actor-critic": {
|
|
|
|
| 11489 |
2016,
|
| 11490 |
2015,
|
| 11491 |
2014,
|
| 11492 |
+
2013,
|
| 11493 |
+
2012
|
| 11494 |
]
|
| 11495 |
},
|
| 11496 |
"robotics.autonomous-driving": {
|
|
|
|
| 11849 |
2016,
|
| 11850 |
2015,
|
| 11851 |
2014,
|
| 11852 |
+
2013,
|
| 11853 |
+
2012
|
| 11854 |
]
|
| 11855 |
},
|
| 11856 |
"robotics.slam": {
|
|
|
|
| 11869 |
2016,
|
| 11870 |
2015,
|
| 11871 |
2014,
|
| 11872 |
+
2013,
|
| 11873 |
+
2012
|
| 11874 |
]
|
| 11875 |
},
|
| 11876 |
"robotics.tactile-learning": {
|
|
|
|
| 11889 |
2016,
|
| 11890 |
2015,
|
| 11891 |
2014,
|
| 11892 |
+
2013,
|
| 11893 |
+
2012
|
| 11894 |
]
|
| 11895 |
},
|
| 11896 |
"robotics.teleoperation": {
|
|
|
|
| 11909 |
2016,
|
| 11910 |
2015,
|
| 11911 |
2014,
|
| 11912 |
+
2013,
|
| 11913 |
+
2012
|
| 11914 |
]
|
| 11915 |
},
|
| 11916 |
"robotics.visual-language-action": {
|
|
|
|
| 11929 |
2016,
|
| 11930 |
2015,
|
| 11931 |
2014,
|
| 11932 |
+
2013,
|
| 11933 |
+
2012
|
| 11934 |
]
|
| 11935 |
},
|
| 11936 |
"robotics.visuomotor-policy": {
|
|
|
|
| 11949 |
2016,
|
| 11950 |
2015,
|
| 11951 |
2014,
|
| 11952 |
+
2013,
|
| 11953 |
+
2012
|
| 11954 |
]
|
| 11955 |
},
|
| 11956 |
"science.astronomy": {
|
|
|
|
| 12309 |
2016,
|
| 12310 |
2015,
|
| 12311 |
2014,
|
| 12312 |
+
2013,
|
| 12313 |
+
2012
|
| 12314 |
]
|
| 12315 |
},
|
| 12316 |
"science.quantum-materials": {
|
|
|
|
| 12329 |
2016,
|
| 12330 |
2015,
|
| 12331 |
2014,
|
| 12332 |
+
2013,
|
| 12333 |
+
2012
|
| 12334 |
]
|
| 12335 |
},
|
| 12336 |
"science.quantum-physics": {
|
|
|
|
| 12349 |
2016,
|
| 12350 |
2015,
|
| 12351 |
2014,
|
| 12352 |
+
2013,
|
| 12353 |
+
2012
|
| 12354 |
]
|
| 12355 |
},
|
| 12356 |
"science.remote-sensing": {
|
|
|
|
| 12369 |
2016,
|
| 12370 |
2015,
|
| 12371 |
2014,
|
| 12372 |
+
2013,
|
| 12373 |
+
2012
|
| 12374 |
]
|
| 12375 |
},
|
| 12376 |
"science.scientific-machine-learning": {
|
|
|
|
| 12389 |
2016,
|
| 12390 |
2015,
|
| 12391 |
2014,
|
| 12392 |
+
2013,
|
| 12393 |
+
2012
|
| 12394 |
]
|
| 12395 |
},
|
| 12396 |
"science.seismic": {
|
|
|
|
| 12409 |
2016,
|
| 12410 |
2015,
|
| 12411 |
2014,
|
| 12412 |
+
2013,
|
| 12413 |
+
2012
|
| 12414 |
]
|
| 12415 |
},
|
| 12416 |
"science.turbulence": {
|
|
|
|
| 12429 |
2016,
|
| 12430 |
2015,
|
| 12431 |
2014,
|
| 12432 |
+
2013,
|
| 12433 |
+
2012
|
| 12434 |
]
|
| 12435 |
},
|
| 12436 |
"science.weather-forecasting": {
|
|
|
|
| 12449 |
2016,
|
| 12450 |
2015,
|
| 12451 |
2014,
|
| 12452 |
+
2013,
|
| 12453 |
+
2012
|
| 12454 |
]
|
| 12455 |
},
|
| 12456 |
"science.weather-nowcasting": {
|
|
|
|
| 12469 |
2016,
|
| 12470 |
2015,
|
| 12471 |
2014,
|
| 12472 |
+
2013,
|
| 12473 |
+
2012
|
| 12474 |
]
|
| 12475 |
},
|
| 12476 |
"specialized.carbon-footprint-training": {
|
|
|
|
| 13109 |
2016,
|
| 13110 |
2015,
|
| 13111 |
2014,
|
| 13112 |
+
2013,
|
| 13113 |
+
2012
|
| 13114 |
]
|
| 13115 |
},
|
| 13116 |
"timeseries.streaming": {
|
|
|
|
| 13129 |
2016,
|
| 13130 |
2015,
|
| 13131 |
2014,
|
| 13132 |
+
2013,
|
| 13133 |
+
2012
|
| 13134 |
]
|
| 13135 |
},
|
| 13136 |
"timeseries.synthetic-generation": {
|
|
|
|
| 13149 |
2016,
|
| 13150 |
2015,
|
| 13151 |
2014,
|
| 13152 |
+
2013,
|
| 13153 |
+
2012
|
| 13154 |
]
|
| 13155 |
},
|
| 13156 |
"timeseries.tabular-foundation-models": {
|
|
|
|
| 13169 |
2016,
|
| 13170 |
2015,
|
| 13171 |
2014,
|
| 13172 |
+
2013,
|
| 13173 |
+
2012
|
| 13174 |
]
|
| 13175 |
},
|
| 13176 |
"timeseries.temporal-fusion-transformer": {
|
|
|
|
| 13189 |
2016,
|
| 13190 |
2015,
|
| 13191 |
2014,
|
| 13192 |
+
2013,
|
| 13193 |
+
2012
|
| 13194 |
]
|
| 13195 |
},
|
| 13196 |
"timeseries.temporal-representation": {
|
|
|
|
| 13209 |
2016,
|
| 13210 |
2015,
|
| 13211 |
2014,
|
| 13212 |
+
2013,
|
| 13213 |
+
2012
|
| 13214 |
]
|
| 13215 |
},
|
| 13216 |
"timeseries.topic": {
|
|
|
|
| 13229 |
2016,
|
| 13230 |
2015,
|
| 13231 |
2014,
|
| 13232 |
+
2013,
|
| 13233 |
+
2012
|
| 13234 |
]
|
| 13235 |
},
|
| 13236 |
"timeseries.traffic-forecasting": {
|
|
|
|
| 13249 |
2016,
|
| 13250 |
2015,
|
| 13251 |
2014,
|
| 13252 |
+
2013,
|
| 13253 |
+
2012
|
| 13254 |
]
|
| 13255 |
},
|
| 13256 |
"timeseries.unevenly-spaced": {
|
|
|
|
| 13269 |
2016,
|
| 13270 |
2015,
|
| 13271 |
2014,
|
| 13272 |
+
2013,
|
| 13273 |
+
2012
|
| 13274 |
]
|
| 13275 |
},
|
| 13276 |
"timeseries.weather-forecasting": {
|
|
|
|
| 13289 |
2016,
|
| 13290 |
2015,
|
| 13291 |
2014,
|
| 13292 |
+
2013,
|
| 13293 |
+
2012
|
| 13294 |
]
|
| 13295 |
},
|
| 13296 |
"trust.adversarial-robustness": {
|
|
|
|
| 13629 |
2016,
|
| 13630 |
2015,
|
| 13631 |
2014,
|
| 13632 |
+
2013,
|
| 13633 |
+
2012
|
| 13634 |
]
|
| 13635 |
},
|
| 13636 |
"trust.instrumental-variable-ml": {
|
|
|
|
| 13649 |
2016,
|
| 13650 |
2015,
|
| 13651 |
2014,
|
| 13652 |
+
2013,
|
| 13653 |
+
2012
|
| 13654 |
]
|
| 13655 |
},
|
| 13656 |
"trust.interpretable-ml": {
|
|
|
|
| 13669 |
2016,
|
| 13670 |
2015,
|
| 13671 |
2014,
|
| 13672 |
+
2013,
|
| 13673 |
+
2012
|
| 13674 |
]
|
| 13675 |
},
|
| 13676 |
"trust.membership-inference": {
|
|
|
|
| 13689 |
2016,
|
| 13690 |
2015,
|
| 13691 |
2014,
|
| 13692 |
+
2013,
|
| 13693 |
+
2012
|
| 13694 |
]
|
| 13695 |
},
|
| 13696 |
"trust.ml-fairness": {
|
|
|
|
| 13709 |
2016,
|
| 13710 |
2015,
|
| 13711 |
2014,
|
| 13712 |
+
2013,
|
| 13713 |
+
2012
|
| 13714 |
]
|
| 13715 |
},
|
| 13716 |
"trust.model-calibration": {
|
|
|
|
| 13729 |
2016,
|
| 13730 |
2015,
|
| 13731 |
2014,
|
| 13732 |
+
2013,
|
| 13733 |
+
2012
|
| 13734 |
]
|
| 13735 |
},
|
| 13736 |
"trust.neuro-symbolic": {
|
|
|
|
| 13749 |
2016,
|
| 13750 |
2015,
|
| 13751 |
2014,
|
| 13752 |
+
2013,
|
| 13753 |
+
2012
|
| 13754 |
]
|
| 13755 |
},
|
| 13756 |
"trust.out-of-distribution-detection": {
|
|
|
|
| 13769 |
2016,
|
| 13770 |
2015,
|
| 13771 |
2014,
|
| 13772 |
+
2013,
|
| 13773 |
+
2012
|
| 13774 |
]
|
| 13775 |
},
|
| 13776 |
"trust.privacy-preserving-ml": {
|
|
|
|
| 13789 |
2016,
|
| 13790 |
2015,
|
| 13791 |
2014,
|
| 13792 |
+
2013,
|
| 13793 |
+
2012
|
| 13794 |
]
|
| 13795 |
},
|
| 13796 |
"trust.robustness-certification": {
|
|
|
|
| 13809 |
2016,
|
| 13810 |
2015,
|
| 13811 |
2014,
|
| 13812 |
+
2013,
|
| 13813 |
+
2012
|
| 13814 |
]
|
| 13815 |
},
|
| 13816 |
"trust.safe-reinforcement-learning": {
|
|
|
|
| 13829 |
2016,
|
| 13830 |
2015,
|
| 13831 |
2014,
|
| 13832 |
+
2013,
|
| 13833 |
+
2012
|
| 13834 |
]
|
| 13835 |
},
|
| 13836 |
"trust.shap": {
|
|
|
|
| 13849 |
2016,
|
| 13850 |
2015,
|
| 13851 |
2014,
|
| 13852 |
+
2013,
|
| 13853 |
+
2012
|
| 13854 |
]
|
| 13855 |
},
|
| 13856 |
"trust.uncertainty-quantification": {
|
|
|
|
| 13869 |
2016,
|
| 13870 |
2015,
|
| 13871 |
2014,
|
| 13872 |
+
2013,
|
| 13873 |
+
2012
|
| 13874 |
]
|
| 13875 |
},
|
| 13876 |
"vision.action-recognition": {
|
|
|
|
| 14209 |
2016,
|
| 14210 |
2015,
|
| 14211 |
2014,
|
| 14212 |
+
2013,
|
| 14213 |
+
2012
|
| 14214 |
]
|
| 14215 |
},
|
| 14216 |
"vision.pose-estimation": {
|
|
|
|
| 14229 |
2016,
|
| 14230 |
2015,
|
| 14231 |
2014,
|
| 14232 |
+
2013,
|
| 14233 |
+
2012
|
| 14234 |
]
|
| 14235 |
},
|
| 14236 |
"vision.promptable-segmentation": {
|
|
|
|
| 14249 |
2016,
|
| 14250 |
2015,
|
| 14251 |
2014,
|
| 14252 |
+
2013,
|
| 14253 |
+
2012
|
| 14254 |
]
|
| 14255 |
},
|
| 14256 |
"vision.segmentation": {
|
|
|
|
| 14269 |
2016,
|
| 14270 |
2015,
|
| 14271 |
2014,
|
| 14272 |
+
2013,
|
| 14273 |
+
2012
|
| 14274 |
]
|
| 14275 |
},
|
| 14276 |
"vision.self-supervised-vision": {
|
|
|
|
| 14289 |
2016,
|
| 14290 |
2015,
|
| 14291 |
2014,
|
| 14292 |
+
2013,
|
| 14293 |
+
2012
|
| 14294 |
]
|
| 14295 |
},
|
| 14296 |
"vision.topic-computer-vision": {
|
|
|
|
| 14309 |
2016,
|
| 14310 |
2015,
|
| 14311 |
2014,
|
| 14312 |
+
2013,
|
| 14313 |
+
2012
|
| 14314 |
]
|
| 14315 |
},
|
| 14316 |
"vision.video-generation": {
|
|
|
|
| 14329 |
2016,
|
| 14330 |
2015,
|
| 14331 |
2014,
|
| 14332 |
+
2013,
|
| 14333 |
+
2012
|
| 14334 |
]
|
| 14335 |
},
|
| 14336 |
"vision.video-understanding": {
|
|
|
|
| 14349 |
2016,
|
| 14350 |
2015,
|
| 14351 |
2014,
|
| 14352 |
+
2013,
|
| 14353 |
+
2012
|
| 14354 |
]
|
| 14355 |
},
|
| 14356 |
"vision.vision-language": {
|
|
|
|
| 14369 |
2016,
|
| 14370 |
2015,
|
| 14371 |
2014,
|
| 14372 |
+
2013,
|
| 14373 |
+
2012
|
| 14374 |
]
|
| 14375 |
},
|
| 14376 |
"vision.visual-anomaly-detection": {
|
|
|
|
| 14389 |
2016,
|
| 14390 |
2015,
|
| 14391 |
2014,
|
| 14392 |
+
2013,
|
| 14393 |
+
2012
|
| 14394 |
]
|
| 14395 |
},
|
| 14396 |
"vision.visual-localization": {
|
|
|
|
| 14409 |
2016,
|
| 14410 |
2015,
|
| 14411 |
2014,
|
| 14412 |
+
2013,
|
| 14413 |
+
2012
|
| 14414 |
]
|
| 14415 |
}
|
| 14416 |
},
|
|
|
|
| 14423 |
"end": "2026-09-24",
|
| 14424 |
"search_policy_version": 2,
|
| 14425 |
"start_year": 2008,
|
| 14426 |
+
"updated_at": "2026-11-08T17:15:03Z"
|
| 14427 |
}
|