Add GitHub ML run 20261102T205355000000Z-45286d23
Browse files
coverage/20261102T205355000000Z-45286d23.json
ADDED
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@@ -0,0 +1,2812 @@
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"run_id": "20261102T205355000000Z-45286d23",
|
| 2810 |
+
"start_year": 2008,
|
| 2811 |
+
"started_at": "2026-11-02T20:53:55Z"
|
| 2812 |
+
}
|
data/observations/2026/11/02/20261102T205355000000Z-45286d23.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
|
state/historical-sample.json
CHANGED
|
@@ -2421,7 +2421,8 @@
|
|
| 2421 |
2017,
|
| 2422 |
2016,
|
| 2423 |
2015,
|
| 2424 |
-
2014
|
|
|
|
| 2425 |
]
|
| 2426 |
},
|
| 2427 |
"applied.agricultural-ml": {
|
|
@@ -2726,7 +2727,8 @@
|
|
| 2726 |
2018,
|
| 2727 |
2017,
|
| 2728 |
2016,
|
| 2729 |
-
2015
|
|
|
|
| 2730 |
]
|
| 2731 |
},
|
| 2732 |
"applied.intrusion-detection": {
|
|
@@ -2743,7 +2745,8 @@
|
|
| 2743 |
2018,
|
| 2744 |
2017,
|
| 2745 |
2016,
|
| 2746 |
-
2015
|
|
|
|
| 2747 |
]
|
| 2748 |
},
|
| 2749 |
"applied.inventory-optimization": {
|
|
@@ -2760,7 +2763,8 @@
|
|
| 2760 |
2018,
|
| 2761 |
2017,
|
| 2762 |
2016,
|
| 2763 |
-
2015
|
|
|
|
| 2764 |
]
|
| 2765 |
},
|
| 2766 |
"applied.learning-to-rank": {
|
|
@@ -2777,7 +2781,8 @@
|
|
| 2777 |
2018,
|
| 2778 |
2017,
|
| 2779 |
2016,
|
| 2780 |
-
2015
|
|
|
|
| 2781 |
]
|
| 2782 |
},
|
| 2783 |
"applied.malware-detection": {
|
|
@@ -2794,7 +2799,8 @@
|
|
| 2794 |
2018,
|
| 2795 |
2017,
|
| 2796 |
2016,
|
| 2797 |
-
2015
|
|
|
|
| 2798 |
]
|
| 2799 |
},
|
| 2800 |
"applied.ml-econometrics": {
|
|
@@ -2811,7 +2817,8 @@
|
|
| 2811 |
2018,
|
| 2812 |
2017,
|
| 2813 |
2016,
|
| 2814 |
-
2015
|
|
|
|
| 2815 |
]
|
| 2816 |
},
|
| 2817 |
"applied.plant-disease-detection": {
|
|
@@ -2828,7 +2835,8 @@
|
|
| 2828 |
2018,
|
| 2829 |
2017,
|
| 2830 |
2016,
|
| 2831 |
-
2015
|
|
|
|
| 2832 |
]
|
| 2833 |
},
|
| 2834 |
"applied.portfolio-optimization": {
|
|
@@ -2845,7 +2853,8 @@
|
|
| 2845 |
2018,
|
| 2846 |
2017,
|
| 2847 |
2016,
|
| 2848 |
-
2015
|
|
|
|
| 2849 |
]
|
| 2850 |
},
|
| 2851 |
"applied.predictive-maintenance": {
|
|
@@ -2862,7 +2871,8 @@
|
|
| 2862 |
2018,
|
| 2863 |
2017,
|
| 2864 |
2016,
|
| 2865 |
-
2015
|
|
|
|
| 2866 |
]
|
| 2867 |
},
|
| 2868 |
"applied.process-mining-prediction": {
|
|
@@ -2879,7 +2889,8 @@
|
|
| 2879 |
2018,
|
| 2880 |
2017,
|
| 2881 |
2016,
|
| 2882 |
-
2015
|
|
|
|
| 2883 |
]
|
| 2884 |
},
|
| 2885 |
"applied.quantitative-finance": {
|
|
@@ -2896,7 +2907,8 @@
|
|
| 2896 |
2018,
|
| 2897 |
2017,
|
| 2898 |
2016,
|
| 2899 |
-
2015
|
|
|
|
| 2900 |
]
|
| 2901 |
},
|
| 2902 |
"applied.recommender-systems": {
|
|
@@ -2913,7 +2925,8 @@
|
|
| 2913 |
2018,
|
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2017,
|
| 2915 |
2016,
|
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-
2015
|
|
|
|
| 2917 |
]
|
| 2918 |
},
|
| 2919 |
"applied.search-ranking": {
|
|
@@ -2930,7 +2943,8 @@
|
|
| 2930 |
2018,
|
| 2931 |
2017,
|
| 2932 |
2016,
|
| 2933 |
-
2015
|
|
|
|
| 2934 |
]
|
| 2935 |
},
|
| 2936 |
"applied.species-distribution-modeling": {
|
|
@@ -2947,7 +2961,8 @@
|
|
| 2947 |
2018,
|
| 2948 |
2017,
|
| 2949 |
2016,
|
| 2950 |
-
2015
|
|
|
|
| 2951 |
]
|
| 2952 |
},
|
| 2953 |
"applied.supply-chain-optimization": {
|
|
@@ -2964,7 +2979,8 @@
|
|
| 2964 |
2018,
|
| 2965 |
2017,
|
| 2966 |
2016,
|
| 2967 |
-
2015
|
|
|
|
| 2968 |
]
|
| 2969 |
},
|
| 2970 |
"applied.tabular-ml": {
|
|
@@ -2981,7 +2997,8 @@
|
|
| 2981 |
2018,
|
| 2982 |
2017,
|
| 2983 |
2016,
|
| 2984 |
-
2015
|
|
|
|
| 2985 |
]
|
| 2986 |
},
|
| 2987 |
"applied.time-series-forecasting": {
|
|
@@ -2998,7 +3015,8 @@
|
|
| 2998 |
2018,
|
| 2999 |
2017,
|
| 3000 |
2016,
|
| 3001 |
-
2015
|
|
|
|
| 3002 |
]
|
| 3003 |
},
|
| 3004 |
"applied.traffic-prediction": {
|
|
@@ -3015,7 +3033,8 @@
|
|
| 3015 |
2018,
|
| 3016 |
2017,
|
| 3017 |
2016,
|
| 3018 |
-
2015
|
|
|
|
| 3019 |
]
|
| 3020 |
},
|
| 3021 |
"applied.uplift-modeling": {
|
|
@@ -3032,7 +3051,8 @@
|
|
| 3032 |
2018,
|
| 3033 |
2017,
|
| 3034 |
2016,
|
| 3035 |
-
2015
|
|
|
|
| 3036 |
]
|
| 3037 |
},
|
| 3038 |
"audio-acoustic-event-classification": {
|
|
@@ -3050,7 +3070,8 @@
|
|
| 3050 |
2017,
|
| 3051 |
2016,
|
| 3052 |
2015,
|
| 3053 |
-
2014
|
|
|
|
| 3054 |
]
|
| 3055 |
},
|
| 3056 |
"audio-anomaly-detection": {
|
|
@@ -3068,7 +3089,8 @@
|
|
| 3068 |
2017,
|
| 3069 |
2016,
|
| 3070 |
2015,
|
| 3071 |
-
2014
|
|
|
|
| 3072 |
]
|
| 3073 |
},
|
| 3074 |
"audio-asr": {
|
|
@@ -3086,7 +3108,8 @@
|
|
| 3086 |
2017,
|
| 3087 |
2016,
|
| 3088 |
2015,
|
| 3089 |
-
2014
|
|
|
|
| 3090 |
]
|
| 3091 |
},
|
| 3092 |
"audio-audio-captioning": {
|
|
@@ -3104,7 +3127,8 @@
|
|
| 3104 |
2017,
|
| 3105 |
2016,
|
| 3106 |
2015,
|
| 3107 |
-
2014
|
|
|
|
| 3108 |
]
|
| 3109 |
},
|
| 3110 |
"audio-audio-classification": {
|
|
@@ -3122,7 +3146,8 @@
|
|
| 3122 |
2017,
|
| 3123 |
2016,
|
| 3124 |
2015,
|
| 3125 |
-
2014
|
|
|
|
| 3126 |
]
|
| 3127 |
},
|
| 3128 |
"audio-audio-question-answering": {
|
|
@@ -3140,7 +3165,8 @@
|
|
| 3140 |
2017,
|
| 3141 |
2016,
|
| 3142 |
2015,
|
| 3143 |
-
2014
|
|
|
|
| 3144 |
]
|
| 3145 |
},
|
| 3146 |
"audio-audio-super-resolution": {
|
|
@@ -3841,7 +3867,8 @@
|
|
| 3841 |
2018,
|
| 3842 |
2017,
|
| 3843 |
2016,
|
| 3844 |
-
2015
|
|
|
|
| 3845 |
]
|
| 3846 |
},
|
| 3847 |
"bio.regulatory-sequence-modeling": {
|
|
@@ -3858,7 +3885,8 @@
|
|
| 3858 |
2018,
|
| 3859 |
2017,
|
| 3860 |
2016,
|
| 3861 |
-
2015
|
|
|
|
| 3862 |
]
|
| 3863 |
},
|
| 3864 |
"bio.rna-language-models": {
|
|
@@ -3875,7 +3903,8 @@
|
|
| 3875 |
2018,
|
| 3876 |
2017,
|
| 3877 |
2016,
|
| 3878 |
-
2015
|
|
|
|
| 3879 |
]
|
| 3880 |
},
|
| 3881 |
"bio.rna-structure": {
|
|
@@ -3892,7 +3921,8 @@
|
|
| 3892 |
2018,
|
| 3893 |
2017,
|
| 3894 |
2016,
|
| 3895 |
-
2015
|
|
|
|
| 3896 |
]
|
| 3897 |
},
|
| 3898 |
"bio.scrna-seq": {
|
|
@@ -3909,7 +3939,8 @@
|
|
| 3909 |
2018,
|
| 3910 |
2017,
|
| 3911 |
2016,
|
| 3912 |
-
2015
|
|
|
|
| 3913 |
]
|
| 3914 |
},
|
| 3915 |
"bio.single-cell": {
|
|
@@ -3926,7 +3957,8 @@
|
|
| 3926 |
2018,
|
| 3927 |
2017,
|
| 3928 |
2016,
|
| 3929 |
-
2015
|
|
|
|
| 3930 |
]
|
| 3931 |
},
|
| 3932 |
"bio.spatial-transcriptomics": {
|
|
@@ -3943,7 +3975,8 @@
|
|
| 3943 |
2018,
|
| 3944 |
2017,
|
| 3945 |
2016,
|
| 3946 |
-
2015
|
|
|
|
| 3947 |
]
|
| 3948 |
},
|
| 3949 |
"bio.transcriptomics": {
|
|
@@ -3960,7 +3993,8 @@
|
|
| 3960 |
2018,
|
| 3961 |
2017,
|
| 3962 |
2016,
|
| 3963 |
-
2015
|
|
|
|
| 3964 |
]
|
| 3965 |
},
|
| 3966 |
"bio.variant-effects": {
|
|
@@ -3977,7 +4011,8 @@
|
|
| 3977 |
2018,
|
| 3978 |
2017,
|
| 3979 |
2016,
|
| 3980 |
-
2015
|
|
|
|
| 3981 |
]
|
| 3982 |
},
|
| 3983 |
"chem-admet": {
|
|
@@ -4660,7 +4695,8 @@
|
|
| 4660 |
2018,
|
| 4661 |
2017,
|
| 4662 |
2016,
|
| 4663 |
-
2015
|
|
|
|
| 4664 |
]
|
| 4665 |
},
|
| 4666 |
"efficiency.model-compression": {
|
|
@@ -4677,7 +4713,8 @@
|
|
| 4677 |
2018,
|
| 4678 |
2017,
|
| 4679 |
2016,
|
| 4680 |
-
2015
|
|
|
|
| 4681 |
]
|
| 4682 |
},
|
| 4683 |
"efficiency.neural-architecture-search": {
|
|
@@ -4694,7 +4731,8 @@
|
|
| 4694 |
2018,
|
| 4695 |
2017,
|
| 4696 |
2016,
|
| 4697 |
-
2015
|
|
|
|
| 4698 |
]
|
| 4699 |
},
|
| 4700 |
"efficiency.optimizer-state-sharding": {
|
|
@@ -4711,7 +4749,8 @@
|
|
| 4711 |
2018,
|
| 4712 |
2017,
|
| 4713 |
2016,
|
| 4714 |
-
2015
|
|
|
|
| 4715 |
]
|
| 4716 |
},
|
| 4717 |
"efficiency.parameter-efficient-finetuning": {
|
|
@@ -4728,7 +4767,8 @@
|
|
| 4728 |
2018,
|
| 4729 |
2017,
|
| 4730 |
2016,
|
| 4731 |
-
2015
|
|
|
|
| 4732 |
]
|
| 4733 |
},
|
| 4734 |
"efficiency.post-training-quantization": {
|
|
@@ -4745,7 +4785,8 @@
|
|
| 4745 |
2018,
|
| 4746 |
2017,
|
| 4747 |
2016,
|
| 4748 |
-
2015
|
|
|
|
| 4749 |
]
|
| 4750 |
},
|
| 4751 |
"efficiency.pruning": {
|
|
@@ -4762,7 +4803,8 @@
|
|
| 4762 |
2018,
|
| 4763 |
2017,
|
| 4764 |
2016,
|
| 4765 |
-
2015
|
|
|
|
| 4766 |
]
|
| 4767 |
},
|
| 4768 |
"efficiency.quantization": {
|
|
@@ -4779,7 +4821,8 @@
|
|
| 4779 |
2018,
|
| 4780 |
2017,
|
| 4781 |
2016,
|
| 4782 |
-
2015
|
|
|
|
| 4783 |
]
|
| 4784 |
},
|
| 4785 |
"efficiency.quantization-aware-training": {
|
|
@@ -4796,7 +4839,8 @@
|
|
| 4796 |
2018,
|
| 4797 |
2017,
|
| 4798 |
2016,
|
| 4799 |
-
2015
|
|
|
|
| 4800 |
]
|
| 4801 |
},
|
| 4802 |
"efficiency.sparse-neural-networks": {
|
|
@@ -4813,7 +4857,8 @@
|
|
| 4813 |
2018,
|
| 4814 |
2017,
|
| 4815 |
2016,
|
| 4816 |
-
2015
|
|
|
|
| 4817 |
]
|
| 4818 |
},
|
| 4819 |
"efficiency.speculative-decoding": {
|
|
@@ -4830,7 +4875,8 @@
|
|
| 4830 |
2018,
|
| 4831 |
2017,
|
| 4832 |
2016,
|
| 4833 |
-
2015
|
|
|
|
| 4834 |
]
|
| 4835 |
},
|
| 4836 |
"gap2026.archaeology-ml": {
|
|
@@ -5153,7 +5199,8 @@
|
|
| 5153 |
2018,
|
| 5154 |
2017,
|
| 5155 |
2016,
|
| 5156 |
-
2015
|
|
|
|
| 5157 |
]
|
| 5158 |
},
|
| 5159 |
"gap2026.green-ai-energy": {
|
|
@@ -5170,7 +5217,8 @@
|
|
| 5170 |
2018,
|
| 5171 |
2017,
|
| 5172 |
2016,
|
| 5173 |
-
2015
|
|
|
|
| 5174 |
]
|
| 5175 |
},
|
| 5176 |
"gap2026.math-learned-optimization": {
|
|
@@ -5187,7 +5235,8 @@
|
|
| 5187 |
2018,
|
| 5188 |
2017,
|
| 5189 |
2016,
|
| 5190 |
-
2015
|
|
|
|
| 5191 |
]
|
| 5192 |
},
|
| 5193 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
@@ -5204,7 +5253,8 @@
|
|
| 5204 |
2018,
|
| 5205 |
2017,
|
| 5206 |
2016,
|
| 5207 |
-
2015
|
|
|
|
| 5208 |
]
|
| 5209 |
},
|
| 5210 |
"gap2026.neuroimaging-connectome": {
|
|
@@ -5221,7 +5271,8 @@
|
|
| 5221 |
2018,
|
| 5222 |
2017,
|
| 5223 |
2016,
|
| 5224 |
-
2015
|
|
|
|
| 5225 |
]
|
| 5226 |
},
|
| 5227 |
"gap2026.neuroimaging-eeg": {
|
|
@@ -5238,7 +5289,8 @@
|
|
| 5238 |
2018,
|
| 5239 |
2017,
|
| 5240 |
2016,
|
| 5241 |
-
2015
|
|
|
|
| 5242 |
]
|
| 5243 |
},
|
| 5244 |
"gap2026.neuroimaging-fmri": {
|
|
@@ -5255,7 +5307,8 @@
|
|
| 5255 |
2018,
|
| 5256 |
2017,
|
| 5257 |
2016,
|
| 5258 |
-
2015
|
|
|
|
| 5259 |
]
|
| 5260 |
},
|
| 5261 |
"gap2026.neuroimaging-neural-decoding": {
|
|
@@ -5272,7 +5325,8 @@
|
|
| 5272 |
2018,
|
| 5273 |
2017,
|
| 5274 |
2016,
|
| 5275 |
-
2015
|
|
|
|
| 5276 |
]
|
| 5277 |
},
|
| 5278 |
"gap2026.physics-differentiable-simulation": {
|
|
@@ -5289,7 +5343,8 @@
|
|
| 5289 |
2018,
|
| 5290 |
2017,
|
| 5291 |
2016,
|
| 5292 |
-
2015
|
|
|
|
| 5293 |
]
|
| 5294 |
},
|
| 5295 |
"gap2026.physics-inverse-problem": {
|
|
@@ -5306,7 +5361,8 @@
|
|
| 5306 |
2018,
|
| 5307 |
2017,
|
| 5308 |
2016,
|
| 5309 |
-
2015
|
|
|
|
| 5310 |
]
|
| 5311 |
},
|
| 5312 |
"gap2026.physics-neural-pde-solver": {
|
|
@@ -5323,7 +5379,8 @@
|
|
| 5323 |
2018,
|
| 5324 |
2017,
|
| 5325 |
2016,
|
| 5326 |
-
2015
|
|
|
|
| 5327 |
]
|
| 5328 |
},
|
| 5329 |
"gap2026.physics-quantum-ml": {
|
|
@@ -5340,7 +5397,8 @@
|
|
| 5340 |
2018,
|
| 5341 |
2017,
|
| 5342 |
2016,
|
| 5343 |
-
2015
|
|
|
|
| 5344 |
]
|
| 5345 |
},
|
| 5346 |
"general.active-learning": {
|
|
@@ -5663,7 +5721,8 @@
|
|
| 5663 |
2018,
|
| 5664 |
2017,
|
| 5665 |
2016,
|
| 5666 |
-
2015
|
|
|
|
| 5667 |
]
|
| 5668 |
},
|
| 5669 |
"general.logistic-regression": {
|
|
@@ -5680,7 +5739,8 @@
|
|
| 5680 |
2018,
|
| 5681 |
2017,
|
| 5682 |
2016,
|
| 5683 |
-
2015
|
|
|
|
| 5684 |
]
|
| 5685 |
},
|
| 5686 |
"general.machine-learning-description": {
|
|
@@ -5697,7 +5757,8 @@
|
|
| 5697 |
2018,
|
| 5698 |
2017,
|
| 5699 |
2016,
|
| 5700 |
-
2015
|
|
|
|
| 5701 |
]
|
| 5702 |
},
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"general.machine-learning-readme": {
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2018,
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"general.matrix-factorization": {
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2018,
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"general.meta-learning": {
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2018,
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"general.metric-learning": {
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2018,
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"general.model-architecture": {
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2018,
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"general.multi-task-learning": {
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2018,
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"general.naive-bayes": {
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2018,
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"general.nearest-neighbors": {
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2018,
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"general.neural-network": {
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"general.neural-processes": {
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2018,
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"general.normalizing-flows": {
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2018,
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"general.novel-method": {
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2018,
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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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2018,
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"general.research-code": {
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2018,
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"general.self-supervised-learning": {
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2018,
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"general.semi-supervised-learning": {
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2018,
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"general.support-vector-machine": {
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2018,
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"general.topic-artificial-intelligence": {
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2018,
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"general.topic-deep-learning": {
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2018,
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"general.topic-machine-learning": {
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"general.transfer-learning": {
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2018,
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"general.weak-supervision": {
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2018,
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"geo.building-footprints": {
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2018,
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2017,
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"geo.sar-imagery": {
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2018,
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"geo.satellite-imagery": {
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"geo.topic-earth-observation": {
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2018,
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"geo.topic-geospatial": {
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"geo.topic-gis": {
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2018,
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]
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"geo.topic-remote-sensing": {
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2018,
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]
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},
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"geo.trajectory-prediction": {
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2018,
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]
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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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2018,
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]
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"graph.neural-ode-graph": {
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2018,
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},
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"graph.persistent-homology": {
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2018,
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"graph.point-cloud-learning": {
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2018,
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"graph.point-clouds": {
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"graph.representation-learning": {
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"graph.signal-processing": {
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2018,
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"graph.temporal-learning": {
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"graph.topic-gnn": {
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2018,
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"graph.topological-ml": {
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2018,
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"llm-code-generation": {
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"llm.speculative-decoding": {
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"llm.synthetic-data": {
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"llm.synthetic-data-generation": {
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"llm.test-time-compute": {
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"llm.transformers": {
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"materials-battery": {
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"medical.neural-decoding": {
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2018,
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"medical.neuroimaging": {
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"medical.ophthalmology": {
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"medical.pathology": {
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"medical.pathology-foundation-model": {
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2018,
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"medical.patient-risk": {
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"medical.radiology": {
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"medical.survival-analysis": {
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2018,
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"medical.wearable-health": {
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2018,
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"multimodal.3d-generation": {
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2018,
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2017,
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2016,
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"multimodal.video-language-model": {
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|
@@ -8479,7 +8601,8 @@
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2018,
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2017,
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2016,
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]
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},
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"multimodal.video-question-answering": {
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|
@@ -8496,7 +8619,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"multimodal.video-understanding": {
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@@ -8513,7 +8637,8 @@
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2018,
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2017,
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2016,
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]
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},
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"multimodal.vision-language": {
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@@ -8530,7 +8655,8 @@
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2018,
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2017,
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2016,
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]
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},
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"multimodal.visual-question-answering": {
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2018,
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2017,
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2016,
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-
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]
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},
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"multimodal.vlm": {
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2018,
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2017,
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2016,
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]
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},
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"multimodal.world-models": {
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2018,
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2017,
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2016,
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]
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},
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"nlp-bm25-retrieval": {
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2018,
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2017,
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2016,
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]
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},
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"nlp.topic-modeling": {
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@@ -9047,7 +9177,8 @@
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2018,
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2017,
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2016,
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-
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]
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},
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"probable.adaptation-domain-generalization-readme": {
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@@ -9658,7 +9789,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.foundation-model": {
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@@ -9675,7 +9807,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.language-model": {
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@@ -9692,7 +9825,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.large-language-model": {
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@@ -9709,7 +9843,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.machine-learning": {
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@@ -9726,7 +9861,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.multimodal-model": {
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@@ -9743,7 +9879,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.neural-network": {
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@@ -9760,7 +9897,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.name.transformer-model": {
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@@ -9777,7 +9915,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.player-tracking": {
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@@ -9794,7 +9933,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.population-health-prediction": {
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@@ -9811,7 +9951,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.power-system-forecasting": {
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@@ -9828,7 +9969,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.social-media-analysis": {
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2018,
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2017,
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2016,
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-
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]
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},
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"recall.sports-analytics": {
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@@ -9862,7 +10005,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.structural-health-monitoring": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall.student-performance-prediction": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"recall26.audio-language-model": {
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@@ -10363,7 +10509,8 @@
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2018,
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2017,
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2016,
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]
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},
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"rl.preference": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"rl.reinforcement-learning-from-human-feedback": {
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2018,
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2017,
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2016,
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2015
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]
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},
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"rl.safe": {
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@@ -10414,7 +10563,8 @@
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2018,
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2017,
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2016,
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2015
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]
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},
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"rl.soft-actor-critic": {
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@@ -10431,7 +10581,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"robotics.autonomous-driving": {
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@@ -10754,7 +10905,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"robotics.slam": {
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@@ -10771,7 +10923,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"robotics.tactile-learning": {
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@@ -10788,7 +10941,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"robotics.teleoperation": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"robotics.visual-language-action": {
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@@ -10822,7 +10977,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"robotics.visuomotor-policy": {
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@@ -10839,7 +10995,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"science.astronomy": {
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@@ -11162,7 +11319,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"science.quantum-materials": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"science.quantum-physics": {
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@@ -11196,7 +11355,8 @@
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2018,
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2017,
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2016,
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2015
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]
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},
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"science.remote-sensing": {
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2018,
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2017,
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2016,
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2015
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]
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},
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"science.scientific-machine-learning": {
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@@ -11230,7 +11391,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"science.seismic": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"science.turbulence": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"science.weather-forecasting": {
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2018,
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2017,
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2016,
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2015
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]
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},
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"science.weather-nowcasting": {
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@@ -11298,7 +11463,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"specialized.carbon-footprint-training": {
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@@ -11873,7 +12039,8 @@
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2018,
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2017,
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2016,
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2015
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]
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},
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"timeseries.streaming": {
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2018,
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2017,
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2016,
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2015
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]
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},
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"timeseries.synthetic-generation": {
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@@ -11907,7 +12075,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"timeseries.tabular-foundation-models": {
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@@ -11924,7 +12093,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"timeseries.temporal-fusion-transformer": {
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@@ -11941,7 +12111,8 @@
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2018,
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2017,
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2016,
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2015
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]
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},
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"timeseries.temporal-representation": {
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@@ -11958,7 +12129,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"timeseries.topic": {
|
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@@ -11975,7 +12147,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"timeseries.traffic-forecasting": {
|
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@@ -11992,7 +12165,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"timeseries.unevenly-spaced": {
|
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@@ -12009,7 +12183,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"timeseries.weather-forecasting": {
|
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@@ -12026,7 +12201,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
|
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"trust.adversarial-robustness": {
|
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@@ -12331,7 +12507,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
|
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"trust.instrumental-variable-ml": {
|
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@@ -12348,7 +12525,8 @@
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2018,
|
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2017,
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2016,
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-
2015
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]
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},
|
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"trust.interpretable-ml": {
|
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@@ -12365,7 +12543,8 @@
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2018,
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2017,
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2016,
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-
2015
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]
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},
|
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"trust.membership-inference": {
|
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@@ -12382,7 +12561,8 @@
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2018,
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2017,
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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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"trust.ml-fairness": {
|
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@@ -12399,7 +12579,8 @@
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2018,
|
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2017,
|
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2016,
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-
2015
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|
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]
|
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},
|
| 12405 |
"trust.model-calibration": {
|
|
@@ -12416,7 +12597,8 @@
|
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2018,
|
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2017,
|
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2016,
|
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-
2015
|
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|
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]
|
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},
|
| 12422 |
"trust.neuro-symbolic": {
|
|
@@ -12433,7 +12615,8 @@
|
|
| 12433 |
2018,
|
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2017,
|
| 12435 |
2016,
|
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-
2015
|
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|
|
| 12437 |
]
|
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},
|
| 12439 |
"trust.out-of-distribution-detection": {
|
|
@@ -12450,7 +12633,8 @@
|
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2018,
|
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2017,
|
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2016,
|
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-
2015
|
|
|
|
| 12454 |
]
|
| 12455 |
},
|
| 12456 |
"trust.privacy-preserving-ml": {
|
|
@@ -12467,7 +12651,8 @@
|
|
| 12467 |
2018,
|
| 12468 |
2017,
|
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2016,
|
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-
2015
|
|
|
|
| 12471 |
]
|
| 12472 |
},
|
| 12473 |
"trust.robustness-certification": {
|
|
@@ -12484,7 +12669,8 @@
|
|
| 12484 |
2018,
|
| 12485 |
2017,
|
| 12486 |
2016,
|
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-
2015
|
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]
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},
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"trust.safe-reinforcement-learning": {
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2018,
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2017,
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2016,
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]
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},
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"trust.shap": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"trust.uncertainty-quantification": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"vision.action-recognition": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.pose-estimation": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.promptable-segmentation": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"vision.segmentation": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.self-supervised-vision": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.topic-computer-vision": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.video-generation": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.video-understanding": {
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2018,
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2017,
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2016,
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-
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]
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},
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"vision.vision-language": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"vision.visual-anomaly-detection": {
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2018,
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2017,
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2016,
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-
2015
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]
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},
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"vision.visual-localization": {
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2018,
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2017,
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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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@@ -13023,5 +13223,5 @@
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|
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"end": "2026-09-24",
|
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"search_policy_version": 2,
|
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"start_year": 2008,
|
| 13026 |
-
"updated_at": "2026-11-
|
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}
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2017,
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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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},
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"applied.agricultural-ml": {
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2018,
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2017,
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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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"applied.intrusion-detection": {
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2018,
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2017,
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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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"applied.inventory-optimization": {
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2018,
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2017,
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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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"applied.learning-to-rank": {
|
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2018,
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2017,
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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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"applied.malware-detection": {
|
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2018,
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2017,
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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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"applied.ml-econometrics": {
|
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2018,
|
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2017,
|
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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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"applied.plant-disease-detection": {
|
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2018,
|
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2017,
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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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"applied.portfolio-optimization": {
|
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2018,
|
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2017,
|
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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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"applied.predictive-maintenance": {
|
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2018,
|
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2017,
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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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"applied.process-mining-prediction": {
|
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2018,
|
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2017,
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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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"applied.quantitative-finance": {
|
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2018,
|
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2017,
|
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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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"applied.recommender-systems": {
|
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2018,
|
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2017,
|
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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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"applied.search-ranking": {
|
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2018,
|
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2017,
|
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2016,
|
| 2946 |
+
2015,
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+
2014
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]
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},
|
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"applied.species-distribution-modeling": {
|
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2018,
|
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2017,
|
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2016,
|
| 2964 |
+
2015,
|
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+
2014
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]
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},
|
| 2968 |
"applied.supply-chain-optimization": {
|
|
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|
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2018,
|
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2017,
|
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2016,
|
| 2982 |
+
2015,
|
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+
2014
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]
|
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},
|
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"applied.tabular-ml": {
|
|
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2018,
|
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2017,
|
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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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"applied.time-series-forecasting": {
|
|
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2018,
|
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2017,
|
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2016,
|
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+
2015,
|
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+
2014
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]
|
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},
|
| 3022 |
"applied.traffic-prediction": {
|
|
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|
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2018,
|
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2017,
|
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2016,
|
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+
2015,
|
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+
2014
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]
|
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},
|
| 3040 |
"applied.uplift-modeling": {
|
|
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|
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2018,
|
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2017,
|
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2016,
|
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+
2015,
|
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+
2014
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]
|
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},
|
| 3058 |
"audio-acoustic-event-classification": {
|
|
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|
| 3070 |
2017,
|
| 3071 |
2016,
|
| 3072 |
2015,
|
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+
2014,
|
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+
2013
|
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]
|
| 3076 |
},
|
| 3077 |
"audio-anomaly-detection": {
|
|
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|
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2017,
|
| 3090 |
2016,
|
| 3091 |
2015,
|
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+
2014,
|
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+
2013
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]
|
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},
|
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"audio-asr": {
|
|
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|
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2017,
|
| 3109 |
2016,
|
| 3110 |
2015,
|
| 3111 |
+
2014,
|
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+
2013
|
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]
|
| 3114 |
},
|
| 3115 |
"audio-audio-captioning": {
|
|
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|
| 3127 |
2017,
|
| 3128 |
2016,
|
| 3129 |
2015,
|
| 3130 |
+
2014,
|
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+
2013
|
| 3132 |
]
|
| 3133 |
},
|
| 3134 |
"audio-audio-classification": {
|
|
|
|
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2017,
|
| 3147 |
2016,
|
| 3148 |
2015,
|
| 3149 |
+
2014,
|
| 3150 |
+
2013
|
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]
|
| 3152 |
},
|
| 3153 |
"audio-audio-question-answering": {
|
|
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|
| 3165 |
2017,
|
| 3166 |
2016,
|
| 3167 |
2015,
|
| 3168 |
+
2014,
|
| 3169 |
+
2013
|
| 3170 |
]
|
| 3171 |
},
|
| 3172 |
"audio-audio-super-resolution": {
|
|
|
|
| 3867 |
2018,
|
| 3868 |
2017,
|
| 3869 |
2016,
|
| 3870 |
+
2015,
|
| 3871 |
+
2014
|
| 3872 |
]
|
| 3873 |
},
|
| 3874 |
"bio.regulatory-sequence-modeling": {
|
|
|
|
| 3885 |
2018,
|
| 3886 |
2017,
|
| 3887 |
2016,
|
| 3888 |
+
2015,
|
| 3889 |
+
2014
|
| 3890 |
]
|
| 3891 |
},
|
| 3892 |
"bio.rna-language-models": {
|
|
|
|
| 3903 |
2018,
|
| 3904 |
2017,
|
| 3905 |
2016,
|
| 3906 |
+
2015,
|
| 3907 |
+
2014
|
| 3908 |
]
|
| 3909 |
},
|
| 3910 |
"bio.rna-structure": {
|
|
|
|
| 3921 |
2018,
|
| 3922 |
2017,
|
| 3923 |
2016,
|
| 3924 |
+
2015,
|
| 3925 |
+
2014
|
| 3926 |
]
|
| 3927 |
},
|
| 3928 |
"bio.scrna-seq": {
|
|
|
|
| 3939 |
2018,
|
| 3940 |
2017,
|
| 3941 |
2016,
|
| 3942 |
+
2015,
|
| 3943 |
+
2014
|
| 3944 |
]
|
| 3945 |
},
|
| 3946 |
"bio.single-cell": {
|
|
|
|
| 3957 |
2018,
|
| 3958 |
2017,
|
| 3959 |
2016,
|
| 3960 |
+
2015,
|
| 3961 |
+
2014
|
| 3962 |
]
|
| 3963 |
},
|
| 3964 |
"bio.spatial-transcriptomics": {
|
|
|
|
| 3975 |
2018,
|
| 3976 |
2017,
|
| 3977 |
2016,
|
| 3978 |
+
2015,
|
| 3979 |
+
2014
|
| 3980 |
]
|
| 3981 |
},
|
| 3982 |
"bio.transcriptomics": {
|
|
|
|
| 3993 |
2018,
|
| 3994 |
2017,
|
| 3995 |
2016,
|
| 3996 |
+
2015,
|
| 3997 |
+
2014
|
| 3998 |
]
|
| 3999 |
},
|
| 4000 |
"bio.variant-effects": {
|
|
|
|
| 4011 |
2018,
|
| 4012 |
2017,
|
| 4013 |
2016,
|
| 4014 |
+
2015,
|
| 4015 |
+
2014
|
| 4016 |
]
|
| 4017 |
},
|
| 4018 |
"chem-admet": {
|
|
|
|
| 4695 |
2018,
|
| 4696 |
2017,
|
| 4697 |
2016,
|
| 4698 |
+
2015,
|
| 4699 |
+
2014
|
| 4700 |
]
|
| 4701 |
},
|
| 4702 |
"efficiency.model-compression": {
|
|
|
|
| 4713 |
2018,
|
| 4714 |
2017,
|
| 4715 |
2016,
|
| 4716 |
+
2015,
|
| 4717 |
+
2014
|
| 4718 |
]
|
| 4719 |
},
|
| 4720 |
"efficiency.neural-architecture-search": {
|
|
|
|
| 4731 |
2018,
|
| 4732 |
2017,
|
| 4733 |
2016,
|
| 4734 |
+
2015,
|
| 4735 |
+
2014
|
| 4736 |
]
|
| 4737 |
},
|
| 4738 |
"efficiency.optimizer-state-sharding": {
|
|
|
|
| 4749 |
2018,
|
| 4750 |
2017,
|
| 4751 |
2016,
|
| 4752 |
+
2015,
|
| 4753 |
+
2014
|
| 4754 |
]
|
| 4755 |
},
|
| 4756 |
"efficiency.parameter-efficient-finetuning": {
|
|
|
|
| 4767 |
2018,
|
| 4768 |
2017,
|
| 4769 |
2016,
|
| 4770 |
+
2015,
|
| 4771 |
+
2014
|
| 4772 |
]
|
| 4773 |
},
|
| 4774 |
"efficiency.post-training-quantization": {
|
|
|
|
| 4785 |
2018,
|
| 4786 |
2017,
|
| 4787 |
2016,
|
| 4788 |
+
2015,
|
| 4789 |
+
2014
|
| 4790 |
]
|
| 4791 |
},
|
| 4792 |
"efficiency.pruning": {
|
|
|
|
| 4803 |
2018,
|
| 4804 |
2017,
|
| 4805 |
2016,
|
| 4806 |
+
2015,
|
| 4807 |
+
2014
|
| 4808 |
]
|
| 4809 |
},
|
| 4810 |
"efficiency.quantization": {
|
|
|
|
| 4821 |
2018,
|
| 4822 |
2017,
|
| 4823 |
2016,
|
| 4824 |
+
2015,
|
| 4825 |
+
2014
|
| 4826 |
]
|
| 4827 |
},
|
| 4828 |
"efficiency.quantization-aware-training": {
|
|
|
|
| 4839 |
2018,
|
| 4840 |
2017,
|
| 4841 |
2016,
|
| 4842 |
+
2015,
|
| 4843 |
+
2014
|
| 4844 |
]
|
| 4845 |
},
|
| 4846 |
"efficiency.sparse-neural-networks": {
|
|
|
|
| 4857 |
2018,
|
| 4858 |
2017,
|
| 4859 |
2016,
|
| 4860 |
+
2015,
|
| 4861 |
+
2014
|
| 4862 |
]
|
| 4863 |
},
|
| 4864 |
"efficiency.speculative-decoding": {
|
|
|
|
| 4875 |
2018,
|
| 4876 |
2017,
|
| 4877 |
2016,
|
| 4878 |
+
2015,
|
| 4879 |
+
2014
|
| 4880 |
]
|
| 4881 |
},
|
| 4882 |
"gap2026.archaeology-ml": {
|
|
|
|
| 5199 |
2018,
|
| 5200 |
2017,
|
| 5201 |
2016,
|
| 5202 |
+
2015,
|
| 5203 |
+
2014
|
| 5204 |
]
|
| 5205 |
},
|
| 5206 |
"gap2026.green-ai-energy": {
|
|
|
|
| 5217 |
2018,
|
| 5218 |
2017,
|
| 5219 |
2016,
|
| 5220 |
+
2015,
|
| 5221 |
+
2014
|
| 5222 |
]
|
| 5223 |
},
|
| 5224 |
"gap2026.math-learned-optimization": {
|
|
|
|
| 5235 |
2018,
|
| 5236 |
2017,
|
| 5237 |
2016,
|
| 5238 |
+
2015,
|
| 5239 |
+
2014
|
| 5240 |
]
|
| 5241 |
},
|
| 5242 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
|
|
| 5253 |
2018,
|
| 5254 |
2017,
|
| 5255 |
2016,
|
| 5256 |
+
2015,
|
| 5257 |
+
2014
|
| 5258 |
]
|
| 5259 |
},
|
| 5260 |
"gap2026.neuroimaging-connectome": {
|
|
|
|
| 5271 |
2018,
|
| 5272 |
2017,
|
| 5273 |
2016,
|
| 5274 |
+
2015,
|
| 5275 |
+
2014
|
| 5276 |
]
|
| 5277 |
},
|
| 5278 |
"gap2026.neuroimaging-eeg": {
|
|
|
|
| 5289 |
2018,
|
| 5290 |
2017,
|
| 5291 |
2016,
|
| 5292 |
+
2015,
|
| 5293 |
+
2014
|
| 5294 |
]
|
| 5295 |
},
|
| 5296 |
"gap2026.neuroimaging-fmri": {
|
|
|
|
| 5307 |
2018,
|
| 5308 |
2017,
|
| 5309 |
2016,
|
| 5310 |
+
2015,
|
| 5311 |
+
2014
|
| 5312 |
]
|
| 5313 |
},
|
| 5314 |
"gap2026.neuroimaging-neural-decoding": {
|
|
|
|
| 5325 |
2018,
|
| 5326 |
2017,
|
| 5327 |
2016,
|
| 5328 |
+
2015,
|
| 5329 |
+
2014
|
| 5330 |
]
|
| 5331 |
},
|
| 5332 |
"gap2026.physics-differentiable-simulation": {
|
|
|
|
| 5343 |
2018,
|
| 5344 |
2017,
|
| 5345 |
2016,
|
| 5346 |
+
2015,
|
| 5347 |
+
2014
|
| 5348 |
]
|
| 5349 |
},
|
| 5350 |
"gap2026.physics-inverse-problem": {
|
|
|
|
| 5361 |
2018,
|
| 5362 |
2017,
|
| 5363 |
2016,
|
| 5364 |
+
2015,
|
| 5365 |
+
2014
|
| 5366 |
]
|
| 5367 |
},
|
| 5368 |
"gap2026.physics-neural-pde-solver": {
|
|
|
|
| 5379 |
2018,
|
| 5380 |
2017,
|
| 5381 |
2016,
|
| 5382 |
+
2015,
|
| 5383 |
+
2014
|
| 5384 |
]
|
| 5385 |
},
|
| 5386 |
"gap2026.physics-quantum-ml": {
|
|
|
|
| 5397 |
2018,
|
| 5398 |
2017,
|
| 5399 |
2016,
|
| 5400 |
+
2015,
|
| 5401 |
+
2014
|
| 5402 |
]
|
| 5403 |
},
|
| 5404 |
"general.active-learning": {
|
|
|
|
| 5721 |
2018,
|
| 5722 |
2017,
|
| 5723 |
2016,
|
| 5724 |
+
2015,
|
| 5725 |
+
2014
|
| 5726 |
]
|
| 5727 |
},
|
| 5728 |
"general.logistic-regression": {
|
|
|
|
| 5739 |
2018,
|
| 5740 |
2017,
|
| 5741 |
2016,
|
| 5742 |
+
2015,
|
| 5743 |
+
2014
|
| 5744 |
]
|
| 5745 |
},
|
| 5746 |
"general.machine-learning-description": {
|
|
|
|
| 5757 |
2018,
|
| 5758 |
2017,
|
| 5759 |
2016,
|
| 5760 |
+
2015,
|
| 5761 |
+
2014
|
| 5762 |
]
|
| 5763 |
},
|
| 5764 |
"general.machine-learning-readme": {
|
|
|
|
| 5775 |
2018,
|
| 5776 |
2017,
|
| 5777 |
2016,
|
| 5778 |
+
2015,
|
| 5779 |
+
2014
|
| 5780 |
]
|
| 5781 |
},
|
| 5782 |
"general.matrix-factorization": {
|
|
|
|
| 5793 |
2018,
|
| 5794 |
2017,
|
| 5795 |
2016,
|
| 5796 |
+
2015,
|
| 5797 |
+
2014
|
| 5798 |
]
|
| 5799 |
},
|
| 5800 |
"general.meta-learning": {
|
|
|
|
| 5811 |
2018,
|
| 5812 |
2017,
|
| 5813 |
2016,
|
| 5814 |
+
2015,
|
| 5815 |
+
2014
|
| 5816 |
]
|
| 5817 |
},
|
| 5818 |
"general.metric-learning": {
|
|
|
|
| 5829 |
2018,
|
| 5830 |
2017,
|
| 5831 |
2016,
|
| 5832 |
+
2015,
|
| 5833 |
+
2014
|
| 5834 |
]
|
| 5835 |
},
|
| 5836 |
"general.model-architecture": {
|
|
|
|
| 5847 |
2018,
|
| 5848 |
2017,
|
| 5849 |
2016,
|
| 5850 |
+
2015,
|
| 5851 |
+
2014
|
| 5852 |
]
|
| 5853 |
},
|
| 5854 |
"general.multi-task-learning": {
|
|
|
|
| 5865 |
2018,
|
| 5866 |
2017,
|
| 5867 |
2016,
|
| 5868 |
+
2015,
|
| 5869 |
+
2014
|
| 5870 |
]
|
| 5871 |
},
|
| 5872 |
"general.naive-bayes": {
|
|
|
|
| 5883 |
2018,
|
| 5884 |
2017,
|
| 5885 |
2016,
|
| 5886 |
+
2015,
|
| 5887 |
+
2014
|
| 5888 |
]
|
| 5889 |
},
|
| 5890 |
"general.nearest-neighbors": {
|
|
|
|
| 5901 |
2018,
|
| 5902 |
2017,
|
| 5903 |
2016,
|
| 5904 |
+
2015,
|
| 5905 |
+
2014
|
| 5906 |
]
|
| 5907 |
},
|
| 5908 |
"general.neural-network": {
|
|
|
|
| 5919 |
2018,
|
| 5920 |
2017,
|
| 5921 |
2016,
|
| 5922 |
+
2015,
|
| 5923 |
+
2014
|
| 5924 |
]
|
| 5925 |
},
|
| 5926 |
"general.neural-processes": {
|
|
|
|
| 5937 |
2018,
|
| 5938 |
2017,
|
| 5939 |
2016,
|
| 5940 |
+
2015,
|
| 5941 |
+
2014
|
| 5942 |
]
|
| 5943 |
},
|
| 5944 |
"general.normalizing-flows": {
|
|
|
|
| 5955 |
2018,
|
| 5956 |
2017,
|
| 5957 |
2016,
|
| 5958 |
+
2015,
|
| 5959 |
+
2014
|
| 5960 |
]
|
| 5961 |
},
|
| 5962 |
"general.novel-method": {
|
|
|
|
| 5973 |
2018,
|
| 5974 |
2017,
|
| 5975 |
2016,
|
| 5976 |
+
2015,
|
| 5977 |
+
2014
|
| 5978 |
]
|
| 5979 |
},
|
| 5980 |
"general.paper-implementation": {
|
|
|
|
| 5991 |
2018,
|
| 5992 |
2017,
|
| 5993 |
2016,
|
| 5994 |
+
2015,
|
| 5995 |
+
2014
|
| 5996 |
]
|
| 5997 |
},
|
| 5998 |
"general.probabilistic-programming": {
|
|
|
|
| 6009 |
2018,
|
| 6010 |
2017,
|
| 6011 |
2016,
|
| 6012 |
+
2015,
|
| 6013 |
+
2014
|
| 6014 |
]
|
| 6015 |
},
|
| 6016 |
"general.random-forest": {
|
|
|
|
| 6027 |
2018,
|
| 6028 |
2017,
|
| 6029 |
2016,
|
| 6030 |
+
2015,
|
| 6031 |
+
2014
|
| 6032 |
]
|
| 6033 |
},
|
| 6034 |
"general.research-code": {
|
|
|
|
| 6045 |
2018,
|
| 6046 |
2017,
|
| 6047 |
2016,
|
| 6048 |
+
2015,
|
| 6049 |
+
2014
|
| 6050 |
]
|
| 6051 |
},
|
| 6052 |
"general.self-supervised-learning": {
|
|
|
|
| 6063 |
2018,
|
| 6064 |
2017,
|
| 6065 |
2016,
|
| 6066 |
+
2015,
|
| 6067 |
+
2014
|
| 6068 |
]
|
| 6069 |
},
|
| 6070 |
"general.semi-supervised-learning": {
|
|
|
|
| 6081 |
2018,
|
| 6082 |
2017,
|
| 6083 |
2016,
|
| 6084 |
+
2015,
|
| 6085 |
+
2014
|
| 6086 |
]
|
| 6087 |
},
|
| 6088 |
"general.support-vector-machine": {
|
|
|
|
| 6099 |
2018,
|
| 6100 |
2017,
|
| 6101 |
2016,
|
| 6102 |
+
2015,
|
| 6103 |
+
2014
|
| 6104 |
]
|
| 6105 |
},
|
| 6106 |
"general.topic-artificial-intelligence": {
|
|
|
|
| 6117 |
2018,
|
| 6118 |
2017,
|
| 6119 |
2016,
|
| 6120 |
+
2015,
|
| 6121 |
+
2014
|
| 6122 |
]
|
| 6123 |
},
|
| 6124 |
"general.topic-deep-learning": {
|
|
|
|
| 6135 |
2018,
|
| 6136 |
2017,
|
| 6137 |
2016,
|
| 6138 |
+
2015,
|
| 6139 |
+
2014
|
| 6140 |
]
|
| 6141 |
},
|
| 6142 |
"general.topic-machine-learning": {
|
|
|
|
| 6153 |
2018,
|
| 6154 |
2017,
|
| 6155 |
2016,
|
| 6156 |
+
2015,
|
| 6157 |
+
2014
|
| 6158 |
]
|
| 6159 |
},
|
| 6160 |
"general.transfer-learning": {
|
|
|
|
| 6171 |
2018,
|
| 6172 |
2017,
|
| 6173 |
2016,
|
| 6174 |
+
2015,
|
| 6175 |
+
2014
|
| 6176 |
]
|
| 6177 |
},
|
| 6178 |
"general.weak-supervision": {
|
|
|
|
| 6189 |
2018,
|
| 6190 |
2017,
|
| 6191 |
2016,
|
| 6192 |
+
2015,
|
| 6193 |
+
2014
|
| 6194 |
]
|
| 6195 |
},
|
| 6196 |
"geo.building-footprints": {
|
|
|
|
| 6513 |
2018,
|
| 6514 |
2017,
|
| 6515 |
2016,
|
| 6516 |
+
2015,
|
| 6517 |
+
2014
|
| 6518 |
]
|
| 6519 |
},
|
| 6520 |
"geo.sar-imagery": {
|
|
|
|
| 6531 |
2018,
|
| 6532 |
2017,
|
| 6533 |
2016,
|
| 6534 |
+
2015,
|
| 6535 |
+
2014
|
| 6536 |
]
|
| 6537 |
},
|
| 6538 |
"geo.satellite-imagery": {
|
|
|
|
| 6549 |
2018,
|
| 6550 |
2017,
|
| 6551 |
2016,
|
| 6552 |
+
2015,
|
| 6553 |
+
2014
|
| 6554 |
]
|
| 6555 |
},
|
| 6556 |
"geo.topic-earth-observation": {
|
|
|
|
| 6567 |
2018,
|
| 6568 |
2017,
|
| 6569 |
2016,
|
| 6570 |
+
2015,
|
| 6571 |
+
2014
|
| 6572 |
]
|
| 6573 |
},
|
| 6574 |
"geo.topic-geospatial": {
|
|
|
|
| 6585 |
2018,
|
| 6586 |
2017,
|
| 6587 |
2016,
|
| 6588 |
+
2015,
|
| 6589 |
+
2014
|
| 6590 |
]
|
| 6591 |
},
|
| 6592 |
"geo.topic-gis": {
|
|
|
|
| 6603 |
2018,
|
| 6604 |
2017,
|
| 6605 |
2016,
|
| 6606 |
+
2015,
|
| 6607 |
+
2014
|
| 6608 |
]
|
| 6609 |
},
|
| 6610 |
"geo.topic-remote-sensing": {
|
|
|
|
| 6621 |
2018,
|
| 6622 |
2017,
|
| 6623 |
2016,
|
| 6624 |
+
2015,
|
| 6625 |
+
2014
|
| 6626 |
]
|
| 6627 |
},
|
| 6628 |
"geo.trajectory-prediction": {
|
|
|
|
| 6639 |
2018,
|
| 6640 |
2017,
|
| 6641 |
2016,
|
| 6642 |
+
2015,
|
| 6643 |
+
2014
|
| 6644 |
]
|
| 6645 |
},
|
| 6646 |
"geo.urban-sensing": {
|
|
|
|
| 6657 |
2018,
|
| 6658 |
2017,
|
| 6659 |
2016,
|
| 6660 |
+
2015,
|
| 6661 |
+
2014
|
| 6662 |
]
|
| 6663 |
},
|
| 6664 |
"geo.wildfire-mapping": {
|
|
|
|
| 6675 |
2018,
|
| 6676 |
2017,
|
| 6677 |
2016,
|
| 6678 |
+
2015,
|
| 6679 |
+
2014
|
| 6680 |
]
|
| 6681 |
},
|
| 6682 |
"graph.e3-equivariance": {
|
|
|
|
| 6999 |
2018,
|
| 7000 |
2017,
|
| 7001 |
2016,
|
| 7002 |
+
2015,
|
| 7003 |
+
2014
|
| 7004 |
]
|
| 7005 |
},
|
| 7006 |
"graph.neural-ode-graph": {
|
|
|
|
| 7017 |
2018,
|
| 7018 |
2017,
|
| 7019 |
2016,
|
| 7020 |
+
2015,
|
| 7021 |
+
2014
|
| 7022 |
]
|
| 7023 |
},
|
| 7024 |
"graph.persistent-homology": {
|
|
|
|
| 7035 |
2018,
|
| 7036 |
2017,
|
| 7037 |
2016,
|
| 7038 |
+
2015,
|
| 7039 |
+
2014
|
| 7040 |
]
|
| 7041 |
},
|
| 7042 |
"graph.point-cloud-learning": {
|
|
|
|
| 7053 |
2018,
|
| 7054 |
2017,
|
| 7055 |
2016,
|
| 7056 |
+
2015,
|
| 7057 |
+
2014
|
| 7058 |
]
|
| 7059 |
},
|
| 7060 |
"graph.point-clouds": {
|
|
|
|
| 7071 |
2018,
|
| 7072 |
2017,
|
| 7073 |
2016,
|
| 7074 |
+
2015,
|
| 7075 |
+
2014
|
| 7076 |
]
|
| 7077 |
},
|
| 7078 |
"graph.representation-learning": {
|
|
|
|
| 7089 |
2018,
|
| 7090 |
2017,
|
| 7091 |
2016,
|
| 7092 |
+
2015,
|
| 7093 |
+
2014
|
| 7094 |
]
|
| 7095 |
},
|
| 7096 |
"graph.signal-processing": {
|
|
|
|
| 7107 |
2018,
|
| 7108 |
2017,
|
| 7109 |
2016,
|
| 7110 |
+
2015,
|
| 7111 |
+
2014
|
| 7112 |
]
|
| 7113 |
},
|
| 7114 |
"graph.temporal-learning": {
|
|
|
|
| 7125 |
2018,
|
| 7126 |
2017,
|
| 7127 |
2016,
|
| 7128 |
+
2015,
|
| 7129 |
+
2014
|
| 7130 |
]
|
| 7131 |
},
|
| 7132 |
"graph.topic-gnn": {
|
|
|
|
| 7143 |
2018,
|
| 7144 |
2017,
|
| 7145 |
2016,
|
| 7146 |
+
2015,
|
| 7147 |
+
2014
|
| 7148 |
]
|
| 7149 |
},
|
| 7150 |
"graph.topological-ml": {
|
|
|
|
| 7161 |
2018,
|
| 7162 |
2017,
|
| 7163 |
2016,
|
| 7164 |
+
2015,
|
| 7165 |
+
2014
|
| 7166 |
]
|
| 7167 |
},
|
| 7168 |
"llm-code-generation": {
|
|
|
|
| 7557 |
2018,
|
| 7558 |
2017,
|
| 7559 |
2016,
|
| 7560 |
+
2015,
|
| 7561 |
+
2014
|
| 7562 |
]
|
| 7563 |
},
|
| 7564 |
"llm.speculative-decoding": {
|
|
|
|
| 7575 |
2018,
|
| 7576 |
2017,
|
| 7577 |
2016,
|
| 7578 |
+
2015,
|
| 7579 |
+
2014
|
| 7580 |
]
|
| 7581 |
},
|
| 7582 |
"llm.synthetic-data": {
|
|
|
|
| 7593 |
2018,
|
| 7594 |
2017,
|
| 7595 |
2016,
|
| 7596 |
+
2015,
|
| 7597 |
+
2014
|
| 7598 |
]
|
| 7599 |
},
|
| 7600 |
"llm.synthetic-data-generation": {
|
|
|
|
| 7611 |
2018,
|
| 7612 |
2017,
|
| 7613 |
2016,
|
| 7614 |
+
2015,
|
| 7615 |
+
2014
|
| 7616 |
]
|
| 7617 |
},
|
| 7618 |
"llm.test-time-compute": {
|
|
|
|
| 7629 |
2018,
|
| 7630 |
2017,
|
| 7631 |
2016,
|
| 7632 |
+
2015,
|
| 7633 |
+
2014
|
| 7634 |
]
|
| 7635 |
},
|
| 7636 |
"llm.transformers": {
|
|
|
|
| 7647 |
2018,
|
| 7648 |
2017,
|
| 7649 |
2016,
|
| 7650 |
+
2015,
|
| 7651 |
+
2014
|
| 7652 |
]
|
| 7653 |
},
|
| 7654 |
"materials-battery": {
|
|
|
|
| 8097 |
2018,
|
| 8098 |
2017,
|
| 8099 |
2016,
|
| 8100 |
+
2015,
|
| 8101 |
+
2014
|
| 8102 |
]
|
| 8103 |
},
|
| 8104 |
"medical.neural-decoding": {
|
|
|
|
| 8115 |
2018,
|
| 8116 |
2017,
|
| 8117 |
2016,
|
| 8118 |
+
2015,
|
| 8119 |
+
2014
|
| 8120 |
]
|
| 8121 |
},
|
| 8122 |
"medical.neuroimaging": {
|
|
|
|
| 8133 |
2018,
|
| 8134 |
2017,
|
| 8135 |
2016,
|
| 8136 |
+
2015,
|
| 8137 |
+
2014
|
| 8138 |
]
|
| 8139 |
},
|
| 8140 |
"medical.ophthalmology": {
|
|
|
|
| 8151 |
2018,
|
| 8152 |
2017,
|
| 8153 |
2016,
|
| 8154 |
+
2015,
|
| 8155 |
+
2014
|
| 8156 |
]
|
| 8157 |
},
|
| 8158 |
"medical.pathology": {
|
|
|
|
| 8169 |
2018,
|
| 8170 |
2017,
|
| 8171 |
2016,
|
| 8172 |
+
2015,
|
| 8173 |
+
2014
|
| 8174 |
]
|
| 8175 |
},
|
| 8176 |
"medical.pathology-foundation-model": {
|
|
|
|
| 8187 |
2018,
|
| 8188 |
2017,
|
| 8189 |
2016,
|
| 8190 |
+
2015,
|
| 8191 |
+
2014
|
| 8192 |
]
|
| 8193 |
},
|
| 8194 |
"medical.patient-risk": {
|
|
|
|
| 8205 |
2018,
|
| 8206 |
2017,
|
| 8207 |
2016,
|
| 8208 |
+
2015,
|
| 8209 |
+
2014
|
| 8210 |
]
|
| 8211 |
},
|
| 8212 |
"medical.radiology": {
|
|
|
|
| 8223 |
2018,
|
| 8224 |
2017,
|
| 8225 |
2016,
|
| 8226 |
+
2015,
|
| 8227 |
+
2014
|
| 8228 |
]
|
| 8229 |
},
|
| 8230 |
"medical.survival-analysis": {
|
|
|
|
| 8241 |
2018,
|
| 8242 |
2017,
|
| 8243 |
2016,
|
| 8244 |
+
2015,
|
| 8245 |
+
2014
|
| 8246 |
]
|
| 8247 |
},
|
| 8248 |
"medical.wearable-health": {
|
|
|
|
| 8259 |
2018,
|
| 8260 |
2017,
|
| 8261 |
2016,
|
| 8262 |
+
2015,
|
| 8263 |
+
2014
|
| 8264 |
]
|
| 8265 |
},
|
| 8266 |
"multimodal.3d-generation": {
|
|
|
|
| 8583 |
2018,
|
| 8584 |
2017,
|
| 8585 |
2016,
|
| 8586 |
+
2015,
|
| 8587 |
+
2014
|
| 8588 |
]
|
| 8589 |
},
|
| 8590 |
"multimodal.video-language-model": {
|
|
|
|
| 8601 |
2018,
|
| 8602 |
2017,
|
| 8603 |
2016,
|
| 8604 |
+
2015,
|
| 8605 |
+
2014
|
| 8606 |
]
|
| 8607 |
},
|
| 8608 |
"multimodal.video-question-answering": {
|
|
|
|
| 8619 |
2018,
|
| 8620 |
2017,
|
| 8621 |
2016,
|
| 8622 |
+
2015,
|
| 8623 |
+
2014
|
| 8624 |
]
|
| 8625 |
},
|
| 8626 |
"multimodal.video-understanding": {
|
|
|
|
| 8637 |
2018,
|
| 8638 |
2017,
|
| 8639 |
2016,
|
| 8640 |
+
2015,
|
| 8641 |
+
2014
|
| 8642 |
]
|
| 8643 |
},
|
| 8644 |
"multimodal.vision-language": {
|
|
|
|
| 8655 |
2018,
|
| 8656 |
2017,
|
| 8657 |
2016,
|
| 8658 |
+
2015,
|
| 8659 |
+
2014
|
| 8660 |
]
|
| 8661 |
},
|
| 8662 |
"multimodal.visual-question-answering": {
|
|
|
|
| 8673 |
2018,
|
| 8674 |
2017,
|
| 8675 |
2016,
|
| 8676 |
+
2015,
|
| 8677 |
+
2014
|
| 8678 |
]
|
| 8679 |
},
|
| 8680 |
"multimodal.vlm": {
|
|
|
|
| 8691 |
2018,
|
| 8692 |
2017,
|
| 8693 |
2016,
|
| 8694 |
+
2015,
|
| 8695 |
+
2014
|
| 8696 |
]
|
| 8697 |
},
|
| 8698 |
"multimodal.world-models": {
|
|
|
|
| 8709 |
2018,
|
| 8710 |
2017,
|
| 8711 |
2016,
|
| 8712 |
+
2015,
|
| 8713 |
+
2014
|
| 8714 |
]
|
| 8715 |
},
|
| 8716 |
"nlp-bm25-retrieval": {
|
|
|
|
| 9159 |
2018,
|
| 9160 |
2017,
|
| 9161 |
2016,
|
| 9162 |
+
2015,
|
| 9163 |
+
2014
|
| 9164 |
]
|
| 9165 |
},
|
| 9166 |
"nlp.topic-modeling": {
|
|
|
|
| 9177 |
2018,
|
| 9178 |
2017,
|
| 9179 |
2016,
|
| 9180 |
+
2015,
|
| 9181 |
+
2014
|
| 9182 |
]
|
| 9183 |
},
|
| 9184 |
"probable.adaptation-domain-generalization-readme": {
|
|
|
|
| 9789 |
2018,
|
| 9790 |
2017,
|
| 9791 |
2016,
|
| 9792 |
+
2015,
|
| 9793 |
+
2014
|
| 9794 |
]
|
| 9795 |
},
|
| 9796 |
"recall.name.foundation-model": {
|
|
|
|
| 9807 |
2018,
|
| 9808 |
2017,
|
| 9809 |
2016,
|
| 9810 |
+
2015,
|
| 9811 |
+
2014
|
| 9812 |
]
|
| 9813 |
},
|
| 9814 |
"recall.name.language-model": {
|
|
|
|
| 9825 |
2018,
|
| 9826 |
2017,
|
| 9827 |
2016,
|
| 9828 |
+
2015,
|
| 9829 |
+
2014
|
| 9830 |
]
|
| 9831 |
},
|
| 9832 |
"recall.name.large-language-model": {
|
|
|
|
| 9843 |
2018,
|
| 9844 |
2017,
|
| 9845 |
2016,
|
| 9846 |
+
2015,
|
| 9847 |
+
2014
|
| 9848 |
]
|
| 9849 |
},
|
| 9850 |
"recall.name.machine-learning": {
|
|
|
|
| 9861 |
2018,
|
| 9862 |
2017,
|
| 9863 |
2016,
|
| 9864 |
+
2015,
|
| 9865 |
+
2014
|
| 9866 |
]
|
| 9867 |
},
|
| 9868 |
"recall.name.multimodal-model": {
|
|
|
|
| 9879 |
2018,
|
| 9880 |
2017,
|
| 9881 |
2016,
|
| 9882 |
+
2015,
|
| 9883 |
+
2014
|
| 9884 |
]
|
| 9885 |
},
|
| 9886 |
"recall.name.neural-network": {
|
|
|
|
| 9897 |
2018,
|
| 9898 |
2017,
|
| 9899 |
2016,
|
| 9900 |
+
2015,
|
| 9901 |
+
2014
|
| 9902 |
]
|
| 9903 |
},
|
| 9904 |
"recall.name.transformer-model": {
|
|
|
|
| 9915 |
2018,
|
| 9916 |
2017,
|
| 9917 |
2016,
|
| 9918 |
+
2015,
|
| 9919 |
+
2014
|
| 9920 |
]
|
| 9921 |
},
|
| 9922 |
"recall.player-tracking": {
|
|
|
|
| 9933 |
2018,
|
| 9934 |
2017,
|
| 9935 |
2016,
|
| 9936 |
+
2015,
|
| 9937 |
+
2014
|
| 9938 |
]
|
| 9939 |
},
|
| 9940 |
"recall.population-health-prediction": {
|
|
|
|
| 9951 |
2018,
|
| 9952 |
2017,
|
| 9953 |
2016,
|
| 9954 |
+
2015,
|
| 9955 |
+
2014
|
| 9956 |
]
|
| 9957 |
},
|
| 9958 |
"recall.power-system-forecasting": {
|
|
|
|
| 9969 |
2018,
|
| 9970 |
2017,
|
| 9971 |
2016,
|
| 9972 |
+
2015,
|
| 9973 |
+
2014
|
| 9974 |
]
|
| 9975 |
},
|
| 9976 |
"recall.social-media-analysis": {
|
|
|
|
| 9987 |
2018,
|
| 9988 |
2017,
|
| 9989 |
2016,
|
| 9990 |
+
2015,
|
| 9991 |
+
2014
|
| 9992 |
]
|
| 9993 |
},
|
| 9994 |
"recall.sports-analytics": {
|
|
|
|
| 10005 |
2018,
|
| 10006 |
2017,
|
| 10007 |
2016,
|
| 10008 |
+
2015,
|
| 10009 |
+
2014
|
| 10010 |
]
|
| 10011 |
},
|
| 10012 |
"recall.structural-health-monitoring": {
|
|
|
|
| 10023 |
2018,
|
| 10024 |
2017,
|
| 10025 |
2016,
|
| 10026 |
+
2015,
|
| 10027 |
+
2014
|
| 10028 |
]
|
| 10029 |
},
|
| 10030 |
"recall.student-performance-prediction": {
|
|
|
|
| 10041 |
2018,
|
| 10042 |
2017,
|
| 10043 |
2016,
|
| 10044 |
+
2015,
|
| 10045 |
+
2014
|
| 10046 |
]
|
| 10047 |
},
|
| 10048 |
"recall26.audio-language-model": {
|
|
|
|
| 10509 |
2018,
|
| 10510 |
2017,
|
| 10511 |
2016,
|
| 10512 |
+
2015,
|
| 10513 |
+
2014
|
| 10514 |
]
|
| 10515 |
},
|
| 10516 |
"rl.preference": {
|
|
|
|
| 10527 |
2018,
|
| 10528 |
2017,
|
| 10529 |
2016,
|
| 10530 |
+
2015,
|
| 10531 |
+
2014
|
| 10532 |
]
|
| 10533 |
},
|
| 10534 |
"rl.reinforcement-learning-from-human-feedback": {
|
|
|
|
| 10545 |
2018,
|
| 10546 |
2017,
|
| 10547 |
2016,
|
| 10548 |
+
2015,
|
| 10549 |
+
2014
|
| 10550 |
]
|
| 10551 |
},
|
| 10552 |
"rl.safe": {
|
|
|
|
| 10563 |
2018,
|
| 10564 |
2017,
|
| 10565 |
2016,
|
| 10566 |
+
2015,
|
| 10567 |
+
2014
|
| 10568 |
]
|
| 10569 |
},
|
| 10570 |
"rl.soft-actor-critic": {
|
|
|
|
| 10581 |
2018,
|
| 10582 |
2017,
|
| 10583 |
2016,
|
| 10584 |
+
2015,
|
| 10585 |
+
2014
|
| 10586 |
]
|
| 10587 |
},
|
| 10588 |
"robotics.autonomous-driving": {
|
|
|
|
| 10905 |
2018,
|
| 10906 |
2017,
|
| 10907 |
2016,
|
| 10908 |
+
2015,
|
| 10909 |
+
2014
|
| 10910 |
]
|
| 10911 |
},
|
| 10912 |
"robotics.slam": {
|
|
|
|
| 10923 |
2018,
|
| 10924 |
2017,
|
| 10925 |
2016,
|
| 10926 |
+
2015,
|
| 10927 |
+
2014
|
| 10928 |
]
|
| 10929 |
},
|
| 10930 |
"robotics.tactile-learning": {
|
|
|
|
| 10941 |
2018,
|
| 10942 |
2017,
|
| 10943 |
2016,
|
| 10944 |
+
2015,
|
| 10945 |
+
2014
|
| 10946 |
]
|
| 10947 |
},
|
| 10948 |
"robotics.teleoperation": {
|
|
|
|
| 10959 |
2018,
|
| 10960 |
2017,
|
| 10961 |
2016,
|
| 10962 |
+
2015,
|
| 10963 |
+
2014
|
| 10964 |
]
|
| 10965 |
},
|
| 10966 |
"robotics.visual-language-action": {
|
|
|
|
| 10977 |
2018,
|
| 10978 |
2017,
|
| 10979 |
2016,
|
| 10980 |
+
2015,
|
| 10981 |
+
2014
|
| 10982 |
]
|
| 10983 |
},
|
| 10984 |
"robotics.visuomotor-policy": {
|
|
|
|
| 10995 |
2018,
|
| 10996 |
2017,
|
| 10997 |
2016,
|
| 10998 |
+
2015,
|
| 10999 |
+
2014
|
| 11000 |
]
|
| 11001 |
},
|
| 11002 |
"science.astronomy": {
|
|
|
|
| 11319 |
2018,
|
| 11320 |
2017,
|
| 11321 |
2016,
|
| 11322 |
+
2015,
|
| 11323 |
+
2014
|
| 11324 |
]
|
| 11325 |
},
|
| 11326 |
"science.quantum-materials": {
|
|
|
|
| 11337 |
2018,
|
| 11338 |
2017,
|
| 11339 |
2016,
|
| 11340 |
+
2015,
|
| 11341 |
+
2014
|
| 11342 |
]
|
| 11343 |
},
|
| 11344 |
"science.quantum-physics": {
|
|
|
|
| 11355 |
2018,
|
| 11356 |
2017,
|
| 11357 |
2016,
|
| 11358 |
+
2015,
|
| 11359 |
+
2014
|
| 11360 |
]
|
| 11361 |
},
|
| 11362 |
"science.remote-sensing": {
|
|
|
|
| 11373 |
2018,
|
| 11374 |
2017,
|
| 11375 |
2016,
|
| 11376 |
+
2015,
|
| 11377 |
+
2014
|
| 11378 |
]
|
| 11379 |
},
|
| 11380 |
"science.scientific-machine-learning": {
|
|
|
|
| 11391 |
2018,
|
| 11392 |
2017,
|
| 11393 |
2016,
|
| 11394 |
+
2015,
|
| 11395 |
+
2014
|
| 11396 |
]
|
| 11397 |
},
|
| 11398 |
"science.seismic": {
|
|
|
|
| 11409 |
2018,
|
| 11410 |
2017,
|
| 11411 |
2016,
|
| 11412 |
+
2015,
|
| 11413 |
+
2014
|
| 11414 |
]
|
| 11415 |
},
|
| 11416 |
"science.turbulence": {
|
|
|
|
| 11427 |
2018,
|
| 11428 |
2017,
|
| 11429 |
2016,
|
| 11430 |
+
2015,
|
| 11431 |
+
2014
|
| 11432 |
]
|
| 11433 |
},
|
| 11434 |
"science.weather-forecasting": {
|
|
|
|
| 11445 |
2018,
|
| 11446 |
2017,
|
| 11447 |
2016,
|
| 11448 |
+
2015,
|
| 11449 |
+
2014
|
| 11450 |
]
|
| 11451 |
},
|
| 11452 |
"science.weather-nowcasting": {
|
|
|
|
| 11463 |
2018,
|
| 11464 |
2017,
|
| 11465 |
2016,
|
| 11466 |
+
2015,
|
| 11467 |
+
2014
|
| 11468 |
]
|
| 11469 |
},
|
| 11470 |
"specialized.carbon-footprint-training": {
|
|
|
|
| 12039 |
2018,
|
| 12040 |
2017,
|
| 12041 |
2016,
|
| 12042 |
+
2015,
|
| 12043 |
+
2014
|
| 12044 |
]
|
| 12045 |
},
|
| 12046 |
"timeseries.streaming": {
|
|
|
|
| 12057 |
2018,
|
| 12058 |
2017,
|
| 12059 |
2016,
|
| 12060 |
+
2015,
|
| 12061 |
+
2014
|
| 12062 |
]
|
| 12063 |
},
|
| 12064 |
"timeseries.synthetic-generation": {
|
|
|
|
| 12075 |
2018,
|
| 12076 |
2017,
|
| 12077 |
2016,
|
| 12078 |
+
2015,
|
| 12079 |
+
2014
|
| 12080 |
]
|
| 12081 |
},
|
| 12082 |
"timeseries.tabular-foundation-models": {
|
|
|
|
| 12093 |
2018,
|
| 12094 |
2017,
|
| 12095 |
2016,
|
| 12096 |
+
2015,
|
| 12097 |
+
2014
|
| 12098 |
]
|
| 12099 |
},
|
| 12100 |
"timeseries.temporal-fusion-transformer": {
|
|
|
|
| 12111 |
2018,
|
| 12112 |
2017,
|
| 12113 |
2016,
|
| 12114 |
+
2015,
|
| 12115 |
+
2014
|
| 12116 |
]
|
| 12117 |
},
|
| 12118 |
"timeseries.temporal-representation": {
|
|
|
|
| 12129 |
2018,
|
| 12130 |
2017,
|
| 12131 |
2016,
|
| 12132 |
+
2015,
|
| 12133 |
+
2014
|
| 12134 |
]
|
| 12135 |
},
|
| 12136 |
"timeseries.topic": {
|
|
|
|
| 12147 |
2018,
|
| 12148 |
2017,
|
| 12149 |
2016,
|
| 12150 |
+
2015,
|
| 12151 |
+
2014
|
| 12152 |
]
|
| 12153 |
},
|
| 12154 |
"timeseries.traffic-forecasting": {
|
|
|
|
| 12165 |
2018,
|
| 12166 |
2017,
|
| 12167 |
2016,
|
| 12168 |
+
2015,
|
| 12169 |
+
2014
|
| 12170 |
]
|
| 12171 |
},
|
| 12172 |
"timeseries.unevenly-spaced": {
|
|
|
|
| 12183 |
2018,
|
| 12184 |
2017,
|
| 12185 |
2016,
|
| 12186 |
+
2015,
|
| 12187 |
+
2014
|
| 12188 |
]
|
| 12189 |
},
|
| 12190 |
"timeseries.weather-forecasting": {
|
|
|
|
| 12201 |
2018,
|
| 12202 |
2017,
|
| 12203 |
2016,
|
| 12204 |
+
2015,
|
| 12205 |
+
2014
|
| 12206 |
]
|
| 12207 |
},
|
| 12208 |
"trust.adversarial-robustness": {
|
|
|
|
| 12507 |
2018,
|
| 12508 |
2017,
|
| 12509 |
2016,
|
| 12510 |
+
2015,
|
| 12511 |
+
2014
|
| 12512 |
]
|
| 12513 |
},
|
| 12514 |
"trust.instrumental-variable-ml": {
|
|
|
|
| 12525 |
2018,
|
| 12526 |
2017,
|
| 12527 |
2016,
|
| 12528 |
+
2015,
|
| 12529 |
+
2014
|
| 12530 |
]
|
| 12531 |
},
|
| 12532 |
"trust.interpretable-ml": {
|
|
|
|
| 12543 |
2018,
|
| 12544 |
2017,
|
| 12545 |
2016,
|
| 12546 |
+
2015,
|
| 12547 |
+
2014
|
| 12548 |
]
|
| 12549 |
},
|
| 12550 |
"trust.membership-inference": {
|
|
|
|
| 12561 |
2018,
|
| 12562 |
2017,
|
| 12563 |
2016,
|
| 12564 |
+
2015,
|
| 12565 |
+
2014
|
| 12566 |
]
|
| 12567 |
},
|
| 12568 |
"trust.ml-fairness": {
|
|
|
|
| 12579 |
2018,
|
| 12580 |
2017,
|
| 12581 |
2016,
|
| 12582 |
+
2015,
|
| 12583 |
+
2014
|
| 12584 |
]
|
| 12585 |
},
|
| 12586 |
"trust.model-calibration": {
|
|
|
|
| 12597 |
2018,
|
| 12598 |
2017,
|
| 12599 |
2016,
|
| 12600 |
+
2015,
|
| 12601 |
+
2014
|
| 12602 |
]
|
| 12603 |
},
|
| 12604 |
"trust.neuro-symbolic": {
|
|
|
|
| 12615 |
2018,
|
| 12616 |
2017,
|
| 12617 |
2016,
|
| 12618 |
+
2015,
|
| 12619 |
+
2014
|
| 12620 |
]
|
| 12621 |
},
|
| 12622 |
"trust.out-of-distribution-detection": {
|
|
|
|
| 12633 |
2018,
|
| 12634 |
2017,
|
| 12635 |
2016,
|
| 12636 |
+
2015,
|
| 12637 |
+
2014
|
| 12638 |
]
|
| 12639 |
},
|
| 12640 |
"trust.privacy-preserving-ml": {
|
|
|
|
| 12651 |
2018,
|
| 12652 |
2017,
|
| 12653 |
2016,
|
| 12654 |
+
2015,
|
| 12655 |
+
2014
|
| 12656 |
]
|
| 12657 |
},
|
| 12658 |
"trust.robustness-certification": {
|
|
|
|
| 12669 |
2018,
|
| 12670 |
2017,
|
| 12671 |
2016,
|
| 12672 |
+
2015,
|
| 12673 |
+
2014
|
| 12674 |
]
|
| 12675 |
},
|
| 12676 |
"trust.safe-reinforcement-learning": {
|
|
|
|
| 12687 |
2018,
|
| 12688 |
2017,
|
| 12689 |
2016,
|
| 12690 |
+
2015,
|
| 12691 |
+
2014
|
| 12692 |
]
|
| 12693 |
},
|
| 12694 |
"trust.shap": {
|
|
|
|
| 12705 |
2018,
|
| 12706 |
2017,
|
| 12707 |
2016,
|
| 12708 |
+
2015,
|
| 12709 |
+
2014
|
| 12710 |
]
|
| 12711 |
},
|
| 12712 |
"trust.uncertainty-quantification": {
|
|
|
|
| 12723 |
2018,
|
| 12724 |
2017,
|
| 12725 |
2016,
|
| 12726 |
+
2015,
|
| 12727 |
+
2014
|
| 12728 |
]
|
| 12729 |
},
|
| 12730 |
"vision.action-recognition": {
|
|
|
|
| 13029 |
2018,
|
| 13030 |
2017,
|
| 13031 |
2016,
|
| 13032 |
+
2015,
|
| 13033 |
+
2014
|
| 13034 |
]
|
| 13035 |
},
|
| 13036 |
"vision.pose-estimation": {
|
|
|
|
| 13047 |
2018,
|
| 13048 |
2017,
|
| 13049 |
2016,
|
| 13050 |
+
2015,
|
| 13051 |
+
2014
|
| 13052 |
]
|
| 13053 |
},
|
| 13054 |
"vision.promptable-segmentation": {
|
|
|
|
| 13065 |
2018,
|
| 13066 |
2017,
|
| 13067 |
2016,
|
| 13068 |
+
2015,
|
| 13069 |
+
2014
|
| 13070 |
]
|
| 13071 |
},
|
| 13072 |
"vision.segmentation": {
|
|
|
|
| 13083 |
2018,
|
| 13084 |
2017,
|
| 13085 |
2016,
|
| 13086 |
+
2015,
|
| 13087 |
+
2014
|
| 13088 |
]
|
| 13089 |
},
|
| 13090 |
"vision.self-supervised-vision": {
|
|
|
|
| 13101 |
2018,
|
| 13102 |
2017,
|
| 13103 |
2016,
|
| 13104 |
+
2015,
|
| 13105 |
+
2014
|
| 13106 |
]
|
| 13107 |
},
|
| 13108 |
"vision.topic-computer-vision": {
|
|
|
|
| 13119 |
2018,
|
| 13120 |
2017,
|
| 13121 |
2016,
|
| 13122 |
+
2015,
|
| 13123 |
+
2014
|
| 13124 |
]
|
| 13125 |
},
|
| 13126 |
"vision.video-generation": {
|
|
|
|
| 13137 |
2018,
|
| 13138 |
2017,
|
| 13139 |
2016,
|
| 13140 |
+
2015,
|
| 13141 |
+
2014
|
| 13142 |
]
|
| 13143 |
},
|
| 13144 |
"vision.video-understanding": {
|
|
|
|
| 13155 |
2018,
|
| 13156 |
2017,
|
| 13157 |
2016,
|
| 13158 |
+
2015,
|
| 13159 |
+
2014
|
| 13160 |
]
|
| 13161 |
},
|
| 13162 |
"vision.vision-language": {
|
|
|
|
| 13173 |
2018,
|
| 13174 |
2017,
|
| 13175 |
2016,
|
| 13176 |
+
2015,
|
| 13177 |
+
2014
|
| 13178 |
]
|
| 13179 |
},
|
| 13180 |
"vision.visual-anomaly-detection": {
|
|
|
|
| 13191 |
2018,
|
| 13192 |
2017,
|
| 13193 |
2016,
|
| 13194 |
+
2015,
|
| 13195 |
+
2014
|
| 13196 |
]
|
| 13197 |
},
|
| 13198 |
"vision.visual-localization": {
|
|
|
|
| 13209 |
2018,
|
| 13210 |
2017,
|
| 13211 |
2016,
|
| 13212 |
+
2015,
|
| 13213 |
+
2014
|
| 13214 |
]
|
| 13215 |
}
|
| 13216 |
},
|
|
|
|
| 13223 |
"end": "2026-09-24",
|
| 13224 |
"search_policy_version": 2,
|
| 13225 |
"start_year": 2008,
|
| 13226 |
+
"updated_at": "2026-11-02T20:53:55Z"
|
| 13227 |
}
|