Add GitHub ML run 20261026T171444000000Z-2ad42ae6
Browse files
coverage/20261026T171444000000Z-2ad42ae6.json
ADDED
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@@ -0,0 +1,2812 @@
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|
| 2804 |
+
"total_count": 0,
|
| 2805 |
+
"year": 2015
|
| 2806 |
+
}
|
| 2807 |
+
],
|
| 2808 |
+
"requests_used": 200,
|
| 2809 |
+
"run_id": "20261026T171444000000Z-2ad42ae6",
|
| 2810 |
+
"start_year": 2008,
|
| 2811 |
+
"started_at": "2026-10-26T17:14:44Z"
|
| 2812 |
+
}
|
data/observations/2026/10/26/20261026T171444000000Z-2ad42ae6.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
|
state/historical-sample.json
CHANGED
|
@@ -2419,7 +2419,8 @@
|
|
| 2419 |
2019,
|
| 2420 |
2018,
|
| 2421 |
2017,
|
| 2422 |
-
2016
|
|
|
|
| 2423 |
]
|
| 2424 |
},
|
| 2425 |
"applied.agricultural-ml": {
|
|
@@ -2690,7 +2691,8 @@
|
|
| 2690 |
2020,
|
| 2691 |
2019,
|
| 2692 |
2018,
|
| 2693 |
-
2017
|
|
|
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| 2694 |
]
|
| 2695 |
},
|
| 2696 |
"applied.intrusion-detection": {
|
|
@@ -2705,7 +2707,8 @@
|
|
| 2705 |
2020,
|
| 2706 |
2019,
|
| 2707 |
2018,
|
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-
2017
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|
|
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| 2709 |
]
|
| 2710 |
},
|
| 2711 |
"applied.inventory-optimization": {
|
|
@@ -2720,7 +2723,8 @@
|
|
| 2720 |
2020,
|
| 2721 |
2019,
|
| 2722 |
2018,
|
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-
2017
|
|
|
|
| 2724 |
]
|
| 2725 |
},
|
| 2726 |
"applied.learning-to-rank": {
|
|
@@ -2735,7 +2739,8 @@
|
|
| 2735 |
2020,
|
| 2736 |
2019,
|
| 2737 |
2018,
|
| 2738 |
-
2017
|
|
|
|
| 2739 |
]
|
| 2740 |
},
|
| 2741 |
"applied.malware-detection": {
|
|
@@ -2750,7 +2755,8 @@
|
|
| 2750 |
2020,
|
| 2751 |
2019,
|
| 2752 |
2018,
|
| 2753 |
-
2017
|
|
|
|
| 2754 |
]
|
| 2755 |
},
|
| 2756 |
"applied.ml-econometrics": {
|
|
@@ -2765,7 +2771,8 @@
|
|
| 2765 |
2020,
|
| 2766 |
2019,
|
| 2767 |
2018,
|
| 2768 |
-
2017
|
|
|
|
| 2769 |
]
|
| 2770 |
},
|
| 2771 |
"applied.plant-disease-detection": {
|
|
@@ -2780,7 +2787,8 @@
|
|
| 2780 |
2020,
|
| 2781 |
2019,
|
| 2782 |
2018,
|
| 2783 |
-
2017
|
|
|
|
| 2784 |
]
|
| 2785 |
},
|
| 2786 |
"applied.portfolio-optimization": {
|
|
@@ -2795,7 +2803,8 @@
|
|
| 2795 |
2020,
|
| 2796 |
2019,
|
| 2797 |
2018,
|
| 2798 |
-
2017
|
|
|
|
| 2799 |
]
|
| 2800 |
},
|
| 2801 |
"applied.predictive-maintenance": {
|
|
@@ -2810,7 +2819,8 @@
|
|
| 2810 |
2020,
|
| 2811 |
2019,
|
| 2812 |
2018,
|
| 2813 |
-
2017
|
|
|
|
| 2814 |
]
|
| 2815 |
},
|
| 2816 |
"applied.process-mining-prediction": {
|
|
@@ -2825,7 +2835,8 @@
|
|
| 2825 |
2020,
|
| 2826 |
2019,
|
| 2827 |
2018,
|
| 2828 |
-
2017
|
|
|
|
| 2829 |
]
|
| 2830 |
},
|
| 2831 |
"applied.quantitative-finance": {
|
|
@@ -2840,7 +2851,8 @@
|
|
| 2840 |
2020,
|
| 2841 |
2019,
|
| 2842 |
2018,
|
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-
2017
|
|
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]
|
| 2845 |
},
|
| 2846 |
"applied.recommender-systems": {
|
|
@@ -2855,7 +2867,8 @@
|
|
| 2855 |
2020,
|
| 2856 |
2019,
|
| 2857 |
2018,
|
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-
2017
|
|
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]
|
| 2860 |
},
|
| 2861 |
"applied.search-ranking": {
|
|
@@ -2870,7 +2883,8 @@
|
|
| 2870 |
2020,
|
| 2871 |
2019,
|
| 2872 |
2018,
|
| 2873 |
-
2017
|
|
|
|
| 2874 |
]
|
| 2875 |
},
|
| 2876 |
"applied.species-distribution-modeling": {
|
|
@@ -2885,7 +2899,8 @@
|
|
| 2885 |
2020,
|
| 2886 |
2019,
|
| 2887 |
2018,
|
| 2888 |
-
2017
|
|
|
|
| 2889 |
]
|
| 2890 |
},
|
| 2891 |
"applied.supply-chain-optimization": {
|
|
@@ -2900,7 +2915,8 @@
|
|
| 2900 |
2020,
|
| 2901 |
2019,
|
| 2902 |
2018,
|
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-
2017
|
|
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]
|
| 2905 |
},
|
| 2906 |
"applied.tabular-ml": {
|
|
@@ -2915,7 +2931,8 @@
|
|
| 2915 |
2020,
|
| 2916 |
2019,
|
| 2917 |
2018,
|
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-
2017
|
|
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]
|
| 2920 |
},
|
| 2921 |
"applied.time-series-forecasting": {
|
|
@@ -2930,7 +2947,8 @@
|
|
| 2930 |
2020,
|
| 2931 |
2019,
|
| 2932 |
2018,
|
| 2933 |
-
2017
|
|
|
|
| 2934 |
]
|
| 2935 |
},
|
| 2936 |
"applied.traffic-prediction": {
|
|
@@ -2945,7 +2963,8 @@
|
|
| 2945 |
2020,
|
| 2946 |
2019,
|
| 2947 |
2018,
|
| 2948 |
-
2017
|
|
|
|
| 2949 |
]
|
| 2950 |
},
|
| 2951 |
"applied.uplift-modeling": {
|
|
@@ -2960,7 +2979,8 @@
|
|
| 2960 |
2020,
|
| 2961 |
2019,
|
| 2962 |
2018,
|
| 2963 |
-
2017
|
|
|
|
| 2964 |
]
|
| 2965 |
},
|
| 2966 |
"audio-acoustic-event-classification": {
|
|
@@ -2976,7 +2996,8 @@
|
|
| 2976 |
2019,
|
| 2977 |
2018,
|
| 2978 |
2017,
|
| 2979 |
-
2016
|
|
|
|
| 2980 |
]
|
| 2981 |
},
|
| 2982 |
"audio-anomaly-detection": {
|
|
@@ -2992,7 +3013,8 @@
|
|
| 2992 |
2019,
|
| 2993 |
2018,
|
| 2994 |
2017,
|
| 2995 |
-
2016
|
|
|
|
| 2996 |
]
|
| 2997 |
},
|
| 2998 |
"audio-asr": {
|
|
@@ -3008,7 +3030,8 @@
|
|
| 3008 |
2019,
|
| 3009 |
2018,
|
| 3010 |
2017,
|
| 3011 |
-
2016
|
|
|
|
| 3012 |
]
|
| 3013 |
},
|
| 3014 |
"audio-audio-captioning": {
|
|
@@ -3024,7 +3047,8 @@
|
|
| 3024 |
2019,
|
| 3025 |
2018,
|
| 3026 |
2017,
|
| 3027 |
-
2016
|
|
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|
| 3028 |
]
|
| 3029 |
},
|
| 3030 |
"audio-audio-classification": {
|
|
@@ -3040,7 +3064,8 @@
|
|
| 3040 |
2019,
|
| 3041 |
2018,
|
| 3042 |
2017,
|
| 3043 |
-
2016
|
|
|
|
| 3044 |
]
|
| 3045 |
},
|
| 3046 |
"audio-audio-question-answering": {
|
|
@@ -3056,7 +3081,8 @@
|
|
| 3056 |
2019,
|
| 3057 |
2018,
|
| 3058 |
2017,
|
| 3059 |
-
2016
|
|
|
|
| 3060 |
]
|
| 3061 |
},
|
| 3062 |
"audio-audio-super-resolution": {
|
|
@@ -3679,7 +3705,8 @@
|
|
| 3679 |
2020,
|
| 3680 |
2019,
|
| 3681 |
2018,
|
| 3682 |
-
2017
|
|
|
|
| 3683 |
]
|
| 3684 |
},
|
| 3685 |
"bio.regulatory-sequence-modeling": {
|
|
@@ -3694,7 +3721,8 @@
|
|
| 3694 |
2020,
|
| 3695 |
2019,
|
| 3696 |
2018,
|
| 3697 |
-
2017
|
|
|
|
| 3698 |
]
|
| 3699 |
},
|
| 3700 |
"bio.rna-language-models": {
|
|
@@ -3709,7 +3737,8 @@
|
|
| 3709 |
2020,
|
| 3710 |
2019,
|
| 3711 |
2018,
|
| 3712 |
-
2017
|
|
|
|
| 3713 |
]
|
| 3714 |
},
|
| 3715 |
"bio.rna-structure": {
|
|
@@ -3724,7 +3753,8 @@
|
|
| 3724 |
2020,
|
| 3725 |
2019,
|
| 3726 |
2018,
|
| 3727 |
-
2017
|
|
|
|
| 3728 |
]
|
| 3729 |
},
|
| 3730 |
"bio.scrna-seq": {
|
|
@@ -3739,7 +3769,8 @@
|
|
| 3739 |
2020,
|
| 3740 |
2019,
|
| 3741 |
2018,
|
| 3742 |
-
2017
|
|
|
|
| 3743 |
]
|
| 3744 |
},
|
| 3745 |
"bio.single-cell": {
|
|
@@ -3754,7 +3785,8 @@
|
|
| 3754 |
2020,
|
| 3755 |
2019,
|
| 3756 |
2018,
|
| 3757 |
-
2017
|
|
|
|
| 3758 |
]
|
| 3759 |
},
|
| 3760 |
"bio.spatial-transcriptomics": {
|
|
@@ -3769,7 +3801,8 @@
|
|
| 3769 |
2020,
|
| 3770 |
2019,
|
| 3771 |
2018,
|
| 3772 |
-
2017
|
|
|
|
| 3773 |
]
|
| 3774 |
},
|
| 3775 |
"bio.transcriptomics": {
|
|
@@ -3784,7 +3817,8 @@
|
|
| 3784 |
2020,
|
| 3785 |
2019,
|
| 3786 |
2018,
|
| 3787 |
-
2017
|
|
|
|
| 3788 |
]
|
| 3789 |
},
|
| 3790 |
"bio.variant-effects": {
|
|
@@ -3799,7 +3833,8 @@
|
|
| 3799 |
2020,
|
| 3800 |
2019,
|
| 3801 |
2018,
|
| 3802 |
-
2017
|
|
|
|
| 3803 |
]
|
| 3804 |
},
|
| 3805 |
"chem-admet": {
|
|
@@ -4406,7 +4441,8 @@
|
|
| 4406 |
2020,
|
| 4407 |
2019,
|
| 4408 |
2018,
|
| 4409 |
-
2017
|
|
|
|
| 4410 |
]
|
| 4411 |
},
|
| 4412 |
"efficiency.model-compression": {
|
|
@@ -4421,7 +4457,8 @@
|
|
| 4421 |
2020,
|
| 4422 |
2019,
|
| 4423 |
2018,
|
| 4424 |
-
2017
|
|
|
|
| 4425 |
]
|
| 4426 |
},
|
| 4427 |
"efficiency.neural-architecture-search": {
|
|
@@ -4436,7 +4473,8 @@
|
|
| 4436 |
2020,
|
| 4437 |
2019,
|
| 4438 |
2018,
|
| 4439 |
-
2017
|
|
|
|
| 4440 |
]
|
| 4441 |
},
|
| 4442 |
"efficiency.optimizer-state-sharding": {
|
|
@@ -4451,7 +4489,8 @@
|
|
| 4451 |
2020,
|
| 4452 |
2019,
|
| 4453 |
2018,
|
| 4454 |
-
2017
|
|
|
|
| 4455 |
]
|
| 4456 |
},
|
| 4457 |
"efficiency.parameter-efficient-finetuning": {
|
|
@@ -4466,7 +4505,8 @@
|
|
| 4466 |
2020,
|
| 4467 |
2019,
|
| 4468 |
2018,
|
| 4469 |
-
2017
|
|
|
|
| 4470 |
]
|
| 4471 |
},
|
| 4472 |
"efficiency.post-training-quantization": {
|
|
@@ -4481,7 +4521,8 @@
|
|
| 4481 |
2020,
|
| 4482 |
2019,
|
| 4483 |
2018,
|
| 4484 |
-
2017
|
|
|
|
| 4485 |
]
|
| 4486 |
},
|
| 4487 |
"efficiency.pruning": {
|
|
@@ -4496,7 +4537,8 @@
|
|
| 4496 |
2020,
|
| 4497 |
2019,
|
| 4498 |
2018,
|
| 4499 |
-
2017
|
|
|
|
| 4500 |
]
|
| 4501 |
},
|
| 4502 |
"efficiency.quantization": {
|
|
@@ -4511,7 +4553,8 @@
|
|
| 4511 |
2020,
|
| 4512 |
2019,
|
| 4513 |
2018,
|
| 4514 |
-
2017
|
|
|
|
| 4515 |
]
|
| 4516 |
},
|
| 4517 |
"efficiency.quantization-aware-training": {
|
|
@@ -4526,7 +4569,8 @@
|
|
| 4526 |
2020,
|
| 4527 |
2019,
|
| 4528 |
2018,
|
| 4529 |
-
2017
|
|
|
|
| 4530 |
]
|
| 4531 |
},
|
| 4532 |
"efficiency.sparse-neural-networks": {
|
|
@@ -4541,7 +4585,8 @@
|
|
| 4541 |
2020,
|
| 4542 |
2019,
|
| 4543 |
2018,
|
| 4544 |
-
2017
|
|
|
|
| 4545 |
]
|
| 4546 |
},
|
| 4547 |
"efficiency.speculative-decoding": {
|
|
@@ -4556,7 +4601,8 @@
|
|
| 4556 |
2020,
|
| 4557 |
2019,
|
| 4558 |
2018,
|
| 4559 |
-
2017
|
|
|
|
| 4560 |
]
|
| 4561 |
},
|
| 4562 |
"gap2026.archaeology-ml": {
|
|
@@ -4843,7 +4889,8 @@
|
|
| 4843 |
2020,
|
| 4844 |
2019,
|
| 4845 |
2018,
|
| 4846 |
-
2017
|
|
|
|
| 4847 |
]
|
| 4848 |
},
|
| 4849 |
"gap2026.green-ai-energy": {
|
|
@@ -4858,7 +4905,8 @@
|
|
| 4858 |
2020,
|
| 4859 |
2019,
|
| 4860 |
2018,
|
| 4861 |
-
2017
|
|
|
|
| 4862 |
]
|
| 4863 |
},
|
| 4864 |
"gap2026.math-learned-optimization": {
|
|
@@ -4873,7 +4921,8 @@
|
|
| 4873 |
2020,
|
| 4874 |
2019,
|
| 4875 |
2018,
|
| 4876 |
-
2017
|
|
|
|
| 4877 |
]
|
| 4878 |
},
|
| 4879 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
@@ -4888,7 +4937,8 @@
|
|
| 4888 |
2020,
|
| 4889 |
2019,
|
| 4890 |
2018,
|
| 4891 |
-
2017
|
|
|
|
| 4892 |
]
|
| 4893 |
},
|
| 4894 |
"gap2026.neuroimaging-connectome": {
|
|
@@ -4903,7 +4953,8 @@
|
|
| 4903 |
2020,
|
| 4904 |
2019,
|
| 4905 |
2018,
|
| 4906 |
-
2017
|
|
|
|
| 4907 |
]
|
| 4908 |
},
|
| 4909 |
"gap2026.neuroimaging-eeg": {
|
|
@@ -4918,7 +4969,8 @@
|
|
| 4918 |
2020,
|
| 4919 |
2019,
|
| 4920 |
2018,
|
| 4921 |
-
2017
|
|
|
|
| 4922 |
]
|
| 4923 |
},
|
| 4924 |
"gap2026.neuroimaging-fmri": {
|
|
@@ -4933,7 +4985,8 @@
|
|
| 4933 |
2020,
|
| 4934 |
2019,
|
| 4935 |
2018,
|
| 4936 |
-
2017
|
|
|
|
| 4937 |
]
|
| 4938 |
},
|
| 4939 |
"gap2026.neuroimaging-neural-decoding": {
|
|
@@ -4948,7 +5001,8 @@
|
|
| 4948 |
2020,
|
| 4949 |
2019,
|
| 4950 |
2018,
|
| 4951 |
-
2017
|
|
|
|
| 4952 |
]
|
| 4953 |
},
|
| 4954 |
"gap2026.physics-differentiable-simulation": {
|
|
@@ -4963,7 +5017,8 @@
|
|
| 4963 |
2020,
|
| 4964 |
2019,
|
| 4965 |
2018,
|
| 4966 |
-
2017
|
|
|
|
| 4967 |
]
|
| 4968 |
},
|
| 4969 |
"gap2026.physics-inverse-problem": {
|
|
@@ -4978,7 +5033,8 @@
|
|
| 4978 |
2020,
|
| 4979 |
2019,
|
| 4980 |
2018,
|
| 4981 |
-
2017
|
|
|
|
| 4982 |
]
|
| 4983 |
},
|
| 4984 |
"gap2026.physics-neural-pde-solver": {
|
|
@@ -4993,7 +5049,8 @@
|
|
| 4993 |
2020,
|
| 4994 |
2019,
|
| 4995 |
2018,
|
| 4996 |
-
2017
|
|
|
|
| 4997 |
]
|
| 4998 |
},
|
| 4999 |
"gap2026.physics-quantum-ml": {
|
|
@@ -5008,7 +5065,8 @@
|
|
| 5008 |
2020,
|
| 5009 |
2019,
|
| 5010 |
2018,
|
| 5011 |
-
2017
|
|
|
|
| 5012 |
]
|
| 5013 |
},
|
| 5014 |
"general.active-learning": {
|
|
@@ -5295,7 +5353,8 @@
|
|
| 5295 |
2020,
|
| 5296 |
2019,
|
| 5297 |
2018,
|
| 5298 |
-
2017
|
|
|
|
| 5299 |
]
|
| 5300 |
},
|
| 5301 |
"general.logistic-regression": {
|
|
@@ -5310,7 +5369,8 @@
|
|
| 5310 |
2020,
|
| 5311 |
2019,
|
| 5312 |
2018,
|
| 5313 |
-
2017
|
|
|
|
| 5314 |
]
|
| 5315 |
},
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| 5316 |
"general.machine-learning-description": {
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"general.machine-learning-readme": {
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"general.metric-learning": {
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"general.model-architecture": {
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"general.multi-task-learning": {
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"general.paper-implementation": {
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"general.probabilistic-programming": {
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"general.self-supervised-learning": {
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"general.topic-artificial-intelligence": {
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"geo.building-footprints": {
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"geo.topic-earth-observation": {
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"geo.topic-geospatial": {
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"geo.topic-gis": {
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"geo.topic-remote-sensing": {
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"geo.trajectory-prediction": {
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"geo.urban-sensing": {
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"geo.wildfire-mapping": {
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"graph.e3-equivariance": {
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"multimodal.video-language-model": {
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},
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"multimodal.video-question-answering": {
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2020,
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"multimodal.video-understanding": {
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"multimodal.vision-language": {
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2020,
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"multimodal.visual-question-answering": {
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2020,
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"multimodal.vlm": {
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2020,
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"multimodal.world-models": {
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2020,
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"nlp-bm25-retrieval": {
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2020,
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"nlp.topic-modeling": {
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"probable.adaptation-domain-generalization-readme": {
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2020,
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"recall.name.foundation-model": {
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2020,
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"recall.name.language-model": {
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2020,
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"recall.name.large-language-model": {
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2020,
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"recall.name.machine-learning": {
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2020,
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},
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"recall.name.multimodal-model": {
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2020,
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"recall.name.neural-network": {
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2020,
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"recall.name.transformer-model": {
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2020,
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"recall.player-tracking": {
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2020,
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"recall.population-health-prediction": {
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"recall.power-system-forecasting": {
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2020,
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"recall.social-media-analysis": {
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"recall.sports-analytics": {
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"recall.structural-health-monitoring": {
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"recall.student-performance-prediction": {
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"recall26.audio-language-model": {
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2020,
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"rl.preference": {
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"rl.reinforcement-learning-from-human-feedback": {
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"rl.safe": {
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"rl.soft-actor-critic": {
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"robotics.autonomous-driving": {
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"robotics.tactile-learning": {
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"robotics.teleoperation": {
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"robotics.visual-language-action": {
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"robotics.visuomotor-policy": {
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"science.astronomy": {
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"science.quantum-materials": {
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"science.quantum-physics": {
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"science.scientific-machine-learning": {
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"science.seismic": {
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"science.turbulence": {
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"specialized.carbon-footprint-training": {
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"timeseries.streaming": {
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"timeseries.tabular-foundation-models": {
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"timeseries.temporal-fusion-transformer": {
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"timeseries.temporal-representation": {
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"timeseries.topic": {
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"timeseries.traffic-forecasting": {
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"timeseries.unevenly-spaced": {
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"trust.adversarial-robustness": {
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"trust.instrumental-variable-ml": {
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2020,
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"trust.interpretable-ml": {
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2020,
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"trust.membership-inference": {
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"trust.ml-fairness": {
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"trust.model-calibration": {
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"trust.neuro-symbolic": {
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"trust.out-of-distribution-detection": {
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2020,
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},
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"trust.privacy-preserving-ml": {
|
|
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2020,
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2019,
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]
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},
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"trust.robustness-certification": {
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2020,
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"trust.safe-reinforcement-learning": {
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2020,
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"trust.shap": {
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2020,
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-
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]
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},
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"trust.uncertainty-quantification": {
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2020,
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2019,
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2018,
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-
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]
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},
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"vision.action-recognition": {
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2020,
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2019,
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2018,
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-
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"vision.pose-estimation": {
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2020,
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2019,
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2018,
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-
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]
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},
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"vision.promptable-segmentation": {
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2020,
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2019,
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2018,
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-
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]
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},
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"vision.segmentation": {
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2020,
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2019,
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-
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},
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"vision.self-supervised-vision": {
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2020,
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2019,
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2018,
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-
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},
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"vision.topic-computer-vision": {
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2020,
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2019,
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]
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},
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"vision.video-generation": {
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2020,
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2019,
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2018,
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]
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},
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"vision.video-understanding": {
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2020,
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2019,
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2018,
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]
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},
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"vision.vision-language": {
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2020,
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2019,
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2018,
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-
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]
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},
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"vision.visual-anomaly-detection": {
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2020,
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2019,
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2018,
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]
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},
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"vision.visual-localization": {
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2020,
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2019,
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2018,
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-
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]
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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,
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-
"updated_at": "2026-10-
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}
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2019,
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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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"applied.agricultural-ml": {
|
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2020,
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2019,
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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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"applied.intrusion-detection": {
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2020,
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2019,
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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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"applied.inventory-optimization": {
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2020,
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2019,
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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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"applied.learning-to-rank": {
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2020,
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2019,
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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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"applied.malware-detection": {
|
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2020,
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2019,
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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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"applied.ml-econometrics": {
|
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2020,
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2019,
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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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"applied.plant-disease-detection": {
|
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2020,
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2019,
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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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"applied.portfolio-optimization": {
|
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2020,
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2019,
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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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"applied.predictive-maintenance": {
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2020,
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2019,
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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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"applied.process-mining-prediction": {
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2020,
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2019,
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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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"applied.quantitative-finance": {
|
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2020,
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2019,
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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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"applied.recommender-systems": {
|
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2020,
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2019,
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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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"applied.search-ranking": {
|
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2020,
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2019,
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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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"applied.species-distribution-modeling": {
|
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2020,
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2019,
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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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"applied.supply-chain-optimization": {
|
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2020,
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2019,
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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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"applied.tabular-ml": {
|
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2020,
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2019,
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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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"applied.time-series-forecasting": {
|
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2020,
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2019,
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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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"applied.traffic-prediction": {
|
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2020,
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2019,
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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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"applied.uplift-modeling": {
|
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2020,
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2019,
|
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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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"audio-acoustic-event-classification": {
|
|
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2019,
|
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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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"audio-anomaly-detection": {
|
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2019,
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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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"audio-asr": {
|
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2019,
|
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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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"audio-audio-captioning": {
|
|
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|
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2019,
|
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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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"audio-audio-classification": {
|
|
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2019,
|
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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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"audio-audio-question-answering": {
|
|
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|
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2019,
|
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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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"audio-audio-super-resolution": {
|
|
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2020,
|
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2019,
|
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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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"bio.regulatory-sequence-modeling": {
|
|
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|
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2020,
|
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2019,
|
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2018,
|
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+
2017,
|
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+
2016
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]
|
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},
|
| 3728 |
"bio.rna-language-models": {
|
|
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|
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2020,
|
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2019,
|
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2018,
|
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+
2017,
|
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+
2016
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]
|
| 3743 |
},
|
| 3744 |
"bio.rna-structure": {
|
|
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|
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2020,
|
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2019,
|
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2018,
|
| 3756 |
+
2017,
|
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+
2016
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]
|
| 3759 |
},
|
| 3760 |
"bio.scrna-seq": {
|
|
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|
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2020,
|
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2019,
|
| 3771 |
2018,
|
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+
2017,
|
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+
2016
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]
|
| 3775 |
},
|
| 3776 |
"bio.single-cell": {
|
|
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|
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2020,
|
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2019,
|
| 3787 |
2018,
|
| 3788 |
+
2017,
|
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+
2016
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]
|
| 3791 |
},
|
| 3792 |
"bio.spatial-transcriptomics": {
|
|
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|
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2020,
|
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2019,
|
| 3803 |
2018,
|
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+
2017,
|
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+
2016
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]
|
| 3807 |
},
|
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"bio.transcriptomics": {
|
|
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|
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2020,
|
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2019,
|
| 3819 |
2018,
|
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+
2017,
|
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+
2016
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]
|
| 3823 |
},
|
| 3824 |
"bio.variant-effects": {
|
|
|
|
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2020,
|
| 3834 |
2019,
|
| 3835 |
2018,
|
| 3836 |
+
2017,
|
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+
2016
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]
|
| 3839 |
},
|
| 3840 |
"chem-admet": {
|
|
|
|
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2020,
|
| 4442 |
2019,
|
| 4443 |
2018,
|
| 4444 |
+
2017,
|
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+
2016
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]
|
| 4447 |
},
|
| 4448 |
"efficiency.model-compression": {
|
|
|
|
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2020,
|
| 4458 |
2019,
|
| 4459 |
2018,
|
| 4460 |
+
2017,
|
| 4461 |
+
2016
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]
|
| 4463 |
},
|
| 4464 |
"efficiency.neural-architecture-search": {
|
|
|
|
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2020,
|
| 4474 |
2019,
|
| 4475 |
2018,
|
| 4476 |
+
2017,
|
| 4477 |
+
2016
|
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]
|
| 4479 |
},
|
| 4480 |
"efficiency.optimizer-state-sharding": {
|
|
|
|
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2020,
|
| 4490 |
2019,
|
| 4491 |
2018,
|
| 4492 |
+
2017,
|
| 4493 |
+
2016
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]
|
| 4495 |
},
|
| 4496 |
"efficiency.parameter-efficient-finetuning": {
|
|
|
|
| 4505 |
2020,
|
| 4506 |
2019,
|
| 4507 |
2018,
|
| 4508 |
+
2017,
|
| 4509 |
+
2016
|
| 4510 |
]
|
| 4511 |
},
|
| 4512 |
"efficiency.post-training-quantization": {
|
|
|
|
| 4521 |
2020,
|
| 4522 |
2019,
|
| 4523 |
2018,
|
| 4524 |
+
2017,
|
| 4525 |
+
2016
|
| 4526 |
]
|
| 4527 |
},
|
| 4528 |
"efficiency.pruning": {
|
|
|
|
| 4537 |
2020,
|
| 4538 |
2019,
|
| 4539 |
2018,
|
| 4540 |
+
2017,
|
| 4541 |
+
2016
|
| 4542 |
]
|
| 4543 |
},
|
| 4544 |
"efficiency.quantization": {
|
|
|
|
| 4553 |
2020,
|
| 4554 |
2019,
|
| 4555 |
2018,
|
| 4556 |
+
2017,
|
| 4557 |
+
2016
|
| 4558 |
]
|
| 4559 |
},
|
| 4560 |
"efficiency.quantization-aware-training": {
|
|
|
|
| 4569 |
2020,
|
| 4570 |
2019,
|
| 4571 |
2018,
|
| 4572 |
+
2017,
|
| 4573 |
+
2016
|
| 4574 |
]
|
| 4575 |
},
|
| 4576 |
"efficiency.sparse-neural-networks": {
|
|
|
|
| 4585 |
2020,
|
| 4586 |
2019,
|
| 4587 |
2018,
|
| 4588 |
+
2017,
|
| 4589 |
+
2016
|
| 4590 |
]
|
| 4591 |
},
|
| 4592 |
"efficiency.speculative-decoding": {
|
|
|
|
| 4601 |
2020,
|
| 4602 |
2019,
|
| 4603 |
2018,
|
| 4604 |
+
2017,
|
| 4605 |
+
2016
|
| 4606 |
]
|
| 4607 |
},
|
| 4608 |
"gap2026.archaeology-ml": {
|
|
|
|
| 4889 |
2020,
|
| 4890 |
2019,
|
| 4891 |
2018,
|
| 4892 |
+
2017,
|
| 4893 |
+
2016
|
| 4894 |
]
|
| 4895 |
},
|
| 4896 |
"gap2026.green-ai-energy": {
|
|
|
|
| 4905 |
2020,
|
| 4906 |
2019,
|
| 4907 |
2018,
|
| 4908 |
+
2017,
|
| 4909 |
+
2016
|
| 4910 |
]
|
| 4911 |
},
|
| 4912 |
"gap2026.math-learned-optimization": {
|
|
|
|
| 4921 |
2020,
|
| 4922 |
2019,
|
| 4923 |
2018,
|
| 4924 |
+
2017,
|
| 4925 |
+
2016
|
| 4926 |
]
|
| 4927 |
},
|
| 4928 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
|
|
| 4937 |
2020,
|
| 4938 |
2019,
|
| 4939 |
2018,
|
| 4940 |
+
2017,
|
| 4941 |
+
2016
|
| 4942 |
]
|
| 4943 |
},
|
| 4944 |
"gap2026.neuroimaging-connectome": {
|
|
|
|
| 4953 |
2020,
|
| 4954 |
2019,
|
| 4955 |
2018,
|
| 4956 |
+
2017,
|
| 4957 |
+
2016
|
| 4958 |
]
|
| 4959 |
},
|
| 4960 |
"gap2026.neuroimaging-eeg": {
|
|
|
|
| 4969 |
2020,
|
| 4970 |
2019,
|
| 4971 |
2018,
|
| 4972 |
+
2017,
|
| 4973 |
+
2016
|
| 4974 |
]
|
| 4975 |
},
|
| 4976 |
"gap2026.neuroimaging-fmri": {
|
|
|
|
| 4985 |
2020,
|
| 4986 |
2019,
|
| 4987 |
2018,
|
| 4988 |
+
2017,
|
| 4989 |
+
2016
|
| 4990 |
]
|
| 4991 |
},
|
| 4992 |
"gap2026.neuroimaging-neural-decoding": {
|
|
|
|
| 5001 |
2020,
|
| 5002 |
2019,
|
| 5003 |
2018,
|
| 5004 |
+
2017,
|
| 5005 |
+
2016
|
| 5006 |
]
|
| 5007 |
},
|
| 5008 |
"gap2026.physics-differentiable-simulation": {
|
|
|
|
| 5017 |
2020,
|
| 5018 |
2019,
|
| 5019 |
2018,
|
| 5020 |
+
2017,
|
| 5021 |
+
2016
|
| 5022 |
]
|
| 5023 |
},
|
| 5024 |
"gap2026.physics-inverse-problem": {
|
|
|
|
| 5033 |
2020,
|
| 5034 |
2019,
|
| 5035 |
2018,
|
| 5036 |
+
2017,
|
| 5037 |
+
2016
|
| 5038 |
]
|
| 5039 |
},
|
| 5040 |
"gap2026.physics-neural-pde-solver": {
|
|
|
|
| 5049 |
2020,
|
| 5050 |
2019,
|
| 5051 |
2018,
|
| 5052 |
+
2017,
|
| 5053 |
+
2016
|
| 5054 |
]
|
| 5055 |
},
|
| 5056 |
"gap2026.physics-quantum-ml": {
|
|
|
|
| 5065 |
2020,
|
| 5066 |
2019,
|
| 5067 |
2018,
|
| 5068 |
+
2017,
|
| 5069 |
+
2016
|
| 5070 |
]
|
| 5071 |
},
|
| 5072 |
"general.active-learning": {
|
|
|
|
| 5353 |
2020,
|
| 5354 |
2019,
|
| 5355 |
2018,
|
| 5356 |
+
2017,
|
| 5357 |
+
2016
|
| 5358 |
]
|
| 5359 |
},
|
| 5360 |
"general.logistic-regression": {
|
|
|
|
| 5369 |
2020,
|
| 5370 |
2019,
|
| 5371 |
2018,
|
| 5372 |
+
2017,
|
| 5373 |
+
2016
|
| 5374 |
]
|
| 5375 |
},
|
| 5376 |
"general.machine-learning-description": {
|
|
|
|
| 5385 |
2020,
|
| 5386 |
2019,
|
| 5387 |
2018,
|
| 5388 |
+
2017,
|
| 5389 |
+
2016
|
| 5390 |
]
|
| 5391 |
},
|
| 5392 |
"general.machine-learning-readme": {
|
|
|
|
| 5401 |
2020,
|
| 5402 |
2019,
|
| 5403 |
2018,
|
| 5404 |
+
2017,
|
| 5405 |
+
2016
|
| 5406 |
]
|
| 5407 |
},
|
| 5408 |
"general.matrix-factorization": {
|
|
|
|
| 5417 |
2020,
|
| 5418 |
2019,
|
| 5419 |
2018,
|
| 5420 |
+
2017,
|
| 5421 |
+
2016
|
| 5422 |
]
|
| 5423 |
},
|
| 5424 |
"general.meta-learning": {
|
|
|
|
| 5433 |
2020,
|
| 5434 |
2019,
|
| 5435 |
2018,
|
| 5436 |
+
2017,
|
| 5437 |
+
2016
|
| 5438 |
]
|
| 5439 |
},
|
| 5440 |
"general.metric-learning": {
|
|
|
|
| 5449 |
2020,
|
| 5450 |
2019,
|
| 5451 |
2018,
|
| 5452 |
+
2017,
|
| 5453 |
+
2016
|
| 5454 |
]
|
| 5455 |
},
|
| 5456 |
"general.model-architecture": {
|
|
|
|
| 5465 |
2020,
|
| 5466 |
2019,
|
| 5467 |
2018,
|
| 5468 |
+
2017,
|
| 5469 |
+
2016
|
| 5470 |
]
|
| 5471 |
},
|
| 5472 |
"general.multi-task-learning": {
|
|
|
|
| 5481 |
2020,
|
| 5482 |
2019,
|
| 5483 |
2018,
|
| 5484 |
+
2017,
|
| 5485 |
+
2016
|
| 5486 |
]
|
| 5487 |
},
|
| 5488 |
"general.naive-bayes": {
|
|
|
|
| 5497 |
2020,
|
| 5498 |
2019,
|
| 5499 |
2018,
|
| 5500 |
+
2017,
|
| 5501 |
+
2016
|
| 5502 |
]
|
| 5503 |
},
|
| 5504 |
"general.nearest-neighbors": {
|
|
|
|
| 5513 |
2020,
|
| 5514 |
2019,
|
| 5515 |
2018,
|
| 5516 |
+
2017,
|
| 5517 |
+
2016
|
| 5518 |
]
|
| 5519 |
},
|
| 5520 |
"general.neural-network": {
|
|
|
|
| 5529 |
2020,
|
| 5530 |
2019,
|
| 5531 |
2018,
|
| 5532 |
+
2017,
|
| 5533 |
+
2016
|
| 5534 |
]
|
| 5535 |
},
|
| 5536 |
"general.neural-processes": {
|
|
|
|
| 5545 |
2020,
|
| 5546 |
2019,
|
| 5547 |
2018,
|
| 5548 |
+
2017,
|
| 5549 |
+
2016
|
| 5550 |
]
|
| 5551 |
},
|
| 5552 |
"general.normalizing-flows": {
|
|
|
|
| 5561 |
2020,
|
| 5562 |
2019,
|
| 5563 |
2018,
|
| 5564 |
+
2017,
|
| 5565 |
+
2016
|
| 5566 |
]
|
| 5567 |
},
|
| 5568 |
"general.novel-method": {
|
|
|
|
| 5577 |
2020,
|
| 5578 |
2019,
|
| 5579 |
2018,
|
| 5580 |
+
2017,
|
| 5581 |
+
2016
|
| 5582 |
]
|
| 5583 |
},
|
| 5584 |
"general.paper-implementation": {
|
|
|
|
| 5593 |
2020,
|
| 5594 |
2019,
|
| 5595 |
2018,
|
| 5596 |
+
2017,
|
| 5597 |
+
2016
|
| 5598 |
]
|
| 5599 |
},
|
| 5600 |
"general.probabilistic-programming": {
|
|
|
|
| 5609 |
2020,
|
| 5610 |
2019,
|
| 5611 |
2018,
|
| 5612 |
+
2017,
|
| 5613 |
+
2016
|
| 5614 |
]
|
| 5615 |
},
|
| 5616 |
"general.random-forest": {
|
|
|
|
| 5625 |
2020,
|
| 5626 |
2019,
|
| 5627 |
2018,
|
| 5628 |
+
2017,
|
| 5629 |
+
2016
|
| 5630 |
]
|
| 5631 |
},
|
| 5632 |
"general.research-code": {
|
|
|
|
| 5641 |
2020,
|
| 5642 |
2019,
|
| 5643 |
2018,
|
| 5644 |
+
2017,
|
| 5645 |
+
2016
|
| 5646 |
]
|
| 5647 |
},
|
| 5648 |
"general.self-supervised-learning": {
|
|
|
|
| 5657 |
2020,
|
| 5658 |
2019,
|
| 5659 |
2018,
|
| 5660 |
+
2017,
|
| 5661 |
+
2016
|
| 5662 |
]
|
| 5663 |
},
|
| 5664 |
"general.semi-supervised-learning": {
|
|
|
|
| 5673 |
2020,
|
| 5674 |
2019,
|
| 5675 |
2018,
|
| 5676 |
+
2017,
|
| 5677 |
+
2016
|
| 5678 |
]
|
| 5679 |
},
|
| 5680 |
"general.support-vector-machine": {
|
|
|
|
| 5689 |
2020,
|
| 5690 |
2019,
|
| 5691 |
2018,
|
| 5692 |
+
2017,
|
| 5693 |
+
2016
|
| 5694 |
]
|
| 5695 |
},
|
| 5696 |
"general.topic-artificial-intelligence": {
|
|
|
|
| 5705 |
2020,
|
| 5706 |
2019,
|
| 5707 |
2018,
|
| 5708 |
+
2017,
|
| 5709 |
+
2016
|
| 5710 |
]
|
| 5711 |
},
|
| 5712 |
"general.topic-deep-learning": {
|
|
|
|
| 5721 |
2020,
|
| 5722 |
2019,
|
| 5723 |
2018,
|
| 5724 |
+
2017,
|
| 5725 |
+
2016
|
| 5726 |
]
|
| 5727 |
},
|
| 5728 |
"general.topic-machine-learning": {
|
|
|
|
| 5737 |
2020,
|
| 5738 |
2019,
|
| 5739 |
2018,
|
| 5740 |
+
2017,
|
| 5741 |
+
2016
|
| 5742 |
]
|
| 5743 |
},
|
| 5744 |
"general.transfer-learning": {
|
|
|
|
| 5753 |
2020,
|
| 5754 |
2019,
|
| 5755 |
2018,
|
| 5756 |
+
2017,
|
| 5757 |
+
2016
|
| 5758 |
]
|
| 5759 |
},
|
| 5760 |
"general.weak-supervision": {
|
|
|
|
| 5769 |
2020,
|
| 5770 |
2019,
|
| 5771 |
2018,
|
| 5772 |
+
2017,
|
| 5773 |
+
2016
|
| 5774 |
]
|
| 5775 |
},
|
| 5776 |
"geo.building-footprints": {
|
|
|
|
| 6057 |
2020,
|
| 6058 |
2019,
|
| 6059 |
2018,
|
| 6060 |
+
2017,
|
| 6061 |
+
2016
|
| 6062 |
]
|
| 6063 |
},
|
| 6064 |
"geo.sar-imagery": {
|
|
|
|
| 6073 |
2020,
|
| 6074 |
2019,
|
| 6075 |
2018,
|
| 6076 |
+
2017,
|
| 6077 |
+
2016
|
| 6078 |
]
|
| 6079 |
},
|
| 6080 |
"geo.satellite-imagery": {
|
|
|
|
| 6089 |
2020,
|
| 6090 |
2019,
|
| 6091 |
2018,
|
| 6092 |
+
2017,
|
| 6093 |
+
2016
|
| 6094 |
]
|
| 6095 |
},
|
| 6096 |
"geo.topic-earth-observation": {
|
|
|
|
| 6105 |
2020,
|
| 6106 |
2019,
|
| 6107 |
2018,
|
| 6108 |
+
2017,
|
| 6109 |
+
2016
|
| 6110 |
]
|
| 6111 |
},
|
| 6112 |
"geo.topic-geospatial": {
|
|
|
|
| 6121 |
2020,
|
| 6122 |
2019,
|
| 6123 |
2018,
|
| 6124 |
+
2017,
|
| 6125 |
+
2016
|
| 6126 |
]
|
| 6127 |
},
|
| 6128 |
"geo.topic-gis": {
|
|
|
|
| 6137 |
2020,
|
| 6138 |
2019,
|
| 6139 |
2018,
|
| 6140 |
+
2017,
|
| 6141 |
+
2016
|
| 6142 |
]
|
| 6143 |
},
|
| 6144 |
"geo.topic-remote-sensing": {
|
|
|
|
| 6153 |
2020,
|
| 6154 |
2019,
|
| 6155 |
2018,
|
| 6156 |
+
2017,
|
| 6157 |
+
2016
|
| 6158 |
]
|
| 6159 |
},
|
| 6160 |
"geo.trajectory-prediction": {
|
|
|
|
| 6169 |
2020,
|
| 6170 |
2019,
|
| 6171 |
2018,
|
| 6172 |
+
2017,
|
| 6173 |
+
2016
|
| 6174 |
]
|
| 6175 |
},
|
| 6176 |
"geo.urban-sensing": {
|
|
|
|
| 6185 |
2020,
|
| 6186 |
2019,
|
| 6187 |
2018,
|
| 6188 |
+
2017,
|
| 6189 |
+
2016
|
| 6190 |
]
|
| 6191 |
},
|
| 6192 |
"geo.wildfire-mapping": {
|
|
|
|
| 6201 |
2020,
|
| 6202 |
2019,
|
| 6203 |
2018,
|
| 6204 |
+
2017,
|
| 6205 |
+
2016
|
| 6206 |
]
|
| 6207 |
},
|
| 6208 |
"graph.e3-equivariance": {
|
|
|
|
| 6489 |
2020,
|
| 6490 |
2019,
|
| 6491 |
2018,
|
| 6492 |
+
2017,
|
| 6493 |
+
2016
|
| 6494 |
]
|
| 6495 |
},
|
| 6496 |
"graph.neural-ode-graph": {
|
|
|
|
| 6505 |
2020,
|
| 6506 |
2019,
|
| 6507 |
2018,
|
| 6508 |
+
2017,
|
| 6509 |
+
2016
|
| 6510 |
]
|
| 6511 |
},
|
| 6512 |
"graph.persistent-homology": {
|
|
|
|
| 6521 |
2020,
|
| 6522 |
2019,
|
| 6523 |
2018,
|
| 6524 |
+
2017,
|
| 6525 |
+
2016
|
| 6526 |
]
|
| 6527 |
},
|
| 6528 |
"graph.point-cloud-learning": {
|
|
|
|
| 6537 |
2020,
|
| 6538 |
2019,
|
| 6539 |
2018,
|
| 6540 |
+
2017,
|
| 6541 |
+
2016
|
| 6542 |
]
|
| 6543 |
},
|
| 6544 |
"graph.point-clouds": {
|
|
|
|
| 6553 |
2020,
|
| 6554 |
2019,
|
| 6555 |
2018,
|
| 6556 |
+
2017,
|
| 6557 |
+
2016
|
| 6558 |
]
|
| 6559 |
},
|
| 6560 |
"graph.representation-learning": {
|
|
|
|
| 6569 |
2020,
|
| 6570 |
2019,
|
| 6571 |
2018,
|
| 6572 |
+
2017,
|
| 6573 |
+
2016
|
| 6574 |
]
|
| 6575 |
},
|
| 6576 |
"graph.signal-processing": {
|
|
|
|
| 6585 |
2020,
|
| 6586 |
2019,
|
| 6587 |
2018,
|
| 6588 |
+
2017,
|
| 6589 |
+
2016
|
| 6590 |
]
|
| 6591 |
},
|
| 6592 |
"graph.temporal-learning": {
|
|
|
|
| 6601 |
2020,
|
| 6602 |
2019,
|
| 6603 |
2018,
|
| 6604 |
+
2017,
|
| 6605 |
+
2016
|
| 6606 |
]
|
| 6607 |
},
|
| 6608 |
"graph.topic-gnn": {
|
|
|
|
| 6617 |
2020,
|
| 6618 |
2019,
|
| 6619 |
2018,
|
| 6620 |
+
2017,
|
| 6621 |
+
2016
|
| 6622 |
]
|
| 6623 |
},
|
| 6624 |
"graph.topological-ml": {
|
|
|
|
| 6633 |
2020,
|
| 6634 |
2019,
|
| 6635 |
2018,
|
| 6636 |
+
2017,
|
| 6637 |
+
2016
|
| 6638 |
]
|
| 6639 |
},
|
| 6640 |
"llm-code-generation": {
|
|
|
|
| 6985 |
2020,
|
| 6986 |
2019,
|
| 6987 |
2018,
|
| 6988 |
+
2017,
|
| 6989 |
+
2016
|
| 6990 |
]
|
| 6991 |
},
|
| 6992 |
"llm.speculative-decoding": {
|
|
|
|
| 7001 |
2020,
|
| 7002 |
2019,
|
| 7003 |
2018,
|
| 7004 |
+
2017,
|
| 7005 |
+
2016
|
| 7006 |
]
|
| 7007 |
},
|
| 7008 |
"llm.synthetic-data": {
|
|
|
|
| 7017 |
2020,
|
| 7018 |
2019,
|
| 7019 |
2018,
|
| 7020 |
+
2017,
|
| 7021 |
+
2016
|
| 7022 |
]
|
| 7023 |
},
|
| 7024 |
"llm.synthetic-data-generation": {
|
|
|
|
| 7033 |
2020,
|
| 7034 |
2019,
|
| 7035 |
2018,
|
| 7036 |
+
2017,
|
| 7037 |
+
2016
|
| 7038 |
]
|
| 7039 |
},
|
| 7040 |
"llm.test-time-compute": {
|
|
|
|
| 7049 |
2020,
|
| 7050 |
2019,
|
| 7051 |
2018,
|
| 7052 |
+
2017,
|
| 7053 |
+
2016
|
| 7054 |
]
|
| 7055 |
},
|
| 7056 |
"llm.transformers": {
|
|
|
|
| 7065 |
2020,
|
| 7066 |
2019,
|
| 7067 |
2018,
|
| 7068 |
+
2017,
|
| 7069 |
+
2016
|
| 7070 |
]
|
| 7071 |
},
|
| 7072 |
"materials-battery": {
|
|
|
|
| 7465 |
2020,
|
| 7466 |
2019,
|
| 7467 |
2018,
|
| 7468 |
+
2017,
|
| 7469 |
+
2016
|
| 7470 |
]
|
| 7471 |
},
|
| 7472 |
"medical.neural-decoding": {
|
|
|
|
| 7481 |
2020,
|
| 7482 |
2019,
|
| 7483 |
2018,
|
| 7484 |
+
2017,
|
| 7485 |
+
2016
|
| 7486 |
]
|
| 7487 |
},
|
| 7488 |
"medical.neuroimaging": {
|
|
|
|
| 7497 |
2020,
|
| 7498 |
2019,
|
| 7499 |
2018,
|
| 7500 |
+
2017,
|
| 7501 |
+
2016
|
| 7502 |
]
|
| 7503 |
},
|
| 7504 |
"medical.ophthalmology": {
|
|
|
|
| 7513 |
2020,
|
| 7514 |
2019,
|
| 7515 |
2018,
|
| 7516 |
+
2017,
|
| 7517 |
+
2016
|
| 7518 |
]
|
| 7519 |
},
|
| 7520 |
"medical.pathology": {
|
|
|
|
| 7529 |
2020,
|
| 7530 |
2019,
|
| 7531 |
2018,
|
| 7532 |
+
2017,
|
| 7533 |
+
2016
|
| 7534 |
]
|
| 7535 |
},
|
| 7536 |
"medical.pathology-foundation-model": {
|
|
|
|
| 7545 |
2020,
|
| 7546 |
2019,
|
| 7547 |
2018,
|
| 7548 |
+
2017,
|
| 7549 |
+
2016
|
| 7550 |
]
|
| 7551 |
},
|
| 7552 |
"medical.patient-risk": {
|
|
|
|
| 7561 |
2020,
|
| 7562 |
2019,
|
| 7563 |
2018,
|
| 7564 |
+
2017,
|
| 7565 |
+
2016
|
| 7566 |
]
|
| 7567 |
},
|
| 7568 |
"medical.radiology": {
|
|
|
|
| 7577 |
2020,
|
| 7578 |
2019,
|
| 7579 |
2018,
|
| 7580 |
+
2017,
|
| 7581 |
+
2016
|
| 7582 |
]
|
| 7583 |
},
|
| 7584 |
"medical.survival-analysis": {
|
|
|
|
| 7593 |
2020,
|
| 7594 |
2019,
|
| 7595 |
2018,
|
| 7596 |
+
2017,
|
| 7597 |
+
2016
|
| 7598 |
]
|
| 7599 |
},
|
| 7600 |
"medical.wearable-health": {
|
|
|
|
| 7609 |
2020,
|
| 7610 |
2019,
|
| 7611 |
2018,
|
| 7612 |
+
2017,
|
| 7613 |
+
2016
|
| 7614 |
]
|
| 7615 |
},
|
| 7616 |
"multimodal.3d-generation": {
|
|
|
|
| 7897 |
2020,
|
| 7898 |
2019,
|
| 7899 |
2018,
|
| 7900 |
+
2017,
|
| 7901 |
+
2016
|
| 7902 |
]
|
| 7903 |
},
|
| 7904 |
"multimodal.video-language-model": {
|
|
|
|
| 7913 |
2020,
|
| 7914 |
2019,
|
| 7915 |
2018,
|
| 7916 |
+
2017,
|
| 7917 |
+
2016
|
| 7918 |
]
|
| 7919 |
},
|
| 7920 |
"multimodal.video-question-answering": {
|
|
|
|
| 7929 |
2020,
|
| 7930 |
2019,
|
| 7931 |
2018,
|
| 7932 |
+
2017,
|
| 7933 |
+
2016
|
| 7934 |
]
|
| 7935 |
},
|
| 7936 |
"multimodal.video-understanding": {
|
|
|
|
| 7945 |
2020,
|
| 7946 |
2019,
|
| 7947 |
2018,
|
| 7948 |
+
2017,
|
| 7949 |
+
2016
|
| 7950 |
]
|
| 7951 |
},
|
| 7952 |
"multimodal.vision-language": {
|
|
|
|
| 7961 |
2020,
|
| 7962 |
2019,
|
| 7963 |
2018,
|
| 7964 |
+
2017,
|
| 7965 |
+
2016
|
| 7966 |
]
|
| 7967 |
},
|
| 7968 |
"multimodal.visual-question-answering": {
|
|
|
|
| 7977 |
2020,
|
| 7978 |
2019,
|
| 7979 |
2018,
|
| 7980 |
+
2017,
|
| 7981 |
+
2016
|
| 7982 |
]
|
| 7983 |
},
|
| 7984 |
"multimodal.vlm": {
|
|
|
|
| 7993 |
2020,
|
| 7994 |
2019,
|
| 7995 |
2018,
|
| 7996 |
+
2017,
|
| 7997 |
+
2016
|
| 7998 |
]
|
| 7999 |
},
|
| 8000 |
"multimodal.world-models": {
|
|
|
|
| 8009 |
2020,
|
| 8010 |
2019,
|
| 8011 |
2018,
|
| 8012 |
+
2017,
|
| 8013 |
+
2016
|
| 8014 |
]
|
| 8015 |
},
|
| 8016 |
"nlp-bm25-retrieval": {
|
|
|
|
| 8409 |
2020,
|
| 8410 |
2019,
|
| 8411 |
2018,
|
| 8412 |
+
2017,
|
| 8413 |
+
2016
|
| 8414 |
]
|
| 8415 |
},
|
| 8416 |
"nlp.topic-modeling": {
|
|
|
|
| 8425 |
2020,
|
| 8426 |
2019,
|
| 8427 |
2018,
|
| 8428 |
+
2017,
|
| 8429 |
+
2016
|
| 8430 |
]
|
| 8431 |
},
|
| 8432 |
"probable.adaptation-domain-generalization-readme": {
|
|
|
|
| 8969 |
2020,
|
| 8970 |
2019,
|
| 8971 |
2018,
|
| 8972 |
+
2017,
|
| 8973 |
+
2016
|
| 8974 |
]
|
| 8975 |
},
|
| 8976 |
"recall.name.foundation-model": {
|
|
|
|
| 8985 |
2020,
|
| 8986 |
2019,
|
| 8987 |
2018,
|
| 8988 |
+
2017,
|
| 8989 |
+
2016
|
| 8990 |
]
|
| 8991 |
},
|
| 8992 |
"recall.name.language-model": {
|
|
|
|
| 9001 |
2020,
|
| 9002 |
2019,
|
| 9003 |
2018,
|
| 9004 |
+
2017,
|
| 9005 |
+
2016
|
| 9006 |
]
|
| 9007 |
},
|
| 9008 |
"recall.name.large-language-model": {
|
|
|
|
| 9017 |
2020,
|
| 9018 |
2019,
|
| 9019 |
2018,
|
| 9020 |
+
2017,
|
| 9021 |
+
2016
|
| 9022 |
]
|
| 9023 |
},
|
| 9024 |
"recall.name.machine-learning": {
|
|
|
|
| 9033 |
2020,
|
| 9034 |
2019,
|
| 9035 |
2018,
|
| 9036 |
+
2017,
|
| 9037 |
+
2016
|
| 9038 |
]
|
| 9039 |
},
|
| 9040 |
"recall.name.multimodal-model": {
|
|
|
|
| 9049 |
2020,
|
| 9050 |
2019,
|
| 9051 |
2018,
|
| 9052 |
+
2017,
|
| 9053 |
+
2016
|
| 9054 |
]
|
| 9055 |
},
|
| 9056 |
"recall.name.neural-network": {
|
|
|
|
| 9065 |
2020,
|
| 9066 |
2019,
|
| 9067 |
2018,
|
| 9068 |
+
2017,
|
| 9069 |
+
2016
|
| 9070 |
]
|
| 9071 |
},
|
| 9072 |
"recall.name.transformer-model": {
|
|
|
|
| 9081 |
2020,
|
| 9082 |
2019,
|
| 9083 |
2018,
|
| 9084 |
+
2017,
|
| 9085 |
+
2016
|
| 9086 |
]
|
| 9087 |
},
|
| 9088 |
"recall.player-tracking": {
|
|
|
|
| 9097 |
2020,
|
| 9098 |
2019,
|
| 9099 |
2018,
|
| 9100 |
+
2017,
|
| 9101 |
+
2016
|
| 9102 |
]
|
| 9103 |
},
|
| 9104 |
"recall.population-health-prediction": {
|
|
|
|
| 9113 |
2020,
|
| 9114 |
2019,
|
| 9115 |
2018,
|
| 9116 |
+
2017,
|
| 9117 |
+
2016
|
| 9118 |
]
|
| 9119 |
},
|
| 9120 |
"recall.power-system-forecasting": {
|
|
|
|
| 9129 |
2020,
|
| 9130 |
2019,
|
| 9131 |
2018,
|
| 9132 |
+
2017,
|
| 9133 |
+
2016
|
| 9134 |
]
|
| 9135 |
},
|
| 9136 |
"recall.social-media-analysis": {
|
|
|
|
| 9145 |
2020,
|
| 9146 |
2019,
|
| 9147 |
2018,
|
| 9148 |
+
2017,
|
| 9149 |
+
2016
|
| 9150 |
]
|
| 9151 |
},
|
| 9152 |
"recall.sports-analytics": {
|
|
|
|
| 9161 |
2020,
|
| 9162 |
2019,
|
| 9163 |
2018,
|
| 9164 |
+
2017,
|
| 9165 |
+
2016
|
| 9166 |
]
|
| 9167 |
},
|
| 9168 |
"recall.structural-health-monitoring": {
|
|
|
|
| 9177 |
2020,
|
| 9178 |
2019,
|
| 9179 |
2018,
|
| 9180 |
+
2017,
|
| 9181 |
+
2016
|
| 9182 |
]
|
| 9183 |
},
|
| 9184 |
"recall.student-performance-prediction": {
|
|
|
|
| 9193 |
2020,
|
| 9194 |
2019,
|
| 9195 |
2018,
|
| 9196 |
+
2017,
|
| 9197 |
+
2016
|
| 9198 |
]
|
| 9199 |
},
|
| 9200 |
"recall26.audio-language-model": {
|
|
|
|
| 9609 |
2020,
|
| 9610 |
2019,
|
| 9611 |
2018,
|
| 9612 |
+
2017,
|
| 9613 |
+
2016
|
| 9614 |
]
|
| 9615 |
},
|
| 9616 |
"rl.preference": {
|
|
|
|
| 9625 |
2020,
|
| 9626 |
2019,
|
| 9627 |
2018,
|
| 9628 |
+
2017,
|
| 9629 |
+
2016
|
| 9630 |
]
|
| 9631 |
},
|
| 9632 |
"rl.reinforcement-learning-from-human-feedback": {
|
|
|
|
| 9641 |
2020,
|
| 9642 |
2019,
|
| 9643 |
2018,
|
| 9644 |
+
2017,
|
| 9645 |
+
2016
|
| 9646 |
]
|
| 9647 |
},
|
| 9648 |
"rl.safe": {
|
|
|
|
| 9657 |
2020,
|
| 9658 |
2019,
|
| 9659 |
2018,
|
| 9660 |
+
2017,
|
| 9661 |
+
2016
|
| 9662 |
]
|
| 9663 |
},
|
| 9664 |
"rl.soft-actor-critic": {
|
|
|
|
| 9673 |
2020,
|
| 9674 |
2019,
|
| 9675 |
2018,
|
| 9676 |
+
2017,
|
| 9677 |
+
2016
|
| 9678 |
]
|
| 9679 |
},
|
| 9680 |
"robotics.autonomous-driving": {
|
|
|
|
| 9961 |
2020,
|
| 9962 |
2019,
|
| 9963 |
2018,
|
| 9964 |
+
2017,
|
| 9965 |
+
2016
|
| 9966 |
]
|
| 9967 |
},
|
| 9968 |
"robotics.slam": {
|
|
|
|
| 9977 |
2020,
|
| 9978 |
2019,
|
| 9979 |
2018,
|
| 9980 |
+
2017,
|
| 9981 |
+
2016
|
| 9982 |
]
|
| 9983 |
},
|
| 9984 |
"robotics.tactile-learning": {
|
|
|
|
| 9993 |
2020,
|
| 9994 |
2019,
|
| 9995 |
2018,
|
| 9996 |
+
2017,
|
| 9997 |
+
2016
|
| 9998 |
]
|
| 9999 |
},
|
| 10000 |
"robotics.teleoperation": {
|
|
|
|
| 10009 |
2020,
|
| 10010 |
2019,
|
| 10011 |
2018,
|
| 10012 |
+
2017,
|
| 10013 |
+
2016
|
| 10014 |
]
|
| 10015 |
},
|
| 10016 |
"robotics.visual-language-action": {
|
|
|
|
| 10025 |
2020,
|
| 10026 |
2019,
|
| 10027 |
2018,
|
| 10028 |
+
2017,
|
| 10029 |
+
2016
|
| 10030 |
]
|
| 10031 |
},
|
| 10032 |
"robotics.visuomotor-policy": {
|
|
|
|
| 10041 |
2020,
|
| 10042 |
2019,
|
| 10043 |
2018,
|
| 10044 |
+
2017,
|
| 10045 |
+
2016
|
| 10046 |
]
|
| 10047 |
},
|
| 10048 |
"science.astronomy": {
|
|
|
|
| 10329 |
2020,
|
| 10330 |
2019,
|
| 10331 |
2018,
|
| 10332 |
+
2017,
|
| 10333 |
+
2016
|
| 10334 |
]
|
| 10335 |
},
|
| 10336 |
"science.quantum-materials": {
|
|
|
|
| 10345 |
2020,
|
| 10346 |
2019,
|
| 10347 |
2018,
|
| 10348 |
+
2017,
|
| 10349 |
+
2016
|
| 10350 |
]
|
| 10351 |
},
|
| 10352 |
"science.quantum-physics": {
|
|
|
|
| 10361 |
2020,
|
| 10362 |
2019,
|
| 10363 |
2018,
|
| 10364 |
+
2017,
|
| 10365 |
+
2016
|
| 10366 |
]
|
| 10367 |
},
|
| 10368 |
"science.remote-sensing": {
|
|
|
|
| 10377 |
2020,
|
| 10378 |
2019,
|
| 10379 |
2018,
|
| 10380 |
+
2017,
|
| 10381 |
+
2016
|
| 10382 |
]
|
| 10383 |
},
|
| 10384 |
"science.scientific-machine-learning": {
|
|
|
|
| 10393 |
2020,
|
| 10394 |
2019,
|
| 10395 |
2018,
|
| 10396 |
+
2017,
|
| 10397 |
+
2016
|
| 10398 |
]
|
| 10399 |
},
|
| 10400 |
"science.seismic": {
|
|
|
|
| 10409 |
2020,
|
| 10410 |
2019,
|
| 10411 |
2018,
|
| 10412 |
+
2017,
|
| 10413 |
+
2016
|
| 10414 |
]
|
| 10415 |
},
|
| 10416 |
"science.turbulence": {
|
|
|
|
| 10425 |
2020,
|
| 10426 |
2019,
|
| 10427 |
2018,
|
| 10428 |
+
2017,
|
| 10429 |
+
2016
|
| 10430 |
]
|
| 10431 |
},
|
| 10432 |
"science.weather-forecasting": {
|
|
|
|
| 10441 |
2020,
|
| 10442 |
2019,
|
| 10443 |
2018,
|
| 10444 |
+
2017,
|
| 10445 |
+
2016
|
| 10446 |
]
|
| 10447 |
},
|
| 10448 |
"science.weather-nowcasting": {
|
|
|
|
| 10457 |
2020,
|
| 10458 |
2019,
|
| 10459 |
2018,
|
| 10460 |
+
2017,
|
| 10461 |
+
2016
|
| 10462 |
]
|
| 10463 |
},
|
| 10464 |
"specialized.carbon-footprint-training": {
|
|
|
|
| 10969 |
2020,
|
| 10970 |
2019,
|
| 10971 |
2018,
|
| 10972 |
+
2017,
|
| 10973 |
+
2016
|
| 10974 |
]
|
| 10975 |
},
|
| 10976 |
"timeseries.streaming": {
|
|
|
|
| 10985 |
2020,
|
| 10986 |
2019,
|
| 10987 |
2018,
|
| 10988 |
+
2017,
|
| 10989 |
+
2016
|
| 10990 |
]
|
| 10991 |
},
|
| 10992 |
"timeseries.synthetic-generation": {
|
|
|
|
| 11001 |
2020,
|
| 11002 |
2019,
|
| 11003 |
2018,
|
| 11004 |
+
2017,
|
| 11005 |
+
2016
|
| 11006 |
]
|
| 11007 |
},
|
| 11008 |
"timeseries.tabular-foundation-models": {
|
|
|
|
| 11017 |
2020,
|
| 11018 |
2019,
|
| 11019 |
2018,
|
| 11020 |
+
2017,
|
| 11021 |
+
2016
|
| 11022 |
]
|
| 11023 |
},
|
| 11024 |
"timeseries.temporal-fusion-transformer": {
|
|
|
|
| 11033 |
2020,
|
| 11034 |
2019,
|
| 11035 |
2018,
|
| 11036 |
+
2017,
|
| 11037 |
+
2016
|
| 11038 |
]
|
| 11039 |
},
|
| 11040 |
"timeseries.temporal-representation": {
|
|
|
|
| 11049 |
2020,
|
| 11050 |
2019,
|
| 11051 |
2018,
|
| 11052 |
+
2017,
|
| 11053 |
+
2016
|
| 11054 |
]
|
| 11055 |
},
|
| 11056 |
"timeseries.topic": {
|
|
|
|
| 11065 |
2020,
|
| 11066 |
2019,
|
| 11067 |
2018,
|
| 11068 |
+
2017,
|
| 11069 |
+
2016
|
| 11070 |
]
|
| 11071 |
},
|
| 11072 |
"timeseries.traffic-forecasting": {
|
|
|
|
| 11081 |
2020,
|
| 11082 |
2019,
|
| 11083 |
2018,
|
| 11084 |
+
2017,
|
| 11085 |
+
2016
|
| 11086 |
]
|
| 11087 |
},
|
| 11088 |
"timeseries.unevenly-spaced": {
|
|
|
|
| 11097 |
2020,
|
| 11098 |
2019,
|
| 11099 |
2018,
|
| 11100 |
+
2017,
|
| 11101 |
+
2016
|
| 11102 |
]
|
| 11103 |
},
|
| 11104 |
"timeseries.weather-forecasting": {
|
|
|
|
| 11113 |
2020,
|
| 11114 |
2019,
|
| 11115 |
2018,
|
| 11116 |
+
2017,
|
| 11117 |
+
2016
|
| 11118 |
]
|
| 11119 |
},
|
| 11120 |
"trust.adversarial-robustness": {
|
|
|
|
| 11385 |
2020,
|
| 11386 |
2019,
|
| 11387 |
2018,
|
| 11388 |
+
2017,
|
| 11389 |
+
2016
|
| 11390 |
]
|
| 11391 |
},
|
| 11392 |
"trust.instrumental-variable-ml": {
|
|
|
|
| 11401 |
2020,
|
| 11402 |
2019,
|
| 11403 |
2018,
|
| 11404 |
+
2017,
|
| 11405 |
+
2016
|
| 11406 |
]
|
| 11407 |
},
|
| 11408 |
"trust.interpretable-ml": {
|
|
|
|
| 11417 |
2020,
|
| 11418 |
2019,
|
| 11419 |
2018,
|
| 11420 |
+
2017,
|
| 11421 |
+
2016
|
| 11422 |
]
|
| 11423 |
},
|
| 11424 |
"trust.membership-inference": {
|
|
|
|
| 11433 |
2020,
|
| 11434 |
2019,
|
| 11435 |
2018,
|
| 11436 |
+
2017,
|
| 11437 |
+
2016
|
| 11438 |
]
|
| 11439 |
},
|
| 11440 |
"trust.ml-fairness": {
|
|
|
|
| 11449 |
2020,
|
| 11450 |
2019,
|
| 11451 |
2018,
|
| 11452 |
+
2017,
|
| 11453 |
+
2016
|
| 11454 |
]
|
| 11455 |
},
|
| 11456 |
"trust.model-calibration": {
|
|
|
|
| 11465 |
2020,
|
| 11466 |
2019,
|
| 11467 |
2018,
|
| 11468 |
+
2017,
|
| 11469 |
+
2016
|
| 11470 |
]
|
| 11471 |
},
|
| 11472 |
"trust.neuro-symbolic": {
|
|
|
|
| 11481 |
2020,
|
| 11482 |
2019,
|
| 11483 |
2018,
|
| 11484 |
+
2017,
|
| 11485 |
+
2016
|
| 11486 |
]
|
| 11487 |
},
|
| 11488 |
"trust.out-of-distribution-detection": {
|
|
|
|
| 11497 |
2020,
|
| 11498 |
2019,
|
| 11499 |
2018,
|
| 11500 |
+
2017,
|
| 11501 |
+
2016
|
| 11502 |
]
|
| 11503 |
},
|
| 11504 |
"trust.privacy-preserving-ml": {
|
|
|
|
| 11513 |
2020,
|
| 11514 |
2019,
|
| 11515 |
2018,
|
| 11516 |
+
2017,
|
| 11517 |
+
2016
|
| 11518 |
]
|
| 11519 |
},
|
| 11520 |
"trust.robustness-certification": {
|
|
|
|
| 11529 |
2020,
|
| 11530 |
2019,
|
| 11531 |
2018,
|
| 11532 |
+
2017,
|
| 11533 |
+
2016
|
| 11534 |
]
|
| 11535 |
},
|
| 11536 |
"trust.safe-reinforcement-learning": {
|
|
|
|
| 11545 |
2020,
|
| 11546 |
2019,
|
| 11547 |
2018,
|
| 11548 |
+
2017,
|
| 11549 |
+
2016
|
| 11550 |
]
|
| 11551 |
},
|
| 11552 |
"trust.shap": {
|
|
|
|
| 11561 |
2020,
|
| 11562 |
2019,
|
| 11563 |
2018,
|
| 11564 |
+
2017,
|
| 11565 |
+
2016
|
| 11566 |
]
|
| 11567 |
},
|
| 11568 |
"trust.uncertainty-quantification": {
|
|
|
|
| 11577 |
2020,
|
| 11578 |
2019,
|
| 11579 |
2018,
|
| 11580 |
+
2017,
|
| 11581 |
+
2016
|
| 11582 |
]
|
| 11583 |
},
|
| 11584 |
"vision.action-recognition": {
|
|
|
|
| 11849 |
2020,
|
| 11850 |
2019,
|
| 11851 |
2018,
|
| 11852 |
+
2017,
|
| 11853 |
+
2016
|
| 11854 |
]
|
| 11855 |
},
|
| 11856 |
"vision.pose-estimation": {
|
|
|
|
| 11865 |
2020,
|
| 11866 |
2019,
|
| 11867 |
2018,
|
| 11868 |
+
2017,
|
| 11869 |
+
2016
|
| 11870 |
]
|
| 11871 |
},
|
| 11872 |
"vision.promptable-segmentation": {
|
|
|
|
| 11881 |
2020,
|
| 11882 |
2019,
|
| 11883 |
2018,
|
| 11884 |
+
2017,
|
| 11885 |
+
2016
|
| 11886 |
]
|
| 11887 |
},
|
| 11888 |
"vision.segmentation": {
|
|
|
|
| 11897 |
2020,
|
| 11898 |
2019,
|
| 11899 |
2018,
|
| 11900 |
+
2017,
|
| 11901 |
+
2016
|
| 11902 |
]
|
| 11903 |
},
|
| 11904 |
"vision.self-supervised-vision": {
|
|
|
|
| 11913 |
2020,
|
| 11914 |
2019,
|
| 11915 |
2018,
|
| 11916 |
+
2017,
|
| 11917 |
+
2016
|
| 11918 |
]
|
| 11919 |
},
|
| 11920 |
"vision.topic-computer-vision": {
|
|
|
|
| 11929 |
2020,
|
| 11930 |
2019,
|
| 11931 |
2018,
|
| 11932 |
+
2017,
|
| 11933 |
+
2016
|
| 11934 |
]
|
| 11935 |
},
|
| 11936 |
"vision.video-generation": {
|
|
|
|
| 11945 |
2020,
|
| 11946 |
2019,
|
| 11947 |
2018,
|
| 11948 |
+
2017,
|
| 11949 |
+
2016
|
| 11950 |
]
|
| 11951 |
},
|
| 11952 |
"vision.video-understanding": {
|
|
|
|
| 11961 |
2020,
|
| 11962 |
2019,
|
| 11963 |
2018,
|
| 11964 |
+
2017,
|
| 11965 |
+
2016
|
| 11966 |
]
|
| 11967 |
},
|
| 11968 |
"vision.vision-language": {
|
|
|
|
| 11977 |
2020,
|
| 11978 |
2019,
|
| 11979 |
2018,
|
| 11980 |
+
2017,
|
| 11981 |
+
2016
|
| 11982 |
]
|
| 11983 |
},
|
| 11984 |
"vision.visual-anomaly-detection": {
|
|
|
|
| 11993 |
2020,
|
| 11994 |
2019,
|
| 11995 |
2018,
|
| 11996 |
+
2017,
|
| 11997 |
+
2016
|
| 11998 |
]
|
| 11999 |
},
|
| 12000 |
"vision.visual-localization": {
|
|
|
|
| 12009 |
2020,
|
| 12010 |
2019,
|
| 12011 |
2018,
|
| 12012 |
+
2017,
|
| 12013 |
+
2016
|
| 12014 |
]
|
| 12015 |
}
|
| 12016 |
},
|
|
|
|
| 12023 |
"end": "2026-09-24",
|
| 12024 |
"search_policy_version": 2,
|
| 12025 |
"start_year": 2008,
|
| 12026 |
+
"updated_at": "2026-10-26T17:14:44Z"
|
| 12027 |
}
|