Add GitHub ML run 20261030T170526000000Z-e5e911d9
Browse files
coverage/20261030T170526000000Z-e5e911d9.json
ADDED
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@@ -0,0 +1,2812 @@
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| 2806 |
+
}
|
| 2807 |
+
],
|
| 2808 |
+
"requests_used": 200,
|
| 2809 |
+
"run_id": "20261030T170526000000Z-e5e911d9",
|
| 2810 |
+
"start_year": 2008,
|
| 2811 |
+
"started_at": "2026-10-30T17:05:26Z"
|
| 2812 |
+
}
|
data/observations/2026/10/30/20261030T170526000000Z-e5e911d9.jsonl
ADDED
|
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|
|
|
state/historical-sample.json
CHANGED
|
@@ -2420,7 +2420,8 @@
|
|
| 2420 |
2018,
|
| 2421 |
2017,
|
| 2422 |
2016,
|
| 2423 |
-
2015
|
|
|
|
| 2424 |
]
|
| 2425 |
},
|
| 2426 |
"applied.agricultural-ml": {
|
|
@@ -2708,7 +2709,8 @@
|
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2019,
|
| 2709 |
2018,
|
| 2710 |
2017,
|
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-
2016
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|
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]
|
| 2713 |
},
|
| 2714 |
"applied.intrusion-detection": {
|
|
@@ -2724,7 +2726,8 @@
|
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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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]
|
| 2729 |
},
|
| 2730 |
"applied.inventory-optimization": {
|
|
@@ -2740,7 +2743,8 @@
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| 2740 |
2019,
|
| 2741 |
2018,
|
| 2742 |
2017,
|
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-
2016
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|
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|
| 2744 |
]
|
| 2745 |
},
|
| 2746 |
"applied.learning-to-rank": {
|
|
@@ -2756,7 +2760,8 @@
|
|
| 2756 |
2019,
|
| 2757 |
2018,
|
| 2758 |
2017,
|
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-
2016
|
|
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|
| 2760 |
]
|
| 2761 |
},
|
| 2762 |
"applied.malware-detection": {
|
|
@@ -2772,7 +2777,8 @@
|
|
| 2772 |
2019,
|
| 2773 |
2018,
|
| 2774 |
2017,
|
| 2775 |
-
2016
|
|
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]
|
| 2777 |
},
|
| 2778 |
"applied.ml-econometrics": {
|
|
@@ -2788,7 +2794,8 @@
|
|
| 2788 |
2019,
|
| 2789 |
2018,
|
| 2790 |
2017,
|
| 2791 |
-
2016
|
|
|
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| 2792 |
]
|
| 2793 |
},
|
| 2794 |
"applied.plant-disease-detection": {
|
|
@@ -2804,7 +2811,8 @@
|
|
| 2804 |
2019,
|
| 2805 |
2018,
|
| 2806 |
2017,
|
| 2807 |
-
2016
|
|
|
|
| 2808 |
]
|
| 2809 |
},
|
| 2810 |
"applied.portfolio-optimization": {
|
|
@@ -2820,7 +2828,8 @@
|
|
| 2820 |
2019,
|
| 2821 |
2018,
|
| 2822 |
2017,
|
| 2823 |
-
2016
|
|
|
|
| 2824 |
]
|
| 2825 |
},
|
| 2826 |
"applied.predictive-maintenance": {
|
|
@@ -2836,7 +2845,8 @@
|
|
| 2836 |
2019,
|
| 2837 |
2018,
|
| 2838 |
2017,
|
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-
2016
|
|
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]
|
| 2841 |
},
|
| 2842 |
"applied.process-mining-prediction": {
|
|
@@ -2852,7 +2862,8 @@
|
|
| 2852 |
2019,
|
| 2853 |
2018,
|
| 2854 |
2017,
|
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-
2016
|
|
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|
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]
|
| 2857 |
},
|
| 2858 |
"applied.quantitative-finance": {
|
|
@@ -2868,7 +2879,8 @@
|
|
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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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]
|
| 2873 |
},
|
| 2874 |
"applied.recommender-systems": {
|
|
@@ -2884,7 +2896,8 @@
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2019,
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2018,
|
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2017,
|
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-
2016
|
|
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| 2888 |
]
|
| 2889 |
},
|
| 2890 |
"applied.search-ranking": {
|
|
@@ -2900,7 +2913,8 @@
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| 2900 |
2019,
|
| 2901 |
2018,
|
| 2902 |
2017,
|
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-
2016
|
|
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]
|
| 2905 |
},
|
| 2906 |
"applied.species-distribution-modeling": {
|
|
@@ -2916,7 +2930,8 @@
|
|
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2019,
|
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2018,
|
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2017,
|
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-
2016
|
|
|
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]
|
| 2921 |
},
|
| 2922 |
"applied.supply-chain-optimization": {
|
|
@@ -2932,7 +2947,8 @@
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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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]
|
| 2937 |
},
|
| 2938 |
"applied.tabular-ml": {
|
|
@@ -2948,7 +2964,8 @@
|
|
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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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},
|
| 2954 |
"applied.time-series-forecasting": {
|
|
@@ -2964,7 +2981,8 @@
|
|
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2019,
|
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2018,
|
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2017,
|
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-
2016
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| 2968 |
]
|
| 2969 |
},
|
| 2970 |
"applied.traffic-prediction": {
|
|
@@ -2980,7 +2998,8 @@
|
|
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2019,
|
| 2981 |
2018,
|
| 2982 |
2017,
|
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-
2016
|
|
|
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| 2984 |
]
|
| 2985 |
},
|
| 2986 |
"applied.uplift-modeling": {
|
|
@@ -2996,7 +3015,8 @@
|
|
| 2996 |
2019,
|
| 2997 |
2018,
|
| 2998 |
2017,
|
| 2999 |
-
2016
|
|
|
|
| 3000 |
]
|
| 3001 |
},
|
| 3002 |
"audio-acoustic-event-classification": {
|
|
@@ -3013,7 +3033,8 @@
|
|
| 3013 |
2018,
|
| 3014 |
2017,
|
| 3015 |
2016,
|
| 3016 |
-
2015
|
|
|
|
| 3017 |
]
|
| 3018 |
},
|
| 3019 |
"audio-anomaly-detection": {
|
|
@@ -3030,7 +3051,8 @@
|
|
| 3030 |
2018,
|
| 3031 |
2017,
|
| 3032 |
2016,
|
| 3033 |
-
2015
|
|
|
|
| 3034 |
]
|
| 3035 |
},
|
| 3036 |
"audio-asr": {
|
|
@@ -3047,7 +3069,8 @@
|
|
| 3047 |
2018,
|
| 3048 |
2017,
|
| 3049 |
2016,
|
| 3050 |
-
2015
|
|
|
|
| 3051 |
]
|
| 3052 |
},
|
| 3053 |
"audio-audio-captioning": {
|
|
@@ -3064,7 +3087,8 @@
|
|
| 3064 |
2018,
|
| 3065 |
2017,
|
| 3066 |
2016,
|
| 3067 |
-
2015
|
|
|
|
| 3068 |
]
|
| 3069 |
},
|
| 3070 |
"audio-audio-classification": {
|
|
@@ -3081,7 +3105,8 @@
|
|
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2018,
|
| 3082 |
2017,
|
| 3083 |
2016,
|
| 3084 |
-
2015
|
|
|
|
| 3085 |
]
|
| 3086 |
},
|
| 3087 |
"audio-audio-question-answering": {
|
|
@@ -3098,7 +3123,8 @@
|
|
| 3098 |
2018,
|
| 3099 |
2017,
|
| 3100 |
2016,
|
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-
2015
|
|
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|
| 3102 |
]
|
| 3103 |
},
|
| 3104 |
"audio-audio-super-resolution": {
|
|
@@ -3760,7 +3786,8 @@
|
|
| 3760 |
2019,
|
| 3761 |
2018,
|
| 3762 |
2017,
|
| 3763 |
-
2016
|
|
|
|
| 3764 |
]
|
| 3765 |
},
|
| 3766 |
"bio.regulatory-sequence-modeling": {
|
|
@@ -3776,7 +3803,8 @@
|
|
| 3776 |
2019,
|
| 3777 |
2018,
|
| 3778 |
2017,
|
| 3779 |
-
2016
|
|
|
|
| 3780 |
]
|
| 3781 |
},
|
| 3782 |
"bio.rna-language-models": {
|
|
@@ -3792,7 +3820,8 @@
|
|
| 3792 |
2019,
|
| 3793 |
2018,
|
| 3794 |
2017,
|
| 3795 |
-
2016
|
|
|
|
| 3796 |
]
|
| 3797 |
},
|
| 3798 |
"bio.rna-structure": {
|
|
@@ -3808,7 +3837,8 @@
|
|
| 3808 |
2019,
|
| 3809 |
2018,
|
| 3810 |
2017,
|
| 3811 |
-
2016
|
|
|
|
| 3812 |
]
|
| 3813 |
},
|
| 3814 |
"bio.scrna-seq": {
|
|
@@ -3824,7 +3854,8 @@
|
|
| 3824 |
2019,
|
| 3825 |
2018,
|
| 3826 |
2017,
|
| 3827 |
-
2016
|
|
|
|
| 3828 |
]
|
| 3829 |
},
|
| 3830 |
"bio.single-cell": {
|
|
@@ -3840,7 +3871,8 @@
|
|
| 3840 |
2019,
|
| 3841 |
2018,
|
| 3842 |
2017,
|
| 3843 |
-
2016
|
|
|
|
| 3844 |
]
|
| 3845 |
},
|
| 3846 |
"bio.spatial-transcriptomics": {
|
|
@@ -3856,7 +3888,8 @@
|
|
| 3856 |
2019,
|
| 3857 |
2018,
|
| 3858 |
2017,
|
| 3859 |
-
2016
|
|
|
|
| 3860 |
]
|
| 3861 |
},
|
| 3862 |
"bio.transcriptomics": {
|
|
@@ -3872,7 +3905,8 @@
|
|
| 3872 |
2019,
|
| 3873 |
2018,
|
| 3874 |
2017,
|
| 3875 |
-
2016
|
|
|
|
| 3876 |
]
|
| 3877 |
},
|
| 3878 |
"bio.variant-effects": {
|
|
@@ -3888,7 +3922,8 @@
|
|
| 3888 |
2019,
|
| 3889 |
2018,
|
| 3890 |
2017,
|
| 3891 |
-
2016
|
|
|
|
| 3892 |
]
|
| 3893 |
},
|
| 3894 |
"chem-admet": {
|
|
@@ -4533,7 +4568,8 @@
|
|
| 4533 |
2019,
|
| 4534 |
2018,
|
| 4535 |
2017,
|
| 4536 |
-
2016
|
|
|
|
| 4537 |
]
|
| 4538 |
},
|
| 4539 |
"efficiency.model-compression": {
|
|
@@ -4549,7 +4585,8 @@
|
|
| 4549 |
2019,
|
| 4550 |
2018,
|
| 4551 |
2017,
|
| 4552 |
-
2016
|
|
|
|
| 4553 |
]
|
| 4554 |
},
|
| 4555 |
"efficiency.neural-architecture-search": {
|
|
@@ -4565,7 +4602,8 @@
|
|
| 4565 |
2019,
|
| 4566 |
2018,
|
| 4567 |
2017,
|
| 4568 |
-
2016
|
|
|
|
| 4569 |
]
|
| 4570 |
},
|
| 4571 |
"efficiency.optimizer-state-sharding": {
|
|
@@ -4581,7 +4619,8 @@
|
|
| 4581 |
2019,
|
| 4582 |
2018,
|
| 4583 |
2017,
|
| 4584 |
-
2016
|
|
|
|
| 4585 |
]
|
| 4586 |
},
|
| 4587 |
"efficiency.parameter-efficient-finetuning": {
|
|
@@ -4597,7 +4636,8 @@
|
|
| 4597 |
2019,
|
| 4598 |
2018,
|
| 4599 |
2017,
|
| 4600 |
-
2016
|
|
|
|
| 4601 |
]
|
| 4602 |
},
|
| 4603 |
"efficiency.post-training-quantization": {
|
|
@@ -4613,7 +4653,8 @@
|
|
| 4613 |
2019,
|
| 4614 |
2018,
|
| 4615 |
2017,
|
| 4616 |
-
2016
|
|
|
|
| 4617 |
]
|
| 4618 |
},
|
| 4619 |
"efficiency.pruning": {
|
|
@@ -4629,7 +4670,8 @@
|
|
| 4629 |
2019,
|
| 4630 |
2018,
|
| 4631 |
2017,
|
| 4632 |
-
2016
|
|
|
|
| 4633 |
]
|
| 4634 |
},
|
| 4635 |
"efficiency.quantization": {
|
|
@@ -4645,7 +4687,8 @@
|
|
| 4645 |
2019,
|
| 4646 |
2018,
|
| 4647 |
2017,
|
| 4648 |
-
2016
|
|
|
|
| 4649 |
]
|
| 4650 |
},
|
| 4651 |
"efficiency.quantization-aware-training": {
|
|
@@ -4661,7 +4704,8 @@
|
|
| 4661 |
2019,
|
| 4662 |
2018,
|
| 4663 |
2017,
|
| 4664 |
-
2016
|
|
|
|
| 4665 |
]
|
| 4666 |
},
|
| 4667 |
"efficiency.sparse-neural-networks": {
|
|
@@ -4677,7 +4721,8 @@
|
|
| 4677 |
2019,
|
| 4678 |
2018,
|
| 4679 |
2017,
|
| 4680 |
-
2016
|
|
|
|
| 4681 |
]
|
| 4682 |
},
|
| 4683 |
"efficiency.speculative-decoding": {
|
|
@@ -4693,7 +4738,8 @@
|
|
| 4693 |
2019,
|
| 4694 |
2018,
|
| 4695 |
2017,
|
| 4696 |
-
2016
|
|
|
|
| 4697 |
]
|
| 4698 |
},
|
| 4699 |
"gap2026.archaeology-ml": {
|
|
@@ -4998,7 +5044,8 @@
|
|
| 4998 |
2019,
|
| 4999 |
2018,
|
| 5000 |
2017,
|
| 5001 |
-
2016
|
|
|
|
| 5002 |
]
|
| 5003 |
},
|
| 5004 |
"gap2026.green-ai-energy": {
|
|
@@ -5014,7 +5061,8 @@
|
|
| 5014 |
2019,
|
| 5015 |
2018,
|
| 5016 |
2017,
|
| 5017 |
-
2016
|
|
|
|
| 5018 |
]
|
| 5019 |
},
|
| 5020 |
"gap2026.math-learned-optimization": {
|
|
@@ -5030,7 +5078,8 @@
|
|
| 5030 |
2019,
|
| 5031 |
2018,
|
| 5032 |
2017,
|
| 5033 |
-
2016
|
|
|
|
| 5034 |
]
|
| 5035 |
},
|
| 5036 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
@@ -5046,7 +5095,8 @@
|
|
| 5046 |
2019,
|
| 5047 |
2018,
|
| 5048 |
2017,
|
| 5049 |
-
2016
|
|
|
|
| 5050 |
]
|
| 5051 |
},
|
| 5052 |
"gap2026.neuroimaging-connectome": {
|
|
@@ -5062,7 +5112,8 @@
|
|
| 5062 |
2019,
|
| 5063 |
2018,
|
| 5064 |
2017,
|
| 5065 |
-
2016
|
|
|
|
| 5066 |
]
|
| 5067 |
},
|
| 5068 |
"gap2026.neuroimaging-eeg": {
|
|
@@ -5078,7 +5129,8 @@
|
|
| 5078 |
2019,
|
| 5079 |
2018,
|
| 5080 |
2017,
|
| 5081 |
-
2016
|
|
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|
| 5082 |
]
|
| 5083 |
},
|
| 5084 |
"gap2026.neuroimaging-fmri": {
|
|
@@ -5094,7 +5146,8 @@
|
|
| 5094 |
2019,
|
| 5095 |
2018,
|
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2017,
|
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-
2016
|
|
|
|
| 5098 |
]
|
| 5099 |
},
|
| 5100 |
"gap2026.neuroimaging-neural-decoding": {
|
|
@@ -5110,7 +5163,8 @@
|
|
| 5110 |
2019,
|
| 5111 |
2018,
|
| 5112 |
2017,
|
| 5113 |
-
2016
|
|
|
|
| 5114 |
]
|
| 5115 |
},
|
| 5116 |
"gap2026.physics-differentiable-simulation": {
|
|
@@ -5126,7 +5180,8 @@
|
|
| 5126 |
2019,
|
| 5127 |
2018,
|
| 5128 |
2017,
|
| 5129 |
-
2016
|
|
|
|
| 5130 |
]
|
| 5131 |
},
|
| 5132 |
"gap2026.physics-inverse-problem": {
|
|
@@ -5142,7 +5197,8 @@
|
|
| 5142 |
2019,
|
| 5143 |
2018,
|
| 5144 |
2017,
|
| 5145 |
-
2016
|
|
|
|
| 5146 |
]
|
| 5147 |
},
|
| 5148 |
"gap2026.physics-neural-pde-solver": {
|
|
@@ -5158,7 +5214,8 @@
|
|
| 5158 |
2019,
|
| 5159 |
2018,
|
| 5160 |
2017,
|
| 5161 |
-
2016
|
|
|
|
| 5162 |
]
|
| 5163 |
},
|
| 5164 |
"gap2026.physics-quantum-ml": {
|
|
@@ -5174,7 +5231,8 @@
|
|
| 5174 |
2019,
|
| 5175 |
2018,
|
| 5176 |
2017,
|
| 5177 |
-
2016
|
|
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|
| 5178 |
]
|
| 5179 |
},
|
| 5180 |
"general.active-learning": {
|
|
@@ -5479,7 +5537,8 @@
|
|
| 5479 |
2019,
|
| 5480 |
2018,
|
| 5481 |
2017,
|
| 5482 |
-
2016
|
|
|
|
| 5483 |
]
|
| 5484 |
},
|
| 5485 |
"general.logistic-regression": {
|
|
@@ -5495,7 +5554,8 @@
|
|
| 5495 |
2019,
|
| 5496 |
2018,
|
| 5497 |
2017,
|
| 5498 |
-
2016
|
|
|
|
| 5499 |
]
|
| 5500 |
},
|
| 5501 |
"general.machine-learning-description": {
|
|
@@ -5511,7 +5571,8 @@
|
|
| 5511 |
2019,
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"general.probabilistic-programming": {
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"general.topic-artificial-intelligence": {
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"geo.topic-geospatial": {
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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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"multimodal.video-question-answering": {
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2019,
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"multimodal.vision-language": {
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"multimodal.vlm": {
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"nlp.topic-modeling": {
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"probable.adaptation-domain-generalization-readme": {
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"recall.name.foundation-model": {
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2019,
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"recall.name.language-model": {
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2019,
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"recall.name.large-language-model": {
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2019,
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"recall.name.machine-learning": {
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"recall.name.multimodal-model": {
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"recall.name.neural-network": {
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"recall.name.transformer-model": {
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"recall.player-tracking": {
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"recall.population-health-prediction": {
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"recall.power-system-forecasting": {
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"recall.social-media-analysis": {
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"recall.sports-analytics": {
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"recall.structural-health-monitoring": {
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"recall.student-performance-prediction": {
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"recall26.audio-language-model": {
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"rl.reinforcement-learning-from-human-feedback": {
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"rl.soft-actor-critic": {
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"robotics.autonomous-driving": {
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"robotics.tactile-learning": {
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"robotics.teleoperation": {
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"robotics.visual-language-action": {
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"robotics.visuomotor-policy": {
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"science.quantum-materials": {
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"science.seismic": {
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"specialized.carbon-footprint-training": {
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"timeseries.topic": {
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"timeseries.traffic-forecasting": {
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"trust.adversarial-robustness": {
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"trust.instrumental-variable-ml": {
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"trust.interpretable-ml": {
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"trust.membership-inference": {
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"trust.ml-fairness": {
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"trust.neuro-symbolic": {
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"trust.out-of-distribution-detection": {
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"trust.privacy-preserving-ml": {
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},
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"trust.robustness-certification": {
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2019,
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"trust.safe-reinforcement-learning": {
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2019,
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},
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"trust.shap": {
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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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"trust.uncertainty-quantification": {
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2019,
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2018,
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2017,
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-
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]
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},
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"vision.action-recognition": {
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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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2019,
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2018,
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-
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]
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"vision.promptable-segmentation": {
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2019,
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2018,
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-
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]
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"vision.segmentation": {
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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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2019,
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2018,
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},
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"vision.topic-computer-vision": {
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2019,
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2018,
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]
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},
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"vision.video-generation": {
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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.video-understanding": {
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2019,
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2018,
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2017,
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-
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]
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},
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"vision.vision-language": {
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2019,
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2018,
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2017,
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-
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]
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},
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"vision.visual-anomaly-detection": {
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2019,
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2018,
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2017,
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-
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]
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},
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"vision.visual-localization": {
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2019,
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2018,
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2017,
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-
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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,
|
| 12426 |
-
"updated_at": "2026-10-
|
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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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},
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"applied.agricultural-ml": {
|
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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.intrusion-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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"applied.inventory-optimization": {
|
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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.learning-to-rank": {
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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.malware-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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"applied.ml-econometrics": {
|
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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.plant-disease-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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"applied.portfolio-optimization": {
|
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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.predictive-maintenance": {
|
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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.process-mining-prediction": {
|
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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.quantitative-finance": {
|
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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.recommender-systems": {
|
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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.search-ranking": {
|
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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.species-distribution-modeling": {
|
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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.supply-chain-optimization": {
|
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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.tabular-ml": {
|
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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.time-series-forecasting": {
|
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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.traffic-prediction": {
|
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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.uplift-modeling": {
|
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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-acoustic-event-classification": {
|
|
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2018,
|
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2017,
|
| 3035 |
2016,
|
| 3036 |
+
2015,
|
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+
2014
|
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]
|
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},
|
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"audio-anomaly-detection": {
|
|
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|
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2018,
|
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2017,
|
| 3053 |
2016,
|
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+
2015,
|
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+
2014
|
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]
|
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},
|
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"audio-asr": {
|
|
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|
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2018,
|
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2017,
|
| 3071 |
2016,
|
| 3072 |
+
2015,
|
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+
2014
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]
|
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},
|
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"audio-audio-captioning": {
|
|
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|
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2018,
|
| 3088 |
2017,
|
| 3089 |
2016,
|
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+
2015,
|
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+
2014
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]
|
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},
|
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"audio-audio-classification": {
|
|
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|
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2018,
|
| 3106 |
2017,
|
| 3107 |
2016,
|
| 3108 |
+
2015,
|
| 3109 |
+
2014
|
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]
|
| 3111 |
},
|
| 3112 |
"audio-audio-question-answering": {
|
|
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|
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2018,
|
| 3124 |
2017,
|
| 3125 |
2016,
|
| 3126 |
+
2015,
|
| 3127 |
+
2014
|
| 3128 |
]
|
| 3129 |
},
|
| 3130 |
"audio-audio-super-resolution": {
|
|
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|
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2019,
|
| 3787 |
2018,
|
| 3788 |
2017,
|
| 3789 |
+
2016,
|
| 3790 |
+
2015
|
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]
|
| 3792 |
},
|
| 3793 |
"bio.regulatory-sequence-modeling": {
|
|
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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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},
|
| 3810 |
"bio.rna-language-models": {
|
|
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|
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2019,
|
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2018,
|
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2017,
|
| 3823 |
+
2016,
|
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+
2015
|
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]
|
| 3826 |
},
|
| 3827 |
"bio.rna-structure": {
|
|
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|
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2019,
|
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2018,
|
| 3839 |
2017,
|
| 3840 |
+
2016,
|
| 3841 |
+
2015
|
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]
|
| 3843 |
},
|
| 3844 |
"bio.scrna-seq": {
|
|
|
|
| 3854 |
2019,
|
| 3855 |
2018,
|
| 3856 |
2017,
|
| 3857 |
+
2016,
|
| 3858 |
+
2015
|
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]
|
| 3860 |
},
|
| 3861 |
"bio.single-cell": {
|
|
|
|
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2019,
|
| 3872 |
2018,
|
| 3873 |
2017,
|
| 3874 |
+
2016,
|
| 3875 |
+
2015
|
| 3876 |
]
|
| 3877 |
},
|
| 3878 |
"bio.spatial-transcriptomics": {
|
|
|
|
| 3888 |
2019,
|
| 3889 |
2018,
|
| 3890 |
2017,
|
| 3891 |
+
2016,
|
| 3892 |
+
2015
|
| 3893 |
]
|
| 3894 |
},
|
| 3895 |
"bio.transcriptomics": {
|
|
|
|
| 3905 |
2019,
|
| 3906 |
2018,
|
| 3907 |
2017,
|
| 3908 |
+
2016,
|
| 3909 |
+
2015
|
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]
|
| 3911 |
},
|
| 3912 |
"bio.variant-effects": {
|
|
|
|
| 3922 |
2019,
|
| 3923 |
2018,
|
| 3924 |
2017,
|
| 3925 |
+
2016,
|
| 3926 |
+
2015
|
| 3927 |
]
|
| 3928 |
},
|
| 3929 |
"chem-admet": {
|
|
|
|
| 4568 |
2019,
|
| 4569 |
2018,
|
| 4570 |
2017,
|
| 4571 |
+
2016,
|
| 4572 |
+
2015
|
| 4573 |
]
|
| 4574 |
},
|
| 4575 |
"efficiency.model-compression": {
|
|
|
|
| 4585 |
2019,
|
| 4586 |
2018,
|
| 4587 |
2017,
|
| 4588 |
+
2016,
|
| 4589 |
+
2015
|
| 4590 |
]
|
| 4591 |
},
|
| 4592 |
"efficiency.neural-architecture-search": {
|
|
|
|
| 4602 |
2019,
|
| 4603 |
2018,
|
| 4604 |
2017,
|
| 4605 |
+
2016,
|
| 4606 |
+
2015
|
| 4607 |
]
|
| 4608 |
},
|
| 4609 |
"efficiency.optimizer-state-sharding": {
|
|
|
|
| 4619 |
2019,
|
| 4620 |
2018,
|
| 4621 |
2017,
|
| 4622 |
+
2016,
|
| 4623 |
+
2015
|
| 4624 |
]
|
| 4625 |
},
|
| 4626 |
"efficiency.parameter-efficient-finetuning": {
|
|
|
|
| 4636 |
2019,
|
| 4637 |
2018,
|
| 4638 |
2017,
|
| 4639 |
+
2016,
|
| 4640 |
+
2015
|
| 4641 |
]
|
| 4642 |
},
|
| 4643 |
"efficiency.post-training-quantization": {
|
|
|
|
| 4653 |
2019,
|
| 4654 |
2018,
|
| 4655 |
2017,
|
| 4656 |
+
2016,
|
| 4657 |
+
2015
|
| 4658 |
]
|
| 4659 |
},
|
| 4660 |
"efficiency.pruning": {
|
|
|
|
| 4670 |
2019,
|
| 4671 |
2018,
|
| 4672 |
2017,
|
| 4673 |
+
2016,
|
| 4674 |
+
2015
|
| 4675 |
]
|
| 4676 |
},
|
| 4677 |
"efficiency.quantization": {
|
|
|
|
| 4687 |
2019,
|
| 4688 |
2018,
|
| 4689 |
2017,
|
| 4690 |
+
2016,
|
| 4691 |
+
2015
|
| 4692 |
]
|
| 4693 |
},
|
| 4694 |
"efficiency.quantization-aware-training": {
|
|
|
|
| 4704 |
2019,
|
| 4705 |
2018,
|
| 4706 |
2017,
|
| 4707 |
+
2016,
|
| 4708 |
+
2015
|
| 4709 |
]
|
| 4710 |
},
|
| 4711 |
"efficiency.sparse-neural-networks": {
|
|
|
|
| 4721 |
2019,
|
| 4722 |
2018,
|
| 4723 |
2017,
|
| 4724 |
+
2016,
|
| 4725 |
+
2015
|
| 4726 |
]
|
| 4727 |
},
|
| 4728 |
"efficiency.speculative-decoding": {
|
|
|
|
| 4738 |
2019,
|
| 4739 |
2018,
|
| 4740 |
2017,
|
| 4741 |
+
2016,
|
| 4742 |
+
2015
|
| 4743 |
]
|
| 4744 |
},
|
| 4745 |
"gap2026.archaeology-ml": {
|
|
|
|
| 5044 |
2019,
|
| 5045 |
2018,
|
| 5046 |
2017,
|
| 5047 |
+
2016,
|
| 5048 |
+
2015
|
| 5049 |
]
|
| 5050 |
},
|
| 5051 |
"gap2026.green-ai-energy": {
|
|
|
|
| 5061 |
2019,
|
| 5062 |
2018,
|
| 5063 |
2017,
|
| 5064 |
+
2016,
|
| 5065 |
+
2015
|
| 5066 |
]
|
| 5067 |
},
|
| 5068 |
"gap2026.math-learned-optimization": {
|
|
|
|
| 5078 |
2019,
|
| 5079 |
2018,
|
| 5080 |
2017,
|
| 5081 |
+
2016,
|
| 5082 |
+
2015
|
| 5083 |
]
|
| 5084 |
},
|
| 5085 |
"gap2026.math-neural-combinatorial-optimization": {
|
|
|
|
| 5095 |
2019,
|
| 5096 |
2018,
|
| 5097 |
2017,
|
| 5098 |
+
2016,
|
| 5099 |
+
2015
|
| 5100 |
]
|
| 5101 |
},
|
| 5102 |
"gap2026.neuroimaging-connectome": {
|
|
|
|
| 5112 |
2019,
|
| 5113 |
2018,
|
| 5114 |
2017,
|
| 5115 |
+
2016,
|
| 5116 |
+
2015
|
| 5117 |
]
|
| 5118 |
},
|
| 5119 |
"gap2026.neuroimaging-eeg": {
|
|
|
|
| 5129 |
2019,
|
| 5130 |
2018,
|
| 5131 |
2017,
|
| 5132 |
+
2016,
|
| 5133 |
+
2015
|
| 5134 |
]
|
| 5135 |
},
|
| 5136 |
"gap2026.neuroimaging-fmri": {
|
|
|
|
| 5146 |
2019,
|
| 5147 |
2018,
|
| 5148 |
2017,
|
| 5149 |
+
2016,
|
| 5150 |
+
2015
|
| 5151 |
]
|
| 5152 |
},
|
| 5153 |
"gap2026.neuroimaging-neural-decoding": {
|
|
|
|
| 5163 |
2019,
|
| 5164 |
2018,
|
| 5165 |
2017,
|
| 5166 |
+
2016,
|
| 5167 |
+
2015
|
| 5168 |
]
|
| 5169 |
},
|
| 5170 |
"gap2026.physics-differentiable-simulation": {
|
|
|
|
| 5180 |
2019,
|
| 5181 |
2018,
|
| 5182 |
2017,
|
| 5183 |
+
2016,
|
| 5184 |
+
2015
|
| 5185 |
]
|
| 5186 |
},
|
| 5187 |
"gap2026.physics-inverse-problem": {
|
|
|
|
| 5197 |
2019,
|
| 5198 |
2018,
|
| 5199 |
2017,
|
| 5200 |
+
2016,
|
| 5201 |
+
2015
|
| 5202 |
]
|
| 5203 |
},
|
| 5204 |
"gap2026.physics-neural-pde-solver": {
|
|
|
|
| 5214 |
2019,
|
| 5215 |
2018,
|
| 5216 |
2017,
|
| 5217 |
+
2016,
|
| 5218 |
+
2015
|
| 5219 |
]
|
| 5220 |
},
|
| 5221 |
"gap2026.physics-quantum-ml": {
|
|
|
|
| 5231 |
2019,
|
| 5232 |
2018,
|
| 5233 |
2017,
|
| 5234 |
+
2016,
|
| 5235 |
+
2015
|
| 5236 |
]
|
| 5237 |
},
|
| 5238 |
"general.active-learning": {
|
|
|
|
| 5537 |
2019,
|
| 5538 |
2018,
|
| 5539 |
2017,
|
| 5540 |
+
2016,
|
| 5541 |
+
2015
|
| 5542 |
]
|
| 5543 |
},
|
| 5544 |
"general.logistic-regression": {
|
|
|
|
| 5554 |
2019,
|
| 5555 |
2018,
|
| 5556 |
2017,
|
| 5557 |
+
2016,
|
| 5558 |
+
2015
|
| 5559 |
]
|
| 5560 |
},
|
| 5561 |
"general.machine-learning-description": {
|
|
|
|
| 5571 |
2019,
|
| 5572 |
2018,
|
| 5573 |
2017,
|
| 5574 |
+
2016,
|
| 5575 |
+
2015
|
| 5576 |
]
|
| 5577 |
},
|
| 5578 |
"general.machine-learning-readme": {
|
|
|
|
| 5588 |
2019,
|
| 5589 |
2018,
|
| 5590 |
2017,
|
| 5591 |
+
2016,
|
| 5592 |
+
2015
|
| 5593 |
]
|
| 5594 |
},
|
| 5595 |
"general.matrix-factorization": {
|
|
|
|
| 5605 |
2019,
|
| 5606 |
2018,
|
| 5607 |
2017,
|
| 5608 |
+
2016,
|
| 5609 |
+
2015
|
| 5610 |
]
|
| 5611 |
},
|
| 5612 |
"general.meta-learning": {
|
|
|
|
| 5622 |
2019,
|
| 5623 |
2018,
|
| 5624 |
2017,
|
| 5625 |
+
2016,
|
| 5626 |
+
2015
|
| 5627 |
]
|
| 5628 |
},
|
| 5629 |
"general.metric-learning": {
|
|
|
|
| 5639 |
2019,
|
| 5640 |
2018,
|
| 5641 |
2017,
|
| 5642 |
+
2016,
|
| 5643 |
+
2015
|
| 5644 |
]
|
| 5645 |
},
|
| 5646 |
"general.model-architecture": {
|
|
|
|
| 5656 |
2019,
|
| 5657 |
2018,
|
| 5658 |
2017,
|
| 5659 |
+
2016,
|
| 5660 |
+
2015
|
| 5661 |
]
|
| 5662 |
},
|
| 5663 |
"general.multi-task-learning": {
|
|
|
|
| 5673 |
2019,
|
| 5674 |
2018,
|
| 5675 |
2017,
|
| 5676 |
+
2016,
|
| 5677 |
+
2015
|
| 5678 |
]
|
| 5679 |
},
|
| 5680 |
"general.naive-bayes": {
|
|
|
|
| 5690 |
2019,
|
| 5691 |
2018,
|
| 5692 |
2017,
|
| 5693 |
+
2016,
|
| 5694 |
+
2015
|
| 5695 |
]
|
| 5696 |
},
|
| 5697 |
"general.nearest-neighbors": {
|
|
|
|
| 5707 |
2019,
|
| 5708 |
2018,
|
| 5709 |
2017,
|
| 5710 |
+
2016,
|
| 5711 |
+
2015
|
| 5712 |
]
|
| 5713 |
},
|
| 5714 |
"general.neural-network": {
|
|
|
|
| 5724 |
2019,
|
| 5725 |
2018,
|
| 5726 |
2017,
|
| 5727 |
+
2016,
|
| 5728 |
+
2015
|
| 5729 |
]
|
| 5730 |
},
|
| 5731 |
"general.neural-processes": {
|
|
|
|
| 5741 |
2019,
|
| 5742 |
2018,
|
| 5743 |
2017,
|
| 5744 |
+
2016,
|
| 5745 |
+
2015
|
| 5746 |
]
|
| 5747 |
},
|
| 5748 |
"general.normalizing-flows": {
|
|
|
|
| 5758 |
2019,
|
| 5759 |
2018,
|
| 5760 |
2017,
|
| 5761 |
+
2016,
|
| 5762 |
+
2015
|
| 5763 |
]
|
| 5764 |
},
|
| 5765 |
"general.novel-method": {
|
|
|
|
| 5775 |
2019,
|
| 5776 |
2018,
|
| 5777 |
2017,
|
| 5778 |
+
2016,
|
| 5779 |
+
2015
|
| 5780 |
]
|
| 5781 |
},
|
| 5782 |
"general.paper-implementation": {
|
|
|
|
| 5792 |
2019,
|
| 5793 |
2018,
|
| 5794 |
2017,
|
| 5795 |
+
2016,
|
| 5796 |
+
2015
|
| 5797 |
]
|
| 5798 |
},
|
| 5799 |
"general.probabilistic-programming": {
|
|
|
|
| 5809 |
2019,
|
| 5810 |
2018,
|
| 5811 |
2017,
|
| 5812 |
+
2016,
|
| 5813 |
+
2015
|
| 5814 |
]
|
| 5815 |
},
|
| 5816 |
"general.random-forest": {
|
|
|
|
| 5826 |
2019,
|
| 5827 |
2018,
|
| 5828 |
2017,
|
| 5829 |
+
2016,
|
| 5830 |
+
2015
|
| 5831 |
]
|
| 5832 |
},
|
| 5833 |
"general.research-code": {
|
|
|
|
| 5843 |
2019,
|
| 5844 |
2018,
|
| 5845 |
2017,
|
| 5846 |
+
2016,
|
| 5847 |
+
2015
|
| 5848 |
]
|
| 5849 |
},
|
| 5850 |
"general.self-supervised-learning": {
|
|
|
|
| 5860 |
2019,
|
| 5861 |
2018,
|
| 5862 |
2017,
|
| 5863 |
+
2016,
|
| 5864 |
+
2015
|
| 5865 |
]
|
| 5866 |
},
|
| 5867 |
"general.semi-supervised-learning": {
|
|
|
|
| 5877 |
2019,
|
| 5878 |
2018,
|
| 5879 |
2017,
|
| 5880 |
+
2016,
|
| 5881 |
+
2015
|
| 5882 |
]
|
| 5883 |
},
|
| 5884 |
"general.support-vector-machine": {
|
|
|
|
| 5894 |
2019,
|
| 5895 |
2018,
|
| 5896 |
2017,
|
| 5897 |
+
2016,
|
| 5898 |
+
2015
|
| 5899 |
]
|
| 5900 |
},
|
| 5901 |
"general.topic-artificial-intelligence": {
|
|
|
|
| 5911 |
2019,
|
| 5912 |
2018,
|
| 5913 |
2017,
|
| 5914 |
+
2016,
|
| 5915 |
+
2015
|
| 5916 |
]
|
| 5917 |
},
|
| 5918 |
"general.topic-deep-learning": {
|
|
|
|
| 5928 |
2019,
|
| 5929 |
2018,
|
| 5930 |
2017,
|
| 5931 |
+
2016,
|
| 5932 |
+
2015
|
| 5933 |
]
|
| 5934 |
},
|
| 5935 |
"general.topic-machine-learning": {
|
|
|
|
| 5945 |
2019,
|
| 5946 |
2018,
|
| 5947 |
2017,
|
| 5948 |
+
2016,
|
| 5949 |
+
2015
|
| 5950 |
]
|
| 5951 |
},
|
| 5952 |
"general.transfer-learning": {
|
|
|
|
| 5962 |
2019,
|
| 5963 |
2018,
|
| 5964 |
2017,
|
| 5965 |
+
2016,
|
| 5966 |
+
2015
|
| 5967 |
]
|
| 5968 |
},
|
| 5969 |
"general.weak-supervision": {
|
|
|
|
| 5979 |
2019,
|
| 5980 |
2018,
|
| 5981 |
2017,
|
| 5982 |
+
2016,
|
| 5983 |
+
2015
|
| 5984 |
]
|
| 5985 |
},
|
| 5986 |
"geo.building-footprints": {
|
|
|
|
| 6285 |
2019,
|
| 6286 |
2018,
|
| 6287 |
2017,
|
| 6288 |
+
2016,
|
| 6289 |
+
2015
|
| 6290 |
]
|
| 6291 |
},
|
| 6292 |
"geo.sar-imagery": {
|
|
|
|
| 6302 |
2019,
|
| 6303 |
2018,
|
| 6304 |
2017,
|
| 6305 |
+
2016,
|
| 6306 |
+
2015
|
| 6307 |
]
|
| 6308 |
},
|
| 6309 |
"geo.satellite-imagery": {
|
|
|
|
| 6319 |
2019,
|
| 6320 |
2018,
|
| 6321 |
2017,
|
| 6322 |
+
2016,
|
| 6323 |
+
2015
|
| 6324 |
]
|
| 6325 |
},
|
| 6326 |
"geo.topic-earth-observation": {
|
|
|
|
| 6336 |
2019,
|
| 6337 |
2018,
|
| 6338 |
2017,
|
| 6339 |
+
2016,
|
| 6340 |
+
2015
|
| 6341 |
]
|
| 6342 |
},
|
| 6343 |
"geo.topic-geospatial": {
|
|
|
|
| 6353 |
2019,
|
| 6354 |
2018,
|
| 6355 |
2017,
|
| 6356 |
+
2016,
|
| 6357 |
+
2015
|
| 6358 |
]
|
| 6359 |
},
|
| 6360 |
"geo.topic-gis": {
|
|
|
|
| 6370 |
2019,
|
| 6371 |
2018,
|
| 6372 |
2017,
|
| 6373 |
+
2016,
|
| 6374 |
+
2015
|
| 6375 |
]
|
| 6376 |
},
|
| 6377 |
"geo.topic-remote-sensing": {
|
|
|
|
| 6387 |
2019,
|
| 6388 |
2018,
|
| 6389 |
2017,
|
| 6390 |
+
2016,
|
| 6391 |
+
2015
|
| 6392 |
]
|
| 6393 |
},
|
| 6394 |
"geo.trajectory-prediction": {
|
|
|
|
| 6404 |
2019,
|
| 6405 |
2018,
|
| 6406 |
2017,
|
| 6407 |
+
2016,
|
| 6408 |
+
2015
|
| 6409 |
]
|
| 6410 |
},
|
| 6411 |
"geo.urban-sensing": {
|
|
|
|
| 6421 |
2019,
|
| 6422 |
2018,
|
| 6423 |
2017,
|
| 6424 |
+
2016,
|
| 6425 |
+
2015
|
| 6426 |
]
|
| 6427 |
},
|
| 6428 |
"geo.wildfire-mapping": {
|
|
|
|
| 6438 |
2019,
|
| 6439 |
2018,
|
| 6440 |
2017,
|
| 6441 |
+
2016,
|
| 6442 |
+
2015
|
| 6443 |
]
|
| 6444 |
},
|
| 6445 |
"graph.e3-equivariance": {
|
|
|
|
| 6744 |
2019,
|
| 6745 |
2018,
|
| 6746 |
2017,
|
| 6747 |
+
2016,
|
| 6748 |
+
2015
|
| 6749 |
]
|
| 6750 |
},
|
| 6751 |
"graph.neural-ode-graph": {
|
|
|
|
| 6761 |
2019,
|
| 6762 |
2018,
|
| 6763 |
2017,
|
| 6764 |
+
2016,
|
| 6765 |
+
2015
|
| 6766 |
]
|
| 6767 |
},
|
| 6768 |
"graph.persistent-homology": {
|
|
|
|
| 6778 |
2019,
|
| 6779 |
2018,
|
| 6780 |
2017,
|
| 6781 |
+
2016,
|
| 6782 |
+
2015
|
| 6783 |
]
|
| 6784 |
},
|
| 6785 |
"graph.point-cloud-learning": {
|
|
|
|
| 6795 |
2019,
|
| 6796 |
2018,
|
| 6797 |
2017,
|
| 6798 |
+
2016,
|
| 6799 |
+
2015
|
| 6800 |
]
|
| 6801 |
},
|
| 6802 |
"graph.point-clouds": {
|
|
|
|
| 6812 |
2019,
|
| 6813 |
2018,
|
| 6814 |
2017,
|
| 6815 |
+
2016,
|
| 6816 |
+
2015
|
| 6817 |
]
|
| 6818 |
},
|
| 6819 |
"graph.representation-learning": {
|
|
|
|
| 6829 |
2019,
|
| 6830 |
2018,
|
| 6831 |
2017,
|
| 6832 |
+
2016,
|
| 6833 |
+
2015
|
| 6834 |
]
|
| 6835 |
},
|
| 6836 |
"graph.signal-processing": {
|
|
|
|
| 6846 |
2019,
|
| 6847 |
2018,
|
| 6848 |
2017,
|
| 6849 |
+
2016,
|
| 6850 |
+
2015
|
| 6851 |
]
|
| 6852 |
},
|
| 6853 |
"graph.temporal-learning": {
|
|
|
|
| 6863 |
2019,
|
| 6864 |
2018,
|
| 6865 |
2017,
|
| 6866 |
+
2016,
|
| 6867 |
+
2015
|
| 6868 |
]
|
| 6869 |
},
|
| 6870 |
"graph.topic-gnn": {
|
|
|
|
| 6880 |
2019,
|
| 6881 |
2018,
|
| 6882 |
2017,
|
| 6883 |
+
2016,
|
| 6884 |
+
2015
|
| 6885 |
]
|
| 6886 |
},
|
| 6887 |
"graph.topological-ml": {
|
|
|
|
| 6897 |
2019,
|
| 6898 |
2018,
|
| 6899 |
2017,
|
| 6900 |
+
2016,
|
| 6901 |
+
2015
|
| 6902 |
]
|
| 6903 |
},
|
| 6904 |
"llm-code-generation": {
|
|
|
|
| 7271 |
2019,
|
| 7272 |
2018,
|
| 7273 |
2017,
|
| 7274 |
+
2016,
|
| 7275 |
+
2015
|
| 7276 |
]
|
| 7277 |
},
|
| 7278 |
"llm.speculative-decoding": {
|
|
|
|
| 7288 |
2019,
|
| 7289 |
2018,
|
| 7290 |
2017,
|
| 7291 |
+
2016,
|
| 7292 |
+
2015
|
| 7293 |
]
|
| 7294 |
},
|
| 7295 |
"llm.synthetic-data": {
|
|
|
|
| 7305 |
2019,
|
| 7306 |
2018,
|
| 7307 |
2017,
|
| 7308 |
+
2016,
|
| 7309 |
+
2015
|
| 7310 |
]
|
| 7311 |
},
|
| 7312 |
"llm.synthetic-data-generation": {
|
|
|
|
| 7322 |
2019,
|
| 7323 |
2018,
|
| 7324 |
2017,
|
| 7325 |
+
2016,
|
| 7326 |
+
2015
|
| 7327 |
]
|
| 7328 |
},
|
| 7329 |
"llm.test-time-compute": {
|
|
|
|
| 7339 |
2019,
|
| 7340 |
2018,
|
| 7341 |
2017,
|
| 7342 |
+
2016,
|
| 7343 |
+
2015
|
| 7344 |
]
|
| 7345 |
},
|
| 7346 |
"llm.transformers": {
|
|
|
|
| 7356 |
2019,
|
| 7357 |
2018,
|
| 7358 |
2017,
|
| 7359 |
+
2016,
|
| 7360 |
+
2015
|
| 7361 |
]
|
| 7362 |
},
|
| 7363 |
"materials-battery": {
|
|
|
|
| 7781 |
2019,
|
| 7782 |
2018,
|
| 7783 |
2017,
|
| 7784 |
+
2016,
|
| 7785 |
+
2015
|
| 7786 |
]
|
| 7787 |
},
|
| 7788 |
"medical.neural-decoding": {
|
|
|
|
| 7798 |
2019,
|
| 7799 |
2018,
|
| 7800 |
2017,
|
| 7801 |
+
2016,
|
| 7802 |
+
2015
|
| 7803 |
]
|
| 7804 |
},
|
| 7805 |
"medical.neuroimaging": {
|
|
|
|
| 7815 |
2019,
|
| 7816 |
2018,
|
| 7817 |
2017,
|
| 7818 |
+
2016,
|
| 7819 |
+
2015
|
| 7820 |
]
|
| 7821 |
},
|
| 7822 |
"medical.ophthalmology": {
|
|
|
|
| 7832 |
2019,
|
| 7833 |
2018,
|
| 7834 |
2017,
|
| 7835 |
+
2016,
|
| 7836 |
+
2015
|
| 7837 |
]
|
| 7838 |
},
|
| 7839 |
"medical.pathology": {
|
|
|
|
| 7849 |
2019,
|
| 7850 |
2018,
|
| 7851 |
2017,
|
| 7852 |
+
2016,
|
| 7853 |
+
2015
|
| 7854 |
]
|
| 7855 |
},
|
| 7856 |
"medical.pathology-foundation-model": {
|
|
|
|
| 7866 |
2019,
|
| 7867 |
2018,
|
| 7868 |
2017,
|
| 7869 |
+
2016,
|
| 7870 |
+
2015
|
| 7871 |
]
|
| 7872 |
},
|
| 7873 |
"medical.patient-risk": {
|
|
|
|
| 7883 |
2019,
|
| 7884 |
2018,
|
| 7885 |
2017,
|
| 7886 |
+
2016,
|
| 7887 |
+
2015
|
| 7888 |
]
|
| 7889 |
},
|
| 7890 |
"medical.radiology": {
|
|
|
|
| 7900 |
2019,
|
| 7901 |
2018,
|
| 7902 |
2017,
|
| 7903 |
+
2016,
|
| 7904 |
+
2015
|
| 7905 |
]
|
| 7906 |
},
|
| 7907 |
"medical.survival-analysis": {
|
|
|
|
| 7917 |
2019,
|
| 7918 |
2018,
|
| 7919 |
2017,
|
| 7920 |
+
2016,
|
| 7921 |
+
2015
|
| 7922 |
]
|
| 7923 |
},
|
| 7924 |
"medical.wearable-health": {
|
|
|
|
| 7934 |
2019,
|
| 7935 |
2018,
|
| 7936 |
2017,
|
| 7937 |
+
2016,
|
| 7938 |
+
2015
|
| 7939 |
]
|
| 7940 |
},
|
| 7941 |
"multimodal.3d-generation": {
|
|
|
|
| 8240 |
2019,
|
| 8241 |
2018,
|
| 8242 |
2017,
|
| 8243 |
+
2016,
|
| 8244 |
+
2015
|
| 8245 |
]
|
| 8246 |
},
|
| 8247 |
"multimodal.video-language-model": {
|
|
|
|
| 8257 |
2019,
|
| 8258 |
2018,
|
| 8259 |
2017,
|
| 8260 |
+
2016,
|
| 8261 |
+
2015
|
| 8262 |
]
|
| 8263 |
},
|
| 8264 |
"multimodal.video-question-answering": {
|
|
|
|
| 8274 |
2019,
|
| 8275 |
2018,
|
| 8276 |
2017,
|
| 8277 |
+
2016,
|
| 8278 |
+
2015
|
| 8279 |
]
|
| 8280 |
},
|
| 8281 |
"multimodal.video-understanding": {
|
|
|
|
| 8291 |
2019,
|
| 8292 |
2018,
|
| 8293 |
2017,
|
| 8294 |
+
2016,
|
| 8295 |
+
2015
|
| 8296 |
]
|
| 8297 |
},
|
| 8298 |
"multimodal.vision-language": {
|
|
|
|
| 8308 |
2019,
|
| 8309 |
2018,
|
| 8310 |
2017,
|
| 8311 |
+
2016,
|
| 8312 |
+
2015
|
| 8313 |
]
|
| 8314 |
},
|
| 8315 |
"multimodal.visual-question-answering": {
|
|
|
|
| 8325 |
2019,
|
| 8326 |
2018,
|
| 8327 |
2017,
|
| 8328 |
+
2016,
|
| 8329 |
+
2015
|
| 8330 |
]
|
| 8331 |
},
|
| 8332 |
"multimodal.vlm": {
|
|
|
|
| 8342 |
2019,
|
| 8343 |
2018,
|
| 8344 |
2017,
|
| 8345 |
+
2016,
|
| 8346 |
+
2015
|
| 8347 |
]
|
| 8348 |
},
|
| 8349 |
"multimodal.world-models": {
|
|
|
|
| 8359 |
2019,
|
| 8360 |
2018,
|
| 8361 |
2017,
|
| 8362 |
+
2016,
|
| 8363 |
+
2015
|
| 8364 |
]
|
| 8365 |
},
|
| 8366 |
"nlp-bm25-retrieval": {
|
|
|
|
| 8784 |
2019,
|
| 8785 |
2018,
|
| 8786 |
2017,
|
| 8787 |
+
2016,
|
| 8788 |
+
2015
|
| 8789 |
]
|
| 8790 |
},
|
| 8791 |
"nlp.topic-modeling": {
|
|
|
|
| 8801 |
2019,
|
| 8802 |
2018,
|
| 8803 |
2017,
|
| 8804 |
+
2016,
|
| 8805 |
+
2015
|
| 8806 |
]
|
| 8807 |
},
|
| 8808 |
"probable.adaptation-domain-generalization-readme": {
|
|
|
|
| 9379 |
2019,
|
| 9380 |
2018,
|
| 9381 |
2017,
|
| 9382 |
+
2016,
|
| 9383 |
+
2015
|
| 9384 |
]
|
| 9385 |
},
|
| 9386 |
"recall.name.foundation-model": {
|
|
|
|
| 9396 |
2019,
|
| 9397 |
2018,
|
| 9398 |
2017,
|
| 9399 |
+
2016,
|
| 9400 |
+
2015
|
| 9401 |
]
|
| 9402 |
},
|
| 9403 |
"recall.name.language-model": {
|
|
|
|
| 9413 |
2019,
|
| 9414 |
2018,
|
| 9415 |
2017,
|
| 9416 |
+
2016,
|
| 9417 |
+
2015
|
| 9418 |
]
|
| 9419 |
},
|
| 9420 |
"recall.name.large-language-model": {
|
|
|
|
| 9430 |
2019,
|
| 9431 |
2018,
|
| 9432 |
2017,
|
| 9433 |
+
2016,
|
| 9434 |
+
2015
|
| 9435 |
]
|
| 9436 |
},
|
| 9437 |
"recall.name.machine-learning": {
|
|
|
|
| 9447 |
2019,
|
| 9448 |
2018,
|
| 9449 |
2017,
|
| 9450 |
+
2016,
|
| 9451 |
+
2015
|
| 9452 |
]
|
| 9453 |
},
|
| 9454 |
"recall.name.multimodal-model": {
|
|
|
|
| 9464 |
2019,
|
| 9465 |
2018,
|
| 9466 |
2017,
|
| 9467 |
+
2016,
|
| 9468 |
+
2015
|
| 9469 |
]
|
| 9470 |
},
|
| 9471 |
"recall.name.neural-network": {
|
|
|
|
| 9481 |
2019,
|
| 9482 |
2018,
|
| 9483 |
2017,
|
| 9484 |
+
2016,
|
| 9485 |
+
2015
|
| 9486 |
]
|
| 9487 |
},
|
| 9488 |
"recall.name.transformer-model": {
|
|
|
|
| 9498 |
2019,
|
| 9499 |
2018,
|
| 9500 |
2017,
|
| 9501 |
+
2016,
|
| 9502 |
+
2015
|
| 9503 |
]
|
| 9504 |
},
|
| 9505 |
"recall.player-tracking": {
|
|
|
|
| 9515 |
2019,
|
| 9516 |
2018,
|
| 9517 |
2017,
|
| 9518 |
+
2016,
|
| 9519 |
+
2015
|
| 9520 |
]
|
| 9521 |
},
|
| 9522 |
"recall.population-health-prediction": {
|
|
|
|
| 9532 |
2019,
|
| 9533 |
2018,
|
| 9534 |
2017,
|
| 9535 |
+
2016,
|
| 9536 |
+
2015
|
| 9537 |
]
|
| 9538 |
},
|
| 9539 |
"recall.power-system-forecasting": {
|
|
|
|
| 9549 |
2019,
|
| 9550 |
2018,
|
| 9551 |
2017,
|
| 9552 |
+
2016,
|
| 9553 |
+
2015
|
| 9554 |
]
|
| 9555 |
},
|
| 9556 |
"recall.social-media-analysis": {
|
|
|
|
| 9566 |
2019,
|
| 9567 |
2018,
|
| 9568 |
2017,
|
| 9569 |
+
2016,
|
| 9570 |
+
2015
|
| 9571 |
]
|
| 9572 |
},
|
| 9573 |
"recall.sports-analytics": {
|
|
|
|
| 9583 |
2019,
|
| 9584 |
2018,
|
| 9585 |
2017,
|
| 9586 |
+
2016,
|
| 9587 |
+
2015
|
| 9588 |
]
|
| 9589 |
},
|
| 9590 |
"recall.structural-health-monitoring": {
|
|
|
|
| 9600 |
2019,
|
| 9601 |
2018,
|
| 9602 |
2017,
|
| 9603 |
+
2016,
|
| 9604 |
+
2015
|
| 9605 |
]
|
| 9606 |
},
|
| 9607 |
"recall.student-performance-prediction": {
|
|
|
|
| 9617 |
2019,
|
| 9618 |
2018,
|
| 9619 |
2017,
|
| 9620 |
+
2016,
|
| 9621 |
+
2015
|
| 9622 |
]
|
| 9623 |
},
|
| 9624 |
"recall26.audio-language-model": {
|
|
|
|
| 10059 |
2019,
|
| 10060 |
2018,
|
| 10061 |
2017,
|
| 10062 |
+
2016,
|
| 10063 |
+
2015
|
| 10064 |
]
|
| 10065 |
},
|
| 10066 |
"rl.preference": {
|
|
|
|
| 10076 |
2019,
|
| 10077 |
2018,
|
| 10078 |
2017,
|
| 10079 |
+
2016,
|
| 10080 |
+
2015
|
| 10081 |
]
|
| 10082 |
},
|
| 10083 |
"rl.reinforcement-learning-from-human-feedback": {
|
|
|
|
| 10093 |
2019,
|
| 10094 |
2018,
|
| 10095 |
2017,
|
| 10096 |
+
2016,
|
| 10097 |
+
2015
|
| 10098 |
]
|
| 10099 |
},
|
| 10100 |
"rl.safe": {
|
|
|
|
| 10110 |
2019,
|
| 10111 |
2018,
|
| 10112 |
2017,
|
| 10113 |
+
2016,
|
| 10114 |
+
2015
|
| 10115 |
]
|
| 10116 |
},
|
| 10117 |
"rl.soft-actor-critic": {
|
|
|
|
| 10127 |
2019,
|
| 10128 |
2018,
|
| 10129 |
2017,
|
| 10130 |
+
2016,
|
| 10131 |
+
2015
|
| 10132 |
]
|
| 10133 |
},
|
| 10134 |
"robotics.autonomous-driving": {
|
|
|
|
| 10433 |
2019,
|
| 10434 |
2018,
|
| 10435 |
2017,
|
| 10436 |
+
2016,
|
| 10437 |
+
2015
|
| 10438 |
]
|
| 10439 |
},
|
| 10440 |
"robotics.slam": {
|
|
|
|
| 10450 |
2019,
|
| 10451 |
2018,
|
| 10452 |
2017,
|
| 10453 |
+
2016,
|
| 10454 |
+
2015
|
| 10455 |
]
|
| 10456 |
},
|
| 10457 |
"robotics.tactile-learning": {
|
|
|
|
| 10467 |
2019,
|
| 10468 |
2018,
|
| 10469 |
2017,
|
| 10470 |
+
2016,
|
| 10471 |
+
2015
|
| 10472 |
]
|
| 10473 |
},
|
| 10474 |
"robotics.teleoperation": {
|
|
|
|
| 10484 |
2019,
|
| 10485 |
2018,
|
| 10486 |
2017,
|
| 10487 |
+
2016,
|
| 10488 |
+
2015
|
| 10489 |
]
|
| 10490 |
},
|
| 10491 |
"robotics.visual-language-action": {
|
|
|
|
| 10501 |
2019,
|
| 10502 |
2018,
|
| 10503 |
2017,
|
| 10504 |
+
2016,
|
| 10505 |
+
2015
|
| 10506 |
]
|
| 10507 |
},
|
| 10508 |
"robotics.visuomotor-policy": {
|
|
|
|
| 10518 |
2019,
|
| 10519 |
2018,
|
| 10520 |
2017,
|
| 10521 |
+
2016,
|
| 10522 |
+
2015
|
| 10523 |
]
|
| 10524 |
},
|
| 10525 |
"science.astronomy": {
|
|
|
|
| 10824 |
2019,
|
| 10825 |
2018,
|
| 10826 |
2017,
|
| 10827 |
+
2016,
|
| 10828 |
+
2015
|
| 10829 |
]
|
| 10830 |
},
|
| 10831 |
"science.quantum-materials": {
|
|
|
|
| 10841 |
2019,
|
| 10842 |
2018,
|
| 10843 |
2017,
|
| 10844 |
+
2016,
|
| 10845 |
+
2015
|
| 10846 |
]
|
| 10847 |
},
|
| 10848 |
"science.quantum-physics": {
|
|
|
|
| 10858 |
2019,
|
| 10859 |
2018,
|
| 10860 |
2017,
|
| 10861 |
+
2016,
|
| 10862 |
+
2015
|
| 10863 |
]
|
| 10864 |
},
|
| 10865 |
"science.remote-sensing": {
|
|
|
|
| 10875 |
2019,
|
| 10876 |
2018,
|
| 10877 |
2017,
|
| 10878 |
+
2016,
|
| 10879 |
+
2015
|
| 10880 |
]
|
| 10881 |
},
|
| 10882 |
"science.scientific-machine-learning": {
|
|
|
|
| 10892 |
2019,
|
| 10893 |
2018,
|
| 10894 |
2017,
|
| 10895 |
+
2016,
|
| 10896 |
+
2015
|
| 10897 |
]
|
| 10898 |
},
|
| 10899 |
"science.seismic": {
|
|
|
|
| 10909 |
2019,
|
| 10910 |
2018,
|
| 10911 |
2017,
|
| 10912 |
+
2016,
|
| 10913 |
+
2015
|
| 10914 |
]
|
| 10915 |
},
|
| 10916 |
"science.turbulence": {
|
|
|
|
| 10926 |
2019,
|
| 10927 |
2018,
|
| 10928 |
2017,
|
| 10929 |
+
2016,
|
| 10930 |
+
2015
|
| 10931 |
]
|
| 10932 |
},
|
| 10933 |
"science.weather-forecasting": {
|
|
|
|
| 10943 |
2019,
|
| 10944 |
2018,
|
| 10945 |
2017,
|
| 10946 |
+
2016,
|
| 10947 |
+
2015
|
| 10948 |
]
|
| 10949 |
},
|
| 10950 |
"science.weather-nowcasting": {
|
|
|
|
| 10960 |
2019,
|
| 10961 |
2018,
|
| 10962 |
2017,
|
| 10963 |
+
2016,
|
| 10964 |
+
2015
|
| 10965 |
]
|
| 10966 |
},
|
| 10967 |
"specialized.carbon-footprint-training": {
|
|
|
|
| 11504 |
2019,
|
| 11505 |
2018,
|
| 11506 |
2017,
|
| 11507 |
+
2016,
|
| 11508 |
+
2015
|
| 11509 |
]
|
| 11510 |
},
|
| 11511 |
"timeseries.streaming": {
|
|
|
|
| 11521 |
2019,
|
| 11522 |
2018,
|
| 11523 |
2017,
|
| 11524 |
+
2016,
|
| 11525 |
+
2015
|
| 11526 |
]
|
| 11527 |
},
|
| 11528 |
"timeseries.synthetic-generation": {
|
|
|
|
| 11538 |
2019,
|
| 11539 |
2018,
|
| 11540 |
2017,
|
| 11541 |
+
2016,
|
| 11542 |
+
2015
|
| 11543 |
]
|
| 11544 |
},
|
| 11545 |
"timeseries.tabular-foundation-models": {
|
|
|
|
| 11555 |
2019,
|
| 11556 |
2018,
|
| 11557 |
2017,
|
| 11558 |
+
2016,
|
| 11559 |
+
2015
|
| 11560 |
]
|
| 11561 |
},
|
| 11562 |
"timeseries.temporal-fusion-transformer": {
|
|
|
|
| 11572 |
2019,
|
| 11573 |
2018,
|
| 11574 |
2017,
|
| 11575 |
+
2016,
|
| 11576 |
+
2015
|
| 11577 |
]
|
| 11578 |
},
|
| 11579 |
"timeseries.temporal-representation": {
|
|
|
|
| 11589 |
2019,
|
| 11590 |
2018,
|
| 11591 |
2017,
|
| 11592 |
+
2016,
|
| 11593 |
+
2015
|
| 11594 |
]
|
| 11595 |
},
|
| 11596 |
"timeseries.topic": {
|
|
|
|
| 11606 |
2019,
|
| 11607 |
2018,
|
| 11608 |
2017,
|
| 11609 |
+
2016,
|
| 11610 |
+
2015
|
| 11611 |
]
|
| 11612 |
},
|
| 11613 |
"timeseries.traffic-forecasting": {
|
|
|
|
| 11623 |
2019,
|
| 11624 |
2018,
|
| 11625 |
2017,
|
| 11626 |
+
2016,
|
| 11627 |
+
2015
|
| 11628 |
]
|
| 11629 |
},
|
| 11630 |
"timeseries.unevenly-spaced": {
|
|
|
|
| 11640 |
2019,
|
| 11641 |
2018,
|
| 11642 |
2017,
|
| 11643 |
+
2016,
|
| 11644 |
+
2015
|
| 11645 |
]
|
| 11646 |
},
|
| 11647 |
"timeseries.weather-forecasting": {
|
|
|
|
| 11657 |
2019,
|
| 11658 |
2018,
|
| 11659 |
2017,
|
| 11660 |
+
2016,
|
| 11661 |
+
2015
|
| 11662 |
]
|
| 11663 |
},
|
| 11664 |
"trust.adversarial-robustness": {
|
|
|
|
| 11946 |
2019,
|
| 11947 |
2018,
|
| 11948 |
2017,
|
| 11949 |
+
2016,
|
| 11950 |
+
2015
|
| 11951 |
]
|
| 11952 |
},
|
| 11953 |
"trust.instrumental-variable-ml": {
|
|
|
|
| 11963 |
2019,
|
| 11964 |
2018,
|
| 11965 |
2017,
|
| 11966 |
+
2016,
|
| 11967 |
+
2015
|
| 11968 |
]
|
| 11969 |
},
|
| 11970 |
"trust.interpretable-ml": {
|
|
|
|
| 11980 |
2019,
|
| 11981 |
2018,
|
| 11982 |
2017,
|
| 11983 |
+
2016,
|
| 11984 |
+
2015
|
| 11985 |
]
|
| 11986 |
},
|
| 11987 |
"trust.membership-inference": {
|
|
|
|
| 11997 |
2019,
|
| 11998 |
2018,
|
| 11999 |
2017,
|
| 12000 |
+
2016,
|
| 12001 |
+
2015
|
| 12002 |
]
|
| 12003 |
},
|
| 12004 |
"trust.ml-fairness": {
|
|
|
|
| 12014 |
2019,
|
| 12015 |
2018,
|
| 12016 |
2017,
|
| 12017 |
+
2016,
|
| 12018 |
+
2015
|
| 12019 |
]
|
| 12020 |
},
|
| 12021 |
"trust.model-calibration": {
|
|
|
|
| 12031 |
2019,
|
| 12032 |
2018,
|
| 12033 |
2017,
|
| 12034 |
+
2016,
|
| 12035 |
+
2015
|
| 12036 |
]
|
| 12037 |
},
|
| 12038 |
"trust.neuro-symbolic": {
|
|
|
|
| 12048 |
2019,
|
| 12049 |
2018,
|
| 12050 |
2017,
|
| 12051 |
+
2016,
|
| 12052 |
+
2015
|
| 12053 |
]
|
| 12054 |
},
|
| 12055 |
"trust.out-of-distribution-detection": {
|
|
|
|
| 12065 |
2019,
|
| 12066 |
2018,
|
| 12067 |
2017,
|
| 12068 |
+
2016,
|
| 12069 |
+
2015
|
| 12070 |
]
|
| 12071 |
},
|
| 12072 |
"trust.privacy-preserving-ml": {
|
|
|
|
| 12082 |
2019,
|
| 12083 |
2018,
|
| 12084 |
2017,
|
| 12085 |
+
2016,
|
| 12086 |
+
2015
|
| 12087 |
]
|
| 12088 |
},
|
| 12089 |
"trust.robustness-certification": {
|
|
|
|
| 12099 |
2019,
|
| 12100 |
2018,
|
| 12101 |
2017,
|
| 12102 |
+
2016,
|
| 12103 |
+
2015
|
| 12104 |
]
|
| 12105 |
},
|
| 12106 |
"trust.safe-reinforcement-learning": {
|
|
|
|
| 12116 |
2019,
|
| 12117 |
2018,
|
| 12118 |
2017,
|
| 12119 |
+
2016,
|
| 12120 |
+
2015
|
| 12121 |
]
|
| 12122 |
},
|
| 12123 |
"trust.shap": {
|
|
|
|
| 12133 |
2019,
|
| 12134 |
2018,
|
| 12135 |
2017,
|
| 12136 |
+
2016,
|
| 12137 |
+
2015
|
| 12138 |
]
|
| 12139 |
},
|
| 12140 |
"trust.uncertainty-quantification": {
|
|
|
|
| 12150 |
2019,
|
| 12151 |
2018,
|
| 12152 |
2017,
|
| 12153 |
+
2016,
|
| 12154 |
+
2015
|
| 12155 |
]
|
| 12156 |
},
|
| 12157 |
"vision.action-recognition": {
|
|
|
|
| 12439 |
2019,
|
| 12440 |
2018,
|
| 12441 |
2017,
|
| 12442 |
+
2016,
|
| 12443 |
+
2015
|
| 12444 |
]
|
| 12445 |
},
|
| 12446 |
"vision.pose-estimation": {
|
|
|
|
| 12456 |
2019,
|
| 12457 |
2018,
|
| 12458 |
2017,
|
| 12459 |
+
2016,
|
| 12460 |
+
2015
|
| 12461 |
]
|
| 12462 |
},
|
| 12463 |
"vision.promptable-segmentation": {
|
|
|
|
| 12473 |
2019,
|
| 12474 |
2018,
|
| 12475 |
2017,
|
| 12476 |
+
2016,
|
| 12477 |
+
2015
|
| 12478 |
]
|
| 12479 |
},
|
| 12480 |
"vision.segmentation": {
|
|
|
|
| 12490 |
2019,
|
| 12491 |
2018,
|
| 12492 |
2017,
|
| 12493 |
+
2016,
|
| 12494 |
+
2015
|
| 12495 |
]
|
| 12496 |
},
|
| 12497 |
"vision.self-supervised-vision": {
|
|
|
|
| 12507 |
2019,
|
| 12508 |
2018,
|
| 12509 |
2017,
|
| 12510 |
+
2016,
|
| 12511 |
+
2015
|
| 12512 |
]
|
| 12513 |
},
|
| 12514 |
"vision.topic-computer-vision": {
|
|
|
|
| 12524 |
2019,
|
| 12525 |
2018,
|
| 12526 |
2017,
|
| 12527 |
+
2016,
|
| 12528 |
+
2015
|
| 12529 |
]
|
| 12530 |
},
|
| 12531 |
"vision.video-generation": {
|
|
|
|
| 12541 |
2019,
|
| 12542 |
2018,
|
| 12543 |
2017,
|
| 12544 |
+
2016,
|
| 12545 |
+
2015
|
| 12546 |
]
|
| 12547 |
},
|
| 12548 |
"vision.video-understanding": {
|
|
|
|
| 12558 |
2019,
|
| 12559 |
2018,
|
| 12560 |
2017,
|
| 12561 |
+
2016,
|
| 12562 |
+
2015
|
| 12563 |
]
|
| 12564 |
},
|
| 12565 |
"vision.vision-language": {
|
|
|
|
| 12575 |
2019,
|
| 12576 |
2018,
|
| 12577 |
2017,
|
| 12578 |
+
2016,
|
| 12579 |
+
2015
|
| 12580 |
]
|
| 12581 |
},
|
| 12582 |
"vision.visual-anomaly-detection": {
|
|
|
|
| 12592 |
2019,
|
| 12593 |
2018,
|
| 12594 |
2017,
|
| 12595 |
+
2016,
|
| 12596 |
+
2015
|
| 12597 |
]
|
| 12598 |
},
|
| 12599 |
"vision.visual-localization": {
|
|
|
|
| 12609 |
2019,
|
| 12610 |
2018,
|
| 12611 |
2017,
|
| 12612 |
+
2016,
|
| 12613 |
+
2015
|
| 12614 |
]
|
| 12615 |
}
|
| 12616 |
},
|
|
|
|
| 12623 |
"end": "2026-09-24",
|
| 12624 |
"search_policy_version": 2,
|
| 12625 |
"start_year": 2008,
|
| 12626 |
+
"updated_at": "2026-10-30T17:05:26Z"
|
| 12627 |
}
|