Add GitHub ML run 20261104T184737000000Z-e40b947e
Browse files
coverage/20261104T184737000000Z-e40b947e.json
ADDED
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@@ -0,0 +1,2812 @@
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| 2812 |
+
}
|
data/observations/2026/11/04/20261104T184737000000Z-e40b947e.jsonl
ADDED
|
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|
|
|
state/historical-sample.json
CHANGED
|
@@ -2554,7 +2554,8 @@
|
|
| 2554 |
2017,
|
| 2555 |
2016,
|
| 2556 |
2015,
|
| 2557 |
-
2014
|
|
|
|
| 2558 |
]
|
| 2559 |
},
|
| 2560 |
"applied.customer-lifetime-value": {
|
|
@@ -2572,7 +2573,8 @@
|
|
| 2572 |
2017,
|
| 2573 |
2016,
|
| 2574 |
2015,
|
| 2575 |
-
2014
|
|
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| 2576 |
]
|
| 2577 |
},
|
| 2578 |
"applied.customer-segmentation": {
|
|
@@ -2590,7 +2592,8 @@
|
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| 2590 |
2017,
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| 2591 |
2016,
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| 2592 |
2015,
|
| 2593 |
-
2014
|
|
|
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| 2594 |
]
|
| 2595 |
},
|
| 2596 |
"applied.cybersecurity-ml": {
|
|
@@ -2608,7 +2611,8 @@
|
|
| 2608 |
2017,
|
| 2609 |
2016,
|
| 2610 |
2015,
|
| 2611 |
-
2014
|
|
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|
| 2612 |
]
|
| 2613 |
},
|
| 2614 |
"applied.demand-forecasting": {
|
|
@@ -2626,7 +2630,8 @@
|
|
| 2626 |
2017,
|
| 2627 |
2016,
|
| 2628 |
2015,
|
| 2629 |
-
2014
|
|
|
|
| 2630 |
]
|
| 2631 |
},
|
| 2632 |
"applied.dynamic-pricing": {
|
|
@@ -2644,7 +2649,8 @@
|
|
| 2644 |
2017,
|
| 2645 |
2016,
|
| 2646 |
2015,
|
| 2647 |
-
2014
|
|
|
|
| 2648 |
]
|
| 2649 |
},
|
| 2650 |
"applied.ecological-forecasting": {
|
|
@@ -2662,7 +2668,8 @@
|
|
| 2662 |
2017,
|
| 2663 |
2016,
|
| 2664 |
2015,
|
| 2665 |
-
2014
|
|
|
|
| 2666 |
]
|
| 2667 |
},
|
| 2668 |
"applied.educational-data-mining": {
|
|
@@ -2680,7 +2687,8 @@
|
|
| 2680 |
2017,
|
| 2681 |
2016,
|
| 2682 |
2015,
|
| 2683 |
-
2014
|
|
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|
| 2684 |
]
|
| 2685 |
},
|
| 2686 |
"applied.energy-load-forecasting": {
|
|
@@ -2698,7 +2706,8 @@
|
|
| 2698 |
2017,
|
| 2699 |
2016,
|
| 2700 |
2015,
|
| 2701 |
-
2014
|
|
|
|
| 2702 |
]
|
| 2703 |
},
|
| 2704 |
"applied.fraud-detection": {
|
|
@@ -2716,7 +2725,8 @@
|
|
| 2716 |
2017,
|
| 2717 |
2016,
|
| 2718 |
2015,
|
| 2719 |
-
2014
|
|
|
|
| 2720 |
]
|
| 2721 |
},
|
| 2722 |
"applied.industrial-defect-detection": {
|
|
@@ -3722,7 +3732,8 @@
|
|
| 3722 |
2017,
|
| 3723 |
2016,
|
| 3724 |
2015,
|
| 3725 |
-
2014
|
|
|
|
| 3726 |
]
|
| 3727 |
},
|
| 3728 |
"bio.metagenomics": {
|
|
@@ -3740,7 +3751,8 @@
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|
| 3740 |
2017,
|
| 3741 |
2016,
|
| 3742 |
2015,
|
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-
2014
|
|
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|
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]
|
| 3745 |
},
|
| 3746 |
"bio.microbiome": {
|
|
@@ -3758,7 +3770,8 @@
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2017,
|
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2016,
|
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2015,
|
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-
2014
|
|
|
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| 3762 |
]
|
| 3763 |
},
|
| 3764 |
"bio.microscopy-cell-analysis": {
|
|
@@ -3776,7 +3789,8 @@
|
|
| 3776 |
2017,
|
| 3777 |
2016,
|
| 3778 |
2015,
|
| 3779 |
-
2014
|
|
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|
| 3780 |
]
|
| 3781 |
},
|
| 3782 |
"bio.molecular-dynamics": {
|
|
@@ -3794,7 +3808,8 @@
|
|
| 3794 |
2017,
|
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2016,
|
| 3796 |
2015,
|
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-
2014
|
|
|
|
| 3798 |
]
|
| 3799 |
},
|
| 3800 |
"bio.molecular-force-fields": {
|
|
@@ -3812,7 +3827,8 @@
|
|
| 3812 |
2017,
|
| 3813 |
2016,
|
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2015,
|
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-
2014
|
|
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|
| 3816 |
]
|
| 3817 |
},
|
| 3818 |
"bio.phylogenetics": {
|
|
@@ -3830,7 +3846,8 @@
|
|
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2017,
|
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2016,
|
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2015,
|
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-
2014
|
|
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|
| 3834 |
]
|
| 3835 |
},
|
| 3836 |
"bio.protein-design": {
|
|
@@ -3848,7 +3865,8 @@
|
|
| 3848 |
2017,
|
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2016,
|
| 3850 |
2015,
|
| 3851 |
-
2014
|
|
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|
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]
|
| 3853 |
},
|
| 3854 |
"bio.protein-folding": {
|
|
@@ -3866,7 +3884,8 @@
|
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| 3866 |
2017,
|
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2016,
|
| 3868 |
2015,
|
| 3869 |
-
2014
|
|
|
|
| 3870 |
]
|
| 3871 |
},
|
| 3872 |
"bio.protein-interactions": {
|
|
@@ -3884,7 +3903,8 @@
|
|
| 3884 |
2017,
|
| 3885 |
2016,
|
| 3886 |
2015,
|
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-
2014
|
|
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|
| 3888 |
]
|
| 3889 |
},
|
| 3890 |
"bio.protein-structure": {
|
|
@@ -4577,7 +4597,8 @@
|
|
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2017,
|
| 4578 |
2016,
|
| 4579 |
2015,
|
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-
2014
|
|
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|
| 4581 |
]
|
| 4582 |
},
|
| 4583 |
"efficiency.gpu-kernels": {
|
|
@@ -4595,7 +4616,8 @@
|
|
| 4595 |
2017,
|
| 4596 |
2016,
|
| 4597 |
2015,
|
| 4598 |
-
2014
|
|
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|
| 4599 |
]
|
| 4600 |
},
|
| 4601 |
"efficiency.gradient-optimization": {
|
|
@@ -4613,7 +4635,8 @@
|
|
| 4613 |
2017,
|
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2016,
|
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2015,
|
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-
2014
|
|
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|
| 4617 |
]
|
| 4618 |
},
|
| 4619 |
"efficiency.hyperparameter-optimization": {
|
|
@@ -4631,7 +4654,8 @@
|
|
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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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|
| 4635 |
]
|
| 4636 |
},
|
| 4637 |
"efficiency.inference-systems": {
|
|
@@ -4649,7 +4673,8 @@
|
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2017,
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2016,
|
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2015,
|
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-
2014
|
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| 4653 |
]
|
| 4654 |
},
|
| 4655 |
"efficiency.knowledge-distillation": {
|
|
@@ -4667,7 +4692,8 @@
|
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2017,
|
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2016,
|
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2015,
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-
2014
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]
|
| 4672 |
},
|
| 4673 |
"efficiency.kv-cache": {
|
|
@@ -4685,7 +4711,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
| 4690 |
},
|
| 4691 |
"efficiency.lora": {
|
|
@@ -4703,7 +4730,8 @@
|
|
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2017,
|
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2016,
|
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2015,
|
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-
2014
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]
|
| 4708 |
},
|
| 4709 |
"efficiency.low-rank-factorization": {
|
|
@@ -4721,7 +4749,8 @@
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2017,
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2016,
|
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2015,
|
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-
2014
|
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|
| 4725 |
]
|
| 4726 |
},
|
| 4727 |
"efficiency.mixed-precision-training": {
|
|
@@ -4739,7 +4768,8 @@
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2017,
|
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2016,
|
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2015,
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-
2014
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]
|
| 4744 |
},
|
| 4745 |
"efficiency.mixture-of-experts": {
|
|
@@ -5088,7 +5118,8 @@
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2017,
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2016,
|
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2015,
|
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-
2014
|
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|
| 5092 |
]
|
| 5093 |
},
|
| 5094 |
"gap2026.econometrics-double-ml": {
|
|
@@ -5106,7 +5137,8 @@
|
|
| 5106 |
2017,
|
| 5107 |
2016,
|
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2015,
|
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-
2014
|
|
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|
| 5110 |
]
|
| 5111 |
},
|
| 5112 |
"gap2026.econometrics-heterogeneous-effects": {
|
|
@@ -5124,7 +5156,8 @@
|
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| 5124 |
2017,
|
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2016,
|
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2015,
|
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-
2014
|
|
|
|
| 5128 |
]
|
| 5129 |
},
|
| 5130 |
"gap2026.econometrics-policy-learning": {
|
|
@@ -5142,7 +5175,8 @@
|
|
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2017,
|
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2016,
|
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2015,
|
| 5145 |
-
2014
|
|
|
|
| 5146 |
]
|
| 5147 |
},
|
| 5148 |
"gap2026.forecasting-count-data": {
|
|
@@ -5160,7 +5194,8 @@
|
|
| 5160 |
2017,
|
| 5161 |
2016,
|
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2015,
|
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-
2014
|
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| 5164 |
]
|
| 5165 |
},
|
| 5166 |
"gap2026.forecasting-hierarchical": {
|
|
@@ -5178,7 +5213,8 @@
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2017,
|
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2016,
|
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2015,
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-
2014
|
|
|
|
| 5182 |
]
|
| 5183 |
},
|
| 5184 |
"gap2026.forecasting-intermittent-demand": {
|
|
@@ -5196,7 +5232,8 @@
|
|
| 5196 |
2017,
|
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2016,
|
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2015,
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-
2014
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| 5200 |
]
|
| 5201 |
},
|
| 5202 |
"gap2026.forecasting-quantile": {
|
|
@@ -5214,7 +5251,8 @@
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2017,
|
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2016,
|
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2015,
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2014
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]
|
| 5219 |
},
|
| 5220 |
"gap2026.green-ai-carbon": {
|
|
@@ -5232,7 +5270,8 @@
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|
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2017,
|
| 5233 |
2016,
|
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2015,
|
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-
2014
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|
| 5236 |
]
|
| 5237 |
},
|
| 5238 |
"gap2026.green-ai-carbon-aware-scheduling": {
|
|
@@ -5250,7 +5289,8 @@
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| 5250 |
2017,
|
| 5251 |
2016,
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2015,
|
| 5253 |
-
2014
|
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|
| 5254 |
]
|
| 5255 |
},
|
| 5256 |
"gap2026.green-ai-efficient-inference": {
|
|
@@ -5617,7 +5657,8 @@
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2017,
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2016,
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2015,
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2014
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]
|
| 5622 |
},
|
| 5623 |
"general.contrastive-learning": {
|
|
@@ -5635,7 +5676,8 @@
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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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},
|
| 5641 |
"general.decision-trees": {
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|
@@ -5653,7 +5695,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
| 5658 |
},
|
| 5659 |
"general.deep-learning-description": {
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@@ -5671,7 +5714,8 @@
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2017,
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2016,
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2015,
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2014
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]
|
| 5676 |
},
|
| 5677 |
"general.deep-learning-readme": {
|
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@@ -5689,7 +5733,8 @@
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2017,
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2015,
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]
|
| 5694 |
},
|
| 5695 |
"general.dimensionality-reduction": {
|
|
@@ -5707,7 +5752,8 @@
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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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},
|
| 5713 |
"general.domain-adaptation": {
|
|
@@ -5725,7 +5771,8 @@
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2017,
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2016,
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2015,
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2014
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]
|
| 5730 |
},
|
| 5731 |
"general.gaussian-mixture-models": {
|
|
@@ -5743,7 +5790,8 @@
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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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},
|
| 5749 |
"general.gaussian-process": {
|
|
@@ -5761,7 +5809,8 @@
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2017,
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2016,
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2015,
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2014
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]
|
| 5766 |
},
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| 5767 |
"general.gradient-boosting": {
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@@ -5779,7 +5828,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
| 5784 |
},
|
| 5785 |
"general.hidden-markov-models": {
|
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@@ -6416,7 +6466,8 @@
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2017,
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2016,
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2015,
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2014
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| 6420 |
]
|
| 6421 |
},
|
| 6422 |
"geo.geospatial-foundation-models": {
|
|
@@ -6434,7 +6485,8 @@
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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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},
|
| 6440 |
"geo.geospatial-knowledge-graph": {
|
|
@@ -6452,7 +6504,8 @@
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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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},
|
| 6458 |
"geo.hydrology": {
|
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@@ -6470,7 +6523,8 @@
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2017,
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2016,
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2015,
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2014
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]
|
| 6475 |
},
|
| 6476 |
"geo.land-cover": {
|
|
@@ -6488,7 +6542,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
| 6493 |
},
|
| 6494 |
"geo.land-use": {
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@@ -6506,7 +6561,8 @@
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2017,
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2016,
|
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2015,
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2014
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]
|
| 6511 |
},
|
| 6512 |
"geo.lidar": {
|
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@@ -6524,7 +6580,8 @@
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2017,
|
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2016,
|
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2015,
|
| 6527 |
-
2014
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| 6528 |
]
|
| 6529 |
},
|
| 6530 |
"geo.mobility-modeling": {
|
|
@@ -6542,7 +6599,8 @@
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| 6542 |
2017,
|
| 6543 |
2016,
|
| 6544 |
2015,
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2014
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]
|
| 6547 |
},
|
| 6548 |
"geo.object-detection": {
|
|
@@ -6560,7 +6618,8 @@
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2017,
|
| 6561 |
2016,
|
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2015,
|
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2014
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|
| 6564 |
]
|
| 6565 |
},
|
| 6566 |
"geo.ocean-remote-sensing": {
|
|
@@ -6578,7 +6637,8 @@
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|
| 6578 |
2017,
|
| 6579 |
2016,
|
| 6580 |
2015,
|
| 6581 |
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2014
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| 6582 |
]
|
| 6583 |
},
|
| 6584 |
"geo.precipitation-forecasting": {
|
|
@@ -6909,7 +6969,8 @@
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|
| 6909 |
2017,
|
| 6910 |
2016,
|
| 6911 |
2015,
|
| 6912 |
-
2014
|
|
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|
| 6913 |
]
|
| 6914 |
},
|
| 6915 |
"graph.graph-foundation-model": {
|
|
@@ -6927,7 +6988,8 @@
|
|
| 6927 |
2017,
|
| 6928 |
2016,
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"graph.graph-generation": {
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"graph.hypergraph-neural-network": {
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"graph.knowledge-graph-embedding": {
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2017,
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"graph.link-prediction": {
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"graph.mesh-graph-learning": {
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2017,
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"graph.molecular-graphs": {
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"llm.large-language-model": {
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"llm.long-context": {
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"llm.multimodal": {
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"llm.parameter-efficient-finetuning": {
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"llm.preference-optimization": {
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"llm.quantization": {
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"medical.eeg": {
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"medical.histopathology": {
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]
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"medical.medical-image-reconstruction": {
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2017,
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"medical.medical-image-registration": {
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"medical.medical-image-segmentation": {
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2017,
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"medical.medical-imaging": {
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"medical.medical-language-model": {
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"medical.medical-robotics": {
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2017,
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2016,
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2015,
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"multimodal.image-to-3d": {
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2017,
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"multimodal.image-to-video": {
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2017,
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"multimodal.motion-generation": {
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"multimodal.nerf": {
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"multimodal.neural-rendering": {
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"multimodal.point-cloud": {
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"multimodal.scene-understanding": {
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"multimodal.text-to-3d": {
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"multimodal.text-to-image": {
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"multimodal.text-to-video": {
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"nlp.named-entity-recognition": {
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"nlp.neural-reranking": {
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"nlp.question-answering": {
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"nlp.rag": {
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"nlp.semantic-search": {
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"nlp.subword-tokenization": {
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"nlp.text-classification": {
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"nlp.text-generation": {
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"nlp.text-summarization": {
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"probable.data-training-selection": {
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"probable.evaluation-ml-benchmark": {
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"probable.evaluation-model-calibration-readme": {
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"probable.evaluation-ood-readme": {
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"probable.scientific-data-assimilation": {
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"probable.scientific-reduced-order-modeling": {
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"probable.scientific-surrogate-modeling": {
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"probable.scientific-system-identification": {
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"recall.archaeological-remote-sensing": {
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"recall.epidemiological-modeling": {
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"recall.grid-stability-prediction": {
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2017,
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2016,
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]
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},
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"recall.historical-document-recognition": {
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2017,
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2016,
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2015,
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},
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"recall.infrastructure-damage-detection": {
|
|
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2017,
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2016,
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2015,
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]
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},
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"recall.insurance-risk-modeling": {
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2017,
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2016,
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},
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"recall.legal-document-classification": {
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2017,
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},
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"recall.legal-nlp": {
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2017,
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2016,
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},
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"recall.name.artificial-intelligence": {
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2017,
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2016,
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]
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},
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"recall.name.deep-learning": {
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2017,
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2016,
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]
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},
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"recall.name.diffusion-model": {
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2017,
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2016,
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"rl.bandits": {
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2017,
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"rl.hierarchical": {
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2017,
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"rl.imitation-learning": {
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2017,
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2016,
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"rl.inverse": {
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2017,
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2015,
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"rl.model-based": {
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"rl.model-free": {
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"rl.multiagent": {
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2017,
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"rl.offline": {
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"rl.planning": {
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"rl.policy-gradient": {
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2017,
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]
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"rl.ppo": {
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2017,
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2016,
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},
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"robotics.manipulation": {
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"robotics.navigation": {
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2017,
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]
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"robotics.robot-control": {
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2016,
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2015,
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]
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"robotics.robot-foundation-model": {
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2017,
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2016,
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2015,
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]
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},
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"robotics.robot-learning": {
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2017,
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2016,
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2015,
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]
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},
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"robotics.robot-manipulation-learning": {
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@@ -11004,7 +11150,8 @@
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2017,
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2016,
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2015,
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]
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},
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"robotics.robot-motion-planning": {
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2017,
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2016,
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2015,
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]
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},
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"robotics.robotics-reinforcement-learning": {
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@@ -11040,7 +11188,8 @@
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2017,
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2016,
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2015,
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]
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},
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"robotics.robotics-topic": {
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2017,
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2016,
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2015,
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"robotics.sim2real": {
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2017,
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2016,
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2015,
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]
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},
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"science.fluid-dynamics": {
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2017,
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2016,
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2015,
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]
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"science.fusion-plasma": {
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2017,
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2016,
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2015,
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"science.gravitational-waves": {
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2017,
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2016,
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2015,
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]
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"science.inverse-problems": {
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2017,
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2016,
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2015,
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]
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},
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"science.neural-operators": {
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2017,
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2016,
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2015,
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]
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},
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"science.ocean-modeling": {
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2017,
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2016,
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2015,
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]
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},
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"science.particle-physics": {
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2017,
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2016,
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2015,
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]
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},
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"science.photonics": {
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2017,
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]
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"science.physics": {
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]
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"science.physics-informed-neural-networks": {
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2017,
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]
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},
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"science.plasma-physics": {
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2017,
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2016,
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2015,
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]
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},
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"specialized.event-camera-deep-learning": {
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2017,
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2015,
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]
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"specialized.fmri-decoding-ml": {
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2017,
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2016,
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2015,
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"specialized.machine-unlearning": {
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2017,
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]
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},
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"specialized.mechanistic-interpretability": {
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"specialized.medical-image-registration-deep-learning": {
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2017,
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2016,
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2015,
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},
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"specialized.pathology-foundation-model": {
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2016,
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2015,
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"specialized.spiking-neural-network": {
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"specialized.test-time-adaptation": {
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"timeseries.anomaly-detection": {
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"timeseries.imputation": {
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"timeseries.long-horizon": {
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"timeseries.multivariate": {
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"timeseries.nbeats": {
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"timeseries.patchtst": {
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"timeseries.predictive-maintenance": {
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"timeseries.probabilistic-forecasting": {
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"timeseries.remaining-useful-life": {
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"timeseries.sensor-data": {
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"timeseries.state-space-models": {
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2017,
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2015,
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"trust.causal-mediation": {
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2017,
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2015,
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"trust.causal-ml": {
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2017,
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2016,
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"trust.causal-representation-learning": {
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2017,
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2016,
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2015,
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"trust.conformal-prediction": {
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2017,
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2016,
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2015,
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},
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"trust.counterfactual-explanations": {
|
|
@@ -12612,7 +12797,8 @@
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2017,
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2016,
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"trust.differential-privacy": {
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"trust.distribution-shift": {
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"trust.domain-generalization": {
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"trust.explainable-ai": {
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"trust.federated-learning": {
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"vision.image-super-resolution": {
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"vision.image-to-image-translation": {
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"vision.neural-rendering": {
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"vision.object-detection": {
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"vision.object-tracking": {
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"vision.ocr": {
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"vision.open-vocabulary-detection": {
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"vision.optical-flow": {
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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": "2026-11-
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2017,
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2016,
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2015,
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"applied.demand-forecasting": {
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2017,
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2015,
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2017,
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2016,
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2015,
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2015,
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2017,
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2016,
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2015,
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2017,
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2016,
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2017,
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2016,
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2015,
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2017,
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2016,
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2015,
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2017,
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2016,
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2015,
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},
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2017,
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2016,
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2015,
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2017,
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2016,
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2015,
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2017,
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2016,
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2015,
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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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2017,
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2016,
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2015,
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]
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},
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2017,
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2016,
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2015,
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2017,
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2016,
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2015,
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},
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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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2017,
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2016,
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2015,
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},
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]
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},
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2017,
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2016,
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2015,
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]
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},
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2017,
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2016,
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2015,
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},
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2017,
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2016,
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2015,
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2016,
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},
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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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2017,
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2016,
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2015,
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]
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},
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2017,
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2016,
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2015,
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+
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]
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},
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2017,
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2016,
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2015,
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2013
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]
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},
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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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2017,
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2016,
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2015,
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2013
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]
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},
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2017,
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2016,
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2015,
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+
2014,
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
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+
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]
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},
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2017,
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2016,
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2015,
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+
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
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+
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]
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},
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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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},
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2017,
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2016,
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2015,
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+
2014,
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
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+
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]
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},
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2017,
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2016,
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2015,
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2013
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]
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},
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2017,
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2016,
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2015,
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+
2014,
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
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+
2013
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]
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},
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2017,
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2016,
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2015,
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+
2014,
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+
2013
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]
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},
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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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},
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2017,
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2016,
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2015,
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+
2014,
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+
2013
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]
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},
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"general.gradient-boosting": {
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2017,
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2016,
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2015,
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+
2014,
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+
2013
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]
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| 5834 |
},
|
| 5835 |
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|
|
|
|
| 6466 |
2017,
|
| 6467 |
2016,
|
| 6468 |
2015,
|
| 6469 |
+
2014,
|
| 6470 |
+
2013
|
| 6471 |
]
|
| 6472 |
},
|
| 6473 |
"geo.geospatial-foundation-models": {
|
|
|
|
| 6485 |
2017,
|
| 6486 |
2016,
|
| 6487 |
2015,
|
| 6488 |
+
2014,
|
| 6489 |
+
2013
|
| 6490 |
]
|
| 6491 |
},
|
| 6492 |
"geo.geospatial-knowledge-graph": {
|
|
|
|
| 6504 |
2017,
|
| 6505 |
2016,
|
| 6506 |
2015,
|
| 6507 |
+
2014,
|
| 6508 |
+
2013
|
| 6509 |
]
|
| 6510 |
},
|
| 6511 |
"geo.hydrology": {
|
|
|
|
| 6523 |
2017,
|
| 6524 |
2016,
|
| 6525 |
2015,
|
| 6526 |
+
2014,
|
| 6527 |
+
2013
|
| 6528 |
]
|
| 6529 |
},
|
| 6530 |
"geo.land-cover": {
|
|
|
|
| 6542 |
2017,
|
| 6543 |
2016,
|
| 6544 |
2015,
|
| 6545 |
+
2014,
|
| 6546 |
+
2013
|
| 6547 |
]
|
| 6548 |
},
|
| 6549 |
"geo.land-use": {
|
|
|
|
| 6561 |
2017,
|
| 6562 |
2016,
|
| 6563 |
2015,
|
| 6564 |
+
2014,
|
| 6565 |
+
2013
|
| 6566 |
]
|
| 6567 |
},
|
| 6568 |
"geo.lidar": {
|
|
|
|
| 6580 |
2017,
|
| 6581 |
2016,
|
| 6582 |
2015,
|
| 6583 |
+
2014,
|
| 6584 |
+
2013
|
| 6585 |
]
|
| 6586 |
},
|
| 6587 |
"geo.mobility-modeling": {
|
|
|
|
| 6599 |
2017,
|
| 6600 |
2016,
|
| 6601 |
2015,
|
| 6602 |
+
2014,
|
| 6603 |
+
2013
|
| 6604 |
]
|
| 6605 |
},
|
| 6606 |
"geo.object-detection": {
|
|
|
|
| 6618 |
2017,
|
| 6619 |
2016,
|
| 6620 |
2015,
|
| 6621 |
+
2014,
|
| 6622 |
+
2013
|
| 6623 |
]
|
| 6624 |
},
|
| 6625 |
"geo.ocean-remote-sensing": {
|
|
|
|
| 6637 |
2017,
|
| 6638 |
2016,
|
| 6639 |
2015,
|
| 6640 |
+
2014,
|
| 6641 |
+
2013
|
| 6642 |
]
|
| 6643 |
},
|
| 6644 |
"geo.precipitation-forecasting": {
|
|
|
|
| 6969 |
2017,
|
| 6970 |
2016,
|
| 6971 |
2015,
|
| 6972 |
+
2014,
|
| 6973 |
+
2013
|
| 6974 |
]
|
| 6975 |
},
|
| 6976 |
"graph.graph-foundation-model": {
|
|
|
|
| 6988 |
2017,
|
| 6989 |
2016,
|
| 6990 |
2015,
|
| 6991 |
+
2014,
|
| 6992 |
+
2013
|
| 6993 |
]
|
| 6994 |
},
|
| 6995 |
"graph.graph-generation": {
|
|
|
|
| 7007 |
2017,
|
| 7008 |
2016,
|
| 7009 |
2015,
|
| 7010 |
+
2014,
|
| 7011 |
+
2013
|
| 7012 |
]
|
| 7013 |
},
|
| 7014 |
"graph.graph-transformer": {
|
|
|
|
| 7026 |
2017,
|
| 7027 |
2016,
|
| 7028 |
2015,
|
| 7029 |
+
2014,
|
| 7030 |
+
2013
|
| 7031 |
]
|
| 7032 |
},
|
| 7033 |
"graph.hypergraph-neural-network": {
|
|
|
|
| 7045 |
2017,
|
| 7046 |
2016,
|
| 7047 |
2015,
|
| 7048 |
+
2014,
|
| 7049 |
+
2013
|
| 7050 |
]
|
| 7051 |
},
|
| 7052 |
"graph.knowledge-graph-embedding": {
|
|
|
|
| 7064 |
2017,
|
| 7065 |
2016,
|
| 7066 |
2015,
|
| 7067 |
+
2014,
|
| 7068 |
+
2013
|
| 7069 |
]
|
| 7070 |
},
|
| 7071 |
"graph.knowledge-graphs": {
|
|
|
|
| 7083 |
2017,
|
| 7084 |
2016,
|
| 7085 |
2015,
|
| 7086 |
+
2014,
|
| 7087 |
+
2013
|
| 7088 |
]
|
| 7089 |
},
|
| 7090 |
"graph.link-prediction": {
|
|
|
|
| 7102 |
2017,
|
| 7103 |
2016,
|
| 7104 |
2015,
|
| 7105 |
+
2014,
|
| 7106 |
+
2013
|
| 7107 |
]
|
| 7108 |
},
|
| 7109 |
"graph.manifold-learning": {
|
|
|
|
| 7121 |
2017,
|
| 7122 |
2016,
|
| 7123 |
2015,
|
| 7124 |
+
2014,
|
| 7125 |
+
2013
|
| 7126 |
]
|
| 7127 |
},
|
| 7128 |
"graph.mesh-graph-learning": {
|
|
|
|
| 7140 |
2017,
|
| 7141 |
2016,
|
| 7142 |
2015,
|
| 7143 |
+
2014,
|
| 7144 |
+
2013
|
| 7145 |
]
|
| 7146 |
},
|
| 7147 |
"graph.molecular-graphs": {
|
|
|
|
| 7548 |
2017,
|
| 7549 |
2016,
|
| 7550 |
2015,
|
| 7551 |
+
2014,
|
| 7552 |
+
2013
|
| 7553 |
]
|
| 7554 |
},
|
| 7555 |
"llm.generative-ai": {
|
|
|
|
| 7567 |
2017,
|
| 7568 |
2016,
|
| 7569 |
2015,
|
| 7570 |
+
2014,
|
| 7571 |
+
2013
|
| 7572 |
]
|
| 7573 |
},
|
| 7574 |
"llm.instruction-tuning": {
|
|
|
|
| 7586 |
2017,
|
| 7587 |
2016,
|
| 7588 |
2015,
|
| 7589 |
+
2014,
|
| 7590 |
+
2013
|
| 7591 |
]
|
| 7592 |
},
|
| 7593 |
"llm.language-model": {
|
|
|
|
| 7605 |
2017,
|
| 7606 |
2016,
|
| 7607 |
2015,
|
| 7608 |
+
2014,
|
| 7609 |
+
2013
|
| 7610 |
]
|
| 7611 |
},
|
| 7612 |
"llm.language-models": {
|
|
|
|
| 7624 |
2017,
|
| 7625 |
2016,
|
| 7626 |
2015,
|
| 7627 |
+
2014,
|
| 7628 |
+
2013
|
| 7629 |
]
|
| 7630 |
},
|
| 7631 |
"llm.large-language-model": {
|
|
|
|
| 7643 |
2017,
|
| 7644 |
2016,
|
| 7645 |
2015,
|
| 7646 |
+
2014,
|
| 7647 |
+
2013
|
| 7648 |
]
|
| 7649 |
},
|
| 7650 |
"llm.long-context": {
|
|
|
|
| 7662 |
2017,
|
| 7663 |
2016,
|
| 7664 |
2015,
|
| 7665 |
+
2014,
|
| 7666 |
+
2013
|
| 7667 |
]
|
| 7668 |
},
|
| 7669 |
"llm.multimodal": {
|
|
|
|
| 7681 |
2017,
|
| 7682 |
2016,
|
| 7683 |
2015,
|
| 7684 |
+
2014,
|
| 7685 |
+
2013
|
| 7686 |
]
|
| 7687 |
},
|
| 7688 |
"llm.parameter-efficient-finetuning": {
|
|
|
|
| 7700 |
2017,
|
| 7701 |
2016,
|
| 7702 |
2015,
|
| 7703 |
+
2014,
|
| 7704 |
+
2013
|
| 7705 |
]
|
| 7706 |
},
|
| 7707 |
"llm.preference-optimization": {
|
|
|
|
| 7719 |
2017,
|
| 7720 |
2016,
|
| 7721 |
2015,
|
| 7722 |
+
2014,
|
| 7723 |
+
2013
|
| 7724 |
]
|
| 7725 |
},
|
| 7726 |
"llm.quantization": {
|
|
|
|
| 8112 |
2017,
|
| 8113 |
2016,
|
| 8114 |
2015,
|
| 8115 |
+
2014,
|
| 8116 |
+
2013
|
| 8117 |
]
|
| 8118 |
},
|
| 8119 |
"medical.eeg": {
|
|
|
|
| 8131 |
2017,
|
| 8132 |
2016,
|
| 8133 |
2015,
|
| 8134 |
+
2014,
|
| 8135 |
+
2013
|
| 8136 |
]
|
| 8137 |
},
|
| 8138 |
"medical.ehr": {
|
|
|
|
| 8150 |
2017,
|
| 8151 |
2016,
|
| 8152 |
2015,
|
| 8153 |
+
2014,
|
| 8154 |
+
2013
|
| 8155 |
]
|
| 8156 |
},
|
| 8157 |
"medical.genomics": {
|
|
|
|
| 8169 |
2017,
|
| 8170 |
2016,
|
| 8171 |
2015,
|
| 8172 |
+
2014,
|
| 8173 |
+
2013
|
| 8174 |
]
|
| 8175 |
},
|
| 8176 |
"medical.histopathology": {
|
|
|
|
| 8188 |
2017,
|
| 8189 |
2016,
|
| 8190 |
2015,
|
| 8191 |
+
2014,
|
| 8192 |
+
2013
|
| 8193 |
]
|
| 8194 |
},
|
| 8195 |
"medical.medical-image-reconstruction": {
|
|
|
|
| 8207 |
2017,
|
| 8208 |
2016,
|
| 8209 |
2015,
|
| 8210 |
+
2014,
|
| 8211 |
+
2013
|
| 8212 |
]
|
| 8213 |
},
|
| 8214 |
"medical.medical-image-registration": {
|
|
|
|
| 8226 |
2017,
|
| 8227 |
2016,
|
| 8228 |
2015,
|
| 8229 |
+
2014,
|
| 8230 |
+
2013
|
| 8231 |
]
|
| 8232 |
},
|
| 8233 |
"medical.medical-image-segmentation": {
|
|
|
|
| 8245 |
2017,
|
| 8246 |
2016,
|
| 8247 |
2015,
|
| 8248 |
+
2014,
|
| 8249 |
+
2013
|
| 8250 |
]
|
| 8251 |
},
|
| 8252 |
"medical.medical-imaging": {
|
|
|
|
| 8264 |
2017,
|
| 8265 |
2016,
|
| 8266 |
2015,
|
| 8267 |
+
2014,
|
| 8268 |
+
2013
|
| 8269 |
]
|
| 8270 |
},
|
| 8271 |
"medical.medical-language-model": {
|
|
|
|
| 8283 |
2017,
|
| 8284 |
2016,
|
| 8285 |
2015,
|
| 8286 |
+
2014,
|
| 8287 |
+
2013
|
| 8288 |
]
|
| 8289 |
},
|
| 8290 |
"medical.medical-robotics": {
|
|
|
|
| 8615 |
2017,
|
| 8616 |
2016,
|
| 8617 |
2015,
|
| 8618 |
+
2014,
|
| 8619 |
+
2013
|
| 8620 |
]
|
| 8621 |
},
|
| 8622 |
"multimodal.image-to-3d": {
|
|
|
|
| 8634 |
2017,
|
| 8635 |
2016,
|
| 8636 |
2015,
|
| 8637 |
+
2014,
|
| 8638 |
+
2013
|
| 8639 |
]
|
| 8640 |
},
|
| 8641 |
"multimodal.image-to-video": {
|
|
|
|
| 8653 |
2017,
|
| 8654 |
2016,
|
| 8655 |
2015,
|
| 8656 |
+
2014,
|
| 8657 |
+
2013
|
| 8658 |
]
|
| 8659 |
},
|
| 8660 |
"multimodal.motion-generation": {
|
|
|
|
| 8672 |
2017,
|
| 8673 |
2016,
|
| 8674 |
2015,
|
| 8675 |
+
2014,
|
| 8676 |
+
2013
|
| 8677 |
]
|
| 8678 |
},
|
| 8679 |
"multimodal.nerf": {
|
|
|
|
| 8691 |
2017,
|
| 8692 |
2016,
|
| 8693 |
2015,
|
| 8694 |
+
2014,
|
| 8695 |
+
2013
|
| 8696 |
]
|
| 8697 |
},
|
| 8698 |
"multimodal.neural-rendering": {
|
|
|
|
| 8710 |
2017,
|
| 8711 |
2016,
|
| 8712 |
2015,
|
| 8713 |
+
2014,
|
| 8714 |
+
2013
|
| 8715 |
]
|
| 8716 |
},
|
| 8717 |
"multimodal.point-cloud": {
|
|
|
|
| 8729 |
2017,
|
| 8730 |
2016,
|
| 8731 |
2015,
|
| 8732 |
+
2014,
|
| 8733 |
+
2013
|
| 8734 |
]
|
| 8735 |
},
|
| 8736 |
"multimodal.scene-understanding": {
|
|
|
|
| 8748 |
2017,
|
| 8749 |
2016,
|
| 8750 |
2015,
|
| 8751 |
+
2014,
|
| 8752 |
+
2013
|
| 8753 |
]
|
| 8754 |
},
|
| 8755 |
"multimodal.text-to-3d": {
|
|
|
|
| 8767 |
2017,
|
| 8768 |
2016,
|
| 8769 |
2015,
|
| 8770 |
+
2014,
|
| 8771 |
+
2013
|
| 8772 |
]
|
| 8773 |
},
|
| 8774 |
"multimodal.text-to-image": {
|
|
|
|
| 8786 |
2017,
|
| 8787 |
2016,
|
| 8788 |
2015,
|
| 8789 |
+
2014,
|
| 8790 |
+
2013
|
| 8791 |
]
|
| 8792 |
},
|
| 8793 |
"multimodal.text-to-video": {
|
|
|
|
| 9215 |
2017,
|
| 9216 |
2016,
|
| 9217 |
2015,
|
| 9218 |
+
2014,
|
| 9219 |
+
2013
|
| 9220 |
]
|
| 9221 |
},
|
| 9222 |
"nlp.named-entity-recognition": {
|
|
|
|
| 9234 |
2017,
|
| 9235 |
2016,
|
| 9236 |
2015,
|
| 9237 |
+
2014,
|
| 9238 |
+
2013
|
| 9239 |
]
|
| 9240 |
},
|
| 9241 |
"nlp.neural-reranking": {
|
|
|
|
| 9253 |
2017,
|
| 9254 |
2016,
|
| 9255 |
2015,
|
| 9256 |
+
2014,
|
| 9257 |
+
2013
|
| 9258 |
]
|
| 9259 |
},
|
| 9260 |
"nlp.question-answering": {
|
|
|
|
| 9272 |
2017,
|
| 9273 |
2016,
|
| 9274 |
2015,
|
| 9275 |
+
2014,
|
| 9276 |
+
2013
|
| 9277 |
]
|
| 9278 |
},
|
| 9279 |
"nlp.rag": {
|
|
|
|
| 9291 |
2017,
|
| 9292 |
2016,
|
| 9293 |
2015,
|
| 9294 |
+
2014,
|
| 9295 |
+
2013
|
| 9296 |
]
|
| 9297 |
},
|
| 9298 |
"nlp.semantic-search": {
|
|
|
|
| 9310 |
2017,
|
| 9311 |
2016,
|
| 9312 |
2015,
|
| 9313 |
+
2014,
|
| 9314 |
+
2013
|
| 9315 |
]
|
| 9316 |
},
|
| 9317 |
"nlp.sentence-embeddings": {
|
|
|
|
| 9329 |
2017,
|
| 9330 |
2016,
|
| 9331 |
2015,
|
| 9332 |
+
2014,
|
| 9333 |
+
2013
|
| 9334 |
]
|
| 9335 |
},
|
| 9336 |
"nlp.subword-tokenization": {
|
|
|
|
| 9348 |
2017,
|
| 9349 |
2016,
|
| 9350 |
2015,
|
| 9351 |
+
2014,
|
| 9352 |
+
2013
|
| 9353 |
]
|
| 9354 |
},
|
| 9355 |
"nlp.text-classification": {
|
|
|
|
| 9367 |
2017,
|
| 9368 |
2016,
|
| 9369 |
2015,
|
| 9370 |
+
2014,
|
| 9371 |
+
2013
|
| 9372 |
]
|
| 9373 |
},
|
| 9374 |
"nlp.text-generation": {
|
|
|
|
| 9386 |
2017,
|
| 9387 |
2016,
|
| 9388 |
2015,
|
| 9389 |
+
2014,
|
| 9390 |
+
2013
|
| 9391 |
]
|
| 9392 |
},
|
| 9393 |
"nlp.text-summarization": {
|
|
|
|
| 9574 |
2017,
|
| 9575 |
2016,
|
| 9576 |
2015,
|
| 9577 |
+
2014,
|
| 9578 |
+
2013
|
| 9579 |
]
|
| 9580 |
},
|
| 9581 |
"probable.data-training-selection": {
|
|
|
|
| 9593 |
2017,
|
| 9594 |
2016,
|
| 9595 |
2015,
|
| 9596 |
+
2014,
|
| 9597 |
+
2013
|
| 9598 |
]
|
| 9599 |
},
|
| 9600 |
"probable.evaluation-ml-benchmark": {
|
|
|
|
| 9612 |
2017,
|
| 9613 |
2016,
|
| 9614 |
2015,
|
| 9615 |
+
2014,
|
| 9616 |
+
2013
|
| 9617 |
]
|
| 9618 |
},
|
| 9619 |
"probable.evaluation-model-calibration-readme": {
|
|
|
|
| 9631 |
2017,
|
| 9632 |
2016,
|
| 9633 |
2015,
|
| 9634 |
+
2014,
|
| 9635 |
+
2013
|
| 9636 |
]
|
| 9637 |
},
|
| 9638 |
"probable.evaluation-ood-readme": {
|
|
|
|
| 9650 |
2017,
|
| 9651 |
2016,
|
| 9652 |
2015,
|
| 9653 |
+
2014,
|
| 9654 |
+
2013
|
| 9655 |
]
|
| 9656 |
},
|
| 9657 |
"probable.scientific-data-assimilation": {
|
|
|
|
| 9669 |
2017,
|
| 9670 |
2016,
|
| 9671 |
2015,
|
| 9672 |
+
2014,
|
| 9673 |
+
2013
|
| 9674 |
]
|
| 9675 |
},
|
| 9676 |
"probable.scientific-reduced-order-modeling": {
|
|
|
|
| 9688 |
2017,
|
| 9689 |
2016,
|
| 9690 |
2015,
|
| 9691 |
+
2014,
|
| 9692 |
+
2013
|
| 9693 |
]
|
| 9694 |
},
|
| 9695 |
"probable.scientific-surrogate-modeling": {
|
|
|
|
| 9707 |
2017,
|
| 9708 |
2016,
|
| 9709 |
2015,
|
| 9710 |
+
2014,
|
| 9711 |
+
2013
|
| 9712 |
]
|
| 9713 |
},
|
| 9714 |
"probable.scientific-system-identification": {
|
|
|
|
| 9726 |
2017,
|
| 9727 |
2016,
|
| 9728 |
2015,
|
| 9729 |
+
2014,
|
| 9730 |
+
2013
|
| 9731 |
]
|
| 9732 |
},
|
| 9733 |
"recall.archaeological-remote-sensing": {
|
|
|
|
| 9878 |
2017,
|
| 9879 |
2016,
|
| 9880 |
2015,
|
| 9881 |
+
2014,
|
| 9882 |
+
2013
|
| 9883 |
]
|
| 9884 |
},
|
| 9885 |
"recall.epidemiological-modeling": {
|
|
|
|
| 9897 |
2017,
|
| 9898 |
2016,
|
| 9899 |
2015,
|
| 9900 |
+
2014,
|
| 9901 |
+
2013
|
| 9902 |
]
|
| 9903 |
},
|
| 9904 |
"recall.grid-stability-prediction": {
|
|
|
|
| 9916 |
2017,
|
| 9917 |
2016,
|
| 9918 |
2015,
|
| 9919 |
+
2014,
|
| 9920 |
+
2013
|
| 9921 |
]
|
| 9922 |
},
|
| 9923 |
"recall.historical-document-recognition": {
|
|
|
|
| 9935 |
2017,
|
| 9936 |
2016,
|
| 9937 |
2015,
|
| 9938 |
+
2014,
|
| 9939 |
+
2013
|
| 9940 |
]
|
| 9941 |
},
|
| 9942 |
"recall.infrastructure-damage-detection": {
|
|
|
|
| 9954 |
2017,
|
| 9955 |
2016,
|
| 9956 |
2015,
|
| 9957 |
+
2014,
|
| 9958 |
+
2013
|
| 9959 |
]
|
| 9960 |
},
|
| 9961 |
"recall.insurance-risk-modeling": {
|
|
|
|
| 9973 |
2017,
|
| 9974 |
2016,
|
| 9975 |
2015,
|
| 9976 |
+
2014,
|
| 9977 |
+
2013
|
| 9978 |
]
|
| 9979 |
},
|
| 9980 |
"recall.legal-document-classification": {
|
|
|
|
| 9992 |
2017,
|
| 9993 |
2016,
|
| 9994 |
2015,
|
| 9995 |
+
2014,
|
| 9996 |
+
2013
|
| 9997 |
]
|
| 9998 |
},
|
| 9999 |
"recall.legal-nlp": {
|
|
|
|
| 10011 |
2017,
|
| 10012 |
2016,
|
| 10013 |
2015,
|
| 10014 |
+
2014,
|
| 10015 |
+
2013
|
| 10016 |
]
|
| 10017 |
},
|
| 10018 |
"recall.name.artificial-intelligence": {
|
|
|
|
| 10030 |
2017,
|
| 10031 |
2016,
|
| 10032 |
2015,
|
| 10033 |
+
2014,
|
| 10034 |
+
2013
|
| 10035 |
]
|
| 10036 |
},
|
| 10037 |
"recall.name.deep-learning": {
|
|
|
|
| 10049 |
2017,
|
| 10050 |
2016,
|
| 10051 |
2015,
|
| 10052 |
+
2014,
|
| 10053 |
+
2013
|
| 10054 |
]
|
| 10055 |
},
|
| 10056 |
"recall.name.diffusion-model": {
|
|
|
|
| 10471 |
2017,
|
| 10472 |
2016,
|
| 10473 |
2015,
|
| 10474 |
+
2014,
|
| 10475 |
+
2013
|
| 10476 |
]
|
| 10477 |
},
|
| 10478 |
"rl.bandits": {
|
|
|
|
| 10623 |
2017,
|
| 10624 |
2016,
|
| 10625 |
2015,
|
| 10626 |
+
2014,
|
| 10627 |
+
2013
|
| 10628 |
]
|
| 10629 |
},
|
| 10630 |
"rl.hierarchical": {
|
|
|
|
| 10642 |
2017,
|
| 10643 |
2016,
|
| 10644 |
2015,
|
| 10645 |
+
2014,
|
| 10646 |
+
2013
|
| 10647 |
]
|
| 10648 |
},
|
| 10649 |
"rl.imitation-learning": {
|
|
|
|
| 10661 |
2017,
|
| 10662 |
2016,
|
| 10663 |
2015,
|
| 10664 |
+
2014,
|
| 10665 |
+
2013
|
| 10666 |
]
|
| 10667 |
},
|
| 10668 |
"rl.inverse": {
|
|
|
|
| 10680 |
2017,
|
| 10681 |
2016,
|
| 10682 |
2015,
|
| 10683 |
+
2014,
|
| 10684 |
+
2013
|
| 10685 |
]
|
| 10686 |
},
|
| 10687 |
"rl.model-based": {
|
|
|
|
| 10699 |
2017,
|
| 10700 |
2016,
|
| 10701 |
2015,
|
| 10702 |
+
2014,
|
| 10703 |
+
2013
|
| 10704 |
]
|
| 10705 |
},
|
| 10706 |
"rl.model-free": {
|
|
|
|
| 10718 |
2017,
|
| 10719 |
2016,
|
| 10720 |
2015,
|
| 10721 |
+
2014,
|
| 10722 |
+
2013
|
| 10723 |
]
|
| 10724 |
},
|
| 10725 |
"rl.multiagent": {
|
|
|
|
| 10737 |
2017,
|
| 10738 |
2016,
|
| 10739 |
2015,
|
| 10740 |
+
2014,
|
| 10741 |
+
2013
|
| 10742 |
]
|
| 10743 |
},
|
| 10744 |
"rl.offline": {
|
|
|
|
| 10756 |
2017,
|
| 10757 |
2016,
|
| 10758 |
2015,
|
| 10759 |
+
2014,
|
| 10760 |
+
2013
|
| 10761 |
]
|
| 10762 |
},
|
| 10763 |
"rl.planning": {
|
|
|
|
| 10775 |
2017,
|
| 10776 |
2016,
|
| 10777 |
2015,
|
| 10778 |
+
2014,
|
| 10779 |
+
2013
|
| 10780 |
]
|
| 10781 |
},
|
| 10782 |
"rl.policy-gradient": {
|
|
|
|
| 10794 |
2017,
|
| 10795 |
2016,
|
| 10796 |
2015,
|
| 10797 |
+
2014,
|
| 10798 |
+
2013
|
| 10799 |
]
|
| 10800 |
},
|
| 10801 |
"rl.ppo": {
|
|
|
|
| 11036 |
2017,
|
| 11037 |
2016,
|
| 11038 |
2015,
|
| 11039 |
+
2014,
|
| 11040 |
+
2013
|
| 11041 |
]
|
| 11042 |
},
|
| 11043 |
"robotics.manipulation": {
|
|
|
|
| 11055 |
2017,
|
| 11056 |
2016,
|
| 11057 |
2015,
|
| 11058 |
+
2014,
|
| 11059 |
+
2013
|
| 11060 |
]
|
| 11061 |
},
|
| 11062 |
"robotics.navigation": {
|
|
|
|
| 11074 |
2017,
|
| 11075 |
2016,
|
| 11076 |
2015,
|
| 11077 |
+
2014,
|
| 11078 |
+
2013
|
| 11079 |
]
|
| 11080 |
},
|
| 11081 |
"robotics.robot-control": {
|
|
|
|
| 11093 |
2017,
|
| 11094 |
2016,
|
| 11095 |
2015,
|
| 11096 |
+
2014,
|
| 11097 |
+
2013
|
| 11098 |
]
|
| 11099 |
},
|
| 11100 |
"robotics.robot-foundation-model": {
|
|
|
|
| 11112 |
2017,
|
| 11113 |
2016,
|
| 11114 |
2015,
|
| 11115 |
+
2014,
|
| 11116 |
+
2013
|
| 11117 |
]
|
| 11118 |
},
|
| 11119 |
"robotics.robot-learning": {
|
|
|
|
| 11131 |
2017,
|
| 11132 |
2016,
|
| 11133 |
2015,
|
| 11134 |
+
2014,
|
| 11135 |
+
2013
|
| 11136 |
]
|
| 11137 |
},
|
| 11138 |
"robotics.robot-manipulation-learning": {
|
|
|
|
| 11150 |
2017,
|
| 11151 |
2016,
|
| 11152 |
2015,
|
| 11153 |
+
2014,
|
| 11154 |
+
2013
|
| 11155 |
]
|
| 11156 |
},
|
| 11157 |
"robotics.robot-motion-planning": {
|
|
|
|
| 11169 |
2017,
|
| 11170 |
2016,
|
| 11171 |
2015,
|
| 11172 |
+
2014,
|
| 11173 |
+
2013
|
| 11174 |
]
|
| 11175 |
},
|
| 11176 |
"robotics.robotics-reinforcement-learning": {
|
|
|
|
| 11188 |
2017,
|
| 11189 |
2016,
|
| 11190 |
2015,
|
| 11191 |
+
2014,
|
| 11192 |
+
2013
|
| 11193 |
]
|
| 11194 |
},
|
| 11195 |
"robotics.robotics-topic": {
|
|
|
|
| 11207 |
2017,
|
| 11208 |
2016,
|
| 11209 |
2015,
|
| 11210 |
+
2014,
|
| 11211 |
+
2013
|
| 11212 |
]
|
| 11213 |
},
|
| 11214 |
"robotics.sim2real": {
|
|
|
|
| 11448 |
2017,
|
| 11449 |
2016,
|
| 11450 |
2015,
|
| 11451 |
+
2014,
|
| 11452 |
+
2013
|
| 11453 |
]
|
| 11454 |
},
|
| 11455 |
"science.fluid-dynamics": {
|
|
|
|
| 11467 |
2017,
|
| 11468 |
2016,
|
| 11469 |
2015,
|
| 11470 |
+
2014,
|
| 11471 |
+
2013
|
| 11472 |
]
|
| 11473 |
},
|
| 11474 |
"science.fusion-plasma": {
|
|
|
|
| 11486 |
2017,
|
| 11487 |
2016,
|
| 11488 |
2015,
|
| 11489 |
+
2014,
|
| 11490 |
+
2013
|
| 11491 |
]
|
| 11492 |
},
|
| 11493 |
"science.gravitational-waves": {
|
|
|
|
| 11505 |
2017,
|
| 11506 |
2016,
|
| 11507 |
2015,
|
| 11508 |
+
2014,
|
| 11509 |
+
2013
|
| 11510 |
]
|
| 11511 |
},
|
| 11512 |
"science.inverse-problems": {
|
|
|
|
| 11524 |
2017,
|
| 11525 |
2016,
|
| 11526 |
2015,
|
| 11527 |
+
2014,
|
| 11528 |
+
2013
|
| 11529 |
]
|
| 11530 |
},
|
| 11531 |
"science.neural-operators": {
|
|
|
|
| 11543 |
2017,
|
| 11544 |
2016,
|
| 11545 |
2015,
|
| 11546 |
+
2014,
|
| 11547 |
+
2013
|
| 11548 |
]
|
| 11549 |
},
|
| 11550 |
"science.ocean-modeling": {
|
|
|
|
| 11562 |
2017,
|
| 11563 |
2016,
|
| 11564 |
2015,
|
| 11565 |
+
2014,
|
| 11566 |
+
2013
|
| 11567 |
]
|
| 11568 |
},
|
| 11569 |
"science.particle-physics": {
|
|
|
|
| 11581 |
2017,
|
| 11582 |
2016,
|
| 11583 |
2015,
|
| 11584 |
+
2014,
|
| 11585 |
+
2013
|
| 11586 |
]
|
| 11587 |
},
|
| 11588 |
"science.photonics": {
|
|
|
|
| 11600 |
2017,
|
| 11601 |
2016,
|
| 11602 |
2015,
|
| 11603 |
+
2014,
|
| 11604 |
+
2013
|
| 11605 |
]
|
| 11606 |
},
|
| 11607 |
"science.physics": {
|
|
|
|
| 11619 |
2017,
|
| 11620 |
2016,
|
| 11621 |
2015,
|
| 11622 |
+
2014,
|
| 11623 |
+
2013
|
| 11624 |
]
|
| 11625 |
},
|
| 11626 |
"science.physics-informed-neural-networks": {
|
|
|
|
| 11638 |
2017,
|
| 11639 |
2016,
|
| 11640 |
2015,
|
| 11641 |
+
2014,
|
| 11642 |
+
2013
|
| 11643 |
]
|
| 11644 |
},
|
| 11645 |
"science.plasma-physics": {
|
|
|
|
| 11933 |
2017,
|
| 11934 |
2016,
|
| 11935 |
2015,
|
| 11936 |
+
2014,
|
| 11937 |
+
2013
|
| 11938 |
]
|
| 11939 |
},
|
| 11940 |
"specialized.event-camera-deep-learning": {
|
|
|
|
| 11952 |
2017,
|
| 11953 |
2016,
|
| 11954 |
2015,
|
| 11955 |
+
2014,
|
| 11956 |
+
2013
|
| 11957 |
]
|
| 11958 |
},
|
| 11959 |
"specialized.fmri-decoding-ml": {
|
|
|
|
| 11971 |
2017,
|
| 11972 |
2016,
|
| 11973 |
2015,
|
| 11974 |
+
2014,
|
| 11975 |
+
2013
|
| 11976 |
]
|
| 11977 |
},
|
| 11978 |
"specialized.machine-unlearning": {
|
|
|
|
| 11990 |
2017,
|
| 11991 |
2016,
|
| 11992 |
2015,
|
| 11993 |
+
2014,
|
| 11994 |
+
2013
|
| 11995 |
]
|
| 11996 |
},
|
| 11997 |
"specialized.mechanistic-interpretability": {
|
|
|
|
| 12009 |
2017,
|
| 12010 |
2016,
|
| 12011 |
2015,
|
| 12012 |
+
2014,
|
| 12013 |
+
2013
|
| 12014 |
]
|
| 12015 |
},
|
| 12016 |
"specialized.medical-image-registration-deep-learning": {
|
|
|
|
| 12028 |
2017,
|
| 12029 |
2016,
|
| 12030 |
2015,
|
| 12031 |
+
2014,
|
| 12032 |
+
2013
|
| 12033 |
]
|
| 12034 |
},
|
| 12035 |
"specialized.pathology-foundation-model": {
|
|
|
|
| 12047 |
2017,
|
| 12048 |
2016,
|
| 12049 |
2015,
|
| 12050 |
+
2014,
|
| 12051 |
+
2013
|
| 12052 |
]
|
| 12053 |
},
|
| 12054 |
"specialized.spiking-neural-network": {
|
|
|
|
| 12066 |
2017,
|
| 12067 |
2016,
|
| 12068 |
2015,
|
| 12069 |
+
2014,
|
| 12070 |
+
2013
|
| 12071 |
]
|
| 12072 |
},
|
| 12073 |
"specialized.test-time-adaptation": {
|
|
|
|
| 12085 |
2017,
|
| 12086 |
2016,
|
| 12087 |
2015,
|
| 12088 |
+
2014,
|
| 12089 |
+
2013
|
| 12090 |
]
|
| 12091 |
},
|
| 12092 |
"timeseries.anomaly-detection": {
|
|
|
|
| 12218 |
2017,
|
| 12219 |
2016,
|
| 12220 |
2015,
|
| 12221 |
+
2014,
|
| 12222 |
+
2013
|
| 12223 |
]
|
| 12224 |
},
|
| 12225 |
"timeseries.imputation": {
|
|
|
|
| 12237 |
2017,
|
| 12238 |
2016,
|
| 12239 |
2015,
|
| 12240 |
+
2014,
|
| 12241 |
+
2013
|
| 12242 |
]
|
| 12243 |
},
|
| 12244 |
"timeseries.long-horizon": {
|
|
|
|
| 12256 |
2017,
|
| 12257 |
2016,
|
| 12258 |
2015,
|
| 12259 |
+
2014,
|
| 12260 |
+
2013
|
| 12261 |
]
|
| 12262 |
},
|
| 12263 |
"timeseries.multivariate": {
|
|
|
|
| 12275 |
2017,
|
| 12276 |
2016,
|
| 12277 |
2015,
|
| 12278 |
+
2014,
|
| 12279 |
+
2013
|
| 12280 |
]
|
| 12281 |
},
|
| 12282 |
"timeseries.nbeats": {
|
|
|
|
| 12294 |
2017,
|
| 12295 |
2016,
|
| 12296 |
2015,
|
| 12297 |
+
2014,
|
| 12298 |
+
2013
|
| 12299 |
]
|
| 12300 |
},
|
| 12301 |
"timeseries.patchtst": {
|
|
|
|
| 12313 |
2017,
|
| 12314 |
2016,
|
| 12315 |
2015,
|
| 12316 |
+
2014,
|
| 12317 |
+
2013
|
| 12318 |
]
|
| 12319 |
},
|
| 12320 |
"timeseries.predictive-maintenance": {
|
|
|
|
| 12332 |
2017,
|
| 12333 |
2016,
|
| 12334 |
2015,
|
| 12335 |
+
2014,
|
| 12336 |
+
2013
|
| 12337 |
]
|
| 12338 |
},
|
| 12339 |
"timeseries.probabilistic-forecasting": {
|
|
|
|
| 12351 |
2017,
|
| 12352 |
2016,
|
| 12353 |
2015,
|
| 12354 |
+
2014,
|
| 12355 |
+
2013
|
| 12356 |
]
|
| 12357 |
},
|
| 12358 |
"timeseries.remaining-useful-life": {
|
|
|
|
| 12370 |
2017,
|
| 12371 |
2016,
|
| 12372 |
2015,
|
| 12373 |
+
2014,
|
| 12374 |
+
2013
|
| 12375 |
]
|
| 12376 |
},
|
| 12377 |
"timeseries.sensor-data": {
|
|
|
|
| 12389 |
2017,
|
| 12390 |
2016,
|
| 12391 |
2015,
|
| 12392 |
+
2014,
|
| 12393 |
+
2013
|
| 12394 |
]
|
| 12395 |
},
|
| 12396 |
"timeseries.state-space-models": {
|
|
|
|
| 12702 |
2017,
|
| 12703 |
2016,
|
| 12704 |
2015,
|
| 12705 |
+
2014,
|
| 12706 |
+
2013
|
| 12707 |
]
|
| 12708 |
},
|
| 12709 |
"trust.causal-mediation": {
|
|
|
|
| 12721 |
2017,
|
| 12722 |
2016,
|
| 12723 |
2015,
|
| 12724 |
+
2014,
|
| 12725 |
+
2013
|
| 12726 |
]
|
| 12727 |
},
|
| 12728 |
"trust.causal-ml": {
|
|
|
|
| 12740 |
2017,
|
| 12741 |
2016,
|
| 12742 |
2015,
|
| 12743 |
+
2014,
|
| 12744 |
+
2013
|
| 12745 |
]
|
| 12746 |
},
|
| 12747 |
"trust.causal-representation-learning": {
|
|
|
|
| 12759 |
2017,
|
| 12760 |
2016,
|
| 12761 |
2015,
|
| 12762 |
+
2014,
|
| 12763 |
+
2013
|
| 12764 |
]
|
| 12765 |
},
|
| 12766 |
"trust.conformal-prediction": {
|
|
|
|
| 12778 |
2017,
|
| 12779 |
2016,
|
| 12780 |
2015,
|
| 12781 |
+
2014,
|
| 12782 |
+
2013
|
| 12783 |
]
|
| 12784 |
},
|
| 12785 |
"trust.counterfactual-explanations": {
|
|
|
|
| 12797 |
2017,
|
| 12798 |
2016,
|
| 12799 |
2015,
|
| 12800 |
+
2014,
|
| 12801 |
+
2013
|
| 12802 |
]
|
| 12803 |
},
|
| 12804 |
"trust.differential-privacy": {
|
|
|
|
| 12816 |
2017,
|
| 12817 |
2016,
|
| 12818 |
2015,
|
| 12819 |
+
2014,
|
| 12820 |
+
2013
|
| 12821 |
]
|
| 12822 |
},
|
| 12823 |
"trust.distribution-shift": {
|
|
|
|
| 12835 |
2017,
|
| 12836 |
2016,
|
| 12837 |
2015,
|
| 12838 |
+
2014,
|
| 12839 |
+
2013
|
| 12840 |
]
|
| 12841 |
},
|
| 12842 |
"trust.domain-generalization": {
|
|
|
|
| 12854 |
2017,
|
| 12855 |
2016,
|
| 12856 |
2015,
|
| 12857 |
+
2014,
|
| 12858 |
+
2013
|
| 12859 |
]
|
| 12860 |
},
|
| 12861 |
"trust.explainable-ai": {
|
|
|
|
| 12873 |
2017,
|
| 12874 |
2016,
|
| 12875 |
2015,
|
| 12876 |
+
2014,
|
| 12877 |
+
2013
|
| 12878 |
]
|
| 12879 |
},
|
| 12880 |
"trust.federated-learning": {
|
|
|
|
| 13240 |
2017,
|
| 13241 |
2016,
|
| 13242 |
2015,
|
| 13243 |
+
2014,
|
| 13244 |
+
2013
|
| 13245 |
]
|
| 13246 |
},
|
| 13247 |
"vision.image-restoration": {
|
|
|
|
| 13259 |
2017,
|
| 13260 |
2016,
|
| 13261 |
2015,
|
| 13262 |
+
2014,
|
| 13263 |
+
2013
|
| 13264 |
]
|
| 13265 |
},
|
| 13266 |
"vision.image-retrieval": {
|
|
|
|
| 13278 |
2017,
|
| 13279 |
2016,
|
| 13280 |
2015,
|
| 13281 |
+
2014,
|
| 13282 |
+
2013
|
| 13283 |
]
|
| 13284 |
},
|
| 13285 |
"vision.image-super-resolution": {
|
|
|
|
| 13297 |
2017,
|
| 13298 |
2016,
|
| 13299 |
2015,
|
| 13300 |
+
2014,
|
| 13301 |
+
2013
|
| 13302 |
]
|
| 13303 |
},
|
| 13304 |
"vision.image-to-image-translation": {
|
|
|
|
| 13316 |
2017,
|
| 13317 |
2016,
|
| 13318 |
2015,
|
| 13319 |
+
2014,
|
| 13320 |
+
2013
|
| 13321 |
]
|
| 13322 |
},
|
| 13323 |
"vision.neural-rendering": {
|
|
|
|
| 13335 |
2017,
|
| 13336 |
2016,
|
| 13337 |
2015,
|
| 13338 |
+
2014,
|
| 13339 |
+
2013
|
| 13340 |
]
|
| 13341 |
},
|
| 13342 |
"vision.object-detection": {
|
|
|
|
| 13354 |
2017,
|
| 13355 |
2016,
|
| 13356 |
2015,
|
| 13357 |
+
2014,
|
| 13358 |
+
2013
|
| 13359 |
]
|
| 13360 |
},
|
| 13361 |
"vision.object-tracking": {
|
|
|
|
| 13373 |
2017,
|
| 13374 |
2016,
|
| 13375 |
2015,
|
| 13376 |
+
2014,
|
| 13377 |
+
2013
|
| 13378 |
]
|
| 13379 |
},
|
| 13380 |
"vision.ocr": {
|
|
|
|
| 13392 |
2017,
|
| 13393 |
2016,
|
| 13394 |
2015,
|
| 13395 |
+
2014,
|
| 13396 |
+
2013
|
| 13397 |
]
|
| 13398 |
},
|
| 13399 |
"vision.open-vocabulary-detection": {
|
|
|
|
| 13411 |
2017,
|
| 13412 |
2016,
|
| 13413 |
2015,
|
| 13414 |
+
2014,
|
| 13415 |
+
2013
|
| 13416 |
]
|
| 13417 |
},
|
| 13418 |
"vision.optical-flow": {
|
|
|
|
| 13623 |
"end": "2026-09-24",
|
| 13624 |
"search_policy_version": 2,
|
| 13625 |
"start_year": 2008,
|
| 13626 |
+
"updated_at": "2026-11-04T18:47:37Z"
|
| 13627 |
}
|