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- {
434
- "id": "chem-retrosynthesis",
435
- "query": "\"computer aided synthesis planning\" in:description,readme"
436
- },
437
- {
438
- "id": "chem-retrosynthesis-planning",
439
- "query": "retrosynthesis in:description,readme"
440
- },
441
- {
442
- "id": "chem-virtual-screening",
443
- "query": "\"virtual screening\" in:description,readme"
444
- },
445
- {
446
- "id": "efficiency.activation-checkpointing",
447
- "query": "\"activation checkpointing\" in:description"
448
- },
449
- {
450
- "id": "efficiency.automl",
451
- "query": "AutoML in:description"
452
- },
453
- {
454
- "id": "efficiency.communication-efficient-training",
455
- "query": "\"communication efficient training\" in:description"
456
- },
457
- {
458
- "id": "efficiency.compiler-optimization",
459
- "query": "\"machine learning compiler\" in:description"
460
- },
461
- {
462
- "id": "efficiency.distributed-training",
463
- "query": "\"distributed training\" in:description"
464
- },
465
- {
466
- "id": "efficiency.edge-ai",
467
- "query": "\"edge AI\" in:description"
468
- },
469
- {
470
- "id": "efficiency.energy-efficient-ml",
471
- "query": "\"energy efficient machine learning\" in:description"
472
- },
473
- {
474
- "id": "efficiency.flash-attention",
475
- "query": "\"FlashAttention\" in:description"
476
- },
477
- {
478
- "id": "efficiency.gpu-kernels",
479
- "query": "\"GPU kernel\" in:description"
480
- },
481
- {
482
- "id": "efficiency.gradient-optimization",
483
- "query": "\"gradient-based optimization\" in:description"
484
- },
485
- {
486
- "id": "efficiency.hyperparameter-optimization",
487
- "query": "\"hyperparameter optimization\" in:description"
488
- },
489
- {
490
- "id": "efficiency.inference-systems",
491
- "query": "\"inference engine\" \"machine learning\" in:description,readme"
492
- },
493
- {
494
- "id": "efficiency.knowledge-distillation",
495
- "query": "\"knowledge distillation\" in:description"
496
- },
497
- {
498
- "id": "efficiency.kv-cache",
499
- "query": "\"KV cache\" in:description"
500
- },
501
- {
502
- "id": "efficiency.lora",
503
- "query": "LoRA in:description"
504
- },
505
- {
506
- "id": "efficiency.low-rank-factorization",
507
- "query": "\"low-rank factorization\" in:description"
508
- },
509
- {
510
- "id": "efficiency.mixed-precision-training",
511
- "query": "\"mixed precision training\" in:description"
512
- },
513
- {
514
- "id": "efficiency.mixture-of-experts",
515
- "query": "\"mixture of experts\" in:description"
516
- },
517
- {
518
- "id": "efficiency.model-compression",
519
- "query": "\"model compression\" in:description"
520
- },
521
- {
522
- "id": "efficiency.neural-architecture-search",
523
- "query": "\"neural architecture search\" in:description"
524
- },
525
- {
526
- "id": "efficiency.optimizer-state-sharding",
527
- "query": "\"optimizer state sharding\" in:description"
528
- },
529
- {
530
- "id": "efficiency.parameter-efficient-finetuning",
531
- "query": "\"parameter-efficient fine-tuning\" in:description"
532
- },
533
- {
534
- "id": "efficiency.post-training-quantization",
535
- "query": "\"post-training quantization\" in:description"
536
- },
537
- {
538
- "id": "efficiency.pruning",
539
- "query": "pruning in:description"
540
- },
541
- {
542
- "id": "efficiency.quantization",
543
- "query": "quantization in:description"
544
- },
545
- {
546
- "id": "efficiency.quantization-aware-training",
547
- "query": "\"quantization-aware training\" in:description"
548
- },
549
- {
550
- "id": "efficiency.sparse-neural-networks",
551
- "query": "\"sparse neural network\" in:description"
552
- },
553
- {
554
- "id": "efficiency.speculative-decoding",
555
- "query": "\"speculative decoding\" in:description"
556
- },
557
- {
558
- "id": "gap2026.archaeology-ml",
559
- "query": "\"machine learning archaeology\" in:description,readme"
560
- },
561
- {
562
- "id": "gap2026.climate-downscaling",
563
- "query": "\"machine learning climate downscaling\" in:description,readme"
564
- },
565
- {
566
- "id": "gap2026.clinical-ehr-representation",
567
- "query": "\"electronic health record\" representation learning in:description,readme"
568
- },
569
- {
570
- "id": "gap2026.clinical-risk-prediction",
571
- "query": "\"clinical risk prediction\" machine learning in:description,readme"
572
- },
573
- {
574
- "id": "gap2026.clinical-survival-ml",
575
- "query": "\"survival analysis\" deep learning clinical in:description,readme"
576
- },
577
- {
578
- "id": "gap2026.clinical-treatment-effect",
579
- "query": "\"treatment effect estimation\" clinical in:description,readme"
580
- },
581
- {
582
- "id": "gap2026.clinical-trial-matching",
583
- "query": "\"clinical trial matching\" machine learning in:description,readme"
584
- },
585
- {
586
- "id": "gap2026.econometrics-causal-forest",
587
- "query": "\"causal forest\" econometrics in:description,readme"
588
- },
589
- {
590
- "id": "gap2026.econometrics-double-ml",
591
- "query": "\"double machine learning\" econometrics in:description,readme"
592
- },
593
- {
594
- "id": "gap2026.econometrics-heterogeneous-effects",
595
- "query": "\"heterogeneous treatment effects\" machine learning economics in:description,readme"
596
- },
597
- {
598
- "id": "gap2026.econometrics-policy-learning",
599
- "query": "\"policy learning\" causal machine learning economics in:description,readme"
600
- },
601
- {
602
- "id": "gap2026.forecasting-count-data",
603
- "query": "\"count time series forecasting\" neural in:description,readme"
604
- },
605
- {
606
- "id": "gap2026.forecasting-hierarchical",
607
- "query": "\"hierarchical time series forecasting\" machine learning in:description,readme"
608
- },
609
- {
610
- "id": "gap2026.forecasting-intermittent-demand",
611
- "query": "\"intermittent demand forecasting\" machine learning in:description,readme"
612
- },
613
- {
614
- "id": "gap2026.forecasting-quantile",
615
- "query": "\"neural quantile forecasting\" in:description,readme"
616
- },
617
- {
618
- "id": "gap2026.green-ai-carbon",
619
- "query": "\"carbon emissions\" machine learning training in:description,readme"
620
- },
621
- {
622
- "id": "gap2026.green-ai-carbon-aware-scheduling",
623
- "query": "\"carbon-aware\" machine learning scheduling in:description,readme"
624
- },
625
- {
626
- "id": "gap2026.green-ai-efficient-inference",
627
- "query": "\"energy efficient inference\" neural network in:description,readme"
628
- },
629
- {
630
- "id": "gap2026.green-ai-energy",
631
- "query": "\"energy efficient machine learning\" in:description,readme"
632
- },
633
- {
634
- "id": "gap2026.math-learned-optimization",
635
- "query": "\"learned optimizer\" optimization algorithm in:description,readme"
636
- },
637
- {
638
- "id": "gap2026.math-neural-combinatorial-optimization",
639
- "query": "\"neural combinatorial optimization\" in:description,readme"
640
- },
641
- {
642
- "id": "gap2026.neuroimaging-connectome",
643
- "query": "\"connectome prediction\" machine learning in:description,readme"
644
- },
645
- {
646
- "id": "gap2026.neuroimaging-eeg",
647
- "query": "\"EEG deep learning\" in:description,readme"
648
- },
649
- {
650
- "id": "gap2026.neuroimaging-fmri",
651
- "query": "\"fMRI machine learning\" in:description,readme"
652
- },
653
- {
654
- "id": "gap2026.neuroimaging-neural-decoding",
655
- "query": "\"neural decoding\" machine learning in:description,readme"
656
- },
657
- {
658
- "id": "gap2026.physics-differentiable-simulation",
659
- "query": "\"differentiable physics simulation\" in:description,readme"
660
- },
661
- {
662
- "id": "gap2026.physics-inverse-problem",
663
- "query": "\"inverse problems\" neural network physics in:description,readme"
664
- },
665
- {
666
- "id": "gap2026.physics-neural-pde-solver",
667
- "query": "\"neural PDE solver\" in:description,readme"
668
- },
669
- {
670
- "id": "gap2026.physics-quantum-ml",
671
- "query": "\"quantum machine learning\" physics in:description,readme"
672
- },
673
- {
674
- "id": "general.active-learning",
675
- "query": "\"active learning\" in:description"
676
- },
677
- {
678
- "id": "general.artificial-intelligence-description",
679
- "query": "\"artificial intelligence\" in:description"
680
- },
681
- {
682
- "id": "general.arxiv",
683
- "query": "arxiv \"machine learning\" in:description,readme"
684
- },
685
- {
686
- "id": "general.automated-machine-learning",
687
- "query": "\"automated machine learning\" in:readme"
688
- },
689
- {
690
- "id": "general.bayesian-deep-learning",
691
- "query": "\"Bayesian deep learning\" in:description,readme"
692
- },
693
- {
694
- "id": "general.bayesian-optimization",
695
- "query": "\"Bayesian optimization\" in:description"
696
- },
697
- {
698
- "id": "general.clustering",
699
- "query": "\"clustering algorithm\" \"machine learning\" in:description,readme"
700
- },
701
- {
702
- "id": "general.continual-learning",
703
- "query": "\"continual learning\" in:description,readme"
704
- },
705
- {
706
- "id": "general.contrastive-learning",
707
- "query": "\"contrastive learning\" in:description,readme"
708
- },
709
- {
710
- "id": "general.decision-trees",
711
- "query": "\"decision tree\" \"machine learning\" in:description,readme"
712
- },
713
- {
714
- "id": "general.deep-learning-description",
715
- "query": "\"deep learning\" in:description"
716
- },
717
- {
718
- "id": "general.deep-learning-readme",
719
- "query": "\"deep learning\" in:readme"
720
- },
721
- {
722
- "id": "general.dimensionality-reduction",
723
- "query": "\"dimensionality reduction\" in:description,readme"
724
- },
725
- {
726
- "id": "general.domain-adaptation",
727
- "query": "\"domain adaptation\" \"machine learning\" in:description,readme"
728
- },
729
- {
730
- "id": "general.gaussian-mixture-models",
731
- "query": "\"Gaussian mixture model\" in:description,readme"
732
- },
733
- {
734
- "id": "general.gaussian-process",
735
- "query": "\"Gaussian process\" in:description"
736
- },
737
- {
738
- "id": "general.gradient-boosting",
739
- "query": "\"gradient boosting\" in:description"
740
- },
741
- {
742
- "id": "general.hidden-markov-models",
743
- "query": "\"hidden Markov model\" \"machine learning\" in:description,readme"
744
- },
745
- {
746
- "id": "general.logistic-regression",
747
- "query": "\"logistic regression\" in:description,readme"
748
- },
749
- {
750
- "id": "general.machine-learning-description",
751
- "query": "\"machine learning\" in:description"
752
- },
753
- {
754
- "id": "general.machine-learning-readme",
755
- "query": "\"machine learning\" in:readme"
756
- },
757
- {
758
- "id": "general.matrix-factorization",
759
- "query": "\"matrix factorization\" \"machine learning\" in:description,readme"
760
- },
761
- {
762
- "id": "general.meta-learning",
763
- "query": "\"meta-learning\" in:description,readme"
764
- },
765
- {
766
- "id": "general.metric-learning",
767
- "query": "\"metric learning\" in:description,readme"
768
- },
769
- {
770
- "id": "general.model-architecture",
771
- "query": "\"model architecture\" in:description"
772
- },
773
- {
774
- "id": "general.multi-task-learning",
775
- "query": "\"multi-task learning\" in:description,readme"
776
- },
777
- {
778
- "id": "general.naive-bayes",
779
- "query": "\"naive Bayes\" in:description,readme"
780
- },
781
- {
782
- "id": "general.nearest-neighbors",
783
- "query": "\"nearest neighbors\" \"machine learning\" in:description,readme"
784
- },
785
- {
786
- "id": "general.neural-network",
787
- "query": "\"neural network\" in:description"
788
- },
789
- {
790
- "id": "general.neural-processes",
791
- "query": "\"neural processes\" in:description,readme"
792
- },
793
- {
794
- "id": "general.normalizing-flows",
795
- "query": "\"normalizing flows\" \"machine learning\" in:description,readme"
796
- },
797
- {
798
- "id": "general.novel-method",
799
- "query": "\"novel method\" in:description"
800
- },
801
- {
802
- "id": "general.paper-implementation",
803
- "query": "\"paper implementation\" in:description"
804
- },
805
- {
806
- "id": "general.probabilistic-programming",
807
- "query": "\"probabilistic programming\" in:description,readme"
808
- },
809
- {
810
- "id": "general.random-forest",
811
- "query": "\"random forest\" in:description"
812
- },
813
- {
814
- "id": "general.research-code",
815
- "query": "\"research code\" \"machine learning\" in:description,readme"
816
- },
817
- {
818
- "id": "general.self-supervised-learning",
819
- "query": "\"self-supervised learning\" in:description"
820
- },
821
- {
822
- "id": "general.semi-supervised-learning",
823
- "query": "\"semi-supervised learning\" in:description,readme"
824
- },
825
- {
826
- "id": "general.support-vector-machine",
827
- "query": "\"support vector machine\" in:description"
828
- },
829
- {
830
- "id": "general.topic-artificial-intelligence",
831
- "query": "topic:artificial-intelligence"
832
- },
833
- {
834
- "id": "general.topic-deep-learning",
835
- "query": "topic:deep-learning"
836
- },
837
- {
838
- "id": "general.topic-machine-learning",
839
- "query": "topic:machine-learning"
840
- },
841
- {
842
- "id": "general.transfer-learning",
843
- "query": "\"transfer learning\" in:description,readme"
844
- },
845
- {
846
- "id": "general.weak-supervision",
847
- "query": "\"weak supervision\" \"machine learning\" in:description,readme"
848
- },
849
- {
850
- "id": "geo.building-footprints",
851
- "query": "\"building footprint extraction\" in:description,readme"
852
- },
853
- {
854
- "id": "geo.change-detection",
855
- "query": "\"remote sensing change detection\" in:description,readme"
856
- },
857
- {
858
- "id": "geo.climate-mapping",
859
- "query": "\"climate downscaling\" in:readme"
860
- },
861
- {
862
- "id": "geo.crop-monitoring",
863
- "query": "\"crop yield prediction\" in:description,readme"
864
- },
865
- {
866
- "id": "geo.earth-observation-models",
867
- "query": "\"Earth observation model\" in:description"
868
- },
869
- {
870
- "id": "geo.environmental-monitoring",
871
- "query": "\"environmental monitoring\" in:readme"
872
- },
873
- {
874
- "id": "geo.flood-mapping",
875
- "query": "\"flood mapping\" in:readme"
876
- },
877
- {
878
- "id": "geo.foundation-models-earth",
879
- "query": "\"Earth observation foundation model\" in:description,readme"
880
- },
881
- {
882
- "id": "geo.geospatial-foundation-models",
883
- "query": "\"geospatial foundation model\" in:readme"
884
- },
885
- {
886
- "id": "geo.geospatial-knowledge-graph",
887
- "query": "\"geospatial knowledge graph\" in:description,readme"
888
- },
889
- {
890
- "id": "geo.hydrology",
891
- "query": "\"hydrology machine learning\" in:readme"
892
- },
893
- {
894
- "id": "geo.land-cover",
895
- "query": "\"land cover\" in:readme"
896
- },
897
- {
898
- "id": "geo.land-use",
899
- "query": "\"land use\" in:readme"
900
- },
901
- {
902
- "id": "geo.lidar",
903
- "query": "LiDAR in:description \"deep learning\""
904
- },
905
- {
906
- "id": "geo.mobility-modeling",
907
- "query": "\"human mobility\" \"machine learning\" in:description,readme"
908
- },
909
- {
910
- "id": "geo.object-detection",
911
- "query": "\"object detection\" \"remote sensing\" in:description,readme"
912
- },
913
- {
914
- "id": "geo.ocean-remote-sensing",
915
- "query": "\"ocean remote sensing\" in:description,readme"
916
- },
917
- {
918
- "id": "geo.precipitation-forecasting",
919
- "query": "\"precipitation forecasting\" in:description,readme"
920
- },
921
- {
922
- "id": "geo.sar-imagery",
923
- "query": "\"synthetic aperture radar\" in:readme"
924
- },
925
- {
926
- "id": "geo.satellite-imagery",
927
- "query": "\"satellite imagery\" in:readme"
928
- },
929
- {
930
- "id": "geo.topic-earth-observation",
931
- "query": "topic:earth-observation"
932
- },
933
- {
934
- "id": "geo.topic-geospatial",
935
- "query": "topic:geospatial"
936
- },
937
- {
938
- "id": "geo.topic-gis",
939
- "query": "topic:gis"
940
- },
941
- {
942
- "id": "geo.topic-remote-sensing",
943
- "query": "topic:remote-sensing"
944
- },
945
- {
946
- "id": "geo.trajectory-prediction",
947
- "query": "\"trajectory prediction\" geospatial in:description,readme"
948
- },
949
- {
950
- "id": "geo.urban-sensing",
951
- "query": "\"urban remote sensing\" in:readme"
952
- },
953
- {
954
- "id": "geo.wildfire-mapping",
955
- "query": "\"wildfire detection\" in:description,readme"
956
- },
957
- {
958
- "id": "graph.e3-equivariance",
959
- "query": "\"E(3)-equivariant\" in:readme"
960
- },
961
- {
962
- "id": "graph.equivariant-networks",
963
- "query": "\"equivariant neural network\" in:description"
964
- },
965
- {
966
- "id": "graph.geometric-learning",
967
- "query": "\"geometric deep learning\" in:readme"
968
- },
969
- {
970
- "id": "graph.gnn-description",
971
- "query": "\"graph neural network\" in:description"
972
- },
973
- {
974
- "id": "graph.graph-anomaly-detection",
975
- "query": "\"graph anomaly detection\" in:description,readme"
976
- },
977
- {
978
- "id": "graph.graph-classification",
979
- "query": "\"graph classification\" in:description"
980
- },
981
- {
982
- "id": "graph.graph-contrastive-learning",
983
- "query": "\"graph contrastive learning\" in:description"
984
- },
985
- {
986
- "id": "graph.graph-diffusion",
987
- "query": "\"graph diffusion model\" in:description"
988
- },
989
- {
990
- "id": "graph.graph-foundation-model",
991
- "query": "\"graph foundation model\" in:description"
992
- },
993
- {
994
- "id": "graph.graph-generation",
995
- "query": "\"graph generation\" in:readme"
996
- },
997
- {
998
- "id": "graph.graph-transformer",
999
- "query": "\"graph transformer\" in:description"
1000
- },
1001
- {
1002
- "id": "graph.hypergraph-neural-network",
1003
- "query": "\"hypergraph neural network\" in:description"
1004
- },
1005
- {
1006
- "id": "graph.knowledge-graph-embedding",
1007
- "query": "\"knowledge graph embedding\" in:description"
1008
- },
1009
- {
1010
- "id": "graph.knowledge-graphs",
1011
- "query": "topic:knowledge-graph"
1012
- },
1013
- {
1014
- "id": "graph.link-prediction",
1015
- "query": "\"link prediction\" in:description"
1016
- },
1017
- {
1018
- "id": "graph.manifold-learning",
1019
- "query": "\"manifold learning\" in:description"
1020
- },
1021
- {
1022
- "id": "graph.mesh-graph-learning",
1023
- "query": "\"mesh graph neural network\" in:description"
1024
- },
1025
- {
1026
- "id": "graph.molecular-graphs",
1027
- "query": "\"molecular graph neural network\" in:readme"
1028
- },
1029
- {
1030
- "id": "graph.neural-ode-graph",
1031
- "query": "\"graph neural ODE\" in:description"
1032
- },
1033
- {
1034
- "id": "graph.persistent-homology",
1035
- "query": "\"persistent homology\" in:description"
1036
- },
1037
- {
1038
- "id": "graph.point-cloud-learning",
1039
- "query": "\"point cloud deep learning\" in:description"
1040
- },
1041
- {
1042
- "id": "graph.point-clouds",
1043
- "query": "topic:point-cloud"
1044
- },
1045
- {
1046
- "id": "graph.representation-learning",
1047
- "query": "\"graph representation learning\" in:readme"
1048
- },
1049
- {
1050
- "id": "graph.signal-processing",
1051
- "query": "\"graph signal processing\" in:description,readme"
1052
- },
1053
- {
1054
- "id": "graph.temporal-learning",
1055
- "query": "\"temporal graph\" in:description,readme"
1056
- },
1057
- {
1058
- "id": "graph.topic-gnn",
1059
- "query": "topic:graph-neural-network"
1060
- },
1061
- {
1062
- "id": "graph.topological-ml",
1063
- "query": "\"topological machine learning\" in:readme"
1064
- },
1065
- {
1066
- "id": "llm-code-generation",
1067
- "query": "\"code generation\" \"language model\" in:readme"
1068
- },
1069
- {
1070
- "id": "llm-reasoning",
1071
- "query": "\"reasoning model\" in:readme"
1072
- },
1073
- {
1074
- "id": "llm-retrieval-augmented-generation",
1075
- "query": "\"retrieval-augmented generation\" in:readme"
1076
- },
1077
- {
1078
- "id": "llm-text-to-speech",
1079
- "query": "\"text-to-speech\" \"language model\" in:readme"
1080
- },
1081
- {
1082
- "id": "llm.agents",
1083
- "query": "topic:ai-agents"
1084
- },
1085
- {
1086
- "id": "llm.ai-agent",
1087
- "query": "\"AI agent\" in:description"
1088
- },
1089
- {
1090
- "id": "llm.alignment",
1091
- "query": "\"alignment\" in:description"
1092
- },
1093
- {
1094
- "id": "llm.diffusion",
1095
- "query": "topic:diffusion-model"
1096
- },
1097
- {
1098
- "id": "llm.diffusion-phrase",
1099
- "query": "\"diffusion model\" in:description"
1100
- },
1101
- {
1102
- "id": "llm.evaluation",
1103
- "query": "\"LLM evaluation\" in:readme"
1104
- },
1105
- {
1106
- "id": "llm.finetuning",
1107
- "query": "\"fine-tuning\" in:description"
1108
- },
1109
- {
1110
- "id": "llm.foundation-models",
1111
- "query": "\"foundation model\" in:description"
1112
- },
1113
- {
1114
- "id": "llm.generative-ai",
1115
- "query": "\"generative AI\" in:description"
1116
- },
1117
- {
1118
- "id": "llm.instruction-tuning",
1119
- "query": "\"instruction tuning\" in:readme"
1120
- },
1121
- {
1122
- "id": "llm.language-model",
1123
- "query": "\"language model\" in:description"
1124
- },
1125
- {
1126
- "id": "llm.language-models",
1127
- "query": "topic:large-language-models"
1128
- },
1129
- {
1130
- "id": "llm.large-language-model",
1131
- "query": "\"large language model\" in:description"
1132
- },
1133
- {
1134
- "id": "llm.long-context",
1135
- "query": "\"long context\" \"language model\" in:readme"
1136
- },
1137
- {
1138
- "id": "llm.multimodal",
1139
- "query": "\"multimodal language model\" in:description"
1140
- },
1141
- {
1142
- "id": "llm.parameter-efficient-finetuning",
1143
- "query": "\"parameter-efficient fine-tuning\" in:readme"
1144
- },
1145
- {
1146
- "id": "llm.preference-optimization",
1147
- "query": "\"direct preference optimization\" in:readme"
1148
- },
1149
- {
1150
- "id": "llm.quantization",
1151
- "query": "\"LLM quantization\" in:readme"
1152
- },
1153
- {
1154
- "id": "llm.speculative-decoding",
1155
- "query": "\"speculative decoding\" in:readme"
1156
- },
1157
- {
1158
- "id": "llm.synthetic-data",
1159
- "query": "\"synthetic data\" in:description"
1160
- },
1161
- {
1162
- "id": "llm.synthetic-data-generation",
1163
- "query": "\"synthetic data generation\" in:description"
1164
- },
1165
- {
1166
- "id": "llm.test-time-compute",
1167
- "query": "\"test-time compute\" \"language model\" in:readme"
1168
- },
1169
- {
1170
- "id": "llm.transformers",
1171
- "query": "\"transformer\" in:description"
1172
- },
1173
- {
1174
- "id": "materials-battery",
1175
- "query": "\"battery materials\" \"machine learning\" in:description,readme"
1176
- },
1177
- {
1178
- "id": "materials-crystal-generation",
1179
- "query": "\"crystal structure generation\" in:description,readme"
1180
- },
1181
- {
1182
- "id": "materials-crystal-graph",
1183
- "query": "\"crystal graph\" in:description,readme"
1184
- },
1185
- {
1186
- "id": "materials-dft-prediction",
1187
- "query": "\"density functional theory\" \"machine learning\" in:description,readme"
1188
- },
1189
- {
1190
- "id": "materials-informatics",
1191
- "query": "\"materials informatics\" in:description,readme"
1192
- },
1193
- {
1194
- "id": "materials-perovskite",
1195
- "query": "perovskite in:description \"machine learning\""
1196
- },
1197
- {
1198
- "id": "materials-polymer-informatics",
1199
- "query": "polymer informatics in:description,readme"
1200
- },
1201
- {
1202
- "id": "medical.clinical-decision-support",
1203
- "query": "\"clinical decision support\" in:readme"
1204
- },
1205
- {
1206
- "id": "medical.clinical-nlp",
1207
- "query": "\"clinical natural language processing\" in:readme"
1208
- },
1209
- {
1210
- "id": "medical.clinical-time-series",
1211
- "query": "\"clinical time series\" in:description"
1212
- },
1213
- {
1214
- "id": "medical.clinical-trials",
1215
- "query": "\"clinical trial prediction\" in:description"
1216
- },
1217
- {
1218
- "id": "medical.dermatology",
1219
- "query": "dermatology AI dermoscopy in:description,readme"
1220
- },
1221
- {
1222
- "id": "medical.diagnosis-prediction",
1223
- "query": "\"diagnosis prediction\" in:description"
1224
- },
1225
- {
1226
- "id": "medical.drug-response",
1227
- "query": "\"drug response prediction\" in:description,readme"
1228
- },
1229
- {
1230
- "id": "medical.ecg",
1231
- "query": "ECG \"deep learning\" in:description,readme"
1232
- },
1233
- {
1234
- "id": "medical.eeg",
1235
- "query": "EEG \"deep learning\" in:description,readme"
1236
- },
1237
- {
1238
- "id": "medical.ehr",
1239
- "query": "\"electronic health record\" in:readme"
1240
- },
1241
- {
1242
- "id": "medical.genomics",
1243
- "query": "\"clinical genomics\" in:description,readme"
1244
- },
1245
- {
1246
- "id": "medical.histopathology",
1247
- "query": "\"histopathology image analysis\" in:readme"
1248
- },
1249
- {
1250
- "id": "medical.medical-image-reconstruction",
1251
- "query": "\"MRI reconstruction\" in:description,readme"
1252
- },
1253
- {
1254
- "id": "medical.medical-image-registration",
1255
- "query": "\"medical image registration\" in:description,readme"
1256
- },
1257
- {
1258
- "id": "medical.medical-image-segmentation",
1259
- "query": "\"medical image segmentation\" in:description"
1260
- },
1261
- {
1262
- "id": "medical.medical-imaging",
1263
- "query": "\"medical imaging\" in:readme"
1264
- },
1265
- {
1266
- "id": "medical.medical-language-model",
1267
- "query": "\"medical language model\" in:description"
1268
- },
1269
- {
1270
- "id": "medical.medical-robotics",
1271
- "query": "\"surgical robotics\" \"machine learning\" in:description,readme"
1272
- },
1273
- {
1274
- "id": "medical.neural-decoding",
1275
- "query": "\"neural data decoding\" in:description"
1276
- },
1277
- {
1278
- "id": "medical.neuroimaging",
1279
- "query": "\"neuroimaging machine learning\" in:readme"
1280
- },
1281
- {
1282
- "id": "medical.ophthalmology",
1283
- "query": "ophthalmology AI retinal in:description,readme"
1284
- },
1285
- {
1286
- "id": "medical.pathology",
1287
- "query": "\"computational pathology\" in:description"
1288
- },
1289
- {
1290
- "id": "medical.pathology-foundation-model",
1291
- "query": "\"pathology foundation model\" in:description,readme"
1292
- },
1293
- {
1294
- "id": "medical.patient-risk",
1295
- "query": "\"patient deterioration prediction\" in:description,readme"
1296
- },
1297
- {
1298
- "id": "medical.radiology",
1299
- "query": "\"radiology machine learning\" in:readme"
1300
- },
1301
- {
1302
- "id": "medical.survival-analysis",
1303
- "query": "clinical survival prediction in:description,readme"
1304
- },
1305
- {
1306
- "id": "medical.wearable-health",
1307
- "query": "\"wearable health monitoring\" in:readme"
1308
- },
1309
- {
1310
- "id": "multimodal.3d-generation",
1311
- "query": "\"3D generation\" in:readme"
1312
- },
1313
- {
1314
- "id": "multimodal.3d-human-pose",
1315
- "query": "\"3D human pose estimation\" in:readme"
1316
- },
1317
- {
1318
- "id": "multimodal.3d-object-detection",
1319
- "query": "\"3D object detection\" in:readme"
1320
- },
1321
- {
1322
- "id": "multimodal.3d-reconstruction",
1323
- "query": "\"3D reconstruction\" in:description"
1324
- },
1325
- {
1326
- "id": "multimodal.audio-visual-learning",
1327
- "query": "\"audio visual learning\" in:readme"
1328
- },
1329
- {
1330
- "id": "multimodal.embodied-world-models",
1331
- "query": "\"embodied world model\" in:description"
1332
- },
1333
- {
1334
- "id": "multimodal.gaussian-splatting",
1335
- "query": "\"Gaussian splatting\" in:description"
1336
- },
1337
- {
1338
- "id": "multimodal.image-text",
1339
- "query": "\"image-text\" in:description"
1340
- },
1341
- {
1342
- "id": "multimodal.image-to-3d",
1343
- "query": "\"image to 3D\" in:readme"
1344
- },
1345
- {
1346
- "id": "multimodal.image-to-video",
1347
- "query": "\"image to video\" in:readme"
1348
- },
1349
- {
1350
- "id": "multimodal.motion-generation",
1351
- "query": "\"human motion generation\" in:readme"
1352
- },
1353
- {
1354
- "id": "multimodal.nerf",
1355
- "query": "topic:nerf"
1356
- },
1357
- {
1358
- "id": "multimodal.neural-rendering",
1359
- "query": "\"neural rendering\" \"radiance fields\" in:description"
1360
- },
1361
- {
1362
- "id": "multimodal.point-cloud",
1363
- "query": "\"point cloud\" in:description"
1364
- },
1365
- {
1366
- "id": "multimodal.scene-understanding",
1367
- "query": "\"scene understanding\" in:description"
1368
- },
1369
- {
1370
- "id": "multimodal.text-to-3d",
1371
- "query": "\"text to 3D\" in:readme"
1372
- },
1373
- {
1374
- "id": "multimodal.text-to-image",
1375
- "query": "\"text-to-image\" in:description"
1376
- },
1377
- {
1378
- "id": "multimodal.text-to-video",
1379
- "query": "\"text-to-video\" in:description"
1380
- },
1381
- {
1382
- "id": "multimodal.video-language-model",
1383
- "query": "\"video language model\" in:readme"
1384
- },
1385
- {
1386
- "id": "multimodal.video-question-answering",
1387
- "query": "\"video question answering\" in:readme"
1388
- },
1389
- {
1390
- "id": "multimodal.video-understanding",
1391
- "query": "\"video-language\" in:description"
1392
- },
1393
- {
1394
- "id": "multimodal.vision-language",
1395
- "query": "\"vision-language\" in:description"
1396
- },
1397
- {
1398
- "id": "multimodal.visual-question-answering",
1399
- "query": "\"visual question answering\" in:description"
1400
- },
1401
- {
1402
- "id": "multimodal.vlm",
1403
- "query": "\"vision-language model\" in:description"
1404
- },
1405
- {
1406
- "id": "multimodal.world-models",
1407
- "query": "\"world model\" in:description"
1408
- },
1409
- {
1410
- "id": "nlp-bm25-retrieval",
1411
- "query": "BM25 retrieval in:readme"
1412
- },
1413
- {
1414
- "id": "nlp-document-retrieval",
1415
- "query": "\"document retrieval\" in:readme"
1416
- },
1417
- {
1418
- "id": "nlp-entity-linking",
1419
- "query": "\"entity linking\" in:readme"
1420
- },
1421
- {
1422
- "id": "nlp-natural-language-inference",
1423
- "query": "\"natural language inference\" in:readme"
1424
- },
1425
- {
1426
- "id": "nlp-query-understanding",
1427
- "query": "\"query understanding\" in:readme"
1428
- },
1429
- {
1430
- "id": "nlp-sparse-retrieval",
1431
- "query": "\"sparse retrieval\" in:readme"
1432
- },
1433
- {
1434
- "id": "nlp-speech-language-modeling",
1435
- "query": "\"speech language model\" in:readme"
1436
- },
1437
- {
1438
- "id": "nlp.coreference-resolution",
1439
- "query": "\"coreference resolution\" in:readme"
1440
- },
1441
- {
1442
- "id": "nlp.cross-encoder-reranking",
1443
- "query": "\"cross-encoder\" \"reranking\" in:readme"
1444
- },
1445
- {
1446
- "id": "nlp.dense-retrieval",
1447
- "query": "\"dense retrieval\" in:readme"
1448
- },
1449
- {
1450
- "id": "nlp.dependency-parsing",
1451
- "query": "\"dependency parsing\" in:readme"
1452
- },
1453
- {
1454
- "id": "nlp.dialogue-systems",
1455
- "query": "\"dialogue system\" in:readme"
1456
- },
1457
- {
1458
- "id": "nlp.information-extraction",
1459
- "query": "\"information extraction\" in:description"
1460
- },
1461
- {
1462
- "id": "nlp.language-modeling",
1463
- "query": "\"language modeling\" in:description"
1464
- },
1465
- {
1466
- "id": "nlp.machine-translation",
1467
- "query": "\"machine translation\" in:description"
1468
- },
1469
- {
1470
- "id": "nlp.named-entity-recognition",
1471
- "query": "\"named entity recognition\" in:readme"
1472
- },
1473
- {
1474
- "id": "nlp.neural-reranking",
1475
- "query": "\"neural reranking\" in:description"
1476
- },
1477
- {
1478
- "id": "nlp.question-answering",
1479
- "query": "\"question answering\" in:description"
1480
- },
1481
- {
1482
- "id": "nlp.rag",
1483
- "query": "\"retrieval augmented generation\" in:description"
1484
- },
1485
- {
1486
- "id": "nlp.semantic-search",
1487
- "query": "\"semantic search\" in:description"
1488
- },
1489
- {
1490
- "id": "nlp.sentence-embeddings",
1491
- "query": "\"sentence embeddings\" in:description"
1492
- },
1493
- {
1494
- "id": "nlp.subword-tokenization",
1495
- "query": "\"subword tokenization\" in:readme"
1496
- },
1497
- {
1498
- "id": "nlp.text-classification",
1499
- "query": "\"text classification\" in:description"
1500
- },
1501
- {
1502
- "id": "nlp.text-generation",
1503
- "query": "\"text generation\" in:readme"
1504
- },
1505
- {
1506
- "id": "nlp.text-summarization",
1507
- "query": "\"text summarization\" in:description"
1508
- },
1509
- {
1510
- "id": "nlp.topic-modeling",
1511
- "query": "\"topic modeling\" in:readme"
1512
- },
1513
- {
1514
- "id": "recall.archaeological-remote-sensing",
1515
- "query": "archaeology \"remote sensing\" in:name,description,readme"
1516
- },
1517
- {
1518
- "id": "recall.case-outcome-prediction",
1519
- "query": "\"case outcome prediction\" in:name,description,readme"
1520
- },
1521
- {
1522
- "id": "recall.computational-linguistics",
1523
- "query": "\"computational linguistics\" model in:name,description,readme"
1524
- },
1525
- {
1526
- "id": "recall.computational-social-science",
1527
- "query": "\"computational social science\" in:name,description,readme"
1528
- },
1529
- {
1530
- "id": "recall.digital-humanities-nlp",
1531
- "query": "\"digital humanities\" NLP in:name,description,readme"
1532
- },
1533
- {
1534
- "id": "recall.disease-surveillance",
1535
- "query": "\"disease surveillance\" machine learning in:name,description,readme"
1536
- },
1537
- {
1538
- "id": "recall.educational-recommendation",
1539
- "query": "\"educational recommendation\" in:name,description,readme"
1540
- },
1541
- {
1542
- "id": "recall.epidemic-forecasting",
1543
- "query": "\"epidemic forecasting\" in:name,description,readme"
1544
- },
1545
- {
1546
- "id": "recall.epidemiological-modeling",
1547
- "query": "\"epidemiological modeling\" machine learning in:name,description,readme"
1548
- },
1549
- {
1550
- "id": "recall.grid-stability-prediction",
1551
- "query": "\"grid stability prediction\" in:name,description,readme"
1552
- },
1553
- {
1554
- "id": "recall.historical-document-recognition",
1555
- "query": "\"historical document recognition\" in:name,description,readme"
1556
- },
1557
- {
1558
- "id": "recall.infrastructure-damage-detection",
1559
- "query": "\"infrastructure damage detection\" deep learning in:name,description,readme"
1560
- },
1561
- {
1562
- "id": "recall.insurance-risk-modeling",
1563
- "query": "\"insurance risk\" machine learning in:name,description,readme"
1564
- },
1565
- {
1566
- "id": "recall.legal-document-classification",
1567
- "query": "\"legal document classification\" in:name,description,readme"
1568
- },
1569
- {
1570
- "id": "recall.legal-nlp",
1571
- "query": "legal NLP in:name,description,readme"
1572
- },
1573
- {
1574
- "id": "recall.name.artificial-intelligence",
1575
- "query": "\"artificial intelligence\" in:name,description,readme"
1576
- },
1577
- {
1578
- "id": "recall.name.deep-learning",
1579
- "query": "\"deep learning\" in:name,description,readme"
1580
- },
1581
- {
1582
- "id": "recall.name.diffusion-model",
1583
- "query": "diffusion model in:name,description,readme"
1584
- },
1585
- {
1586
- "id": "recall.name.foundation-model",
1587
- "query": "foundation model in:name,description,readme"
1588
- },
1589
- {
1590
- "id": "recall.name.language-model",
1591
- "query": "\"language model\" in:name,description,readme"
1592
- },
1593
- {
1594
- "id": "recall.name.large-language-model",
1595
- "query": "\"large language model\" in:name,description,readme"
1596
- },
1597
- {
1598
- "id": "recall.name.machine-learning",
1599
- "query": "\"machine learning\" in:name,description,readme"
1600
- },
1601
- {
1602
- "id": "recall.name.multimodal-model",
1603
- "query": "multimodal model in:name,description,readme"
1604
- },
1605
- {
1606
- "id": "recall.name.neural-network",
1607
- "query": "\"neural network\" in:name,description,readme"
1608
- },
1609
- {
1610
- "id": "recall.name.transformer-model",
1611
- "query": "transformer model in:name,description,readme"
1612
- },
1613
- {
1614
- "id": "recall.player-tracking",
1615
- "query": "\"player tracking\" computer vision in:name,description,readme"
1616
- },
1617
- {
1618
- "id": "recall.population-health-prediction",
1619
- "query": "\"population health prediction\" in:name,description,readme"
1620
- },
1621
- {
1622
- "id": "recall.power-system-forecasting",
1623
- "query": "\"power system forecasting\" in:name,description,readme"
1624
- },
1625
- {
1626
- "id": "recall.social-media-analysis",
1627
- "query": "\"social media analysis\" NLP in:name,description,readme"
1628
- },
1629
- {
1630
- "id": "recall.sports-analytics",
1631
- "query": "\"sports analytics\" model in:name,description,readme"
1632
- },
1633
- {
1634
- "id": "recall.structural-health-monitoring",
1635
- "query": "\"structural health monitoring\" machine learning in:name,description,readme"
1636
- },
1637
- {
1638
- "id": "recall.student-performance-prediction",
1639
- "query": "\"student performance prediction\" in:name,description,readme"
1640
- },
1641
- {
1642
- "id": "recall26.audio-language-model",
1643
- "query": "\"audio language model\" in:description,readme"
1644
- },
1645
- {
1646
- "id": "recall26.class-imbalance",
1647
- "query": "\"class imbalance\" \"machine learning\" in:description,readme"
1648
- },
1649
- {
1650
- "id": "recall26.image-dehazing",
1651
- "query": "\"image dehazing\" in:description,readme"
1652
- },
1653
- {
1654
- "id": "recall26.image-denoising",
1655
- "query": "\"image denoising\" in:description,readme"
1656
- },
1657
- {
1658
- "id": "recall26.long-tailed-recognition",
1659
- "query": "\"long-tailed recognition\" in:description,readme"
1660
- },
1661
- {
1662
- "id": "recall26.low-light-enhancement",
1663
- "query": "\"low-light image enhancement\" in:description,readme"
1664
- },
1665
- {
1666
- "id": "recall26.sign-language",
1667
- "query": "\"sign language\" in:description,readme"
1668
- },
1669
- {
1670
- "id": "recall26.visual-grounding",
1671
- "query": "\"visual grounding\" in:description,readme"
1672
- },
1673
- {
1674
- "id": "rl.bandits",
1675
- "query": "\"multi-armed bandit\" in:description"
1676
- },
1677
- {
1678
- "id": "rl.continual",
1679
- "query": "\"continual reinforcement learning\" in:description,readme"
1680
- },
1681
- {
1682
- "id": "rl.core",
1683
- "query": "topic:reinforcement-learning"
1684
- },
1685
- {
1686
- "id": "rl.deep",
1687
- "query": "\"deep reinforcement learning\" in:description"
1688
- },
1689
- {
1690
- "id": "rl.deep-q-learning",
1691
- "query": "\"deep q-learning\" in:description"
1692
- },
1693
- {
1694
- "id": "rl.distributional",
1695
- "query": "\"distributional reinforcement learning\" in:description,readme"
1696
- },
1697
- {
1698
- "id": "rl.exploration",
1699
- "query": "\"reinforcement learning exploration\" in:description"
1700
- },
1701
- {
1702
- "id": "rl.games",
1703
- "query": "topic:game-ai"
1704
- },
1705
- {
1706
- "id": "rl.hierarchical",
1707
- "query": "\"hierarchical reinforcement learning\" in:description"
1708
- },
1709
- {
1710
- "id": "rl.imitation-learning",
1711
- "query": "\"imitation learning\" in:description"
1712
- },
1713
- {
1714
- "id": "rl.inverse",
1715
- "query": "\"inverse reinforcement learning\" in:description"
1716
- },
1717
- {
1718
- "id": "rl.model-based",
1719
- "query": "\"model-based reinforcement learning\" in:description"
1720
- },
1721
- {
1722
- "id": "rl.model-free",
1723
- "query": "\"model-free reinforcement learning\" in:description"
1724
- },
1725
- {
1726
- "id": "rl.multiagent",
1727
- "query": "\"multi-agent reinforcement learning\" in:description"
1728
- },
1729
- {
1730
- "id": "rl.offline",
1731
- "query": "\"offline reinforcement learning\" in:description"
1732
- },
1733
- {
1734
- "id": "rl.planning",
1735
- "query": "\"reinforcement learning planning\" in:description"
1736
- },
1737
- {
1738
- "id": "rl.policy-gradient",
1739
- "query": "\"policy gradient\" in:description"
1740
- },
1741
- {
1742
- "id": "rl.ppo",
1743
- "query": "\"proximal policy optimization\" in:description"
1744
- },
1745
- {
1746
- "id": "rl.preference",
1747
- "query": "\"preference-based reinforcement learning\" in:description"
1748
- },
1749
- {
1750
- "id": "rl.reinforcement-learning-from-human-feedback",
1751
- "query": "\"reinforcement learning from human feedback\" in:description"
1752
- },
1753
- {
1754
- "id": "rl.safe",
1755
- "query": "\"safe reinforcement learning\" in:description"
1756
- },
1757
- {
1758
- "id": "rl.soft-actor-critic",
1759
- "query": "\"soft actor-critic\" in:description"
1760
- },
1761
- {
1762
- "id": "robotics.autonomous-driving",
1763
- "query": "\"autonomous driving\" in:description"
1764
- },
1765
- {
1766
- "id": "robotics.behavior-cloning",
1767
- "query": "\"behavior cloning\" in:description"
1768
- },
1769
- {
1770
- "id": "robotics.diffusion-policy",
1771
- "query": "\"diffusion policy\" in:description"
1772
- },
1773
- {
1774
- "id": "robotics.domain-randomization",
1775
- "query": "\"domain randomization\" in:description"
1776
- },
1777
- {
1778
- "id": "robotics.embodied-ai",
1779
- "query": "\"embodied AI\" in:description"
1780
- },
1781
- {
1782
- "id": "robotics.grasping",
1783
- "query": "\"robot grasping\" in:description"
1784
- },
1785
- {
1786
- "id": "robotics.imitation-learning",
1787
- "query": "\"imitation learning\" robotics in:description"
1788
- },
1789
- {
1790
- "id": "robotics.locomotion",
1791
- "query": "\"robot locomotion\" in:description"
1792
- },
1793
- {
1794
- "id": "robotics.manipulation",
1795
- "query": "\"robot manipulation\" in:description"
1796
- },
1797
- {
1798
- "id": "robotics.navigation",
1799
- "query": "\"robot navigation\" in:description"
1800
- },
1801
- {
1802
- "id": "robotics.robot-control",
1803
- "query": "\"robot control\" in:description"
1804
- },
1805
- {
1806
- "id": "robotics.robot-foundation-model",
1807
- "query": "robot foundation model in:description,readme"
1808
- },
1809
- {
1810
- "id": "robotics.robot-learning",
1811
- "query": "\"robot learning\" in:description"
1812
- },
1813
- {
1814
- "id": "robotics.robot-manipulation-learning",
1815
- "query": "\"robot manipulation learning\" in:readme"
1816
- },
1817
- {
1818
- "id": "robotics.robot-motion-planning",
1819
- "query": "\"robot motion planning\" in:description"
1820
- },
1821
- {
1822
- "id": "robotics.robotics-reinforcement-learning",
1823
- "query": "\"robotics reinforcement learning\" in:description"
1824
- },
1825
- {
1826
- "id": "robotics.robotics-topic",
1827
- "query": "topic:robotics"
1828
- },
1829
- {
1830
- "id": "robotics.sim2real",
1831
- "query": "\"sim-to-real\" in:description"
1832
- },
1833
- {
1834
- "id": "robotics.slam",
1835
- "query": "SLAM robotics in:description"
1836
- },
1837
- {
1838
- "id": "robotics.tactile-learning",
1839
- "query": "tactile robot learning in:description,readme"
1840
- },
1841
- {
1842
- "id": "robotics.teleoperation",
1843
- "query": "robot teleoperation learning in:description,readme"
1844
- },
1845
- {
1846
- "id": "robotics.visual-language-action",
1847
- "query": "\"vision-language-action\" in:description"
1848
- },
1849
- {
1850
- "id": "robotics.visuomotor-policy",
1851
- "query": "\"visuomotor policy\" in:description"
1852
- },
1853
- {
1854
- "id": "science.astronomy",
1855
- "query": "astronomy in:readme"
1856
- },
1857
- {
1858
- "id": "science.astrophysics",
1859
- "query": "astrophysics in:description"
1860
- },
1861
- {
1862
- "id": "science.climate-modeling",
1863
- "query": "\"climate modeling\" in:readme"
1864
- },
1865
- {
1866
- "id": "science.computational-mechanics",
1867
- "query": "\"computational mechanics\" \"machine learning\" in:description,readme"
1868
- },
1869
- {
1870
- "id": "science.cosmology",
1871
- "query": "cosmology in:description"
1872
- },
1873
- {
1874
- "id": "science.differentiable-simulation",
1875
- "query": "\"differentiable simulation\" in:readme"
1876
- },
1877
- {
1878
- "id": "science.exoplanets",
1879
- "query": "exoplanet in:description \"machine learning\""
1880
- },
1881
- {
1882
- "id": "science.fluid-dynamics",
1883
- "query": "\"fluid dynamics\" in:description"
1884
- },
1885
- {
1886
- "id": "science.fusion-plasma",
1887
- "query": "fusion plasma in:description \"machine learning\""
1888
- },
1889
- {
1890
- "id": "science.gravitational-waves",
1891
- "query": "\"gravitational wave\" \"machine learning\" in:description,readme"
1892
- },
1893
- {
1894
- "id": "science.inverse-problems",
1895
- "query": "\"inverse problems\" in:description"
1896
- },
1897
- {
1898
- "id": "science.neural-operators",
1899
- "query": "\"neural operator\" in:description"
1900
- },
1901
- {
1902
- "id": "science.ocean-modeling",
1903
- "query": "\"ocean modeling\" \"machine learning\" in:description,readme"
1904
- },
1905
- {
1906
- "id": "science.particle-physics",
1907
- "query": "\"particle physics\" in:description"
1908
- },
1909
- {
1910
- "id": "science.photonics",
1911
- "query": "photonics \"machine learning\" in:description,readme"
1912
- },
1913
- {
1914
- "id": "science.physics",
1915
- "query": "physics in:description"
1916
- },
1917
- {
1918
- "id": "science.physics-informed-neural-networks",
1919
- "query": "\"physics-informed neural network\" in:description"
1920
- },
1921
- {
1922
- "id": "science.plasma-physics",
1923
- "query": "\"plasma physics\" in:description"
1924
- },
1925
- {
1926
- "id": "science.quantum-materials",
1927
- "query": "\"quantum materials\" \"machine learning\" in:description,readme"
1928
- },
1929
- {
1930
- "id": "science.quantum-physics",
1931
- "query": "\"quantum many-body\" \"machine learning\" in:description,readme"
1932
- },
1933
- {
1934
- "id": "science.remote-sensing",
1935
- "query": "\"remote sensing\" in:description"
1936
- },
1937
- {
1938
- "id": "science.scientific-machine-learning",
1939
- "query": "\"scientific machine learning\" in:readme"
1940
- },
1941
- {
1942
- "id": "science.seismic",
1943
- "query": "\"seismic data\" \"machine learning\" in:description,readme"
1944
- },
1945
- {
1946
- "id": "science.turbulence",
1947
- "query": "turbulence in:description \"machine learning\""
1948
- },
1949
- {
1950
- "id": "science.weather-forecasting",
1951
- "query": "\"weather forecasting\" climate in:description"
1952
- },
1953
- {
1954
- "id": "science.weather-nowcasting",
1955
- "query": "nowcasting in:description \"machine learning\""
1956
- },
1957
- {
1958
- "id": "specialized.carbon-footprint-training",
1959
- "query": "\"carbon footprint\" \"deep learning\" training in:description,readme"
1960
- },
1961
- {
1962
- "id": "specialized.computational-pathology-ml",
1963
- "query": "\"computational pathology\" \"machine learning\" in:description,readme"
1964
- },
1965
- {
1966
- "id": "specialized.coreset-selection",
1967
- "query": "\"coreset selection\" in:description,readme"
1968
- },
1969
- {
1970
- "id": "specialized.curriculum-learning",
1971
- "query": "\"curriculum learning\" in:description,readme"
1972
- },
1973
- {
1974
- "id": "specialized.data-centric-ai",
1975
- "query": "\"data-centric AI\" in:description,readme"
1976
- },
1977
- {
1978
- "id": "specialized.data-shapley",
1979
- "query": "\"data Shapley\" in:description,readme"
1980
- },
1981
- {
1982
- "id": "specialized.dataset-distillation",
1983
- "query": "\"dataset distillation\" in:description,readme"
1984
- },
1985
- {
1986
- "id": "specialized.event-camera-deep-learning",
1987
- "query": "\"event camera\" \"deep learning\" in:description,readme"
1988
- },
1989
- {
1990
- "id": "specialized.fmri-decoding-ml",
1991
- "query": "\"fMRI decoding\" \"machine learning\" in:description,readme"
1992
- },
1993
- {
1994
- "id": "specialized.machine-unlearning",
1995
- "query": "\"machine unlearning\" in:description,readme"
1996
- },
1997
- {
1998
- "id": "specialized.mechanistic-interpretability",
1999
- "query": "\"mechanistic interpretability\" in:description,readme"
2000
- },
2001
- {
2002
- "id": "specialized.medical-image-registration-deep-learning",
2003
- "query": "\"medical image registration\" \"deep learning\" in:description,readme"
2004
- },
2005
- {
2006
- "id": "specialized.pathology-foundation-model",
2007
- "query": "\"pathology foundation model\" \"machine learning\" in:description,readme"
2008
- },
2009
- {
2010
- "id": "specialized.spiking-neural-network",
2011
- "query": "\"spiking neural network\" in:description,readme"
2012
- },
2013
- {
2014
- "id": "specialized.test-time-adaptation",
2015
- "query": "\"test-time adaptation\" in:description,readme"
2016
- },
2017
- {
2018
- "id": "timeseries.anomaly-detection",
2019
- "query": "\"time series anomaly detection\" in:description"
2020
- },
2021
- {
2022
- "id": "timeseries.classification",
2023
- "query": "\"time series classification\" in:description"
2024
- },
2025
- {
2026
- "id": "timeseries.clustering",
2027
- "query": "\"time series clustering\" in:description,readme"
2028
- },
2029
- {
2030
- "id": "timeseries.energy-forecasting",
2031
- "query": "\"energy forecasting\" in:description"
2032
- },
2033
- {
2034
- "id": "timeseries.event-forecasting",
2035
- "query": "\"event forecasting\" in:description"
2036
- },
2037
- {
2038
- "id": "timeseries.forecasting",
2039
- "query": "\"time series forecasting\" in:description"
2040
- },
2041
- {
2042
- "id": "timeseries.foundation-models",
2043
- "query": "\"time series foundation model\" in:description"
2044
- },
2045
- {
2046
- "id": "timeseries.imputation",
2047
- "query": "\"time series imputation\" in:description,readme"
2048
- },
2049
- {
2050
- "id": "timeseries.long-horizon",
2051
- "query": "\"long horizon forecasting\" in:readme"
2052
- },
2053
- {
2054
- "id": "timeseries.multivariate",
2055
- "query": "\"multivariate time series\" in:description"
2056
- },
2057
- {
2058
- "id": "timeseries.nbeats",
2059
- "query": "N-BEATS in:description"
2060
- },
2061
- {
2062
- "id": "timeseries.patchtst",
2063
- "query": "PatchTST in:description"
2064
- },
2065
- {
2066
- "id": "timeseries.predictive-maintenance",
2067
- "query": "\"predictive maintenance\" in:description"
2068
- },
2069
- {
2070
- "id": "timeseries.probabilistic-forecasting",
2071
- "query": "\"probabilistic forecasting\" in:readme"
2072
- },
2073
- {
2074
- "id": "timeseries.remaining-useful-life",
2075
- "query": "\"remaining useful life\" in:readme"
2076
- },
2077
- {
2078
- "id": "timeseries.sensor-data",
2079
- "query": "\"sensor time series\" in:description"
2080
- },
2081
- {
2082
- "id": "timeseries.state-space-models",
2083
- "query": "\"state space model\" in:description"
2084
- },
2085
- {
2086
- "id": "timeseries.streaming",
2087
- "query": "\"streaming time series\" in:readme"
2088
- },
2089
- {
2090
- "id": "timeseries.synthetic-generation",
2091
- "query": "\"time series generation\" in:description,readme"
2092
- },
2093
- {
2094
- "id": "timeseries.tabular-foundation-models",
2095
- "query": "\"tabular foundation model\" in:description,readme"
2096
- },
2097
- {
2098
- "id": "timeseries.temporal-fusion-transformer",
2099
- "query": "\"temporal fusion transformer\" in:description"
2100
- },
2101
- {
2102
- "id": "timeseries.temporal-representation",
2103
- "query": "\"temporal representation learning\" in:readme"
2104
- },
2105
- {
2106
- "id": "timeseries.topic",
2107
- "query": "topic:time-series"
2108
- },
2109
- {
2110
- "id": "timeseries.traffic-forecasting",
2111
- "query": "\"traffic forecasting\" in:description"
2112
- },
2113
- {
2114
- "id": "timeseries.unevenly-spaced",
2115
- "query": "\"irregular time series\" in:description"
2116
- },
2117
- {
2118
- "id": "timeseries.weather-forecasting",
2119
- "query": "\"weather forecasting\" in:description"
2120
- },
2121
- {
2122
- "id": "trust.adversarial-robustness",
2123
- "query": "\"adversarial robustness\" in:description"
2124
- },
2125
- {
2126
- "id": "trust.ai-alignment",
2127
- "query": "\"AI alignment\" in:description"
2128
- },
2129
- {
2130
- "id": "trust.ai-safety",
2131
- "query": "\"AI safety\" in:description"
2132
- },
2133
- {
2134
- "id": "trust.algorithmic-fairness",
2135
- "query": "\"algorithmic fairness\" in:description"
2136
- },
2137
- {
2138
- "id": "trust.algorithmic-recourse",
2139
- "query": "\"algorithmic recourse\" in:description"
2140
- },
2141
- {
2142
- "id": "trust.causal-discovery",
2143
- "query": "\"causal discovery\" in:description"
2144
- },
2145
- {
2146
- "id": "trust.causal-effect-estimation",
2147
- "query": "\"causal effect estimation\" in:description"
2148
- },
2149
- {
2150
- "id": "trust.causal-mediation",
2151
- "query": "\"causal mediation analysis\" in:description"
2152
- },
2153
- {
2154
- "id": "trust.causal-ml",
2155
- "query": "\"causal machine learning\" in:description"
2156
- },
2157
- {
2158
- "id": "trust.causal-representation-learning",
2159
- "query": "\"causal representation learning\" in:description"
2160
- },
2161
- {
2162
- "id": "trust.conformal-prediction",
2163
- "query": "\"conformal prediction\" in:description"
2164
- },
2165
- {
2166
- "id": "trust.counterfactual-explanations",
2167
- "query": "\"counterfactual explanation\" in:description"
2168
- },
2169
- {
2170
- "id": "trust.differential-privacy",
2171
- "query": "\"differential privacy\" in:description"
2172
- },
2173
- {
2174
- "id": "trust.distribution-shift",
2175
- "query": "\"distribution shift\" in:description"
2176
- },
2177
- {
2178
- "id": "trust.domain-generalization",
2179
- "query": "\"domain generalization\" in:description"
2180
- },
2181
- {
2182
- "id": "trust.explainable-ai",
2183
- "query": "\"explainable AI\" in:description"
2184
- },
2185
- {
2186
- "id": "trust.federated-learning",
2187
- "query": "\"federated learning\" in:description"
2188
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2190
- "id": "trust.instrumental-variable-ml",
2191
- "query": "\"double machine learning\" in:description"
2192
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2193
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2194
- "id": "trust.interpretable-ml",
2195
- "query": "\"interpretable machine learning\" in:description"
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- "id": "trust.membership-inference",
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- "query": "\"membership inference\" in:description"
2200
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2202
- "id": "trust.ml-fairness",
2203
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2204
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2205
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2206
- "id": "trust.model-calibration",
2207
- "query": "\"model calibration\" in:description"
2208
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2209
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2210
- "id": "trust.neuro-symbolic",
2211
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2212
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2213
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2214
- "id": "trust.out-of-distribution-detection",
2215
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2216
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2217
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2218
- "id": "trust.privacy-preserving-ml",
2219
- "query": "\"privacy-preserving machine learning\" in:description"
2220
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2221
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2222
- "id": "trust.robustness-certification",
2223
- "query": "\"certified robustness\" in:description"
2224
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2225
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2226
- "id": "trust.safe-reinforcement-learning",
2227
- "query": "\"safe reinforcement learning\" constrained in:description"
2228
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2229
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2230
- "id": "trust.shap",
2231
- "query": "SHAP in:description"
2232
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2233
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2234
- "id": "trust.uncertainty-quantification",
2235
- "query": "\"uncertainty quantification\" in:description"
2236
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2237
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2238
- "id": "vision.action-recognition",
2239
- "query": "\"action recognition\" in:description"
2240
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2241
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2242
- "id": "vision.change-detection",
2243
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2244
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2245
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2246
- "id": "vision.depth-estimation",
2247
- "query": "\"depth estimation\" in:readme"
2248
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2249
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2250
- "id": "vision.face-recognition",
2251
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2252
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2253
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2254
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2255
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2256
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2257
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2258
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2259
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2260
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2262
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2264
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2265
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2266
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2268
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2269
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2270
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2272
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2273
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2274
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2275
- "query": "\"image super-resolution\" in:readme"
2276
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2277
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2278
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2279
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2280
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2281
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2282
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2283
- "query": "\"neural rendering\" in:description"
2284
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2285
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2286
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2287
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2288
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2289
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2290
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2291
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2292
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2293
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2294
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2295
- "query": "topic:ocr"
2296
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2297
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2298
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2299
- "query": "\"open-vocabulary detection\" in:readme"
2300
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2301
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2302
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2303
- "query": "topic:optical-flow"
2304
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2305
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2306
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2307
- "query": "\"human pose estimation\" in:readme"
2308
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2309
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2310
- "id": "vision.promptable-segmentation",
2311
- "query": "\"promptable segmentation\" in:readme"
2312
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2313
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2314
- "id": "vision.segmentation",
2315
- "query": "\"image segmentation\" in:description"
2316
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2317
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2318
- "id": "vision.self-supervised-vision",
2319
- "query": "\"self-supervised vision\" in:description"
2320
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2321
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2322
- "id": "vision.topic-computer-vision",
2323
- "query": "topic:computer-vision"
2324
- },
2325
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2326
- "id": "vision.video-generation",
2327
- "query": "\"video generation\" in:readme"
2328
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2329
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2330
- "id": "vision.video-understanding",
2331
- "query": "\"video understanding\" in:readme"
2332
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2333
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2334
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2335
- "query": "\"vision-language model\" in:readme"
2336
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2337
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2338
- "id": "vision.visual-anomaly-detection",
2339
- "query": "\"visual anomaly detection\" in:readme"
2340
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2341
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2342
- "id": "vision.visual-localization",
2343
- "query": "\"visual localization\" in:readme"
2344
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2345
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2346
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2347
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2348
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2349
- "since": "2026-09-26",
2350
  "until": "2026-09-29",
2351
- "updated_at": "2026-09-29T15:58:23Z"
2352
  }
 
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3
  "search_policy_version": 2,
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  "until": "2026-09-29",
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