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3
  "search_policy_version": 2,
4
  "since": "2026-10-18",
5
- "until": "2026-10-18",
6
- "updated_at": "2026-10-19T16:31:26Z"
7
  }
 
1
  {
2
+ "cursor": {
3
+ "end": "2026-10-20",
4
+ "field": "created",
5
+ "per_page": 100,
6
+ "query_id": "science.turbulence",
7
+ "query_index": 500,
8
+ "specs": [
9
+ {
10
+ "id": "applied.ad-ranking",
11
+ "query": "\"ad ranking\" in:description"
12
+ },
13
+ {
14
+ "id": "applied.agricultural-ml",
15
+ "query": "\"agricultural machine learning\" in:description,readme"
16
+ },
17
+ {
18
+ "id": "applied.algorithmic-trading",
19
+ "query": "\"algorithmic trading\" \"machine learning\" in:readme"
20
+ },
21
+ {
22
+ "id": "applied.causal-inference",
23
+ "query": "\"causal inference\" in:description"
24
+ },
25
+ {
26
+ "id": "applied.churn-prediction",
27
+ "query": "\"customer churn prediction\" in:description"
28
+ },
29
+ {
30
+ "id": "applied.click-through-rate",
31
+ "query": "\"click-through rate prediction\" in:readme"
32
+ },
33
+ {
34
+ "id": "applied.collaborative-filtering",
35
+ "query": "\"collaborative filtering\" in:description"
36
+ },
37
+ {
38
+ "id": "applied.credit-scoring",
39
+ "query": "\"credit scoring\" in:description"
40
+ },
41
+ {
42
+ "id": "applied.customer-lifetime-value",
43
+ "query": "\"customer lifetime value\" in:description"
44
+ },
45
+ {
46
+ "id": "applied.customer-segmentation",
47
+ "query": "\"customer segmentation\" \"machine learning\" in:description,readme"
48
+ },
49
+ {
50
+ "id": "applied.cybersecurity-ml",
51
+ "query": "\"machine learning\" cybersecurity in:description,readme"
52
+ },
53
+ {
54
+ "id": "applied.demand-forecasting",
55
+ "query": "\"demand forecasting\" in:description"
56
+ },
57
+ {
58
+ "id": "applied.dynamic-pricing",
59
+ "query": "\"dynamic pricing\" \"machine learning\" in:description,readme"
60
+ },
61
+ {
62
+ "id": "applied.ecological-forecasting",
63
+ "query": "\"ecological forecasting\" \"machine learning\" in:description,readme"
64
+ },
65
+ {
66
+ "id": "applied.educational-data-mining",
67
+ "query": "\"educational data mining\" in:description,readme"
68
+ },
69
+ {
70
+ "id": "applied.energy-load-forecasting",
71
+ "query": "\"load forecasting\" energy in:description,readme"
72
+ },
73
+ {
74
+ "id": "applied.fraud-detection",
75
+ "query": "\"fraud detection\" \"machine learning\" in:description,readme"
76
+ },
77
+ {
78
+ "id": "applied.industrial-defect-detection",
79
+ "query": "\"industrial defect detection\" \"deep learning\" in:description,readme"
80
+ },
81
+ {
82
+ "id": "applied.intrusion-detection",
83
+ "query": "\"intrusion detection\" \"machine learning\" in:description,readme"
84
+ },
85
+ {
86
+ "id": "applied.inventory-optimization",
87
+ "query": "\"inventory optimization\" in:readme"
88
+ },
89
+ {
90
+ "id": "applied.learning-to-rank",
91
+ "query": "\"learning to rank\" in:description"
92
+ },
93
+ {
94
+ "id": "applied.malware-detection",
95
+ "query": "\"malware detection\" \"machine learning\" in:description,readme"
96
+ },
97
+ {
98
+ "id": "applied.ml-econometrics",
99
+ "query": "\"machine learning econometrics\" in:readme"
100
+ },
101
+ {
102
+ "id": "applied.plant-disease-detection",
103
+ "query": "\"plant disease detection\" \"deep learning\" in:description,readme"
104
+ },
105
+ {
106
+ "id": "applied.portfolio-optimization",
107
+ "query": "\"portfolio optimization\" in:readme"
108
+ },
109
+ {
110
+ "id": "applied.predictive-maintenance",
111
+ "query": "\"predictive maintenance\" industrial in:description"
112
+ },
113
+ {
114
+ "id": "applied.process-mining-prediction",
115
+ "query": "\"predictive process monitoring\" in:description,readme"
116
+ },
117
+ {
118
+ "id": "applied.quantitative-finance",
119
+ "query": "\"quantitative finance\" in:readme"
120
+ },
121
+ {
122
+ "id": "applied.recommender-systems",
123
+ "query": "\"recommender system\" in:readme"
124
+ },
125
+ {
126
+ "id": "applied.search-ranking",
127
+ "query": "\"search ranking\" in:readme"
128
+ },
129
+ {
130
+ "id": "applied.species-distribution-modeling",
131
+ "query": "\"species distribution modeling\" in:description,readme"
132
+ },
133
+ {
134
+ "id": "applied.supply-chain-optimization",
135
+ "query": "\"supply chain optimization\" in:readme"
136
+ },
137
+ {
138
+ "id": "applied.tabular-ml",
139
+ "query": "\"tabular data\" in:readme"
140
+ },
141
+ {
142
+ "id": "applied.time-series-forecasting",
143
+ "query": "\"time series forecasting\" manufacturing in:description"
144
+ },
145
+ {
146
+ "id": "applied.traffic-prediction",
147
+ "query": "\"traffic prediction\" \"machine learning\" in:description,readme"
148
+ },
149
+ {
150
+ "id": "applied.uplift-modeling",
151
+ "query": "\"uplift modeling\" in:description"
152
+ },
153
+ {
154
+ "id": "audio-acoustic-event-classification",
155
+ "query": "\"acoustic scene classification\" in:readme"
156
+ },
157
+ {
158
+ "id": "audio-anomaly-detection",
159
+ "query": "\"audio anomaly detection\" in:readme"
160
+ },
161
+ {
162
+ "id": "audio-asr",
163
+ "query": "\"automatic speech recognition\" in:readme"
164
+ },
165
+ {
166
+ "id": "audio-audio-captioning",
167
+ "query": "\"audio captioning\" in:readme"
168
+ },
169
+ {
170
+ "id": "audio-audio-classification",
171
+ "query": "\"audio classification\" in:readme"
172
+ },
173
+ {
174
+ "id": "audio-audio-question-answering",
175
+ "query": "\"audio question answering\" in:readme"
176
+ },
177
+ {
178
+ "id": "audio-audio-super-resolution",
179
+ "query": "\"audio super-resolution\" in:readme"
180
+ },
181
+ {
182
+ "id": "audio-generation",
183
+ "query": "\"audio generation\" in:readme"
184
+ },
185
+ {
186
+ "id": "audio-keyword-spotting",
187
+ "query": "\"keyword spotting\" audio in:readme"
188
+ },
189
+ {
190
+ "id": "audio-music-generation",
191
+ "query": "\"music generation\" in:readme"
192
+ },
193
+ {
194
+ "id": "audio-music-information-retrieval",
195
+ "query": "\"music information retrieval\" in:readme"
196
+ },
197
+ {
198
+ "id": "audio-music-recommendation",
199
+ "query": "\"music recommendation\" in:readme"
200
+ },
201
+ {
202
+ "id": "audio-music-source-separation",
203
+ "query": "\"music source separation\" in:readme"
204
+ },
205
+ {
206
+ "id": "audio-music-transcription",
207
+ "query": "\"automatic music transcription\" in:readme"
208
+ },
209
+ {
210
+ "id": "audio-neural-codec",
211
+ "query": "\"neural audio codec\" in:readme"
212
+ },
213
+ {
214
+ "id": "audio-sound-event-detection",
215
+ "query": "\"sound event detection\" in:readme"
216
+ },
217
+ {
218
+ "id": "audio-source-separation",
219
+ "query": "\"audio source separation\" in:readme"
220
+ },
221
+ {
222
+ "id": "audio-speaker-diarization",
223
+ "query": "\"speaker diarization\" in:readme"
224
+ },
225
+ {
226
+ "id": "audio-speaker-verification",
227
+ "query": "\"speaker verification\" in:readme"
228
+ },
229
+ {
230
+ "id": "audio-speech-emotion-recognition",
231
+ "query": "\"speech emotion recognition\" in:readme"
232
+ },
233
+ {
234
+ "id": "audio-speech-enhancement",
235
+ "query": "\"speech enhancement\" in:readme"
236
+ },
237
+ {
238
+ "id": "audio-speech-synthesis",
239
+ "query": "\"speech synthesis\" in:readme"
240
+ },
241
+ {
242
+ "id": "audio-speech-to-text",
243
+ "query": "\"speech to text\" in:readme"
244
+ },
245
+ {
246
+ "id": "audio-speech-translation",
247
+ "query": "\"speech translation\" in:readme"
248
+ },
249
+ {
250
+ "id": "audio-text-to-audio",
251
+ "query": "\"text to audio\" in:readme"
252
+ },
253
+ {
254
+ "id": "audio-text-to-speech",
255
+ "query": "\"text to speech\" in:readme"
256
+ },
257
+ {
258
+ "id": "audio-voice-conversion",
259
+ "query": "\"voice conversion\" in:readme"
260
+ },
261
+ {
262
+ "id": "bio.cell-atlas",
263
+ "query": "\"cell atlas\" in:description,readme"
264
+ },
265
+ {
266
+ "id": "bio.chemical-biology",
267
+ "query": "\"protein function prediction\" in:description,readme"
268
+ },
269
+ {
270
+ "id": "bio.crispr",
271
+ "query": "\"CRISPR screen\" in:description,readme"
272
+ },
273
+ {
274
+ "id": "bio.dna-language-models",
275
+ "query": "\"DNA language model\" in:description"
276
+ },
277
+ {
278
+ "id": "bio.gene-regulatory-networks",
279
+ "query": "\"gene regulatory network\" in:description,readme"
280
+ },
281
+ {
282
+ "id": "bio.genome-assembly",
283
+ "query": "\"genome assembly\" \"neural network\" in:description,readme"
284
+ },
285
+ {
286
+ "id": "bio.genomics",
287
+ "query": "\"genomics\" in:description"
288
+ },
289
+ {
290
+ "id": "bio.inverse-folding",
291
+ "query": "\"inverse folding\" in:readme"
292
+ },
293
+ {
294
+ "id": "bio.metagenomics",
295
+ "query": "\"metagenomic classification\" in:description,readme"
296
+ },
297
+ {
298
+ "id": "bio.microbiome",
299
+ "query": "\"microbiome\" \"machine learning\" in:description,readme"
300
+ },
301
+ {
302
+ "id": "bio.microscopy-cell-analysis",
303
+ "query": "\"cell segmentation\" microscopy in:description,readme"
304
+ },
305
+ {
306
+ "id": "bio.molecular-dynamics",
307
+ "query": "\"molecular dynamics\" in:description"
308
+ },
309
+ {
310
+ "id": "bio.molecular-force-fields",
311
+ "query": "\"machine learning force field\" in:readme"
312
+ },
313
+ {
314
+ "id": "bio.phylogenetics",
315
+ "query": "\"phylogenetics\" in:description"
316
+ },
317
+ {
318
+ "id": "bio.protein-design",
319
+ "query": "\"protein design\" in:description"
320
+ },
321
+ {
322
+ "id": "bio.protein-folding",
323
+ "query": "\"protein folding\" in:readme"
324
+ },
325
+ {
326
+ "id": "bio.protein-interactions",
327
+ "query": "\"protein-protein interaction prediction\" in:readme"
328
+ },
329
+ {
330
+ "id": "bio.protein-structure",
331
+ "query": "\"protein structure prediction\" in:description"
332
+ },
333
+ {
334
+ "id": "bio.regulatory-sequence-modeling",
335
+ "query": "enhancer prediction genomics in:description,readme"
336
+ },
337
+ {
338
+ "id": "bio.rna-language-models",
339
+ "query": "\"RNA language model\" in:description"
340
+ },
341
+ {
342
+ "id": "bio.rna-structure",
343
+ "query": "\"RNA structure prediction\" in:description,readme"
344
+ },
345
+ {
346
+ "id": "bio.scrna-seq",
347
+ "query": "\"scRNA-seq\" in:readme"
348
+ },
349
+ {
350
+ "id": "bio.single-cell",
351
+ "query": "\"single-cell\" in:description"
352
+ },
353
+ {
354
+ "id": "bio.spatial-transcriptomics",
355
+ "query": "\"spatial transcriptomics\" in:description,readme"
356
+ },
357
+ {
358
+ "id": "bio.transcriptomics",
359
+ "query": "\"transcriptomics\" in:description"
360
+ },
361
+ {
362
+ "id": "bio.variant-effects",
363
+ "query": "\"variant effect prediction\" in:readme"
364
+ },
365
+ {
366
+ "id": "chem-admet",
367
+ "query": "\"ADMET prediction\" in:description,readme"
368
+ },
369
+ {
370
+ "id": "chem-binding-affinity",
371
+ "query": "\"binding affinity prediction\" in:description,readme"
372
+ },
373
+ {
374
+ "id": "chem-catalyst-discovery",
375
+ "query": "\"catalyst discovery\" in:description,readme"
376
+ },
377
+ {
378
+ "id": "chem-cheminformatics",
379
+ "query": "topic:cheminformatics"
380
+ },
381
+ {
382
+ "id": "chem-drug-discovery",
383
+ "query": "\"drug discovery\" in:description,readme"
384
+ },
385
+ {
386
+ "id": "chem-interatomic-potentials",
387
+ "query": "\"machine learning interatomic potential\" in:description,readme"
388
+ },
389
+ {
390
+ "id": "chem-molecular-docking",
391
+ "query": "\"molecular docking\" in:description,readme"
392
+ },
393
+ {
394
+ "id": "chem-molecular-dynamics",
395
+ "query": "\"molecular dynamics\" \"machine learning\" in:description,readme"
396
+ },
397
+ {
398
+ "id": "chem-molecular-generation",
399
+ "query": "\"molecular generation\" in:description,readme"
400
+ },
401
+ {
402
+ "id": "chem-molecular-property-benchmark",
403
+ "query": "MoleculeNet in:description,readme"
404
+ },
405
+ {
406
+ "id": "chem-molecular-spectroscopy",
407
+ "query": "molecular spectroscopy \"machine learning\" in:description,readme"
408
+ },
409
+ {
410
+ "id": "chem-property-prediction",
411
+ "query": "\"molecular property prediction\" in:description,readme"
412
+ },
413
+ {
414
+ "id": "chem-protein-ligand-docking",
415
+ "query": "\"protein-ligand docking\" in:description,readme"
416
+ },
417
+ {
418
+ "id": "chem-quantum-chemistry",
419
+ "query": "\"quantum chemistry\" \"machine learning\" in:description,readme"
420
+ },
421
+ {
422
+ "id": "chem-reaction-conditions",
423
+ "query": "\"reaction condition prediction\" in:description,readme"
424
+ },
425
+ {
426
+ "id": "chem-reaction-prediction",
427
+ "query": "\"reaction prediction\" in:description,readme"
428
+ },
429
+ {
430
+ "id": "chem-reaction-yield",
431
+ "query": "\"reaction yield prediction\" in:description,readme"
432
+ },
433
+ {
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": "probable.adaptation-domain-generalization-readme",
1515
+ "query": "\"domain generalization\" in:readme"
1516
+ },
1517
+ {
1518
+ "id": "probable.adaptation-finetuning-readme",
1519
+ "query": "\"fine-tuning\" model in:readme"
1520
+ },
1521
+ {
1522
+ "id": "probable.classical-catboost-readme",
1523
+ "query": "catboost in:readme"
1524
+ },
1525
+ {
1526
+ "id": "probable.classical-gradient-boosting-readme",
1527
+ "query": "\"gradient boosting\" in:readme"
1528
+ },
1529
+ {
1530
+ "id": "probable.classical-lightgbm-readme",
1531
+ "query": "lightgbm in:readme"
1532
+ },
1533
+ {
1534
+ "id": "probable.classical-xgboost-readme",
1535
+ "query": "xgboost in:readme"
1536
+ },
1537
+ {
1538
+ "id": "probable.data-dataset-curation",
1539
+ "query": "\"dataset curation\" \"machine learning\" in:description,readme"
1540
+ },
1541
+ {
1542
+ "id": "probable.data-feature-selection",
1543
+ "query": "\"feature selection\" \"machine learning\" in:description,readme"
1544
+ },
1545
+ {
1546
+ "id": "probable.data-training-selection",
1547
+ "query": "\"data selection\" \"machine learning\" in:description,readme"
1548
+ },
1549
+ {
1550
+ "id": "probable.evaluation-ml-benchmark",
1551
+ "query": "\"machine learning benchmark\" in:description,readme"
1552
+ },
1553
+ {
1554
+ "id": "probable.evaluation-model-calibration-readme",
1555
+ "query": "\"model calibration\" neural in:readme"
1556
+ },
1557
+ {
1558
+ "id": "probable.evaluation-ood-readme",
1559
+ "query": "\"out-of-distribution detection\" in:readme"
1560
+ },
1561
+ {
1562
+ "id": "probable.scientific-data-assimilation",
1563
+ "query": "\"data assimilation\" \"machine learning\" in:description,readme"
1564
+ },
1565
+ {
1566
+ "id": "probable.scientific-reduced-order-modeling",
1567
+ "query": "\"reduced-order modeling\" \"machine learning\" in:description,readme"
1568
+ },
1569
+ {
1570
+ "id": "probable.scientific-surrogate-modeling",
1571
+ "query": "\"surrogate modeling\" \"machine learning\" in:description,readme"
1572
+ },
1573
+ {
1574
+ "id": "probable.scientific-system-identification",
1575
+ "query": "\"system identification\" \"machine learning\" in:description,readme"
1576
+ },
1577
+ {
1578
+ "id": "recall.archaeological-remote-sensing",
1579
+ "query": "archaeology \"remote sensing\" in:name,description,readme"
1580
+ },
1581
+ {
1582
+ "id": "recall.case-outcome-prediction",
1583
+ "query": "\"case outcome prediction\" in:name,description,readme"
1584
+ },
1585
+ {
1586
+ "id": "recall.computational-linguistics",
1587
+ "query": "\"computational linguistics\" model in:name,description,readme"
1588
+ },
1589
+ {
1590
+ "id": "recall.computational-social-science",
1591
+ "query": "\"computational social science\" in:name,description,readme"
1592
+ },
1593
+ {
1594
+ "id": "recall.digital-humanities-nlp",
1595
+ "query": "\"digital humanities\" NLP in:name,description,readme"
1596
+ },
1597
+ {
1598
+ "id": "recall.disease-surveillance",
1599
+ "query": "\"disease surveillance\" machine learning in:name,description,readme"
1600
+ },
1601
+ {
1602
+ "id": "recall.educational-recommendation",
1603
+ "query": "\"educational recommendation\" in:name,description,readme"
1604
+ },
1605
+ {
1606
+ "id": "recall.epidemic-forecasting",
1607
+ "query": "\"epidemic forecasting\" in:name,description,readme"
1608
+ },
1609
+ {
1610
+ "id": "recall.epidemiological-modeling",
1611
+ "query": "\"epidemiological modeling\" machine learning in:name,description,readme"
1612
+ },
1613
+ {
1614
+ "id": "recall.grid-stability-prediction",
1615
+ "query": "\"grid stability prediction\" in:name,description,readme"
1616
+ },
1617
+ {
1618
+ "id": "recall.historical-document-recognition",
1619
+ "query": "\"historical document recognition\" in:name,description,readme"
1620
+ },
1621
+ {
1622
+ "id": "recall.infrastructure-damage-detection",
1623
+ "query": "\"infrastructure damage detection\" deep learning in:name,description,readme"
1624
+ },
1625
+ {
1626
+ "id": "recall.insurance-risk-modeling",
1627
+ "query": "\"insurance risk\" machine learning in:name,description,readme"
1628
+ },
1629
+ {
1630
+ "id": "recall.legal-document-classification",
1631
+ "query": "\"legal document classification\" in:name,description,readme"
1632
+ },
1633
+ {
1634
+ "id": "recall.legal-nlp",
1635
+ "query": "legal NLP in:name,description,readme"
1636
+ },
1637
+ {
1638
+ "id": "recall.name.artificial-intelligence",
1639
+ "query": "\"artificial intelligence\" in:name,description,readme"
1640
+ },
1641
+ {
1642
+ "id": "recall.name.deep-learning",
1643
+ "query": "\"deep learning\" in:name,description,readme"
1644
+ },
1645
+ {
1646
+ "id": "recall.name.diffusion-model",
1647
+ "query": "diffusion model in:name,description,readme"
1648
+ },
1649
+ {
1650
+ "id": "recall.name.foundation-model",
1651
+ "query": "foundation model in:name,description,readme"
1652
+ },
1653
+ {
1654
+ "id": "recall.name.language-model",
1655
+ "query": "\"language model\" in:name,description,readme"
1656
+ },
1657
+ {
1658
+ "id": "recall.name.large-language-model",
1659
+ "query": "\"large language model\" in:name,description,readme"
1660
+ },
1661
+ {
1662
+ "id": "recall.name.machine-learning",
1663
+ "query": "\"machine learning\" in:name,description,readme"
1664
+ },
1665
+ {
1666
+ "id": "recall.name.multimodal-model",
1667
+ "query": "multimodal model in:name,description,readme"
1668
+ },
1669
+ {
1670
+ "id": "recall.name.neural-network",
1671
+ "query": "\"neural network\" in:name,description,readme"
1672
+ },
1673
+ {
1674
+ "id": "recall.name.transformer-model",
1675
+ "query": "transformer model in:name,description,readme"
1676
+ },
1677
+ {
1678
+ "id": "recall.player-tracking",
1679
+ "query": "\"player tracking\" computer vision in:name,description,readme"
1680
+ },
1681
+ {
1682
+ "id": "recall.population-health-prediction",
1683
+ "query": "\"population health prediction\" in:name,description,readme"
1684
+ },
1685
+ {
1686
+ "id": "recall.power-system-forecasting",
1687
+ "query": "\"power system forecasting\" in:name,description,readme"
1688
+ },
1689
+ {
1690
+ "id": "recall.social-media-analysis",
1691
+ "query": "\"social media analysis\" NLP in:name,description,readme"
1692
+ },
1693
+ {
1694
+ "id": "recall.sports-analytics",
1695
+ "query": "\"sports analytics\" model in:name,description,readme"
1696
+ },
1697
+ {
1698
+ "id": "recall.structural-health-monitoring",
1699
+ "query": "\"structural health monitoring\" machine learning in:name,description,readme"
1700
+ },
1701
+ {
1702
+ "id": "recall.student-performance-prediction",
1703
+ "query": "\"student performance prediction\" in:name,description,readme"
1704
+ },
1705
+ {
1706
+ "id": "recall26.audio-language-model",
1707
+ "query": "\"audio language model\" in:description,readme"
1708
+ },
1709
+ {
1710
+ "id": "recall26.class-imbalance",
1711
+ "query": "\"class imbalance\" \"machine learning\" in:description,readme"
1712
+ },
1713
+ {
1714
+ "id": "recall26.image-dehazing",
1715
+ "query": "\"image dehazing\" in:description,readme"
1716
+ },
1717
+ {
1718
+ "id": "recall26.image-denoising",
1719
+ "query": "\"image denoising\" in:description,readme"
1720
+ },
1721
+ {
1722
+ "id": "recall26.long-tailed-recognition",
1723
+ "query": "\"long-tailed recognition\" in:description,readme"
1724
+ },
1725
+ {
1726
+ "id": "recall26.low-light-enhancement",
1727
+ "query": "\"low-light image enhancement\" in:description,readme"
1728
+ },
1729
+ {
1730
+ "id": "recall26.sign-language",
1731
+ "query": "\"sign language\" in:description,readme"
1732
+ },
1733
+ {
1734
+ "id": "recall26.visual-grounding",
1735
+ "query": "\"visual grounding\" in:description,readme"
1736
+ },
1737
+ {
1738
+ "id": "rl.bandits",
1739
+ "query": "\"multi-armed bandit\" in:description"
1740
+ },
1741
+ {
1742
+ "id": "rl.continual",
1743
+ "query": "\"continual reinforcement learning\" in:description,readme"
1744
+ },
1745
+ {
1746
+ "id": "rl.core",
1747
+ "query": "topic:reinforcement-learning"
1748
+ },
1749
+ {
1750
+ "id": "rl.deep",
1751
+ "query": "\"deep reinforcement learning\" in:description"
1752
+ },
1753
+ {
1754
+ "id": "rl.deep-q-learning",
1755
+ "query": "\"deep q-learning\" in:description"
1756
+ },
1757
+ {
1758
+ "id": "rl.distributional",
1759
+ "query": "\"distributional reinforcement learning\" in:description,readme"
1760
+ },
1761
+ {
1762
+ "id": "rl.exploration",
1763
+ "query": "\"reinforcement learning exploration\" in:description"
1764
+ },
1765
+ {
1766
+ "id": "rl.games",
1767
+ "query": "topic:game-ai"
1768
+ },
1769
+ {
1770
+ "id": "rl.hierarchical",
1771
+ "query": "\"hierarchical reinforcement learning\" in:description"
1772
+ },
1773
+ {
1774
+ "id": "rl.imitation-learning",
1775
+ "query": "\"imitation learning\" in:description"
1776
+ },
1777
+ {
1778
+ "id": "rl.inverse",
1779
+ "query": "\"inverse reinforcement learning\" in:description"
1780
+ },
1781
+ {
1782
+ "id": "rl.model-based",
1783
+ "query": "\"model-based reinforcement learning\" in:description"
1784
+ },
1785
+ {
1786
+ "id": "rl.model-free",
1787
+ "query": "\"model-free reinforcement learning\" in:description"
1788
+ },
1789
+ {
1790
+ "id": "rl.multiagent",
1791
+ "query": "\"multi-agent reinforcement learning\" in:description"
1792
+ },
1793
+ {
1794
+ "id": "rl.offline",
1795
+ "query": "\"offline reinforcement learning\" in:description"
1796
+ },
1797
+ {
1798
+ "id": "rl.planning",
1799
+ "query": "\"reinforcement learning planning\" in:description"
1800
+ },
1801
+ {
1802
+ "id": "rl.policy-gradient",
1803
+ "query": "\"policy gradient\" in:description"
1804
+ },
1805
+ {
1806
+ "id": "rl.ppo",
1807
+ "query": "\"proximal policy optimization\" in:description"
1808
+ },
1809
+ {
1810
+ "id": "rl.preference",
1811
+ "query": "\"preference-based reinforcement learning\" in:description"
1812
+ },
1813
+ {
1814
+ "id": "rl.reinforcement-learning-from-human-feedback",
1815
+ "query": "\"reinforcement learning from human feedback\" in:description"
1816
+ },
1817
+ {
1818
+ "id": "rl.safe",
1819
+ "query": "\"safe reinforcement learning\" in:description"
1820
+ },
1821
+ {
1822
+ "id": "rl.soft-actor-critic",
1823
+ "query": "\"soft actor-critic\" in:description"
1824
+ },
1825
+ {
1826
+ "id": "robotics.autonomous-driving",
1827
+ "query": "\"autonomous driving\" in:description"
1828
+ },
1829
+ {
1830
+ "id": "robotics.behavior-cloning",
1831
+ "query": "\"behavior cloning\" in:description"
1832
+ },
1833
+ {
1834
+ "id": "robotics.diffusion-policy",
1835
+ "query": "\"diffusion policy\" in:description"
1836
+ },
1837
+ {
1838
+ "id": "robotics.domain-randomization",
1839
+ "query": "\"domain randomization\" in:description"
1840
+ },
1841
+ {
1842
+ "id": "robotics.embodied-ai",
1843
+ "query": "\"embodied AI\" in:description"
1844
+ },
1845
+ {
1846
+ "id": "robotics.grasping",
1847
+ "query": "\"robot grasping\" in:description"
1848
+ },
1849
+ {
1850
+ "id": "robotics.imitation-learning",
1851
+ "query": "\"imitation learning\" robotics in:description"
1852
+ },
1853
+ {
1854
+ "id": "robotics.locomotion",
1855
+ "query": "\"robot locomotion\" in:description"
1856
+ },
1857
+ {
1858
+ "id": "robotics.manipulation",
1859
+ "query": "\"robot manipulation\" in:description"
1860
+ },
1861
+ {
1862
+ "id": "robotics.navigation",
1863
+ "query": "\"robot navigation\" in:description"
1864
+ },
1865
+ {
1866
+ "id": "robotics.robot-control",
1867
+ "query": "\"robot control\" in:description"
1868
+ },
1869
+ {
1870
+ "id": "robotics.robot-foundation-model",
1871
+ "query": "robot foundation model in:description,readme"
1872
+ },
1873
+ {
1874
+ "id": "robotics.robot-learning",
1875
+ "query": "\"robot learning\" in:description"
1876
+ },
1877
+ {
1878
+ "id": "robotics.robot-manipulation-learning",
1879
+ "query": "\"robot manipulation learning\" in:readme"
1880
+ },
1881
+ {
1882
+ "id": "robotics.robot-motion-planning",
1883
+ "query": "\"robot motion planning\" in:description"
1884
+ },
1885
+ {
1886
+ "id": "robotics.robotics-reinforcement-learning",
1887
+ "query": "\"robotics reinforcement learning\" in:description"
1888
+ },
1889
+ {
1890
+ "id": "robotics.robotics-topic",
1891
+ "query": "topic:robotics"
1892
+ },
1893
+ {
1894
+ "id": "robotics.sim2real",
1895
+ "query": "\"sim-to-real\" in:description"
1896
+ },
1897
+ {
1898
+ "id": "robotics.slam",
1899
+ "query": "SLAM robotics in:description"
1900
+ },
1901
+ {
1902
+ "id": "robotics.tactile-learning",
1903
+ "query": "tactile robot learning in:description,readme"
1904
+ },
1905
+ {
1906
+ "id": "robotics.teleoperation",
1907
+ "query": "robot teleoperation learning in:description,readme"
1908
+ },
1909
+ {
1910
+ "id": "robotics.visual-language-action",
1911
+ "query": "\"vision-language-action\" in:description"
1912
+ },
1913
+ {
1914
+ "id": "robotics.visuomotor-policy",
1915
+ "query": "\"visuomotor policy\" in:description"
1916
+ },
1917
+ {
1918
+ "id": "science.astronomy",
1919
+ "query": "astronomy in:readme"
1920
+ },
1921
+ {
1922
+ "id": "science.astrophysics",
1923
+ "query": "astrophysics in:description"
1924
+ },
1925
+ {
1926
+ "id": "science.climate-modeling",
1927
+ "query": "\"climate modeling\" in:readme"
1928
+ },
1929
+ {
1930
+ "id": "science.computational-mechanics",
1931
+ "query": "\"computational mechanics\" \"machine learning\" in:description,readme"
1932
+ },
1933
+ {
1934
+ "id": "science.cosmology",
1935
+ "query": "cosmology in:description"
1936
+ },
1937
+ {
1938
+ "id": "science.differentiable-simulation",
1939
+ "query": "\"differentiable simulation\" in:readme"
1940
+ },
1941
+ {
1942
+ "id": "science.exoplanets",
1943
+ "query": "exoplanet in:description \"machine learning\""
1944
+ },
1945
+ {
1946
+ "id": "science.fluid-dynamics",
1947
+ "query": "\"fluid dynamics\" in:description"
1948
+ },
1949
+ {
1950
+ "id": "science.fusion-plasma",
1951
+ "query": "fusion plasma in:description \"machine learning\""
1952
+ },
1953
+ {
1954
+ "id": "science.gravitational-waves",
1955
+ "query": "\"gravitational wave\" \"machine learning\" in:description,readme"
1956
+ },
1957
+ {
1958
+ "id": "science.inverse-problems",
1959
+ "query": "\"inverse problems\" in:description"
1960
+ },
1961
+ {
1962
+ "id": "science.neural-operators",
1963
+ "query": "\"neural operator\" in:description"
1964
+ },
1965
+ {
1966
+ "id": "science.ocean-modeling",
1967
+ "query": "\"ocean modeling\" \"machine learning\" in:description,readme"
1968
+ },
1969
+ {
1970
+ "id": "science.particle-physics",
1971
+ "query": "\"particle physics\" in:description"
1972
+ },
1973
+ {
1974
+ "id": "science.photonics",
1975
+ "query": "photonics \"machine learning\" in:description,readme"
1976
+ },
1977
+ {
1978
+ "id": "science.physics",
1979
+ "query": "physics in:description"
1980
+ },
1981
+ {
1982
+ "id": "science.physics-informed-neural-networks",
1983
+ "query": "\"physics-informed neural network\" in:description"
1984
+ },
1985
+ {
1986
+ "id": "science.plasma-physics",
1987
+ "query": "\"plasma physics\" in:description"
1988
+ },
1989
+ {
1990
+ "id": "science.quantum-materials",
1991
+ "query": "\"quantum materials\" \"machine learning\" in:description,readme"
1992
+ },
1993
+ {
1994
+ "id": "science.quantum-physics",
1995
+ "query": "\"quantum many-body\" \"machine learning\" in:description,readme"
1996
+ },
1997
+ {
1998
+ "id": "science.remote-sensing",
1999
+ "query": "\"remote sensing\" in:description"
2000
+ },
2001
+ {
2002
+ "id": "science.scientific-machine-learning",
2003
+ "query": "\"scientific machine learning\" in:readme"
2004
+ },
2005
+ {
2006
+ "id": "science.seismic",
2007
+ "query": "\"seismic data\" \"machine learning\" in:description,readme"
2008
+ },
2009
+ {
2010
+ "id": "science.turbulence",
2011
+ "query": "turbulence in:description \"machine learning\""
2012
+ },
2013
+ {
2014
+ "id": "science.weather-forecasting",
2015
+ "query": "\"weather forecasting\" climate in:description"
2016
+ },
2017
+ {
2018
+ "id": "science.weather-nowcasting",
2019
+ "query": "nowcasting in:description \"machine learning\""
2020
+ },
2021
+ {
2022
+ "id": "specialized.carbon-footprint-training",
2023
+ "query": "\"carbon footprint\" \"deep learning\" training in:description,readme"
2024
+ },
2025
+ {
2026
+ "id": "specialized.computational-pathology-ml",
2027
+ "query": "\"computational pathology\" \"machine learning\" in:description,readme"
2028
+ },
2029
+ {
2030
+ "id": "specialized.coreset-selection",
2031
+ "query": "\"coreset selection\" in:description,readme"
2032
+ },
2033
+ {
2034
+ "id": "specialized.curriculum-learning",
2035
+ "query": "\"curriculum learning\" in:description,readme"
2036
+ },
2037
+ {
2038
+ "id": "specialized.data-centric-ai",
2039
+ "query": "\"data-centric AI\" in:description,readme"
2040
+ },
2041
+ {
2042
+ "id": "specialized.data-shapley",
2043
+ "query": "\"data Shapley\" in:description,readme"
2044
+ },
2045
+ {
2046
+ "id": "specialized.dataset-distillation",
2047
+ "query": "\"dataset distillation\" in:description,readme"
2048
+ },
2049
+ {
2050
+ "id": "specialized.event-camera-deep-learning",
2051
+ "query": "\"event camera\" \"deep learning\" in:description,readme"
2052
+ },
2053
+ {
2054
+ "id": "specialized.fmri-decoding-ml",
2055
+ "query": "\"fMRI decoding\" \"machine learning\" in:description,readme"
2056
+ },
2057
+ {
2058
+ "id": "specialized.machine-unlearning",
2059
+ "query": "\"machine unlearning\" in:description,readme"
2060
+ },
2061
+ {
2062
+ "id": "specialized.mechanistic-interpretability",
2063
+ "query": "\"mechanistic interpretability\" in:description,readme"
2064
+ },
2065
+ {
2066
+ "id": "specialized.medical-image-registration-deep-learning",
2067
+ "query": "\"medical image registration\" \"deep learning\" in:description,readme"
2068
+ },
2069
+ {
2070
+ "id": "specialized.pathology-foundation-model",
2071
+ "query": "\"pathology foundation model\" \"machine learning\" in:description,readme"
2072
+ },
2073
+ {
2074
+ "id": "specialized.spiking-neural-network",
2075
+ "query": "\"spiking neural network\" in:description,readme"
2076
+ },
2077
+ {
2078
+ "id": "specialized.test-time-adaptation",
2079
+ "query": "\"test-time adaptation\" in:description,readme"
2080
+ },
2081
+ {
2082
+ "id": "timeseries.anomaly-detection",
2083
+ "query": "\"time series anomaly detection\" in:description"
2084
+ },
2085
+ {
2086
+ "id": "timeseries.classification",
2087
+ "query": "\"time series classification\" in:description"
2088
+ },
2089
+ {
2090
+ "id": "timeseries.clustering",
2091
+ "query": "\"time series clustering\" in:description,readme"
2092
+ },
2093
+ {
2094
+ "id": "timeseries.energy-forecasting",
2095
+ "query": "\"energy forecasting\" in:description"
2096
+ },
2097
+ {
2098
+ "id": "timeseries.event-forecasting",
2099
+ "query": "\"event forecasting\" in:description"
2100
+ },
2101
+ {
2102
+ "id": "timeseries.forecasting",
2103
+ "query": "\"time series forecasting\" in:description"
2104
+ },
2105
+ {
2106
+ "id": "timeseries.foundation-models",
2107
+ "query": "\"time series foundation model\" in:description"
2108
+ },
2109
+ {
2110
+ "id": "timeseries.imputation",
2111
+ "query": "\"time series imputation\" in:description,readme"
2112
+ },
2113
+ {
2114
+ "id": "timeseries.long-horizon",
2115
+ "query": "\"long horizon forecasting\" in:readme"
2116
+ },
2117
+ {
2118
+ "id": "timeseries.multivariate",
2119
+ "query": "\"multivariate time series\" in:description"
2120
+ },
2121
+ {
2122
+ "id": "timeseries.nbeats",
2123
+ "query": "N-BEATS in:description"
2124
+ },
2125
+ {
2126
+ "id": "timeseries.patchtst",
2127
+ "query": "PatchTST in:description"
2128
+ },
2129
+ {
2130
+ "id": "timeseries.predictive-maintenance",
2131
+ "query": "\"predictive maintenance\" in:description"
2132
+ },
2133
+ {
2134
+ "id": "timeseries.probabilistic-forecasting",
2135
+ "query": "\"probabilistic forecasting\" in:readme"
2136
+ },
2137
+ {
2138
+ "id": "timeseries.remaining-useful-life",
2139
+ "query": "\"remaining useful life\" in:readme"
2140
+ },
2141
+ {
2142
+ "id": "timeseries.sensor-data",
2143
+ "query": "\"sensor time series\" in:description"
2144
+ },
2145
+ {
2146
+ "id": "timeseries.state-space-models",
2147
+ "query": "\"state space model\" in:description"
2148
+ },
2149
+ {
2150
+ "id": "timeseries.streaming",
2151
+ "query": "\"streaming time series\" in:readme"
2152
+ },
2153
+ {
2154
+ "id": "timeseries.synthetic-generation",
2155
+ "query": "\"time series generation\" in:description,readme"
2156
+ },
2157
+ {
2158
+ "id": "timeseries.tabular-foundation-models",
2159
+ "query": "\"tabular foundation model\" in:description,readme"
2160
+ },
2161
+ {
2162
+ "id": "timeseries.temporal-fusion-transformer",
2163
+ "query": "\"temporal fusion transformer\" in:description"
2164
+ },
2165
+ {
2166
+ "id": "timeseries.temporal-representation",
2167
+ "query": "\"temporal representation learning\" in:readme"
2168
+ },
2169
+ {
2170
+ "id": "timeseries.topic",
2171
+ "query": "topic:time-series"
2172
+ },
2173
+ {
2174
+ "id": "timeseries.traffic-forecasting",
2175
+ "query": "\"traffic forecasting\" in:description"
2176
+ },
2177
+ {
2178
+ "id": "timeseries.unevenly-spaced",
2179
+ "query": "\"irregular time series\" in:description"
2180
+ },
2181
+ {
2182
+ "id": "timeseries.weather-forecasting",
2183
+ "query": "\"weather forecasting\" in:description"
2184
+ },
2185
+ {
2186
+ "id": "trust.adversarial-robustness",
2187
+ "query": "\"adversarial robustness\" in:description"
2188
+ },
2189
+ {
2190
+ "id": "trust.ai-alignment",
2191
+ "query": "\"AI alignment\" in:description"
2192
+ },
2193
+ {
2194
+ "id": "trust.ai-safety",
2195
+ "query": "\"AI safety\" in:description"
2196
+ },
2197
+ {
2198
+ "id": "trust.algorithmic-fairness",
2199
+ "query": "\"algorithmic fairness\" in:description"
2200
+ },
2201
+ {
2202
+ "id": "trust.algorithmic-recourse",
2203
+ "query": "\"algorithmic recourse\" in:description"
2204
+ },
2205
+ {
2206
+ "id": "trust.causal-discovery",
2207
+ "query": "\"causal discovery\" in:description"
2208
+ },
2209
+ {
2210
+ "id": "trust.causal-effect-estimation",
2211
+ "query": "\"causal effect estimation\" in:description"
2212
+ },
2213
+ {
2214
+ "id": "trust.causal-mediation",
2215
+ "query": "\"causal mediation analysis\" in:description"
2216
+ },
2217
+ {
2218
+ "id": "trust.causal-ml",
2219
+ "query": "\"causal machine learning\" in:description"
2220
+ },
2221
+ {
2222
+ "id": "trust.causal-representation-learning",
2223
+ "query": "\"causal representation learning\" in:description"
2224
+ },
2225
+ {
2226
+ "id": "trust.conformal-prediction",
2227
+ "query": "\"conformal prediction\" in:description"
2228
+ },
2229
+ {
2230
+ "id": "trust.counterfactual-explanations",
2231
+ "query": "\"counterfactual explanation\" in:description"
2232
+ },
2233
+ {
2234
+ "id": "trust.differential-privacy",
2235
+ "query": "\"differential privacy\" in:description"
2236
+ },
2237
+ {
2238
+ "id": "trust.distribution-shift",
2239
+ "query": "\"distribution shift\" in:description"
2240
+ },
2241
+ {
2242
+ "id": "trust.domain-generalization",
2243
+ "query": "\"domain generalization\" in:description"
2244
+ },
2245
+ {
2246
+ "id": "trust.explainable-ai",
2247
+ "query": "\"explainable AI\" in:description"
2248
+ },
2249
+ {
2250
+ "id": "trust.federated-learning",
2251
+ "query": "\"federated learning\" in:description"
2252
+ },
2253
+ {
2254
+ "id": "trust.instrumental-variable-ml",
2255
+ "query": "\"double machine learning\" in:description"
2256
+ },
2257
+ {
2258
+ "id": "trust.interpretable-ml",
2259
+ "query": "\"interpretable machine learning\" in:description"
2260
+ },
2261
+ {
2262
+ "id": "trust.membership-inference",
2263
+ "query": "\"membership inference\" in:description"
2264
+ },
2265
+ {
2266
+ "id": "trust.ml-fairness",
2267
+ "query": "\"machine learning fairness\" in:description"
2268
+ },
2269
+ {
2270
+ "id": "trust.model-calibration",
2271
+ "query": "\"model calibration\" in:description"
2272
+ },
2273
+ {
2274
+ "id": "trust.neuro-symbolic",
2275
+ "query": "\"neuro-symbolic\" in:description"
2276
+ },
2277
+ {
2278
+ "id": "trust.out-of-distribution-detection",
2279
+ "query": "\"out-of-distribution detection\" in:description"
2280
+ },
2281
+ {
2282
+ "id": "trust.privacy-preserving-ml",
2283
+ "query": "\"privacy-preserving machine learning\" in:description"
2284
+ },
2285
+ {
2286
+ "id": "trust.robustness-certification",
2287
+ "query": "\"certified robustness\" in:description"
2288
+ },
2289
+ {
2290
+ "id": "trust.safe-reinforcement-learning",
2291
+ "query": "\"safe reinforcement learning\" constrained in:description"
2292
+ },
2293
+ {
2294
+ "id": "trust.shap",
2295
+ "query": "SHAP in:description"
2296
+ },
2297
+ {
2298
+ "id": "trust.uncertainty-quantification",
2299
+ "query": "\"uncertainty quantification\" in:description"
2300
+ },
2301
+ {
2302
+ "id": "vision.action-recognition",
2303
+ "query": "\"action recognition\" in:description"
2304
+ },
2305
+ {
2306
+ "id": "vision.change-detection",
2307
+ "query": "\"change detection\" in:readme"
2308
+ },
2309
+ {
2310
+ "id": "vision.depth-estimation",
2311
+ "query": "\"depth estimation\" in:readme"
2312
+ },
2313
+ {
2314
+ "id": "vision.face-recognition",
2315
+ "query": "\"face recognition\" in:readme"
2316
+ },
2317
+ {
2318
+ "id": "vision.image-captioning",
2319
+ "query": "\"image captioning\" in:readme"
2320
+ },
2321
+ {
2322
+ "id": "vision.image-classification",
2323
+ "query": "\"image classification\" in:description"
2324
+ },
2325
+ {
2326
+ "id": "vision.image-diffusion",
2327
+ "query": "\"image diffusion model\" in:readme"
2328
+ },
2329
+ {
2330
+ "id": "vision.image-restoration",
2331
+ "query": "\"image restoration\" in:readme"
2332
+ },
2333
+ {
2334
+ "id": "vision.image-retrieval",
2335
+ "query": "\"image retrieval\" in:readme"
2336
+ },
2337
+ {
2338
+ "id": "vision.image-super-resolution",
2339
+ "query": "\"image super-resolution\" in:readme"
2340
+ },
2341
+ {
2342
+ "id": "vision.image-to-image-translation",
2343
+ "query": "\"image-to-image translation\" in:readme"
2344
+ },
2345
+ {
2346
+ "id": "vision.neural-rendering",
2347
+ "query": "\"neural rendering\" in:description"
2348
+ },
2349
+ {
2350
+ "id": "vision.object-detection",
2351
+ "query": "\"object detection\" in:description"
2352
+ },
2353
+ {
2354
+ "id": "vision.object-tracking",
2355
+ "query": "\"object tracking\" in:readme"
2356
+ },
2357
+ {
2358
+ "id": "vision.ocr",
2359
+ "query": "topic:ocr"
2360
+ },
2361
+ {
2362
+ "id": "vision.open-vocabulary-detection",
2363
+ "query": "\"open-vocabulary detection\" in:readme"
2364
+ },
2365
+ {
2366
+ "id": "vision.optical-flow",
2367
+ "query": "topic:optical-flow"
2368
+ },
2369
+ {
2370
+ "id": "vision.pose-estimation",
2371
+ "query": "\"human pose estimation\" in:readme"
2372
+ },
2373
+ {
2374
+ "id": "vision.promptable-segmentation",
2375
+ "query": "\"promptable segmentation\" in:readme"
2376
+ },
2377
+ {
2378
+ "id": "vision.segmentation",
2379
+ "query": "\"image segmentation\" in:description"
2380
+ },
2381
+ {
2382
+ "id": "vision.self-supervised-vision",
2383
+ "query": "\"self-supervised vision\" in:description"
2384
+ },
2385
+ {
2386
+ "id": "vision.topic-computer-vision",
2387
+ "query": "topic:computer-vision"
2388
+ },
2389
+ {
2390
+ "id": "vision.video-generation",
2391
+ "query": "\"video generation\" in:readme"
2392
+ },
2393
+ {
2394
+ "id": "vision.video-understanding",
2395
+ "query": "\"video understanding\" in:readme"
2396
+ },
2397
+ {
2398
+ "id": "vision.vision-language",
2399
+ "query": "\"vision-language model\" in:readme"
2400
+ },
2401
+ {
2402
+ "id": "vision.visual-anomaly-detection",
2403
+ "query": "\"visual anomaly detection\" in:readme"
2404
+ },
2405
+ {
2406
+ "id": "vision.visual-localization",
2407
+ "query": "\"visual localization\" in:readme"
2408
+ }
2409
+ ],
2410
+ "start": "2026-10-18"
2411
+ },
2412
  "search_policy_version": 2,
2413
  "since": "2026-10-18",
2414
+ "until": "2026-10-20",
2415
+ "updated_at": "2026-10-20T14:21:44Z"
2416
  }