Add GitHub ML run 20261103T180858000000Z-1d00a04a
Browse files
coverage/20261103T180858000000Z-1d00a04a.json
ADDED
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@@ -0,0 +1,2812 @@
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data/observations/2026/11/03/20261103T180858000000Z-1d00a04a.jsonl
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|
|
|
state/historical-sample.json
CHANGED
|
@@ -2440,7 +2440,8 @@
|
|
| 2440 |
2017,
|
| 2441 |
2016,
|
| 2442 |
2015,
|
| 2443 |
-
2014
|
|
|
|
| 2444 |
]
|
| 2445 |
},
|
| 2446 |
"applied.algorithmic-trading": {
|
|
@@ -2458,7 +2459,8 @@
|
|
| 2458 |
2017,
|
| 2459 |
2016,
|
| 2460 |
2015,
|
| 2461 |
-
2014
|
|
|
|
| 2462 |
]
|
| 2463 |
},
|
| 2464 |
"applied.causal-inference": {
|
|
@@ -2476,7 +2478,8 @@
|
|
| 2476 |
2017,
|
| 2477 |
2016,
|
| 2478 |
2015,
|
| 2479 |
-
2014
|
|
|
|
| 2480 |
]
|
| 2481 |
},
|
| 2482 |
"applied.churn-prediction": {
|
|
@@ -2494,7 +2497,8 @@
|
|
| 2494 |
2017,
|
| 2495 |
2016,
|
| 2496 |
2015,
|
| 2497 |
-
2014
|
|
|
|
| 2498 |
]
|
| 2499 |
},
|
| 2500 |
"applied.click-through-rate": {
|
|
@@ -2512,7 +2516,8 @@
|
|
| 2512 |
2017,
|
| 2513 |
2016,
|
| 2514 |
2015,
|
| 2515 |
-
2014
|
|
|
|
| 2516 |
]
|
| 2517 |
},
|
| 2518 |
"applied.collaborative-filtering": {
|
|
@@ -2530,7 +2535,8 @@
|
|
| 2530 |
2017,
|
| 2531 |
2016,
|
| 2532 |
2015,
|
| 2533 |
-
2014
|
|
|
|
| 2534 |
]
|
| 2535 |
},
|
| 2536 |
"applied.credit-scoring": {
|
|
@@ -3184,7 +3190,8 @@
|
|
| 3184 |
2017,
|
| 3185 |
2016,
|
| 3186 |
2015,
|
| 3187 |
-
2014
|
|
|
|
| 3188 |
]
|
| 3189 |
},
|
| 3190 |
"audio-generation": {
|
|
@@ -3202,7 +3209,8 @@
|
|
| 3202 |
2017,
|
| 3203 |
2016,
|
| 3204 |
2015,
|
| 3205 |
-
2014
|
|
|
|
| 3206 |
]
|
| 3207 |
},
|
| 3208 |
"audio-keyword-spotting": {
|
|
@@ -3220,7 +3228,8 @@
|
|
| 3220 |
2017,
|
| 3221 |
2016,
|
| 3222 |
2015,
|
| 3223 |
-
2014
|
|
|
|
| 3224 |
]
|
| 3225 |
},
|
| 3226 |
"audio-music-generation": {
|
|
@@ -3238,7 +3247,8 @@
|
|
| 3238 |
2017,
|
| 3239 |
2016,
|
| 3240 |
2015,
|
| 3241 |
-
2014
|
|
|
|
| 3242 |
]
|
| 3243 |
},
|
| 3244 |
"audio-music-information-retrieval": {
|
|
@@ -3256,7 +3266,8 @@
|
|
| 3256 |
2017,
|
| 3257 |
2016,
|
| 3258 |
2015,
|
| 3259 |
-
2014
|
|
|
|
| 3260 |
]
|
| 3261 |
},
|
| 3262 |
"audio-music-recommendation": {
|
|
@@ -3274,7 +3285,8 @@
|
|
| 3274 |
2017,
|
| 3275 |
2016,
|
| 3276 |
2015,
|
| 3277 |
-
2014
|
|
|
|
| 3278 |
]
|
| 3279 |
},
|
| 3280 |
"audio-music-source-separation": {
|
|
@@ -3292,7 +3304,8 @@
|
|
| 3292 |
2017,
|
| 3293 |
2016,
|
| 3294 |
2015,
|
| 3295 |
-
2014
|
|
|
|
| 3296 |
]
|
| 3297 |
},
|
| 3298 |
"audio-music-transcription": {
|
|
@@ -3310,7 +3323,8 @@
|
|
| 3310 |
2017,
|
| 3311 |
2016,
|
| 3312 |
2015,
|
| 3313 |
-
2014
|
|
|
|
| 3314 |
]
|
| 3315 |
},
|
| 3316 |
"audio-neural-codec": {
|
|
@@ -3328,7 +3342,8 @@
|
|
| 3328 |
2017,
|
| 3329 |
2016,
|
| 3330 |
2015,
|
| 3331 |
-
2014
|
|
|
|
| 3332 |
]
|
| 3333 |
},
|
| 3334 |
"audio-sound-event-detection": {
|
|
@@ -3346,7 +3361,8 @@
|
|
| 3346 |
2017,
|
| 3347 |
2016,
|
| 3348 |
2015,
|
| 3349 |
-
2014
|
|
|
|
| 3350 |
]
|
| 3351 |
},
|
| 3352 |
"audio-source-separation": {
|
|
@@ -3364,7 +3380,8 @@
|
|
| 3364 |
2017,
|
| 3365 |
2016,
|
| 3366 |
2015,
|
| 3367 |
-
2014
|
|
|
|
| 3368 |
]
|
| 3369 |
},
|
| 3370 |
"audio-speaker-diarization": {
|
|
@@ -3382,7 +3399,8 @@
|
|
| 3382 |
2017,
|
| 3383 |
2016,
|
| 3384 |
2015,
|
| 3385 |
-
2014
|
|
|
|
| 3386 |
]
|
| 3387 |
},
|
| 3388 |
"audio-speaker-verification": {
|
|
@@ -3400,7 +3418,8 @@
|
|
| 3400 |
2017,
|
| 3401 |
2016,
|
| 3402 |
2015,
|
| 3403 |
-
2014
|
|
|
|
| 3404 |
]
|
| 3405 |
},
|
| 3406 |
"audio-speech-emotion-recognition": {
|
|
@@ -3418,7 +3437,8 @@
|
|
| 3418 |
2017,
|
| 3419 |
2016,
|
| 3420 |
2015,
|
| 3421 |
-
2014
|
|
|
|
| 3422 |
]
|
| 3423 |
},
|
| 3424 |
"audio-speech-enhancement": {
|
|
@@ -3436,7 +3456,8 @@
|
|
| 3436 |
2017,
|
| 3437 |
2016,
|
| 3438 |
2015,
|
| 3439 |
-
2014
|
|
|
|
| 3440 |
]
|
| 3441 |
},
|
| 3442 |
"audio-speech-synthesis": {
|
|
@@ -3454,7 +3475,8 @@
|
|
| 3454 |
2017,
|
| 3455 |
2016,
|
| 3456 |
2015,
|
| 3457 |
-
2014
|
|
|
|
| 3458 |
]
|
| 3459 |
},
|
| 3460 |
"audio-speech-to-text": {
|
|
@@ -3472,7 +3494,8 @@
|
|
| 3472 |
2017,
|
| 3473 |
2016,
|
| 3474 |
2015,
|
| 3475 |
-
2014
|
|
|
|
| 3476 |
]
|
| 3477 |
},
|
| 3478 |
"audio-speech-translation": {
|
|
@@ -3490,7 +3513,8 @@
|
|
| 3490 |
2017,
|
| 3491 |
2016,
|
| 3492 |
2015,
|
| 3493 |
-
2014
|
|
|
|
| 3494 |
]
|
| 3495 |
},
|
| 3496 |
"audio-text-to-audio": {
|
|
@@ -3508,7 +3532,8 @@
|
|
| 3508 |
2017,
|
| 3509 |
2016,
|
| 3510 |
2015,
|
| 3511 |
-
2014
|
|
|
|
| 3512 |
]
|
| 3513 |
},
|
| 3514 |
"audio-text-to-speech": {
|
|
@@ -3526,7 +3551,8 @@
|
|
| 3526 |
2017,
|
| 3527 |
2016,
|
| 3528 |
2015,
|
| 3529 |
-
2014
|
|
|
|
| 3530 |
]
|
| 3531 |
},
|
| 3532 |
"audio-voice-conversion": {
|
|
@@ -3544,7 +3570,8 @@
|
|
| 3544 |
2017,
|
| 3545 |
2016,
|
| 3546 |
2015,
|
| 3547 |
-
2014
|
|
|
|
| 3548 |
]
|
| 3549 |
},
|
| 3550 |
"bio.cell-atlas": {
|
|
@@ -3562,7 +3589,8 @@
|
|
| 3562 |
2017,
|
| 3563 |
2016,
|
| 3564 |
2015,
|
| 3565 |
-
2014
|
|
|
|
| 3566 |
]
|
| 3567 |
},
|
| 3568 |
"bio.chemical-biology": {
|
|
@@ -3580,7 +3608,8 @@
|
|
| 3580 |
2017,
|
| 3581 |
2016,
|
| 3582 |
2015,
|
| 3583 |
-
2014
|
|
|
|
| 3584 |
]
|
| 3585 |
},
|
| 3586 |
"bio.crispr": {
|
|
@@ -3598,7 +3627,8 @@
|
|
| 3598 |
2017,
|
| 3599 |
2016,
|
| 3600 |
2015,
|
| 3601 |
-
2014
|
|
|
|
| 3602 |
]
|
| 3603 |
},
|
| 3604 |
"bio.dna-language-models": {
|
|
@@ -3616,7 +3646,8 @@
|
|
| 3616 |
2017,
|
| 3617 |
2016,
|
| 3618 |
2015,
|
| 3619 |
-
2014
|
|
|
|
| 3620 |
]
|
| 3621 |
},
|
| 3622 |
"bio.gene-regulatory-networks": {
|
|
@@ -3634,7 +3665,8 @@
|
|
| 3634 |
2017,
|
| 3635 |
2016,
|
| 3636 |
2015,
|
| 3637 |
-
2014
|
|
|
|
| 3638 |
]
|
| 3639 |
},
|
| 3640 |
"bio.genome-assembly": {
|
|
@@ -3652,7 +3684,8 @@
|
|
| 3652 |
2017,
|
| 3653 |
2016,
|
| 3654 |
2015,
|
| 3655 |
-
2014
|
|
|
|
| 3656 |
]
|
| 3657 |
},
|
| 3658 |
"bio.genomics": {
|
|
@@ -3670,7 +3703,8 @@
|
|
| 3670 |
2017,
|
| 3671 |
2016,
|
| 3672 |
2015,
|
| 3673 |
-
2014
|
|
|
|
| 3674 |
]
|
| 3675 |
},
|
| 3676 |
"bio.inverse-folding": {
|
|
@@ -4030,7 +4064,8 @@
|
|
| 4030 |
2017,
|
| 4031 |
2016,
|
| 4032 |
2015,
|
| 4033 |
-
2014
|
|
|
|
| 4034 |
]
|
| 4035 |
},
|
| 4036 |
"chem-binding-affinity": {
|
|
@@ -4048,7 +4083,8 @@
|
|
| 4048 |
2017,
|
| 4049 |
2016,
|
| 4050 |
2015,
|
| 4051 |
-
2014
|
|
|
|
| 4052 |
]
|
| 4053 |
},
|
| 4054 |
"chem-catalyst-discovery": {
|
|
@@ -4066,7 +4102,8 @@
|
|
| 4066 |
2017,
|
| 4067 |
2016,
|
| 4068 |
2015,
|
| 4069 |
-
2014
|
|
|
|
| 4070 |
]
|
| 4071 |
},
|
| 4072 |
"chem-cheminformatics": {
|
|
@@ -4084,7 +4121,8 @@
|
|
| 4084 |
2017,
|
| 4085 |
2016,
|
| 4086 |
2015,
|
| 4087 |
-
2014
|
|
|
|
| 4088 |
]
|
| 4089 |
},
|
| 4090 |
"chem-drug-discovery": {
|
|
@@ -4102,7 +4140,8 @@
|
|
| 4102 |
2017,
|
| 4103 |
2016,
|
| 4104 |
2015,
|
| 4105 |
-
2014
|
|
|
|
| 4106 |
]
|
| 4107 |
},
|
| 4108 |
"chem-interatomic-potentials": {
|
|
@@ -4120,7 +4159,8 @@
|
|
| 4120 |
2017,
|
| 4121 |
2016,
|
| 4122 |
2015,
|
| 4123 |
-
2014
|
|
|
|
| 4124 |
]
|
| 4125 |
},
|
| 4126 |
"chem-molecular-docking": {
|
|
@@ -4138,7 +4178,8 @@
|
|
| 4138 |
2017,
|
| 4139 |
2016,
|
| 4140 |
2015,
|
| 4141 |
-
2014
|
|
|
|
| 4142 |
]
|
| 4143 |
},
|
| 4144 |
"chem-molecular-dynamics": {
|
|
@@ -4156,7 +4197,8 @@
|
|
| 4156 |
2017,
|
| 4157 |
2016,
|
| 4158 |
2015,
|
| 4159 |
-
2014
|
|
|
|
| 4160 |
]
|
| 4161 |
},
|
| 4162 |
"chem-molecular-generation": {
|
|
@@ -4174,7 +4216,8 @@
|
|
| 4174 |
2017,
|
| 4175 |
2016,
|
| 4176 |
2015,
|
| 4177 |
-
2014
|
|
|
|
| 4178 |
]
|
| 4179 |
},
|
| 4180 |
"chem-molecular-property-benchmark": {
|
|
@@ -4192,7 +4235,8 @@
|
|
| 4192 |
2017,
|
| 4193 |
2016,
|
| 4194 |
2015,
|
| 4195 |
-
2014
|
|
|
|
| 4196 |
]
|
| 4197 |
},
|
| 4198 |
"chem-molecular-spectroscopy": {
|
|
@@ -4210,7 +4254,8 @@
|
|
| 4210 |
2017,
|
| 4211 |
2016,
|
| 4212 |
2015,
|
| 4213 |
-
2014
|
|
|
|
| 4214 |
]
|
| 4215 |
},
|
| 4216 |
"chem-property-prediction": {
|
|
@@ -4228,7 +4273,8 @@
|
|
| 4228 |
2017,
|
| 4229 |
2016,
|
| 4230 |
2015,
|
| 4231 |
-
2014
|
|
|
|
| 4232 |
]
|
| 4233 |
},
|
| 4234 |
"chem-protein-ligand-docking": {
|
|
@@ -4246,7 +4292,8 @@
|
|
| 4246 |
2017,
|
| 4247 |
2016,
|
| 4248 |
2015,
|
| 4249 |
-
2014
|
|
|
|
| 4250 |
]
|
| 4251 |
},
|
| 4252 |
"chem-quantum-chemistry": {
|
|
@@ -4264,7 +4311,8 @@
|
|
| 4264 |
2017,
|
| 4265 |
2016,
|
| 4266 |
2015,
|
| 4267 |
-
2014
|
|
|
|
| 4268 |
]
|
| 4269 |
},
|
| 4270 |
"chem-reaction-conditions": {
|
|
@@ -4282,7 +4330,8 @@
|
|
| 4282 |
2017,
|
| 4283 |
2016,
|
| 4284 |
2015,
|
| 4285 |
-
2014
|
|
|
|
| 4286 |
]
|
| 4287 |
},
|
| 4288 |
"chem-reaction-prediction": {
|
|
@@ -4300,7 +4349,8 @@
|
|
| 4300 |
2017,
|
| 4301 |
2016,
|
| 4302 |
2015,
|
| 4303 |
-
2014
|
|
|
|
| 4304 |
]
|
| 4305 |
},
|
| 4306 |
"chem-reaction-yield": {
|
|
@@ -4318,7 +4368,8 @@
|
|
| 4318 |
2017,
|
| 4319 |
2016,
|
| 4320 |
2015,
|
| 4321 |
-
2014
|
|
|
|
| 4322 |
]
|
| 4323 |
},
|
| 4324 |
"chem-retrosynthesis": {
|
|
@@ -4336,7 +4387,8 @@
|
|
| 4336 |
2017,
|
| 4337 |
2016,
|
| 4338 |
2015,
|
| 4339 |
-
2014
|
|
|
|
| 4340 |
]
|
| 4341 |
},
|
| 4342 |
"chem-retrosynthesis-planning": {
|
|
@@ -4354,7 +4406,8 @@
|
|
| 4354 |
2017,
|
| 4355 |
2016,
|
| 4356 |
2015,
|
| 4357 |
-
2014
|
|
|
|
| 4358 |
]
|
| 4359 |
},
|
| 4360 |
"chem-virtual-screening": {
|
|
@@ -4372,7 +4425,8 @@
|
|
| 4372 |
2017,
|
| 4373 |
2016,
|
| 4374 |
2015,
|
| 4375 |
-
2014
|
|
|
|
| 4376 |
]
|
| 4377 |
},
|
| 4378 |
"efficiency.activation-checkpointing": {
|
|
@@ -4390,7 +4444,8 @@
|
|
| 4390 |
2017,
|
| 4391 |
2016,
|
| 4392 |
2015,
|
| 4393 |
-
2014
|
|
|
|
| 4394 |
]
|
| 4395 |
},
|
| 4396 |
"efficiency.automl": {
|
|
@@ -4408,7 +4463,8 @@
|
|
| 4408 |
2017,
|
| 4409 |
2016,
|
| 4410 |
2015,
|
| 4411 |
-
2014
|
|
|
|
| 4412 |
]
|
| 4413 |
},
|
| 4414 |
"efficiency.communication-efficient-training": {
|
|
@@ -4426,7 +4482,8 @@
|
|
| 4426 |
2017,
|
| 4427 |
2016,
|
| 4428 |
2015,
|
| 4429 |
-
2014
|
|
|
|
| 4430 |
]
|
| 4431 |
},
|
| 4432 |
"efficiency.compiler-optimization": {
|
|
@@ -4444,7 +4501,8 @@
|
|
| 4444 |
2017,
|
| 4445 |
2016,
|
| 4446 |
2015,
|
| 4447 |
-
2014
|
|
|
|
| 4448 |
]
|
| 4449 |
},
|
| 4450 |
"efficiency.distributed-training": {
|
|
@@ -4462,7 +4520,8 @@
|
|
| 4462 |
2017,
|
| 4463 |
2016,
|
| 4464 |
2015,
|
| 4465 |
-
2014
|
|
|
|
| 4466 |
]
|
| 4467 |
},
|
| 4468 |
"efficiency.edge-ai": {
|
|
@@ -4480,7 +4539,8 @@
|
|
| 4480 |
2017,
|
| 4481 |
2016,
|
| 4482 |
2015,
|
| 4483 |
-
2014
|
|
|
|
| 4484 |
]
|
| 4485 |
},
|
| 4486 |
"efficiency.energy-efficient-ml": {
|
|
@@ -4498,7 +4558,8 @@
|
|
| 4498 |
2017,
|
| 4499 |
2016,
|
| 4500 |
2015,
|
| 4501 |
-
2014
|
|
|
|
| 4502 |
]
|
| 4503 |
},
|
| 4504 |
"efficiency.flash-attention": {
|
|
@@ -4894,7 +4955,8 @@
|
|
| 4894 |
2017,
|
| 4895 |
2016,
|
| 4896 |
2015,
|
| 4897 |
-
2014
|
|
|
|
| 4898 |
]
|
| 4899 |
},
|
| 4900 |
"gap2026.climate-downscaling": {
|
|
@@ -4912,7 +4974,8 @@
|
|
| 4912 |
2017,
|
| 4913 |
2016,
|
| 4914 |
2015,
|
| 4915 |
-
2014
|
|
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|
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},
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"gap2026.clinical-ehr-representation": {
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"gap2026.clinical-risk-prediction": {
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"gap2026.clinical-survival-ml": {
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"gap2026.clinical-treatment-effect": {
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"gap2026.clinical-trial-matching": {
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"gap2026.econometrics-causal-forest": {
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"general.artificial-intelligence-description": {
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"general.arxiv": {
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"general.automated-machine-learning": {
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"general.bayesian-deep-learning": {
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"general.bayesian-optimization": {
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"general.clustering": {
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"general.continual-learning": {
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"geo.change-detection": {
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"geo.climate-mapping": {
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"geo.crop-monitoring": {
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"geo.earth-observation-models": {
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"geo.environmental-monitoring": {
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"geo.flood-mapping": {
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"geo.foundation-models-earth": {
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"graph.equivariant-networks": {
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"graph.geometric-learning": {
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"graph.gnn-description": {
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"graph.graph-anomaly-detection": {
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"graph.graph-contrastive-learning": {
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"llm-retrieval-augmented-generation": {
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"llm-text-to-speech": {
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"llm.agents": {
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"llm.ai-agent": {
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"llm.alignment": {
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"llm.diffusion": {
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"llm.diffusion-phrase": {
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"llm.evaluation": {
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"llm.finetuning": {
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"llm.foundation-models": {
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"materials-crystal-generation": {
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"materials-crystal-graph": {
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"materials-dft-prediction": {
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"materials-informatics": {
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"materials-perovskite": {
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"materials-polymer-informatics": {
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"medical.clinical-decision-support": {
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"medical.clinical-nlp": {
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"medical.clinical-trials": {
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"medical.dermatology": {
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"medical.diagnosis-prediction": {
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"medical.drug-response": {
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"medical.ecg": {
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"multimodal.3d-human-pose": {
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"multimodal.3d-object-detection": {
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"multimodal.3d-reconstruction": {
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"multimodal.audio-visual-learning": {
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"multimodal.embodied-world-models": {
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"multimodal.gaussian-splatting": {
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"multimodal.image-text": {
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"nlp-document-retrieval": {
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"nlp-entity-linking": {
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"nlp-natural-language-inference": {
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"nlp-query-understanding": {
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"nlp-sparse-retrieval": {
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"nlp-speech-language-modeling": {
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"nlp.coreference-resolution": {
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"nlp.cross-encoder-reranking": {
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"nlp.dense-retrieval": {
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"nlp.dependency-parsing": {
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"nlp.dialogue-systems": {
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"nlp.information-extraction": {
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"nlp.language-modeling": {
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"nlp.machine-translation": {
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"probable.adaptation-finetuning-readme": {
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"probable.classical-catboost-readme": {
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"probable.classical-gradient-boosting-readme": {
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"probable.classical-lightgbm-readme": {
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"probable.classical-xgboost-readme": {
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"probable.data-dataset-curation": {
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"probable.data-feature-selection": {
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"recall.case-outcome-prediction": {
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"recall.computational-linguistics": {
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"recall.computational-social-science": {
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"recall.digital-humanities-nlp": {
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"recall.disease-surveillance": {
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"recall.educational-recommendation": {
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"recall.epidemic-forecasting": {
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"recall26.class-imbalance": {
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"recall26.image-dehazing": {
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"recall26.image-denoising": {
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"recall26.long-tailed-recognition": {
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"recall26.low-light-enhancement": {
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"recall26.sign-language": {
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"recall26.visual-grounding": {
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"rl.continual": {
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"rl.deep-q-learning": {
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"rl.games": {
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"robotics.behavior-cloning": {
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"robotics.domain-randomization": {
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"robotics.imitation-learning": {
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"robotics.locomotion": {
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"science.astrophysics": {
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"science.climate-modeling": {
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"science.computational-mechanics": {
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"science.cosmology": {
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"science.differentiable-simulation": {
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"science.exoplanets": {
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"specialized.computational-pathology-ml": {
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"specialized.coreset-selection": {
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"specialized.curriculum-learning": {
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"specialized.data-centric-ai": {
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"specialized.data-shapley": {
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"specialized.dataset-distillation": {
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"timeseries.classification": {
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"timeseries.energy-forecasting": {
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2017,
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2016,
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2015,
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-
2014
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]
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},
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"timeseries.foundation-models": {
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@@ -12220,7 +12408,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
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"trust.ai-alignment": {
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@@ -12238,7 +12427,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
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"trust.ai-safety": {
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@@ -12256,7 +12446,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
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"trust.algorithmic-fairness": {
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@@ -12274,7 +12465,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
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"trust.algorithmic-recourse": {
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@@ -12292,7 +12484,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
|
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"trust.causal-discovery": {
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@@ -12310,7 +12503,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
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},
|
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"trust.causal-effect-estimation": {
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@@ -12742,7 +12936,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
|
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"vision.change-detection": {
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@@ -12760,7 +12955,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
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},
|
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"vision.depth-estimation": {
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@@ -12778,7 +12974,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
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},
|
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"vision.face-recognition": {
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@@ -12796,7 +12993,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
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},
|
| 12802 |
"vision.image-captioning": {
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@@ -12814,7 +13012,8 @@
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2017,
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2016,
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2015,
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-
2014
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]
|
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},
|
| 12820 |
"vision.image-classification": {
|
|
@@ -12832,7 +13031,8 @@
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2017,
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2016,
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2015,
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-
2014
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| 12836 |
]
|
| 12837 |
},
|
| 12838 |
"vision.image-diffusion": {
|
|
@@ -13223,5 +13423,5 @@
|
|
| 13223 |
"end": "2026-09-24",
|
| 13224 |
"search_policy_version": 2,
|
| 13225 |
"start_year": 2008,
|
| 13226 |
-
"updated_at": "2026-11-
|
| 13227 |
}
|
|
|
|
| 2440 |
2017,
|
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2016,
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2015,
|
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+
2014,
|
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+
2013
|
| 2445 |
]
|
| 2446 |
},
|
| 2447 |
"applied.algorithmic-trading": {
|
|
|
|
| 2459 |
2017,
|
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2016,
|
| 2461 |
2015,
|
| 2462 |
+
2014,
|
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+
2013
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]
|
| 2465 |
},
|
| 2466 |
"applied.causal-inference": {
|
|
|
|
| 2478 |
2017,
|
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2016,
|
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2015,
|
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+
2014,
|
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+
2013
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]
|
| 2484 |
},
|
| 2485 |
"applied.churn-prediction": {
|
|
|
|
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2017,
|
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2016,
|
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2015,
|
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+
2014,
|
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+
2013
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]
|
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},
|
| 2504 |
"applied.click-through-rate": {
|
|
|
|
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2017,
|
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2016,
|
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2015,
|
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+
2014,
|
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+
2013
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]
|
| 2522 |
},
|
| 2523 |
"applied.collaborative-filtering": {
|
|
|
|
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2017,
|
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2016,
|
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2015,
|
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+
2014,
|
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+
2013
|
| 2540 |
]
|
| 2541 |
},
|
| 2542 |
"applied.credit-scoring": {
|
|
|
|
| 3190 |
2017,
|
| 3191 |
2016,
|
| 3192 |
2015,
|
| 3193 |
+
2014,
|
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+
2013
|
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]
|
| 3196 |
},
|
| 3197 |
"audio-generation": {
|
|
|
|
| 3209 |
2017,
|
| 3210 |
2016,
|
| 3211 |
2015,
|
| 3212 |
+
2014,
|
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+
2013
|
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]
|
| 3215 |
},
|
| 3216 |
"audio-keyword-spotting": {
|
|
|
|
| 3228 |
2017,
|
| 3229 |
2016,
|
| 3230 |
2015,
|
| 3231 |
+
2014,
|
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+
2013
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]
|
| 3234 |
},
|
| 3235 |
"audio-music-generation": {
|
|
|
|
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2017,
|
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2016,
|
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2015,
|
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+
2014,
|
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+
2013
|
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]
|
| 3253 |
},
|
| 3254 |
"audio-music-information-retrieval": {
|
|
|
|
| 3266 |
2017,
|
| 3267 |
2016,
|
| 3268 |
2015,
|
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+
2014,
|
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+
2013
|
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]
|
| 3272 |
},
|
| 3273 |
"audio-music-recommendation": {
|
|
|
|
| 3285 |
2017,
|
| 3286 |
2016,
|
| 3287 |
2015,
|
| 3288 |
+
2014,
|
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+
2013
|
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]
|
| 3291 |
},
|
| 3292 |
"audio-music-source-separation": {
|
|
|
|
| 3304 |
2017,
|
| 3305 |
2016,
|
| 3306 |
2015,
|
| 3307 |
+
2014,
|
| 3308 |
+
2013
|
| 3309 |
]
|
| 3310 |
},
|
| 3311 |
"audio-music-transcription": {
|
|
|
|
| 3323 |
2017,
|
| 3324 |
2016,
|
| 3325 |
2015,
|
| 3326 |
+
2014,
|
| 3327 |
+
2013
|
| 3328 |
]
|
| 3329 |
},
|
| 3330 |
"audio-neural-codec": {
|
|
|
|
| 3342 |
2017,
|
| 3343 |
2016,
|
| 3344 |
2015,
|
| 3345 |
+
2014,
|
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+
2013
|
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]
|
| 3348 |
},
|
| 3349 |
"audio-sound-event-detection": {
|
|
|
|
| 3361 |
2017,
|
| 3362 |
2016,
|
| 3363 |
2015,
|
| 3364 |
+
2014,
|
| 3365 |
+
2013
|
| 3366 |
]
|
| 3367 |
},
|
| 3368 |
"audio-source-separation": {
|
|
|
|
| 3380 |
2017,
|
| 3381 |
2016,
|
| 3382 |
2015,
|
| 3383 |
+
2014,
|
| 3384 |
+
2013
|
| 3385 |
]
|
| 3386 |
},
|
| 3387 |
"audio-speaker-diarization": {
|
|
|
|
| 3399 |
2017,
|
| 3400 |
2016,
|
| 3401 |
2015,
|
| 3402 |
+
2014,
|
| 3403 |
+
2013
|
| 3404 |
]
|
| 3405 |
},
|
| 3406 |
"audio-speaker-verification": {
|
|
|
|
| 3418 |
2017,
|
| 3419 |
2016,
|
| 3420 |
2015,
|
| 3421 |
+
2014,
|
| 3422 |
+
2013
|
| 3423 |
]
|
| 3424 |
},
|
| 3425 |
"audio-speech-emotion-recognition": {
|
|
|
|
| 3437 |
2017,
|
| 3438 |
2016,
|
| 3439 |
2015,
|
| 3440 |
+
2014,
|
| 3441 |
+
2013
|
| 3442 |
]
|
| 3443 |
},
|
| 3444 |
"audio-speech-enhancement": {
|
|
|
|
| 3456 |
2017,
|
| 3457 |
2016,
|
| 3458 |
2015,
|
| 3459 |
+
2014,
|
| 3460 |
+
2013
|
| 3461 |
]
|
| 3462 |
},
|
| 3463 |
"audio-speech-synthesis": {
|
|
|
|
| 3475 |
2017,
|
| 3476 |
2016,
|
| 3477 |
2015,
|
| 3478 |
+
2014,
|
| 3479 |
+
2013
|
| 3480 |
]
|
| 3481 |
},
|
| 3482 |
"audio-speech-to-text": {
|
|
|
|
| 3494 |
2017,
|
| 3495 |
2016,
|
| 3496 |
2015,
|
| 3497 |
+
2014,
|
| 3498 |
+
2013
|
| 3499 |
]
|
| 3500 |
},
|
| 3501 |
"audio-speech-translation": {
|
|
|
|
| 3513 |
2017,
|
| 3514 |
2016,
|
| 3515 |
2015,
|
| 3516 |
+
2014,
|
| 3517 |
+
2013
|
| 3518 |
]
|
| 3519 |
},
|
| 3520 |
"audio-text-to-audio": {
|
|
|
|
| 3532 |
2017,
|
| 3533 |
2016,
|
| 3534 |
2015,
|
| 3535 |
+
2014,
|
| 3536 |
+
2013
|
| 3537 |
]
|
| 3538 |
},
|
| 3539 |
"audio-text-to-speech": {
|
|
|
|
| 3551 |
2017,
|
| 3552 |
2016,
|
| 3553 |
2015,
|
| 3554 |
+
2014,
|
| 3555 |
+
2013
|
| 3556 |
]
|
| 3557 |
},
|
| 3558 |
"audio-voice-conversion": {
|
|
|
|
| 3570 |
2017,
|
| 3571 |
2016,
|
| 3572 |
2015,
|
| 3573 |
+
2014,
|
| 3574 |
+
2013
|
| 3575 |
]
|
| 3576 |
},
|
| 3577 |
"bio.cell-atlas": {
|
|
|
|
| 3589 |
2017,
|
| 3590 |
2016,
|
| 3591 |
2015,
|
| 3592 |
+
2014,
|
| 3593 |
+
2013
|
| 3594 |
]
|
| 3595 |
},
|
| 3596 |
"bio.chemical-biology": {
|
|
|
|
| 3608 |
2017,
|
| 3609 |
2016,
|
| 3610 |
2015,
|
| 3611 |
+
2014,
|
| 3612 |
+
2013
|
| 3613 |
]
|
| 3614 |
},
|
| 3615 |
"bio.crispr": {
|
|
|
|
| 3627 |
2017,
|
| 3628 |
2016,
|
| 3629 |
2015,
|
| 3630 |
+
2014,
|
| 3631 |
+
2013
|
| 3632 |
]
|
| 3633 |
},
|
| 3634 |
"bio.dna-language-models": {
|
|
|
|
| 3646 |
2017,
|
| 3647 |
2016,
|
| 3648 |
2015,
|
| 3649 |
+
2014,
|
| 3650 |
+
2013
|
| 3651 |
]
|
| 3652 |
},
|
| 3653 |
"bio.gene-regulatory-networks": {
|
|
|
|
| 3665 |
2017,
|
| 3666 |
2016,
|
| 3667 |
2015,
|
| 3668 |
+
2014,
|
| 3669 |
+
2013
|
| 3670 |
]
|
| 3671 |
},
|
| 3672 |
"bio.genome-assembly": {
|
|
|
|
| 3684 |
2017,
|
| 3685 |
2016,
|
| 3686 |
2015,
|
| 3687 |
+
2014,
|
| 3688 |
+
2013
|
| 3689 |
]
|
| 3690 |
},
|
| 3691 |
"bio.genomics": {
|
|
|
|
| 3703 |
2017,
|
| 3704 |
2016,
|
| 3705 |
2015,
|
| 3706 |
+
2014,
|
| 3707 |
+
2013
|
| 3708 |
]
|
| 3709 |
},
|
| 3710 |
"bio.inverse-folding": {
|
|
|
|
| 4064 |
2017,
|
| 4065 |
2016,
|
| 4066 |
2015,
|
| 4067 |
+
2014,
|
| 4068 |
+
2013
|
| 4069 |
]
|
| 4070 |
},
|
| 4071 |
"chem-binding-affinity": {
|
|
|
|
| 4083 |
2017,
|
| 4084 |
2016,
|
| 4085 |
2015,
|
| 4086 |
+
2014,
|
| 4087 |
+
2013
|
| 4088 |
]
|
| 4089 |
},
|
| 4090 |
"chem-catalyst-discovery": {
|
|
|
|
| 4102 |
2017,
|
| 4103 |
2016,
|
| 4104 |
2015,
|
| 4105 |
+
2014,
|
| 4106 |
+
2013
|
| 4107 |
]
|
| 4108 |
},
|
| 4109 |
"chem-cheminformatics": {
|
|
|
|
| 4121 |
2017,
|
| 4122 |
2016,
|
| 4123 |
2015,
|
| 4124 |
+
2014,
|
| 4125 |
+
2013
|
| 4126 |
]
|
| 4127 |
},
|
| 4128 |
"chem-drug-discovery": {
|
|
|
|
| 4140 |
2017,
|
| 4141 |
2016,
|
| 4142 |
2015,
|
| 4143 |
+
2014,
|
| 4144 |
+
2013
|
| 4145 |
]
|
| 4146 |
},
|
| 4147 |
"chem-interatomic-potentials": {
|
|
|
|
| 4159 |
2017,
|
| 4160 |
2016,
|
| 4161 |
2015,
|
| 4162 |
+
2014,
|
| 4163 |
+
2013
|
| 4164 |
]
|
| 4165 |
},
|
| 4166 |
"chem-molecular-docking": {
|
|
|
|
| 4178 |
2017,
|
| 4179 |
2016,
|
| 4180 |
2015,
|
| 4181 |
+
2014,
|
| 4182 |
+
2013
|
| 4183 |
]
|
| 4184 |
},
|
| 4185 |
"chem-molecular-dynamics": {
|
|
|
|
| 4197 |
2017,
|
| 4198 |
2016,
|
| 4199 |
2015,
|
| 4200 |
+
2014,
|
| 4201 |
+
2013
|
| 4202 |
]
|
| 4203 |
},
|
| 4204 |
"chem-molecular-generation": {
|
|
|
|
| 4216 |
2017,
|
| 4217 |
2016,
|
| 4218 |
2015,
|
| 4219 |
+
2014,
|
| 4220 |
+
2013
|
| 4221 |
]
|
| 4222 |
},
|
| 4223 |
"chem-molecular-property-benchmark": {
|
|
|
|
| 4235 |
2017,
|
| 4236 |
2016,
|
| 4237 |
2015,
|
| 4238 |
+
2014,
|
| 4239 |
+
2013
|
| 4240 |
]
|
| 4241 |
},
|
| 4242 |
"chem-molecular-spectroscopy": {
|
|
|
|
| 4254 |
2017,
|
| 4255 |
2016,
|
| 4256 |
2015,
|
| 4257 |
+
2014,
|
| 4258 |
+
2013
|
| 4259 |
]
|
| 4260 |
},
|
| 4261 |
"chem-property-prediction": {
|
|
|
|
| 4273 |
2017,
|
| 4274 |
2016,
|
| 4275 |
2015,
|
| 4276 |
+
2014,
|
| 4277 |
+
2013
|
| 4278 |
]
|
| 4279 |
},
|
| 4280 |
"chem-protein-ligand-docking": {
|
|
|
|
| 4292 |
2017,
|
| 4293 |
2016,
|
| 4294 |
2015,
|
| 4295 |
+
2014,
|
| 4296 |
+
2013
|
| 4297 |
]
|
| 4298 |
},
|
| 4299 |
"chem-quantum-chemistry": {
|
|
|
|
| 4311 |
2017,
|
| 4312 |
2016,
|
| 4313 |
2015,
|
| 4314 |
+
2014,
|
| 4315 |
+
2013
|
| 4316 |
]
|
| 4317 |
},
|
| 4318 |
"chem-reaction-conditions": {
|
|
|
|
| 4330 |
2017,
|
| 4331 |
2016,
|
| 4332 |
2015,
|
| 4333 |
+
2014,
|
| 4334 |
+
2013
|
| 4335 |
]
|
| 4336 |
},
|
| 4337 |
"chem-reaction-prediction": {
|
|
|
|
| 4349 |
2017,
|
| 4350 |
2016,
|
| 4351 |
2015,
|
| 4352 |
+
2014,
|
| 4353 |
+
2013
|
| 4354 |
]
|
| 4355 |
},
|
| 4356 |
"chem-reaction-yield": {
|
|
|
|
| 4368 |
2017,
|
| 4369 |
2016,
|
| 4370 |
2015,
|
| 4371 |
+
2014,
|
| 4372 |
+
2013
|
| 4373 |
]
|
| 4374 |
},
|
| 4375 |
"chem-retrosynthesis": {
|
|
|
|
| 4387 |
2017,
|
| 4388 |
2016,
|
| 4389 |
2015,
|
| 4390 |
+
2014,
|
| 4391 |
+
2013
|
| 4392 |
]
|
| 4393 |
},
|
| 4394 |
"chem-retrosynthesis-planning": {
|
|
|
|
| 4406 |
2017,
|
| 4407 |
2016,
|
| 4408 |
2015,
|
| 4409 |
+
2014,
|
| 4410 |
+
2013
|
| 4411 |
]
|
| 4412 |
},
|
| 4413 |
"chem-virtual-screening": {
|
|
|
|
| 4425 |
2017,
|
| 4426 |
2016,
|
| 4427 |
2015,
|
| 4428 |
+
2014,
|
| 4429 |
+
2013
|
| 4430 |
]
|
| 4431 |
},
|
| 4432 |
"efficiency.activation-checkpointing": {
|
|
|
|
| 4444 |
2017,
|
| 4445 |
2016,
|
| 4446 |
2015,
|
| 4447 |
+
2014,
|
| 4448 |
+
2013
|
| 4449 |
]
|
| 4450 |
},
|
| 4451 |
"efficiency.automl": {
|
|
|
|
| 4463 |
2017,
|
| 4464 |
2016,
|
| 4465 |
2015,
|
| 4466 |
+
2014,
|
| 4467 |
+
2013
|
| 4468 |
]
|
| 4469 |
},
|
| 4470 |
"efficiency.communication-efficient-training": {
|
|
|
|
| 4482 |
2017,
|
| 4483 |
2016,
|
| 4484 |
2015,
|
| 4485 |
+
2014,
|
| 4486 |
+
2013
|
| 4487 |
]
|
| 4488 |
},
|
| 4489 |
"efficiency.compiler-optimization": {
|
|
|
|
| 4501 |
2017,
|
| 4502 |
2016,
|
| 4503 |
2015,
|
| 4504 |
+
2014,
|
| 4505 |
+
2013
|
| 4506 |
]
|
| 4507 |
},
|
| 4508 |
"efficiency.distributed-training": {
|
|
|
|
| 4520 |
2017,
|
| 4521 |
2016,
|
| 4522 |
2015,
|
| 4523 |
+
2014,
|
| 4524 |
+
2013
|
| 4525 |
]
|
| 4526 |
},
|
| 4527 |
"efficiency.edge-ai": {
|
|
|
|
| 4539 |
2017,
|
| 4540 |
2016,
|
| 4541 |
2015,
|
| 4542 |
+
2014,
|
| 4543 |
+
2013
|
| 4544 |
]
|
| 4545 |
},
|
| 4546 |
"efficiency.energy-efficient-ml": {
|
|
|
|
| 4558 |
2017,
|
| 4559 |
2016,
|
| 4560 |
2015,
|
| 4561 |
+
2014,
|
| 4562 |
+
2013
|
| 4563 |
]
|
| 4564 |
},
|
| 4565 |
"efficiency.flash-attention": {
|
|
|
|
| 4955 |
2017,
|
| 4956 |
2016,
|
| 4957 |
2015,
|
| 4958 |
+
2014,
|
| 4959 |
+
2013
|
| 4960 |
]
|
| 4961 |
},
|
| 4962 |
"gap2026.climate-downscaling": {
|
|
|
|
| 4974 |
2017,
|
| 4975 |
2016,
|
| 4976 |
2015,
|
| 4977 |
+
2014,
|
| 4978 |
+
2013
|
| 4979 |
]
|
| 4980 |
},
|
| 4981 |
"gap2026.clinical-ehr-representation": {
|
|
|
|
| 4993 |
2017,
|
| 4994 |
2016,
|
| 4995 |
2015,
|
| 4996 |
+
2014,
|
| 4997 |
+
2013
|
| 4998 |
]
|
| 4999 |
},
|
| 5000 |
"gap2026.clinical-risk-prediction": {
|
|
|
|
| 5012 |
2017,
|
| 5013 |
2016,
|
| 5014 |
2015,
|
| 5015 |
+
2014,
|
| 5016 |
+
2013
|
| 5017 |
]
|
| 5018 |
},
|
| 5019 |
"gap2026.clinical-survival-ml": {
|
|
|
|
| 5031 |
2017,
|
| 5032 |
2016,
|
| 5033 |
2015,
|
| 5034 |
+
2014,
|
| 5035 |
+
2013
|
| 5036 |
]
|
| 5037 |
},
|
| 5038 |
"gap2026.clinical-treatment-effect": {
|
|
|
|
| 5050 |
2017,
|
| 5051 |
2016,
|
| 5052 |
2015,
|
| 5053 |
+
2014,
|
| 5054 |
+
2013
|
| 5055 |
]
|
| 5056 |
},
|
| 5057 |
"gap2026.clinical-trial-matching": {
|
|
|
|
| 5069 |
2017,
|
| 5070 |
2016,
|
| 5071 |
2015,
|
| 5072 |
+
2014,
|
| 5073 |
+
2013
|
| 5074 |
]
|
| 5075 |
},
|
| 5076 |
"gap2026.econometrics-causal-forest": {
|
|
|
|
| 5484 |
2017,
|
| 5485 |
2016,
|
| 5486 |
2015,
|
| 5487 |
+
2014,
|
| 5488 |
+
2013
|
| 5489 |
]
|
| 5490 |
},
|
| 5491 |
"general.artificial-intelligence-description": {
|
|
|
|
| 5503 |
2017,
|
| 5504 |
2016,
|
| 5505 |
2015,
|
| 5506 |
+
2014,
|
| 5507 |
+
2013
|
| 5508 |
]
|
| 5509 |
},
|
| 5510 |
"general.arxiv": {
|
|
|
|
| 5522 |
2017,
|
| 5523 |
2016,
|
| 5524 |
2015,
|
| 5525 |
+
2014,
|
| 5526 |
+
2013
|
| 5527 |
]
|
| 5528 |
},
|
| 5529 |
"general.automated-machine-learning": {
|
|
|
|
| 5541 |
2017,
|
| 5542 |
2016,
|
| 5543 |
2015,
|
| 5544 |
+
2014,
|
| 5545 |
+
2013
|
| 5546 |
]
|
| 5547 |
},
|
| 5548 |
"general.bayesian-deep-learning": {
|
|
|
|
| 5560 |
2017,
|
| 5561 |
2016,
|
| 5562 |
2015,
|
| 5563 |
+
2014,
|
| 5564 |
+
2013
|
| 5565 |
]
|
| 5566 |
},
|
| 5567 |
"general.bayesian-optimization": {
|
|
|
|
| 5579 |
2017,
|
| 5580 |
2016,
|
| 5581 |
2015,
|
| 5582 |
+
2014,
|
| 5583 |
+
2013
|
| 5584 |
]
|
| 5585 |
},
|
| 5586 |
"general.clustering": {
|
|
|
|
| 5598 |
2017,
|
| 5599 |
2016,
|
| 5600 |
2015,
|
| 5601 |
+
2014,
|
| 5602 |
+
2013
|
| 5603 |
]
|
| 5604 |
},
|
| 5605 |
"general.continual-learning": {
|
|
|
|
| 6283 |
2017,
|
| 6284 |
2016,
|
| 6285 |
2015,
|
| 6286 |
+
2014,
|
| 6287 |
+
2013
|
| 6288 |
]
|
| 6289 |
},
|
| 6290 |
"geo.change-detection": {
|
|
|
|
| 6302 |
2017,
|
| 6303 |
2016,
|
| 6304 |
2015,
|
| 6305 |
+
2014,
|
| 6306 |
+
2013
|
| 6307 |
]
|
| 6308 |
},
|
| 6309 |
"geo.climate-mapping": {
|
|
|
|
| 6321 |
2017,
|
| 6322 |
2016,
|
| 6323 |
2015,
|
| 6324 |
+
2014,
|
| 6325 |
+
2013
|
| 6326 |
]
|
| 6327 |
},
|
| 6328 |
"geo.crop-monitoring": {
|
|
|
|
| 6340 |
2017,
|
| 6341 |
2016,
|
| 6342 |
2015,
|
| 6343 |
+
2014,
|
| 6344 |
+
2013
|
| 6345 |
]
|
| 6346 |
},
|
| 6347 |
"geo.earth-observation-models": {
|
|
|
|
| 6359 |
2017,
|
| 6360 |
2016,
|
| 6361 |
2015,
|
| 6362 |
+
2014,
|
| 6363 |
+
2013
|
| 6364 |
]
|
| 6365 |
},
|
| 6366 |
"geo.environmental-monitoring": {
|
|
|
|
| 6378 |
2017,
|
| 6379 |
2016,
|
| 6380 |
2015,
|
| 6381 |
+
2014,
|
| 6382 |
+
2013
|
| 6383 |
]
|
| 6384 |
},
|
| 6385 |
"geo.flood-mapping": {
|
|
|
|
| 6397 |
2017,
|
| 6398 |
2016,
|
| 6399 |
2015,
|
| 6400 |
+
2014,
|
| 6401 |
+
2013
|
| 6402 |
]
|
| 6403 |
},
|
| 6404 |
"geo.foundation-models-earth": {
|
|
|
|
| 6776 |
2017,
|
| 6777 |
2016,
|
| 6778 |
2015,
|
| 6779 |
+
2014,
|
| 6780 |
+
2013
|
| 6781 |
]
|
| 6782 |
},
|
| 6783 |
"graph.equivariant-networks": {
|
|
|
|
| 6795 |
2017,
|
| 6796 |
2016,
|
| 6797 |
2015,
|
| 6798 |
+
2014,
|
| 6799 |
+
2013
|
| 6800 |
]
|
| 6801 |
},
|
| 6802 |
"graph.geometric-learning": {
|
|
|
|
| 6814 |
2017,
|
| 6815 |
2016,
|
| 6816 |
2015,
|
| 6817 |
+
2014,
|
| 6818 |
+
2013
|
| 6819 |
]
|
| 6820 |
},
|
| 6821 |
"graph.gnn-description": {
|
|
|
|
| 6833 |
2017,
|
| 6834 |
2016,
|
| 6835 |
2015,
|
| 6836 |
+
2014,
|
| 6837 |
+
2013
|
| 6838 |
]
|
| 6839 |
},
|
| 6840 |
"graph.graph-anomaly-detection": {
|
|
|
|
| 6852 |
2017,
|
| 6853 |
2016,
|
| 6854 |
2015,
|
| 6855 |
+
2014,
|
| 6856 |
+
2013
|
| 6857 |
]
|
| 6858 |
},
|
| 6859 |
"graph.graph-classification": {
|
|
|
|
| 6871 |
2017,
|
| 6872 |
2016,
|
| 6873 |
2015,
|
| 6874 |
+
2014,
|
| 6875 |
+
2013
|
| 6876 |
]
|
| 6877 |
},
|
| 6878 |
"graph.graph-contrastive-learning": {
|
|
|
|
| 6890 |
2017,
|
| 6891 |
2016,
|
| 6892 |
2015,
|
| 6893 |
+
2014,
|
| 6894 |
+
2013
|
| 6895 |
]
|
| 6896 |
},
|
| 6897 |
"graph.graph-diffusion": {
|
|
|
|
| 7269 |
2017,
|
| 7270 |
2016,
|
| 7271 |
2015,
|
| 7272 |
+
2014,
|
| 7273 |
+
2013
|
| 7274 |
]
|
| 7275 |
},
|
| 7276 |
"llm-reasoning": {
|
|
|
|
| 7288 |
2017,
|
| 7289 |
2016,
|
| 7290 |
2015,
|
| 7291 |
+
2014,
|
| 7292 |
+
2013
|
| 7293 |
]
|
| 7294 |
},
|
| 7295 |
"llm-retrieval-augmented-generation": {
|
|
|
|
| 7307 |
2017,
|
| 7308 |
2016,
|
| 7309 |
2015,
|
| 7310 |
+
2014,
|
| 7311 |
+
2013
|
| 7312 |
]
|
| 7313 |
},
|
| 7314 |
"llm-text-to-speech": {
|
|
|
|
| 7326 |
2017,
|
| 7327 |
2016,
|
| 7328 |
2015,
|
| 7329 |
+
2014,
|
| 7330 |
+
2013
|
| 7331 |
]
|
| 7332 |
},
|
| 7333 |
"llm.agents": {
|
|
|
|
| 7345 |
2017,
|
| 7346 |
2016,
|
| 7347 |
2015,
|
| 7348 |
+
2014,
|
| 7349 |
+
2013
|
| 7350 |
]
|
| 7351 |
},
|
| 7352 |
"llm.ai-agent": {
|
|
|
|
| 7364 |
2017,
|
| 7365 |
2016,
|
| 7366 |
2015,
|
| 7367 |
+
2014,
|
| 7368 |
+
2013
|
| 7369 |
]
|
| 7370 |
},
|
| 7371 |
"llm.alignment": {
|
|
|
|
| 7383 |
2017,
|
| 7384 |
2016,
|
| 7385 |
2015,
|
| 7386 |
+
2014,
|
| 7387 |
+
2013
|
| 7388 |
]
|
| 7389 |
},
|
| 7390 |
"llm.diffusion": {
|
|
|
|
| 7402 |
2017,
|
| 7403 |
2016,
|
| 7404 |
2015,
|
| 7405 |
+
2014,
|
| 7406 |
+
2013
|
| 7407 |
]
|
| 7408 |
},
|
| 7409 |
"llm.diffusion-phrase": {
|
|
|
|
| 7421 |
2017,
|
| 7422 |
2016,
|
| 7423 |
2015,
|
| 7424 |
+
2014,
|
| 7425 |
+
2013
|
| 7426 |
]
|
| 7427 |
},
|
| 7428 |
"llm.evaluation": {
|
|
|
|
| 7440 |
2017,
|
| 7441 |
2016,
|
| 7442 |
2015,
|
| 7443 |
+
2014,
|
| 7444 |
+
2013
|
| 7445 |
]
|
| 7446 |
},
|
| 7447 |
"llm.finetuning": {
|
|
|
|
| 7459 |
2017,
|
| 7460 |
2016,
|
| 7461 |
2015,
|
| 7462 |
+
2014,
|
| 7463 |
+
2013
|
| 7464 |
]
|
| 7465 |
},
|
| 7466 |
"llm.foundation-models": {
|
|
|
|
| 7766 |
2017,
|
| 7767 |
2016,
|
| 7768 |
2015,
|
| 7769 |
+
2014,
|
| 7770 |
+
2013
|
| 7771 |
]
|
| 7772 |
},
|
| 7773 |
"materials-crystal-generation": {
|
|
|
|
| 7785 |
2017,
|
| 7786 |
2016,
|
| 7787 |
2015,
|
| 7788 |
+
2014,
|
| 7789 |
+
2013
|
| 7790 |
]
|
| 7791 |
},
|
| 7792 |
"materials-crystal-graph": {
|
|
|
|
| 7804 |
2017,
|
| 7805 |
2016,
|
| 7806 |
2015,
|
| 7807 |
+
2014,
|
| 7808 |
+
2013
|
| 7809 |
]
|
| 7810 |
},
|
| 7811 |
"materials-dft-prediction": {
|
|
|
|
| 7823 |
2017,
|
| 7824 |
2016,
|
| 7825 |
2015,
|
| 7826 |
+
2014,
|
| 7827 |
+
2013
|
| 7828 |
]
|
| 7829 |
},
|
| 7830 |
"materials-informatics": {
|
|
|
|
| 7842 |
2017,
|
| 7843 |
2016,
|
| 7844 |
2015,
|
| 7845 |
+
2014,
|
| 7846 |
+
2013
|
| 7847 |
]
|
| 7848 |
},
|
| 7849 |
"materials-perovskite": {
|
|
|
|
| 7861 |
2017,
|
| 7862 |
2016,
|
| 7863 |
2015,
|
| 7864 |
+
2014,
|
| 7865 |
+
2013
|
| 7866 |
]
|
| 7867 |
},
|
| 7868 |
"materials-polymer-informatics": {
|
|
|
|
| 7880 |
2017,
|
| 7881 |
2016,
|
| 7882 |
2015,
|
| 7883 |
+
2014,
|
| 7884 |
+
2013
|
| 7885 |
]
|
| 7886 |
},
|
| 7887 |
"medical.clinical-decision-support": {
|
|
|
|
| 7899 |
2017,
|
| 7900 |
2016,
|
| 7901 |
2015,
|
| 7902 |
+
2014,
|
| 7903 |
+
2013
|
| 7904 |
]
|
| 7905 |
},
|
| 7906 |
"medical.clinical-nlp": {
|
|
|
|
| 7918 |
2017,
|
| 7919 |
2016,
|
| 7920 |
2015,
|
| 7921 |
+
2014,
|
| 7922 |
+
2013
|
| 7923 |
]
|
| 7924 |
},
|
| 7925 |
"medical.clinical-time-series": {
|
|
|
|
| 7937 |
2017,
|
| 7938 |
2016,
|
| 7939 |
2015,
|
| 7940 |
+
2014,
|
| 7941 |
+
2013
|
| 7942 |
]
|
| 7943 |
},
|
| 7944 |
"medical.clinical-trials": {
|
|
|
|
| 7956 |
2017,
|
| 7957 |
2016,
|
| 7958 |
2015,
|
| 7959 |
+
2014,
|
| 7960 |
+
2013
|
| 7961 |
]
|
| 7962 |
},
|
| 7963 |
"medical.dermatology": {
|
|
|
|
| 7975 |
2017,
|
| 7976 |
2016,
|
| 7977 |
2015,
|
| 7978 |
+
2014,
|
| 7979 |
+
2013
|
| 7980 |
]
|
| 7981 |
},
|
| 7982 |
"medical.diagnosis-prediction": {
|
|
|
|
| 7994 |
2017,
|
| 7995 |
2016,
|
| 7996 |
2015,
|
| 7997 |
+
2014,
|
| 7998 |
+
2013
|
| 7999 |
]
|
| 8000 |
},
|
| 8001 |
"medical.drug-response": {
|
|
|
|
| 8013 |
2017,
|
| 8014 |
2016,
|
| 8015 |
2015,
|
| 8016 |
+
2014,
|
| 8017 |
+
2013
|
| 8018 |
]
|
| 8019 |
},
|
| 8020 |
"medical.ecg": {
|
|
|
|
| 8392 |
2017,
|
| 8393 |
2016,
|
| 8394 |
2015,
|
| 8395 |
+
2014,
|
| 8396 |
+
2013
|
| 8397 |
]
|
| 8398 |
},
|
| 8399 |
"multimodal.3d-human-pose": {
|
|
|
|
| 8411 |
2017,
|
| 8412 |
2016,
|
| 8413 |
2015,
|
| 8414 |
+
2014,
|
| 8415 |
+
2013
|
| 8416 |
]
|
| 8417 |
},
|
| 8418 |
"multimodal.3d-object-detection": {
|
|
|
|
| 8430 |
2017,
|
| 8431 |
2016,
|
| 8432 |
2015,
|
| 8433 |
+
2014,
|
| 8434 |
+
2013
|
| 8435 |
]
|
| 8436 |
},
|
| 8437 |
"multimodal.3d-reconstruction": {
|
|
|
|
| 8449 |
2017,
|
| 8450 |
2016,
|
| 8451 |
2015,
|
| 8452 |
+
2014,
|
| 8453 |
+
2013
|
| 8454 |
]
|
| 8455 |
},
|
| 8456 |
"multimodal.audio-visual-learning": {
|
|
|
|
| 8468 |
2017,
|
| 8469 |
2016,
|
| 8470 |
2015,
|
| 8471 |
+
2014,
|
| 8472 |
+
2013
|
| 8473 |
]
|
| 8474 |
},
|
| 8475 |
"multimodal.embodied-world-models": {
|
|
|
|
| 8487 |
2017,
|
| 8488 |
2016,
|
| 8489 |
2015,
|
| 8490 |
+
2014,
|
| 8491 |
+
2013
|
| 8492 |
]
|
| 8493 |
},
|
| 8494 |
"multimodal.gaussian-splatting": {
|
|
|
|
| 8506 |
2017,
|
| 8507 |
2016,
|
| 8508 |
2015,
|
| 8509 |
+
2014,
|
| 8510 |
+
2013
|
| 8511 |
]
|
| 8512 |
},
|
| 8513 |
"multimodal.image-text": {
|
|
|
|
| 8849 |
2017,
|
| 8850 |
2016,
|
| 8851 |
2015,
|
| 8852 |
+
2014,
|
| 8853 |
+
2013
|
| 8854 |
]
|
| 8855 |
},
|
| 8856 |
"nlp-document-retrieval": {
|
|
|
|
| 8868 |
2017,
|
| 8869 |
2016,
|
| 8870 |
2015,
|
| 8871 |
+
2014,
|
| 8872 |
+
2013
|
| 8873 |
]
|
| 8874 |
},
|
| 8875 |
"nlp-entity-linking": {
|
|
|
|
| 8887 |
2017,
|
| 8888 |
2016,
|
| 8889 |
2015,
|
| 8890 |
+
2014,
|
| 8891 |
+
2013
|
| 8892 |
]
|
| 8893 |
},
|
| 8894 |
"nlp-natural-language-inference": {
|
|
|
|
| 8906 |
2017,
|
| 8907 |
2016,
|
| 8908 |
2015,
|
| 8909 |
+
2014,
|
| 8910 |
+
2013
|
| 8911 |
]
|
| 8912 |
},
|
| 8913 |
"nlp-query-understanding": {
|
|
|
|
| 8925 |
2017,
|
| 8926 |
2016,
|
| 8927 |
2015,
|
| 8928 |
+
2014,
|
| 8929 |
+
2013
|
| 8930 |
]
|
| 8931 |
},
|
| 8932 |
"nlp-sparse-retrieval": {
|
|
|
|
| 8944 |
2017,
|
| 8945 |
2016,
|
| 8946 |
2015,
|
| 8947 |
+
2014,
|
| 8948 |
+
2013
|
| 8949 |
]
|
| 8950 |
},
|
| 8951 |
"nlp-speech-language-modeling": {
|
|
|
|
| 8963 |
2017,
|
| 8964 |
2016,
|
| 8965 |
2015,
|
| 8966 |
+
2014,
|
| 8967 |
+
2013
|
| 8968 |
]
|
| 8969 |
},
|
| 8970 |
"nlp.coreference-resolution": {
|
|
|
|
| 8982 |
2017,
|
| 8983 |
2016,
|
| 8984 |
2015,
|
| 8985 |
+
2014,
|
| 8986 |
+
2013
|
| 8987 |
]
|
| 8988 |
},
|
| 8989 |
"nlp.cross-encoder-reranking": {
|
|
|
|
| 9001 |
2017,
|
| 9002 |
2016,
|
| 9003 |
2015,
|
| 9004 |
+
2014,
|
| 9005 |
+
2013
|
| 9006 |
]
|
| 9007 |
},
|
| 9008 |
"nlp.dense-retrieval": {
|
|
|
|
| 9020 |
2017,
|
| 9021 |
2016,
|
| 9022 |
2015,
|
| 9023 |
+
2014,
|
| 9024 |
+
2013
|
| 9025 |
]
|
| 9026 |
},
|
| 9027 |
"nlp.dependency-parsing": {
|
|
|
|
| 9039 |
2017,
|
| 9040 |
2016,
|
| 9041 |
2015,
|
| 9042 |
+
2014,
|
| 9043 |
+
2013
|
| 9044 |
]
|
| 9045 |
},
|
| 9046 |
"nlp.dialogue-systems": {
|
|
|
|
| 9058 |
2017,
|
| 9059 |
2016,
|
| 9060 |
2015,
|
| 9061 |
+
2014,
|
| 9062 |
+
2013
|
| 9063 |
]
|
| 9064 |
},
|
| 9065 |
"nlp.information-extraction": {
|
|
|
|
| 9077 |
2017,
|
| 9078 |
2016,
|
| 9079 |
2015,
|
| 9080 |
+
2014,
|
| 9081 |
+
2013
|
| 9082 |
]
|
| 9083 |
},
|
| 9084 |
"nlp.language-modeling": {
|
|
|
|
| 9096 |
2017,
|
| 9097 |
2016,
|
| 9098 |
2015,
|
| 9099 |
+
2014,
|
| 9100 |
+
2013
|
| 9101 |
]
|
| 9102 |
},
|
| 9103 |
"nlp.machine-translation": {
|
|
|
|
| 9331 |
2017,
|
| 9332 |
2016,
|
| 9333 |
2015,
|
| 9334 |
+
2014,
|
| 9335 |
+
2013
|
| 9336 |
]
|
| 9337 |
},
|
| 9338 |
"probable.adaptation-finetuning-readme": {
|
|
|
|
| 9350 |
2017,
|
| 9351 |
2016,
|
| 9352 |
2015,
|
| 9353 |
+
2014,
|
| 9354 |
+
2013
|
| 9355 |
]
|
| 9356 |
},
|
| 9357 |
"probable.classical-catboost-readme": {
|
|
|
|
| 9369 |
2017,
|
| 9370 |
2016,
|
| 9371 |
2015,
|
| 9372 |
+
2014,
|
| 9373 |
+
2013
|
| 9374 |
]
|
| 9375 |
},
|
| 9376 |
"probable.classical-gradient-boosting-readme": {
|
|
|
|
| 9388 |
2017,
|
| 9389 |
2016,
|
| 9390 |
2015,
|
| 9391 |
+
2014,
|
| 9392 |
+
2013
|
| 9393 |
]
|
| 9394 |
},
|
| 9395 |
"probable.classical-lightgbm-readme": {
|
|
|
|
| 9407 |
2017,
|
| 9408 |
2016,
|
| 9409 |
2015,
|
| 9410 |
+
2014,
|
| 9411 |
+
2013
|
| 9412 |
]
|
| 9413 |
},
|
| 9414 |
"probable.classical-xgboost-readme": {
|
|
|
|
| 9426 |
2017,
|
| 9427 |
2016,
|
| 9428 |
2015,
|
| 9429 |
+
2014,
|
| 9430 |
+
2013
|
| 9431 |
]
|
| 9432 |
},
|
| 9433 |
"probable.data-dataset-curation": {
|
|
|
|
| 9445 |
2017,
|
| 9446 |
2016,
|
| 9447 |
2015,
|
| 9448 |
+
2014,
|
| 9449 |
+
2013
|
| 9450 |
]
|
| 9451 |
},
|
| 9452 |
"probable.data-feature-selection": {
|
|
|
|
| 9626 |
2017,
|
| 9627 |
2016,
|
| 9628 |
2015,
|
| 9629 |
+
2014,
|
| 9630 |
+
2013
|
| 9631 |
]
|
| 9632 |
},
|
| 9633 |
"recall.case-outcome-prediction": {
|
|
|
|
| 9645 |
2017,
|
| 9646 |
2016,
|
| 9647 |
2015,
|
| 9648 |
+
2014,
|
| 9649 |
+
2013
|
| 9650 |
]
|
| 9651 |
},
|
| 9652 |
"recall.computational-linguistics": {
|
|
|
|
| 9664 |
2017,
|
| 9665 |
2016,
|
| 9666 |
2015,
|
| 9667 |
+
2014,
|
| 9668 |
+
2013
|
| 9669 |
]
|
| 9670 |
},
|
| 9671 |
"recall.computational-social-science": {
|
|
|
|
| 9683 |
2017,
|
| 9684 |
2016,
|
| 9685 |
2015,
|
| 9686 |
+
2014,
|
| 9687 |
+
2013
|
| 9688 |
]
|
| 9689 |
},
|
| 9690 |
"recall.digital-humanities-nlp": {
|
|
|
|
| 9702 |
2017,
|
| 9703 |
2016,
|
| 9704 |
2015,
|
| 9705 |
+
2014,
|
| 9706 |
+
2013
|
| 9707 |
]
|
| 9708 |
},
|
| 9709 |
"recall.disease-surveillance": {
|
|
|
|
| 9721 |
2017,
|
| 9722 |
2016,
|
| 9723 |
2015,
|
| 9724 |
+
2014,
|
| 9725 |
+
2013
|
| 9726 |
]
|
| 9727 |
},
|
| 9728 |
"recall.educational-recommendation": {
|
|
|
|
| 9740 |
2017,
|
| 9741 |
2016,
|
| 9742 |
2015,
|
| 9743 |
+
2014,
|
| 9744 |
+
2013
|
| 9745 |
]
|
| 9746 |
},
|
| 9747 |
"recall.epidemic-forecasting": {
|
|
|
|
| 10209 |
2017,
|
| 10210 |
2016,
|
| 10211 |
2015,
|
| 10212 |
+
2014,
|
| 10213 |
+
2013
|
| 10214 |
]
|
| 10215 |
},
|
| 10216 |
"recall26.class-imbalance": {
|
|
|
|
| 10228 |
2017,
|
| 10229 |
2016,
|
| 10230 |
2015,
|
| 10231 |
+
2014,
|
| 10232 |
+
2013
|
| 10233 |
]
|
| 10234 |
},
|
| 10235 |
"recall26.image-dehazing": {
|
|
|
|
| 10247 |
2017,
|
| 10248 |
2016,
|
| 10249 |
2015,
|
| 10250 |
+
2014,
|
| 10251 |
+
2013
|
| 10252 |
]
|
| 10253 |
},
|
| 10254 |
"recall26.image-denoising": {
|
|
|
|
| 10266 |
2017,
|
| 10267 |
2016,
|
| 10268 |
2015,
|
| 10269 |
+
2014,
|
| 10270 |
+
2013
|
| 10271 |
]
|
| 10272 |
},
|
| 10273 |
"recall26.long-tailed-recognition": {
|
|
|
|
| 10285 |
2017,
|
| 10286 |
2016,
|
| 10287 |
2015,
|
| 10288 |
+
2014,
|
| 10289 |
+
2013
|
| 10290 |
]
|
| 10291 |
},
|
| 10292 |
"recall26.low-light-enhancement": {
|
|
|
|
| 10304 |
2017,
|
| 10305 |
2016,
|
| 10306 |
2015,
|
| 10307 |
+
2014,
|
| 10308 |
+
2013
|
| 10309 |
]
|
| 10310 |
},
|
| 10311 |
"recall26.sign-language": {
|
|
|
|
| 10323 |
2017,
|
| 10324 |
2016,
|
| 10325 |
2015,
|
| 10326 |
+
2014,
|
| 10327 |
+
2013
|
| 10328 |
]
|
| 10329 |
},
|
| 10330 |
"recall26.visual-grounding": {
|
|
|
|
| 10360 |
2017,
|
| 10361 |
2016,
|
| 10362 |
2015,
|
| 10363 |
+
2014,
|
| 10364 |
+
2013
|
| 10365 |
]
|
| 10366 |
},
|
| 10367 |
"rl.continual": {
|
|
|
|
| 10379 |
2017,
|
| 10380 |
2016,
|
| 10381 |
2015,
|
| 10382 |
+
2014,
|
| 10383 |
+
2013
|
| 10384 |
]
|
| 10385 |
},
|
| 10386 |
"rl.core": {
|
|
|
|
| 10398 |
2017,
|
| 10399 |
2016,
|
| 10400 |
2015,
|
| 10401 |
+
2014,
|
| 10402 |
+
2013
|
| 10403 |
]
|
| 10404 |
},
|
| 10405 |
"rl.deep": {
|
|
|
|
| 10417 |
2017,
|
| 10418 |
2016,
|
| 10419 |
2015,
|
| 10420 |
+
2014,
|
| 10421 |
+
2013
|
| 10422 |
]
|
| 10423 |
},
|
| 10424 |
"rl.deep-q-learning": {
|
|
|
|
| 10436 |
2017,
|
| 10437 |
2016,
|
| 10438 |
2015,
|
| 10439 |
+
2014,
|
| 10440 |
+
2013
|
| 10441 |
]
|
| 10442 |
},
|
| 10443 |
"rl.distributional": {
|
|
|
|
| 10455 |
2017,
|
| 10456 |
2016,
|
| 10457 |
2015,
|
| 10458 |
+
2014,
|
| 10459 |
+
2013
|
| 10460 |
]
|
| 10461 |
},
|
| 10462 |
"rl.exploration": {
|
|
|
|
| 10474 |
2017,
|
| 10475 |
2016,
|
| 10476 |
2015,
|
| 10477 |
+
2014,
|
| 10478 |
+
2013
|
| 10479 |
]
|
| 10480 |
},
|
| 10481 |
"rl.games": {
|
|
|
|
| 10763 |
2017,
|
| 10764 |
2016,
|
| 10765 |
2015,
|
| 10766 |
+
2014,
|
| 10767 |
+
2013
|
| 10768 |
]
|
| 10769 |
},
|
| 10770 |
"robotics.behavior-cloning": {
|
|
|
|
| 10782 |
2017,
|
| 10783 |
2016,
|
| 10784 |
2015,
|
| 10785 |
+
2014,
|
| 10786 |
+
2013
|
| 10787 |
]
|
| 10788 |
},
|
| 10789 |
"robotics.diffusion-policy": {
|
|
|
|
| 10801 |
2017,
|
| 10802 |
2016,
|
| 10803 |
2015,
|
| 10804 |
+
2014,
|
| 10805 |
+
2013
|
| 10806 |
]
|
| 10807 |
},
|
| 10808 |
"robotics.domain-randomization": {
|
|
|
|
| 10820 |
2017,
|
| 10821 |
2016,
|
| 10822 |
2015,
|
| 10823 |
+
2014,
|
| 10824 |
+
2013
|
| 10825 |
]
|
| 10826 |
},
|
| 10827 |
"robotics.embodied-ai": {
|
|
|
|
| 10839 |
2017,
|
| 10840 |
2016,
|
| 10841 |
2015,
|
| 10842 |
+
2014,
|
| 10843 |
+
2013
|
| 10844 |
]
|
| 10845 |
},
|
| 10846 |
"robotics.grasping": {
|
|
|
|
| 10858 |
2017,
|
| 10859 |
2016,
|
| 10860 |
2015,
|
| 10861 |
+
2014,
|
| 10862 |
+
2013
|
| 10863 |
]
|
| 10864 |
},
|
| 10865 |
"robotics.imitation-learning": {
|
|
|
|
| 10877 |
2017,
|
| 10878 |
2016,
|
| 10879 |
2015,
|
| 10880 |
+
2014,
|
| 10881 |
+
2013
|
| 10882 |
]
|
| 10883 |
},
|
| 10884 |
"robotics.locomotion": {
|
|
|
|
| 11184 |
2017,
|
| 11185 |
2016,
|
| 11186 |
2015,
|
| 11187 |
+
2014,
|
| 11188 |
+
2013
|
| 11189 |
]
|
| 11190 |
},
|
| 11191 |
"science.astrophysics": {
|
|
|
|
| 11203 |
2017,
|
| 11204 |
2016,
|
| 11205 |
2015,
|
| 11206 |
+
2014,
|
| 11207 |
+
2013
|
| 11208 |
]
|
| 11209 |
},
|
| 11210 |
"science.climate-modeling": {
|
|
|
|
| 11222 |
2017,
|
| 11223 |
2016,
|
| 11224 |
2015,
|
| 11225 |
+
2014,
|
| 11226 |
+
2013
|
| 11227 |
]
|
| 11228 |
},
|
| 11229 |
"science.computational-mechanics": {
|
|
|
|
| 11241 |
2017,
|
| 11242 |
2016,
|
| 11243 |
2015,
|
| 11244 |
+
2014,
|
| 11245 |
+
2013
|
| 11246 |
]
|
| 11247 |
},
|
| 11248 |
"science.cosmology": {
|
|
|
|
| 11260 |
2017,
|
| 11261 |
2016,
|
| 11262 |
2015,
|
| 11263 |
+
2014,
|
| 11264 |
+
2013
|
| 11265 |
]
|
| 11266 |
},
|
| 11267 |
"science.differentiable-simulation": {
|
|
|
|
| 11279 |
2017,
|
| 11280 |
2016,
|
| 11281 |
2015,
|
| 11282 |
+
2014,
|
| 11283 |
+
2013
|
| 11284 |
]
|
| 11285 |
},
|
| 11286 |
"science.exoplanets": {
|
|
|
|
| 11658 |
2017,
|
| 11659 |
2016,
|
| 11660 |
2015,
|
| 11661 |
+
2014,
|
| 11662 |
+
2013
|
| 11663 |
]
|
| 11664 |
},
|
| 11665 |
"specialized.computational-pathology-ml": {
|
|
|
|
| 11677 |
2017,
|
| 11678 |
2016,
|
| 11679 |
2015,
|
| 11680 |
+
2014,
|
| 11681 |
+
2013
|
| 11682 |
]
|
| 11683 |
},
|
| 11684 |
"specialized.coreset-selection": {
|
|
|
|
| 11696 |
2017,
|
| 11697 |
2016,
|
| 11698 |
2015,
|
| 11699 |
+
2014,
|
| 11700 |
+
2013
|
| 11701 |
]
|
| 11702 |
},
|
| 11703 |
"specialized.curriculum-learning": {
|
|
|
|
| 11715 |
2017,
|
| 11716 |
2016,
|
| 11717 |
2015,
|
| 11718 |
+
2014,
|
| 11719 |
+
2013
|
| 11720 |
]
|
| 11721 |
},
|
| 11722 |
"specialized.data-centric-ai": {
|
|
|
|
| 11734 |
2017,
|
| 11735 |
2016,
|
| 11736 |
2015,
|
| 11737 |
+
2014,
|
| 11738 |
+
2013
|
| 11739 |
]
|
| 11740 |
},
|
| 11741 |
"specialized.data-shapley": {
|
|
|
|
| 11753 |
2017,
|
| 11754 |
2016,
|
| 11755 |
2015,
|
| 11756 |
+
2014,
|
| 11757 |
+
2013
|
| 11758 |
]
|
| 11759 |
},
|
| 11760 |
"specialized.dataset-distillation": {
|
|
|
|
| 11934 |
2017,
|
| 11935 |
2016,
|
| 11936 |
2015,
|
| 11937 |
+
2014,
|
| 11938 |
+
2013
|
| 11939 |
]
|
| 11940 |
},
|
| 11941 |
"timeseries.classification": {
|
|
|
|
| 11953 |
2017,
|
| 11954 |
2016,
|
| 11955 |
2015,
|
| 11956 |
+
2014,
|
| 11957 |
+
2013
|
| 11958 |
]
|
| 11959 |
},
|
| 11960 |
"timeseries.clustering": {
|
|
|
|
| 11972 |
2017,
|
| 11973 |
2016,
|
| 11974 |
2015,
|
| 11975 |
+
2014,
|
| 11976 |
+
2013
|
| 11977 |
]
|
| 11978 |
},
|
| 11979 |
"timeseries.energy-forecasting": {
|
|
|
|
| 11991 |
2017,
|
| 11992 |
2016,
|
| 11993 |
2015,
|
| 11994 |
+
2014,
|
| 11995 |
+
2013
|
| 11996 |
]
|
| 11997 |
},
|
| 11998 |
"timeseries.event-forecasting": {
|
|
|
|
| 12010 |
2017,
|
| 12011 |
2016,
|
| 12012 |
2015,
|
| 12013 |
+
2014,
|
| 12014 |
+
2013
|
| 12015 |
]
|
| 12016 |
},
|
| 12017 |
"timeseries.forecasting": {
|
|
|
|
| 12029 |
2017,
|
| 12030 |
2016,
|
| 12031 |
2015,
|
| 12032 |
+
2014,
|
| 12033 |
+
2013
|
| 12034 |
]
|
| 12035 |
},
|
| 12036 |
"timeseries.foundation-models": {
|
|
|
|
| 12408 |
2017,
|
| 12409 |
2016,
|
| 12410 |
2015,
|
| 12411 |
+
2014,
|
| 12412 |
+
2013
|
| 12413 |
]
|
| 12414 |
},
|
| 12415 |
"trust.ai-alignment": {
|
|
|
|
| 12427 |
2017,
|
| 12428 |
2016,
|
| 12429 |
2015,
|
| 12430 |
+
2014,
|
| 12431 |
+
2013
|
| 12432 |
]
|
| 12433 |
},
|
| 12434 |
"trust.ai-safety": {
|
|
|
|
| 12446 |
2017,
|
| 12447 |
2016,
|
| 12448 |
2015,
|
| 12449 |
+
2014,
|
| 12450 |
+
2013
|
| 12451 |
]
|
| 12452 |
},
|
| 12453 |
"trust.algorithmic-fairness": {
|
|
|
|
| 12465 |
2017,
|
| 12466 |
2016,
|
| 12467 |
2015,
|
| 12468 |
+
2014,
|
| 12469 |
+
2013
|
| 12470 |
]
|
| 12471 |
},
|
| 12472 |
"trust.algorithmic-recourse": {
|
|
|
|
| 12484 |
2017,
|
| 12485 |
2016,
|
| 12486 |
2015,
|
| 12487 |
+
2014,
|
| 12488 |
+
2013
|
| 12489 |
]
|
| 12490 |
},
|
| 12491 |
"trust.causal-discovery": {
|
|
|
|
| 12503 |
2017,
|
| 12504 |
2016,
|
| 12505 |
2015,
|
| 12506 |
+
2014,
|
| 12507 |
+
2013
|
| 12508 |
]
|
| 12509 |
},
|
| 12510 |
"trust.causal-effect-estimation": {
|
|
|
|
| 12936 |
2017,
|
| 12937 |
2016,
|
| 12938 |
2015,
|
| 12939 |
+
2014,
|
| 12940 |
+
2013
|
| 12941 |
]
|
| 12942 |
},
|
| 12943 |
"vision.change-detection": {
|
|
|
|
| 12955 |
2017,
|
| 12956 |
2016,
|
| 12957 |
2015,
|
| 12958 |
+
2014,
|
| 12959 |
+
2013
|
| 12960 |
]
|
| 12961 |
},
|
| 12962 |
"vision.depth-estimation": {
|
|
|
|
| 12974 |
2017,
|
| 12975 |
2016,
|
| 12976 |
2015,
|
| 12977 |
+
2014,
|
| 12978 |
+
2013
|
| 12979 |
]
|
| 12980 |
},
|
| 12981 |
"vision.face-recognition": {
|
|
|
|
| 12993 |
2017,
|
| 12994 |
2016,
|
| 12995 |
2015,
|
| 12996 |
+
2014,
|
| 12997 |
+
2013
|
| 12998 |
]
|
| 12999 |
},
|
| 13000 |
"vision.image-captioning": {
|
|
|
|
| 13012 |
2017,
|
| 13013 |
2016,
|
| 13014 |
2015,
|
| 13015 |
+
2014,
|
| 13016 |
+
2013
|
| 13017 |
]
|
| 13018 |
},
|
| 13019 |
"vision.image-classification": {
|
|
|
|
| 13031 |
2017,
|
| 13032 |
2016,
|
| 13033 |
2015,
|
| 13034 |
+
2014,
|
| 13035 |
+
2013
|
| 13036 |
]
|
| 13037 |
},
|
| 13038 |
"vision.image-diffusion": {
|
|
|
|
| 13423 |
"end": "2026-09-24",
|
| 13424 |
"search_policy_version": 2,
|
| 13425 |
"start_year": 2008,
|
| 13426 |
+
"updated_at": "2026-11-03T18:08:58Z"
|
| 13427 |
}
|