Add GitHub ML run 20260930T155803000000Z-c6348f52
Browse files
coverage/20260930T155803000000Z-c6348f52.json
ADDED
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@@ -0,0 +1,1104 @@
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data/observations/2026/09/30/20260930T155803000000Z-c6348f52.jsonl
ADDED
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state/sample.json
CHANGED
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@@ -1,2352 +1,7 @@
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| 26 |
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| 30 |
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| 32 |
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| 38 |
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| 58 |
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| 69 |
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| 70 |
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| 71 |
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| 83 |
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| 84 |
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| 86 |
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| 88 |
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| 96 |
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| 97 |
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| 98 |
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| 104 |
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| 108 |
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| 110 |
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|
| 112 |
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| 113 |
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| 114 |
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| 118 |
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-
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|
| 120 |
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|
| 124 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 134 |
-
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|
| 135 |
-
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|
| 136 |
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| 137 |
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| 138 |
-
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|
| 139 |
-
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|
| 140 |
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| 141 |
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|
| 142 |
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|
| 143 |
-
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|
| 144 |
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| 145 |
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|
| 146 |
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|
| 147 |
-
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|
| 148 |
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| 149 |
-
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|
| 150 |
-
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|
| 151 |
-
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|
| 152 |
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| 153 |
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|
| 154 |
-
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| 155 |
-
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|
| 156 |
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|
| 157 |
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|
| 158 |
-
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|
| 159 |
-
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|
| 160 |
-
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|
| 161 |
-
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|
| 162 |
-
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|
| 163 |
-
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|
| 164 |
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| 165 |
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| 166 |
-
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|
| 167 |
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|
| 168 |
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| 169 |
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| 170 |
-
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|
| 171 |
-
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| 172 |
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| 173 |
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| 174 |
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|
| 175 |
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|
| 176 |
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| 177 |
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| 178 |
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|
| 179 |
-
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|
| 180 |
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| 181 |
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| 182 |
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|
| 183 |
-
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|
| 184 |
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| 185 |
-
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|
| 186 |
-
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|
| 187 |
-
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|
| 188 |
-
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|
| 189 |
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|
| 190 |
-
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|
| 191 |
-
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|
| 192 |
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|
| 193 |
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|
| 194 |
-
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|
| 195 |
-
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|
| 196 |
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|
| 197 |
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|
| 198 |
-
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|
| 199 |
-
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|
| 200 |
-
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|
| 201 |
-
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|
| 202 |
-
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|
| 203 |
-
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|
| 204 |
-
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| 205 |
-
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|
| 206 |
-
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|
| 207 |
-
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|
| 208 |
-
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| 209 |
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|
| 210 |
-
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|
| 211 |
-
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|
| 212 |
-
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|
| 213 |
-
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|
| 214 |
-
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|
| 215 |
-
"query": "\"sound event detection\" in:readme"
|
| 216 |
-
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|
| 217 |
-
{
|
| 218 |
-
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|
| 219 |
-
"query": "\"audio source separation\" in:readme"
|
| 220 |
-
},
|
| 221 |
-
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|
| 222 |
-
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|
| 223 |
-
"query": "\"speaker diarization\" in:readme"
|
| 224 |
-
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|
| 225 |
-
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|
| 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 |
-
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|
| 233 |
-
{
|
| 234 |
-
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|
| 235 |
-
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|
| 236 |
-
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| 237 |
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|
| 238 |
-
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|
| 239 |
-
"query": "\"speech synthesis\" in:readme"
|
| 240 |
-
},
|
| 241 |
-
{
|
| 242 |
-
"id": "audio-speech-to-text",
|
| 243 |
-
"query": "\"speech to text\" in:readme"
|
| 244 |
-
},
|
| 245 |
-
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|
| 246 |
-
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|
| 247 |
-
"query": "\"speech translation\" in:readme"
|
| 248 |
-
},
|
| 249 |
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|
| 250 |
-
"id": "audio-text-to-audio",
|
| 251 |
-
"query": "\"text to audio\" in:readme"
|
| 252 |
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|
| 253 |
-
{
|
| 254 |
-
"id": "audio-text-to-speech",
|
| 255 |
-
"query": "\"text to speech\" in:readme"
|
| 256 |
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|
| 257 |
-
{
|
| 258 |
-
"id": "audio-voice-conversion",
|
| 259 |
-
"query": "\"voice conversion\" in:readme"
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| 260 |
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},
|
| 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": "recall.archaeological-remote-sensing",
|
| 1515 |
-
"query": "archaeology \"remote sensing\" in:name,description,readme"
|
| 1516 |
-
},
|
| 1517 |
-
{
|
| 1518 |
-
"id": "recall.case-outcome-prediction",
|
| 1519 |
-
"query": "\"case outcome prediction\" in:name,description,readme"
|
| 1520 |
-
},
|
| 1521 |
-
{
|
| 1522 |
-
"id": "recall.computational-linguistics",
|
| 1523 |
-
"query": "\"computational linguistics\" model in:name,description,readme"
|
| 1524 |
-
},
|
| 1525 |
-
{
|
| 1526 |
-
"id": "recall.computational-social-science",
|
| 1527 |
-
"query": "\"computational social science\" in:name,description,readme"
|
| 1528 |
-
},
|
| 1529 |
-
{
|
| 1530 |
-
"id": "recall.digital-humanities-nlp",
|
| 1531 |
-
"query": "\"digital humanities\" NLP in:name,description,readme"
|
| 1532 |
-
},
|
| 1533 |
-
{
|
| 1534 |
-
"id": "recall.disease-surveillance",
|
| 1535 |
-
"query": "\"disease surveillance\" machine learning in:name,description,readme"
|
| 1536 |
-
},
|
| 1537 |
-
{
|
| 1538 |
-
"id": "recall.educational-recommendation",
|
| 1539 |
-
"query": "\"educational recommendation\" in:name,description,readme"
|
| 1540 |
-
},
|
| 1541 |
-
{
|
| 1542 |
-
"id": "recall.epidemic-forecasting",
|
| 1543 |
-
"query": "\"epidemic forecasting\" in:name,description,readme"
|
| 1544 |
-
},
|
| 1545 |
-
{
|
| 1546 |
-
"id": "recall.epidemiological-modeling",
|
| 1547 |
-
"query": "\"epidemiological modeling\" machine learning in:name,description,readme"
|
| 1548 |
-
},
|
| 1549 |
-
{
|
| 1550 |
-
"id": "recall.grid-stability-prediction",
|
| 1551 |
-
"query": "\"grid stability prediction\" in:name,description,readme"
|
| 1552 |
-
},
|
| 1553 |
-
{
|
| 1554 |
-
"id": "recall.historical-document-recognition",
|
| 1555 |
-
"query": "\"historical document recognition\" in:name,description,readme"
|
| 1556 |
-
},
|
| 1557 |
-
{
|
| 1558 |
-
"id": "recall.infrastructure-damage-detection",
|
| 1559 |
-
"query": "\"infrastructure damage detection\" deep learning in:name,description,readme"
|
| 1560 |
-
},
|
| 1561 |
-
{
|
| 1562 |
-
"id": "recall.insurance-risk-modeling",
|
| 1563 |
-
"query": "\"insurance risk\" machine learning in:name,description,readme"
|
| 1564 |
-
},
|
| 1565 |
-
{
|
| 1566 |
-
"id": "recall.legal-document-classification",
|
| 1567 |
-
"query": "\"legal document classification\" in:name,description,readme"
|
| 1568 |
-
},
|
| 1569 |
-
{
|
| 1570 |
-
"id": "recall.legal-nlp",
|
| 1571 |
-
"query": "legal NLP in:name,description,readme"
|
| 1572 |
-
},
|
| 1573 |
-
{
|
| 1574 |
-
"id": "recall.name.artificial-intelligence",
|
| 1575 |
-
"query": "\"artificial intelligence\" in:name,description,readme"
|
| 1576 |
-
},
|
| 1577 |
-
{
|
| 1578 |
-
"id": "recall.name.deep-learning",
|
| 1579 |
-
"query": "\"deep learning\" in:name,description,readme"
|
| 1580 |
-
},
|
| 1581 |
-
{
|
| 1582 |
-
"id": "recall.name.diffusion-model",
|
| 1583 |
-
"query": "diffusion model in:name,description,readme"
|
| 1584 |
-
},
|
| 1585 |
-
{
|
| 1586 |
-
"id": "recall.name.foundation-model",
|
| 1587 |
-
"query": "foundation model in:name,description,readme"
|
| 1588 |
-
},
|
| 1589 |
-
{
|
| 1590 |
-
"id": "recall.name.language-model",
|
| 1591 |
-
"query": "\"language model\" in:name,description,readme"
|
| 1592 |
-
},
|
| 1593 |
-
{
|
| 1594 |
-
"id": "recall.name.large-language-model",
|
| 1595 |
-
"query": "\"large language model\" in:name,description,readme"
|
| 1596 |
-
},
|
| 1597 |
-
{
|
| 1598 |
-
"id": "recall.name.machine-learning",
|
| 1599 |
-
"query": "\"machine learning\" in:name,description,readme"
|
| 1600 |
-
},
|
| 1601 |
-
{
|
| 1602 |
-
"id": "recall.name.multimodal-model",
|
| 1603 |
-
"query": "multimodal model in:name,description,readme"
|
| 1604 |
-
},
|
| 1605 |
-
{
|
| 1606 |
-
"id": "recall.name.neural-network",
|
| 1607 |
-
"query": "\"neural network\" in:name,description,readme"
|
| 1608 |
-
},
|
| 1609 |
-
{
|
| 1610 |
-
"id": "recall.name.transformer-model",
|
| 1611 |
-
"query": "transformer model in:name,description,readme"
|
| 1612 |
-
},
|
| 1613 |
-
{
|
| 1614 |
-
"id": "recall.player-tracking",
|
| 1615 |
-
"query": "\"player tracking\" computer vision in:name,description,readme"
|
| 1616 |
-
},
|
| 1617 |
-
{
|
| 1618 |
-
"id": "recall.population-health-prediction",
|
| 1619 |
-
"query": "\"population health prediction\" in:name,description,readme"
|
| 1620 |
-
},
|
| 1621 |
-
{
|
| 1622 |
-
"id": "recall.power-system-forecasting",
|
| 1623 |
-
"query": "\"power system forecasting\" in:name,description,readme"
|
| 1624 |
-
},
|
| 1625 |
-
{
|
| 1626 |
-
"id": "recall.social-media-analysis",
|
| 1627 |
-
"query": "\"social media analysis\" NLP in:name,description,readme"
|
| 1628 |
-
},
|
| 1629 |
-
{
|
| 1630 |
-
"id": "recall.sports-analytics",
|
| 1631 |
-
"query": "\"sports analytics\" model in:name,description,readme"
|
| 1632 |
-
},
|
| 1633 |
-
{
|
| 1634 |
-
"id": "recall.structural-health-monitoring",
|
| 1635 |
-
"query": "\"structural health monitoring\" machine learning in:name,description,readme"
|
| 1636 |
-
},
|
| 1637 |
-
{
|
| 1638 |
-
"id": "recall.student-performance-prediction",
|
| 1639 |
-
"query": "\"student performance prediction\" in:name,description,readme"
|
| 1640 |
-
},
|
| 1641 |
-
{
|
| 1642 |
-
"id": "recall26.audio-language-model",
|
| 1643 |
-
"query": "\"audio language model\" in:description,readme"
|
| 1644 |
-
},
|
| 1645 |
-
{
|
| 1646 |
-
"id": "recall26.class-imbalance",
|
| 1647 |
-
"query": "\"class imbalance\" \"machine learning\" in:description,readme"
|
| 1648 |
-
},
|
| 1649 |
-
{
|
| 1650 |
-
"id": "recall26.image-dehazing",
|
| 1651 |
-
"query": "\"image dehazing\" in:description,readme"
|
| 1652 |
-
},
|
| 1653 |
-
{
|
| 1654 |
-
"id": "recall26.image-denoising",
|
| 1655 |
-
"query": "\"image denoising\" in:description,readme"
|
| 1656 |
-
},
|
| 1657 |
-
{
|
| 1658 |
-
"id": "recall26.long-tailed-recognition",
|
| 1659 |
-
"query": "\"long-tailed recognition\" in:description,readme"
|
| 1660 |
-
},
|
| 1661 |
-
{
|
| 1662 |
-
"id": "recall26.low-light-enhancement",
|
| 1663 |
-
"query": "\"low-light image enhancement\" in:description,readme"
|
| 1664 |
-
},
|
| 1665 |
-
{
|
| 1666 |
-
"id": "recall26.sign-language",
|
| 1667 |
-
"query": "\"sign language\" in:description,readme"
|
| 1668 |
-
},
|
| 1669 |
-
{
|
| 1670 |
-
"id": "recall26.visual-grounding",
|
| 1671 |
-
"query": "\"visual grounding\" in:description,readme"
|
| 1672 |
-
},
|
| 1673 |
-
{
|
| 1674 |
-
"id": "rl.bandits",
|
| 1675 |
-
"query": "\"multi-armed bandit\" in:description"
|
| 1676 |
-
},
|
| 1677 |
-
{
|
| 1678 |
-
"id": "rl.continual",
|
| 1679 |
-
"query": "\"continual reinforcement learning\" in:description,readme"
|
| 1680 |
-
},
|
| 1681 |
-
{
|
| 1682 |
-
"id": "rl.core",
|
| 1683 |
-
"query": "topic:reinforcement-learning"
|
| 1684 |
-
},
|
| 1685 |
-
{
|
| 1686 |
-
"id": "rl.deep",
|
| 1687 |
-
"query": "\"deep reinforcement learning\" in:description"
|
| 1688 |
-
},
|
| 1689 |
-
{
|
| 1690 |
-
"id": "rl.deep-q-learning",
|
| 1691 |
-
"query": "\"deep q-learning\" in:description"
|
| 1692 |
-
},
|
| 1693 |
-
{
|
| 1694 |
-
"id": "rl.distributional",
|
| 1695 |
-
"query": "\"distributional reinforcement learning\" in:description,readme"
|
| 1696 |
-
},
|
| 1697 |
-
{
|
| 1698 |
-
"id": "rl.exploration",
|
| 1699 |
-
"query": "\"reinforcement learning exploration\" in:description"
|
| 1700 |
-
},
|
| 1701 |
-
{
|
| 1702 |
-
"id": "rl.games",
|
| 1703 |
-
"query": "topic:game-ai"
|
| 1704 |
-
},
|
| 1705 |
-
{
|
| 1706 |
-
"id": "rl.hierarchical",
|
| 1707 |
-
"query": "\"hierarchical reinforcement learning\" in:description"
|
| 1708 |
-
},
|
| 1709 |
-
{
|
| 1710 |
-
"id": "rl.imitation-learning",
|
| 1711 |
-
"query": "\"imitation learning\" in:description"
|
| 1712 |
-
},
|
| 1713 |
-
{
|
| 1714 |
-
"id": "rl.inverse",
|
| 1715 |
-
"query": "\"inverse reinforcement learning\" in:description"
|
| 1716 |
-
},
|
| 1717 |
-
{
|
| 1718 |
-
"id": "rl.model-based",
|
| 1719 |
-
"query": "\"model-based reinforcement learning\" in:description"
|
| 1720 |
-
},
|
| 1721 |
-
{
|
| 1722 |
-
"id": "rl.model-free",
|
| 1723 |
-
"query": "\"model-free reinforcement learning\" in:description"
|
| 1724 |
-
},
|
| 1725 |
-
{
|
| 1726 |
-
"id": "rl.multiagent",
|
| 1727 |
-
"query": "\"multi-agent reinforcement learning\" in:description"
|
| 1728 |
-
},
|
| 1729 |
-
{
|
| 1730 |
-
"id": "rl.offline",
|
| 1731 |
-
"query": "\"offline reinforcement learning\" in:description"
|
| 1732 |
-
},
|
| 1733 |
-
{
|
| 1734 |
-
"id": "rl.planning",
|
| 1735 |
-
"query": "\"reinforcement learning planning\" in:description"
|
| 1736 |
-
},
|
| 1737 |
-
{
|
| 1738 |
-
"id": "rl.policy-gradient",
|
| 1739 |
-
"query": "\"policy gradient\" in:description"
|
| 1740 |
-
},
|
| 1741 |
-
{
|
| 1742 |
-
"id": "rl.ppo",
|
| 1743 |
-
"query": "\"proximal policy optimization\" in:description"
|
| 1744 |
-
},
|
| 1745 |
-
{
|
| 1746 |
-
"id": "rl.preference",
|
| 1747 |
-
"query": "\"preference-based reinforcement learning\" in:description"
|
| 1748 |
-
},
|
| 1749 |
-
{
|
| 1750 |
-
"id": "rl.reinforcement-learning-from-human-feedback",
|
| 1751 |
-
"query": "\"reinforcement learning from human feedback\" in:description"
|
| 1752 |
-
},
|
| 1753 |
-
{
|
| 1754 |
-
"id": "rl.safe",
|
| 1755 |
-
"query": "\"safe reinforcement learning\" in:description"
|
| 1756 |
-
},
|
| 1757 |
-
{
|
| 1758 |
-
"id": "rl.soft-actor-critic",
|
| 1759 |
-
"query": "\"soft actor-critic\" in:description"
|
| 1760 |
-
},
|
| 1761 |
-
{
|
| 1762 |
-
"id": "robotics.autonomous-driving",
|
| 1763 |
-
"query": "\"autonomous driving\" in:description"
|
| 1764 |
-
},
|
| 1765 |
-
{
|
| 1766 |
-
"id": "robotics.behavior-cloning",
|
| 1767 |
-
"query": "\"behavior cloning\" in:description"
|
| 1768 |
-
},
|
| 1769 |
-
{
|
| 1770 |
-
"id": "robotics.diffusion-policy",
|
| 1771 |
-
"query": "\"diffusion policy\" in:description"
|
| 1772 |
-
},
|
| 1773 |
-
{
|
| 1774 |
-
"id": "robotics.domain-randomization",
|
| 1775 |
-
"query": "\"domain randomization\" in:description"
|
| 1776 |
-
},
|
| 1777 |
-
{
|
| 1778 |
-
"id": "robotics.embodied-ai",
|
| 1779 |
-
"query": "\"embodied AI\" in:description"
|
| 1780 |
-
},
|
| 1781 |
-
{
|
| 1782 |
-
"id": "robotics.grasping",
|
| 1783 |
-
"query": "\"robot grasping\" in:description"
|
| 1784 |
-
},
|
| 1785 |
-
{
|
| 1786 |
-
"id": "robotics.imitation-learning",
|
| 1787 |
-
"query": "\"imitation learning\" robotics in:description"
|
| 1788 |
-
},
|
| 1789 |
-
{
|
| 1790 |
-
"id": "robotics.locomotion",
|
| 1791 |
-
"query": "\"robot locomotion\" in:description"
|
| 1792 |
-
},
|
| 1793 |
-
{
|
| 1794 |
-
"id": "robotics.manipulation",
|
| 1795 |
-
"query": "\"robot manipulation\" in:description"
|
| 1796 |
-
},
|
| 1797 |
-
{
|
| 1798 |
-
"id": "robotics.navigation",
|
| 1799 |
-
"query": "\"robot navigation\" in:description"
|
| 1800 |
-
},
|
| 1801 |
-
{
|
| 1802 |
-
"id": "robotics.robot-control",
|
| 1803 |
-
"query": "\"robot control\" in:description"
|
| 1804 |
-
},
|
| 1805 |
-
{
|
| 1806 |
-
"id": "robotics.robot-foundation-model",
|
| 1807 |
-
"query": "robot foundation model in:description,readme"
|
| 1808 |
-
},
|
| 1809 |
-
{
|
| 1810 |
-
"id": "robotics.robot-learning",
|
| 1811 |
-
"query": "\"robot learning\" in:description"
|
| 1812 |
-
},
|
| 1813 |
-
{
|
| 1814 |
-
"id": "robotics.robot-manipulation-learning",
|
| 1815 |
-
"query": "\"robot manipulation learning\" in:readme"
|
| 1816 |
-
},
|
| 1817 |
-
{
|
| 1818 |
-
"id": "robotics.robot-motion-planning",
|
| 1819 |
-
"query": "\"robot motion planning\" in:description"
|
| 1820 |
-
},
|
| 1821 |
-
{
|
| 1822 |
-
"id": "robotics.robotics-reinforcement-learning",
|
| 1823 |
-
"query": "\"robotics reinforcement learning\" in:description"
|
| 1824 |
-
},
|
| 1825 |
-
{
|
| 1826 |
-
"id": "robotics.robotics-topic",
|
| 1827 |
-
"query": "topic:robotics"
|
| 1828 |
-
},
|
| 1829 |
-
{
|
| 1830 |
-
"id": "robotics.sim2real",
|
| 1831 |
-
"query": "\"sim-to-real\" in:description"
|
| 1832 |
-
},
|
| 1833 |
-
{
|
| 1834 |
-
"id": "robotics.slam",
|
| 1835 |
-
"query": "SLAM robotics in:description"
|
| 1836 |
-
},
|
| 1837 |
-
{
|
| 1838 |
-
"id": "robotics.tactile-learning",
|
| 1839 |
-
"query": "tactile robot learning in:description,readme"
|
| 1840 |
-
},
|
| 1841 |
-
{
|
| 1842 |
-
"id": "robotics.teleoperation",
|
| 1843 |
-
"query": "robot teleoperation learning in:description,readme"
|
| 1844 |
-
},
|
| 1845 |
-
{
|
| 1846 |
-
"id": "robotics.visual-language-action",
|
| 1847 |
-
"query": "\"vision-language-action\" in:description"
|
| 1848 |
-
},
|
| 1849 |
-
{
|
| 1850 |
-
"id": "robotics.visuomotor-policy",
|
| 1851 |
-
"query": "\"visuomotor policy\" in:description"
|
| 1852 |
-
},
|
| 1853 |
-
{
|
| 1854 |
-
"id": "science.astronomy",
|
| 1855 |
-
"query": "astronomy in:readme"
|
| 1856 |
-
},
|
| 1857 |
-
{
|
| 1858 |
-
"id": "science.astrophysics",
|
| 1859 |
-
"query": "astrophysics in:description"
|
| 1860 |
-
},
|
| 1861 |
-
{
|
| 1862 |
-
"id": "science.climate-modeling",
|
| 1863 |
-
"query": "\"climate modeling\" in:readme"
|
| 1864 |
-
},
|
| 1865 |
-
{
|
| 1866 |
-
"id": "science.computational-mechanics",
|
| 1867 |
-
"query": "\"computational mechanics\" \"machine learning\" in:description,readme"
|
| 1868 |
-
},
|
| 1869 |
-
{
|
| 1870 |
-
"id": "science.cosmology",
|
| 1871 |
-
"query": "cosmology in:description"
|
| 1872 |
-
},
|
| 1873 |
-
{
|
| 1874 |
-
"id": "science.differentiable-simulation",
|
| 1875 |
-
"query": "\"differentiable simulation\" in:readme"
|
| 1876 |
-
},
|
| 1877 |
-
{
|
| 1878 |
-
"id": "science.exoplanets",
|
| 1879 |
-
"query": "exoplanet in:description \"machine learning\""
|
| 1880 |
-
},
|
| 1881 |
-
{
|
| 1882 |
-
"id": "science.fluid-dynamics",
|
| 1883 |
-
"query": "\"fluid dynamics\" in:description"
|
| 1884 |
-
},
|
| 1885 |
-
{
|
| 1886 |
-
"id": "science.fusion-plasma",
|
| 1887 |
-
"query": "fusion plasma in:description \"machine learning\""
|
| 1888 |
-
},
|
| 1889 |
-
{
|
| 1890 |
-
"id": "science.gravitational-waves",
|
| 1891 |
-
"query": "\"gravitational wave\" \"machine learning\" in:description,readme"
|
| 1892 |
-
},
|
| 1893 |
-
{
|
| 1894 |
-
"id": "science.inverse-problems",
|
| 1895 |
-
"query": "\"inverse problems\" in:description"
|
| 1896 |
-
},
|
| 1897 |
-
{
|
| 1898 |
-
"id": "science.neural-operators",
|
| 1899 |
-
"query": "\"neural operator\" in:description"
|
| 1900 |
-
},
|
| 1901 |
-
{
|
| 1902 |
-
"id": "science.ocean-modeling",
|
| 1903 |
-
"query": "\"ocean modeling\" \"machine learning\" in:description,readme"
|
| 1904 |
-
},
|
| 1905 |
-
{
|
| 1906 |
-
"id": "science.particle-physics",
|
| 1907 |
-
"query": "\"particle physics\" in:description"
|
| 1908 |
-
},
|
| 1909 |
-
{
|
| 1910 |
-
"id": "science.photonics",
|
| 1911 |
-
"query": "photonics \"machine learning\" in:description,readme"
|
| 1912 |
-
},
|
| 1913 |
-
{
|
| 1914 |
-
"id": "science.physics",
|
| 1915 |
-
"query": "physics in:description"
|
| 1916 |
-
},
|
| 1917 |
-
{
|
| 1918 |
-
"id": "science.physics-informed-neural-networks",
|
| 1919 |
-
"query": "\"physics-informed neural network\" in:description"
|
| 1920 |
-
},
|
| 1921 |
-
{
|
| 1922 |
-
"id": "science.plasma-physics",
|
| 1923 |
-
"query": "\"plasma physics\" in:description"
|
| 1924 |
-
},
|
| 1925 |
-
{
|
| 1926 |
-
"id": "science.quantum-materials",
|
| 1927 |
-
"query": "\"quantum materials\" \"machine learning\" in:description,readme"
|
| 1928 |
-
},
|
| 1929 |
-
{
|
| 1930 |
-
"id": "science.quantum-physics",
|
| 1931 |
-
"query": "\"quantum many-body\" \"machine learning\" in:description,readme"
|
| 1932 |
-
},
|
| 1933 |
-
{
|
| 1934 |
-
"id": "science.remote-sensing",
|
| 1935 |
-
"query": "\"remote sensing\" in:description"
|
| 1936 |
-
},
|
| 1937 |
-
{
|
| 1938 |
-
"id": "science.scientific-machine-learning",
|
| 1939 |
-
"query": "\"scientific machine learning\" in:readme"
|
| 1940 |
-
},
|
| 1941 |
-
{
|
| 1942 |
-
"id": "science.seismic",
|
| 1943 |
-
"query": "\"seismic data\" \"machine learning\" in:description,readme"
|
| 1944 |
-
},
|
| 1945 |
-
{
|
| 1946 |
-
"id": "science.turbulence",
|
| 1947 |
-
"query": "turbulence in:description \"machine learning\""
|
| 1948 |
-
},
|
| 1949 |
-
{
|
| 1950 |
-
"id": "science.weather-forecasting",
|
| 1951 |
-
"query": "\"weather forecasting\" climate in:description"
|
| 1952 |
-
},
|
| 1953 |
-
{
|
| 1954 |
-
"id": "science.weather-nowcasting",
|
| 1955 |
-
"query": "nowcasting in:description \"machine learning\""
|
| 1956 |
-
},
|
| 1957 |
-
{
|
| 1958 |
-
"id": "specialized.carbon-footprint-training",
|
| 1959 |
-
"query": "\"carbon footprint\" \"deep learning\" training in:description,readme"
|
| 1960 |
-
},
|
| 1961 |
-
{
|
| 1962 |
-
"id": "specialized.computational-pathology-ml",
|
| 1963 |
-
"query": "\"computational pathology\" \"machine learning\" in:description,readme"
|
| 1964 |
-
},
|
| 1965 |
-
{
|
| 1966 |
-
"id": "specialized.coreset-selection",
|
| 1967 |
-
"query": "\"coreset selection\" in:description,readme"
|
| 1968 |
-
},
|
| 1969 |
-
{
|
| 1970 |
-
"id": "specialized.curriculum-learning",
|
| 1971 |
-
"query": "\"curriculum learning\" in:description,readme"
|
| 1972 |
-
},
|
| 1973 |
-
{
|
| 1974 |
-
"id": "specialized.data-centric-ai",
|
| 1975 |
-
"query": "\"data-centric AI\" in:description,readme"
|
| 1976 |
-
},
|
| 1977 |
-
{
|
| 1978 |
-
"id": "specialized.data-shapley",
|
| 1979 |
-
"query": "\"data Shapley\" in:description,readme"
|
| 1980 |
-
},
|
| 1981 |
-
{
|
| 1982 |
-
"id": "specialized.dataset-distillation",
|
| 1983 |
-
"query": "\"dataset distillation\" in:description,readme"
|
| 1984 |
-
},
|
| 1985 |
-
{
|
| 1986 |
-
"id": "specialized.event-camera-deep-learning",
|
| 1987 |
-
"query": "\"event camera\" \"deep learning\" in:description,readme"
|
| 1988 |
-
},
|
| 1989 |
-
{
|
| 1990 |
-
"id": "specialized.fmri-decoding-ml",
|
| 1991 |
-
"query": "\"fMRI decoding\" \"machine learning\" in:description,readme"
|
| 1992 |
-
},
|
| 1993 |
-
{
|
| 1994 |
-
"id": "specialized.machine-unlearning",
|
| 1995 |
-
"query": "\"machine unlearning\" in:description,readme"
|
| 1996 |
-
},
|
| 1997 |
-
{
|
| 1998 |
-
"id": "specialized.mechanistic-interpretability",
|
| 1999 |
-
"query": "\"mechanistic interpretability\" in:description,readme"
|
| 2000 |
-
},
|
| 2001 |
-
{
|
| 2002 |
-
"id": "specialized.medical-image-registration-deep-learning",
|
| 2003 |
-
"query": "\"medical image registration\" \"deep learning\" in:description,readme"
|
| 2004 |
-
},
|
| 2005 |
-
{
|
| 2006 |
-
"id": "specialized.pathology-foundation-model",
|
| 2007 |
-
"query": "\"pathology foundation model\" \"machine learning\" in:description,readme"
|
| 2008 |
-
},
|
| 2009 |
-
{
|
| 2010 |
-
"id": "specialized.spiking-neural-network",
|
| 2011 |
-
"query": "\"spiking neural network\" in:description,readme"
|
| 2012 |
-
},
|
| 2013 |
-
{
|
| 2014 |
-
"id": "specialized.test-time-adaptation",
|
| 2015 |
-
"query": "\"test-time adaptation\" in:description,readme"
|
| 2016 |
-
},
|
| 2017 |
-
{
|
| 2018 |
-
"id": "timeseries.anomaly-detection",
|
| 2019 |
-
"query": "\"time series anomaly detection\" in:description"
|
| 2020 |
-
},
|
| 2021 |
-
{
|
| 2022 |
-
"id": "timeseries.classification",
|
| 2023 |
-
"query": "\"time series classification\" in:description"
|
| 2024 |
-
},
|
| 2025 |
-
{
|
| 2026 |
-
"id": "timeseries.clustering",
|
| 2027 |
-
"query": "\"time series clustering\" in:description,readme"
|
| 2028 |
-
},
|
| 2029 |
-
{
|
| 2030 |
-
"id": "timeseries.energy-forecasting",
|
| 2031 |
-
"query": "\"energy forecasting\" in:description"
|
| 2032 |
-
},
|
| 2033 |
-
{
|
| 2034 |
-
"id": "timeseries.event-forecasting",
|
| 2035 |
-
"query": "\"event forecasting\" in:description"
|
| 2036 |
-
},
|
| 2037 |
-
{
|
| 2038 |
-
"id": "timeseries.forecasting",
|
| 2039 |
-
"query": "\"time series forecasting\" in:description"
|
| 2040 |
-
},
|
| 2041 |
-
{
|
| 2042 |
-
"id": "timeseries.foundation-models",
|
| 2043 |
-
"query": "\"time series foundation model\" in:description"
|
| 2044 |
-
},
|
| 2045 |
-
{
|
| 2046 |
-
"id": "timeseries.imputation",
|
| 2047 |
-
"query": "\"time series imputation\" in:description,readme"
|
| 2048 |
-
},
|
| 2049 |
-
{
|
| 2050 |
-
"id": "timeseries.long-horizon",
|
| 2051 |
-
"query": "\"long horizon forecasting\" in:readme"
|
| 2052 |
-
},
|
| 2053 |
-
{
|
| 2054 |
-
"id": "timeseries.multivariate",
|
| 2055 |
-
"query": "\"multivariate time series\" in:description"
|
| 2056 |
-
},
|
| 2057 |
-
{
|
| 2058 |
-
"id": "timeseries.nbeats",
|
| 2059 |
-
"query": "N-BEATS in:description"
|
| 2060 |
-
},
|
| 2061 |
-
{
|
| 2062 |
-
"id": "timeseries.patchtst",
|
| 2063 |
-
"query": "PatchTST in:description"
|
| 2064 |
-
},
|
| 2065 |
-
{
|
| 2066 |
-
"id": "timeseries.predictive-maintenance",
|
| 2067 |
-
"query": "\"predictive maintenance\" in:description"
|
| 2068 |
-
},
|
| 2069 |
-
{
|
| 2070 |
-
"id": "timeseries.probabilistic-forecasting",
|
| 2071 |
-
"query": "\"probabilistic forecasting\" in:readme"
|
| 2072 |
-
},
|
| 2073 |
-
{
|
| 2074 |
-
"id": "timeseries.remaining-useful-life",
|
| 2075 |
-
"query": "\"remaining useful life\" in:readme"
|
| 2076 |
-
},
|
| 2077 |
-
{
|
| 2078 |
-
"id": "timeseries.sensor-data",
|
| 2079 |
-
"query": "\"sensor time series\" in:description"
|
| 2080 |
-
},
|
| 2081 |
-
{
|
| 2082 |
-
"id": "timeseries.state-space-models",
|
| 2083 |
-
"query": "\"state space model\" in:description"
|
| 2084 |
-
},
|
| 2085 |
-
{
|
| 2086 |
-
"id": "timeseries.streaming",
|
| 2087 |
-
"query": "\"streaming time series\" in:readme"
|
| 2088 |
-
},
|
| 2089 |
-
{
|
| 2090 |
-
"id": "timeseries.synthetic-generation",
|
| 2091 |
-
"query": "\"time series generation\" in:description,readme"
|
| 2092 |
-
},
|
| 2093 |
-
{
|
| 2094 |
-
"id": "timeseries.tabular-foundation-models",
|
| 2095 |
-
"query": "\"tabular foundation model\" in:description,readme"
|
| 2096 |
-
},
|
| 2097 |
-
{
|
| 2098 |
-
"id": "timeseries.temporal-fusion-transformer",
|
| 2099 |
-
"query": "\"temporal fusion transformer\" in:description"
|
| 2100 |
-
},
|
| 2101 |
-
{
|
| 2102 |
-
"id": "timeseries.temporal-representation",
|
| 2103 |
-
"query": "\"temporal representation learning\" in:readme"
|
| 2104 |
-
},
|
| 2105 |
-
{
|
| 2106 |
-
"id": "timeseries.topic",
|
| 2107 |
-
"query": "topic:time-series"
|
| 2108 |
-
},
|
| 2109 |
-
{
|
| 2110 |
-
"id": "timeseries.traffic-forecasting",
|
| 2111 |
-
"query": "\"traffic forecasting\" in:description"
|
| 2112 |
-
},
|
| 2113 |
-
{
|
| 2114 |
-
"id": "timeseries.unevenly-spaced",
|
| 2115 |
-
"query": "\"irregular time series\" in:description"
|
| 2116 |
-
},
|
| 2117 |
-
{
|
| 2118 |
-
"id": "timeseries.weather-forecasting",
|
| 2119 |
-
"query": "\"weather forecasting\" in:description"
|
| 2120 |
-
},
|
| 2121 |
-
{
|
| 2122 |
-
"id": "trust.adversarial-robustness",
|
| 2123 |
-
"query": "\"adversarial robustness\" in:description"
|
| 2124 |
-
},
|
| 2125 |
-
{
|
| 2126 |
-
"id": "trust.ai-alignment",
|
| 2127 |
-
"query": "\"AI alignment\" in:description"
|
| 2128 |
-
},
|
| 2129 |
-
{
|
| 2130 |
-
"id": "trust.ai-safety",
|
| 2131 |
-
"query": "\"AI safety\" in:description"
|
| 2132 |
-
},
|
| 2133 |
-
{
|
| 2134 |
-
"id": "trust.algorithmic-fairness",
|
| 2135 |
-
"query": "\"algorithmic fairness\" in:description"
|
| 2136 |
-
},
|
| 2137 |
-
{
|
| 2138 |
-
"id": "trust.algorithmic-recourse",
|
| 2139 |
-
"query": "\"algorithmic recourse\" in:description"
|
| 2140 |
-
},
|
| 2141 |
-
{
|
| 2142 |
-
"id": "trust.causal-discovery",
|
| 2143 |
-
"query": "\"causal discovery\" in:description"
|
| 2144 |
-
},
|
| 2145 |
-
{
|
| 2146 |
-
"id": "trust.causal-effect-estimation",
|
| 2147 |
-
"query": "\"causal effect estimation\" in:description"
|
| 2148 |
-
},
|
| 2149 |
-
{
|
| 2150 |
-
"id": "trust.causal-mediation",
|
| 2151 |
-
"query": "\"causal mediation analysis\" in:description"
|
| 2152 |
-
},
|
| 2153 |
-
{
|
| 2154 |
-
"id": "trust.causal-ml",
|
| 2155 |
-
"query": "\"causal machine learning\" in:description"
|
| 2156 |
-
},
|
| 2157 |
-
{
|
| 2158 |
-
"id": "trust.causal-representation-learning",
|
| 2159 |
-
"query": "\"causal representation learning\" in:description"
|
| 2160 |
-
},
|
| 2161 |
-
{
|
| 2162 |
-
"id": "trust.conformal-prediction",
|
| 2163 |
-
"query": "\"conformal prediction\" in:description"
|
| 2164 |
-
},
|
| 2165 |
-
{
|
| 2166 |
-
"id": "trust.counterfactual-explanations",
|
| 2167 |
-
"query": "\"counterfactual explanation\" in:description"
|
| 2168 |
-
},
|
| 2169 |
-
{
|
| 2170 |
-
"id": "trust.differential-privacy",
|
| 2171 |
-
"query": "\"differential privacy\" in:description"
|
| 2172 |
-
},
|
| 2173 |
-
{
|
| 2174 |
-
"id": "trust.distribution-shift",
|
| 2175 |
-
"query": "\"distribution shift\" in:description"
|
| 2176 |
-
},
|
| 2177 |
-
{
|
| 2178 |
-
"id": "trust.domain-generalization",
|
| 2179 |
-
"query": "\"domain generalization\" in:description"
|
| 2180 |
-
},
|
| 2181 |
-
{
|
| 2182 |
-
"id": "trust.explainable-ai",
|
| 2183 |
-
"query": "\"explainable AI\" in:description"
|
| 2184 |
-
},
|
| 2185 |
-
{
|
| 2186 |
-
"id": "trust.federated-learning",
|
| 2187 |
-
"query": "\"federated learning\" in:description"
|
| 2188 |
-
},
|
| 2189 |
-
{
|
| 2190 |
-
"id": "trust.instrumental-variable-ml",
|
| 2191 |
-
"query": "\"double machine learning\" in:description"
|
| 2192 |
-
},
|
| 2193 |
-
{
|
| 2194 |
-
"id": "trust.interpretable-ml",
|
| 2195 |
-
"query": "\"interpretable machine learning\" in:description"
|
| 2196 |
-
},
|
| 2197 |
-
{
|
| 2198 |
-
"id": "trust.membership-inference",
|
| 2199 |
-
"query": "\"membership inference\" in:description"
|
| 2200 |
-
},
|
| 2201 |
-
{
|
| 2202 |
-
"id": "trust.ml-fairness",
|
| 2203 |
-
"query": "\"machine learning fairness\" in:description"
|
| 2204 |
-
},
|
| 2205 |
-
{
|
| 2206 |
-
"id": "trust.model-calibration",
|
| 2207 |
-
"query": "\"model calibration\" in:description"
|
| 2208 |
-
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|
| 2209 |
-
{
|
| 2210 |
-
"id": "trust.neuro-symbolic",
|
| 2211 |
-
"query": "\"neuro-symbolic\" in:description"
|
| 2212 |
-
},
|
| 2213 |
-
{
|
| 2214 |
-
"id": "trust.out-of-distribution-detection",
|
| 2215 |
-
"query": "\"out-of-distribution detection\" in:description"
|
| 2216 |
-
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|
| 2217 |
-
{
|
| 2218 |
-
"id": "trust.privacy-preserving-ml",
|
| 2219 |
-
"query": "\"privacy-preserving machine learning\" in:description"
|
| 2220 |
-
},
|
| 2221 |
-
{
|
| 2222 |
-
"id": "trust.robustness-certification",
|
| 2223 |
-
"query": "\"certified robustness\" in:description"
|
| 2224 |
-
},
|
| 2225 |
-
{
|
| 2226 |
-
"id": "trust.safe-reinforcement-learning",
|
| 2227 |
-
"query": "\"safe reinforcement learning\" constrained in:description"
|
| 2228 |
-
},
|
| 2229 |
-
{
|
| 2230 |
-
"id": "trust.shap",
|
| 2231 |
-
"query": "SHAP in:description"
|
| 2232 |
-
},
|
| 2233 |
-
{
|
| 2234 |
-
"id": "trust.uncertainty-quantification",
|
| 2235 |
-
"query": "\"uncertainty quantification\" in:description"
|
| 2236 |
-
},
|
| 2237 |
-
{
|
| 2238 |
-
"id": "vision.action-recognition",
|
| 2239 |
-
"query": "\"action recognition\" in:description"
|
| 2240 |
-
},
|
| 2241 |
-
{
|
| 2242 |
-
"id": "vision.change-detection",
|
| 2243 |
-
"query": "\"change detection\" in:readme"
|
| 2244 |
-
},
|
| 2245 |
-
{
|
| 2246 |
-
"id": "vision.depth-estimation",
|
| 2247 |
-
"query": "\"depth estimation\" in:readme"
|
| 2248 |
-
},
|
| 2249 |
-
{
|
| 2250 |
-
"id": "vision.face-recognition",
|
| 2251 |
-
"query": "\"face recognition\" in:readme"
|
| 2252 |
-
},
|
| 2253 |
-
{
|
| 2254 |
-
"id": "vision.image-captioning",
|
| 2255 |
-
"query": "\"image captioning\" in:readme"
|
| 2256 |
-
},
|
| 2257 |
-
{
|
| 2258 |
-
"id": "vision.image-classification",
|
| 2259 |
-
"query": "\"image classification\" in:description"
|
| 2260 |
-
},
|
| 2261 |
-
{
|
| 2262 |
-
"id": "vision.image-diffusion",
|
| 2263 |
-
"query": "\"image diffusion model\" in:readme"
|
| 2264 |
-
},
|
| 2265 |
-
{
|
| 2266 |
-
"id": "vision.image-restoration",
|
| 2267 |
-
"query": "\"image restoration\" in:readme"
|
| 2268 |
-
},
|
| 2269 |
-
{
|
| 2270 |
-
"id": "vision.image-retrieval",
|
| 2271 |
-
"query": "\"image retrieval\" in:readme"
|
| 2272 |
-
},
|
| 2273 |
-
{
|
| 2274 |
-
"id": "vision.image-super-resolution",
|
| 2275 |
-
"query": "\"image super-resolution\" in:readme"
|
| 2276 |
-
},
|
| 2277 |
-
{
|
| 2278 |
-
"id": "vision.image-to-image-translation",
|
| 2279 |
-
"query": "\"image-to-image translation\" in:readme"
|
| 2280 |
-
},
|
| 2281 |
-
{
|
| 2282 |
-
"id": "vision.neural-rendering",
|
| 2283 |
-
"query": "\"neural rendering\" in:description"
|
| 2284 |
-
},
|
| 2285 |
-
{
|
| 2286 |
-
"id": "vision.object-detection",
|
| 2287 |
-
"query": "\"object detection\" in:description"
|
| 2288 |
-
},
|
| 2289 |
-
{
|
| 2290 |
-
"id": "vision.object-tracking",
|
| 2291 |
-
"query": "\"object tracking\" in:readme"
|
| 2292 |
-
},
|
| 2293 |
-
{
|
| 2294 |
-
"id": "vision.ocr",
|
| 2295 |
-
"query": "topic:ocr"
|
| 2296 |
-
},
|
| 2297 |
-
{
|
| 2298 |
-
"id": "vision.open-vocabulary-detection",
|
| 2299 |
-
"query": "\"open-vocabulary detection\" in:readme"
|
| 2300 |
-
},
|
| 2301 |
-
{
|
| 2302 |
-
"id": "vision.optical-flow",
|
| 2303 |
-
"query": "topic:optical-flow"
|
| 2304 |
-
},
|
| 2305 |
-
{
|
| 2306 |
-
"id": "vision.pose-estimation",
|
| 2307 |
-
"query": "\"human pose estimation\" in:readme"
|
| 2308 |
-
},
|
| 2309 |
-
{
|
| 2310 |
-
"id": "vision.promptable-segmentation",
|
| 2311 |
-
"query": "\"promptable segmentation\" in:readme"
|
| 2312 |
-
},
|
| 2313 |
-
{
|
| 2314 |
-
"id": "vision.segmentation",
|
| 2315 |
-
"query": "\"image segmentation\" in:description"
|
| 2316 |
-
},
|
| 2317 |
-
{
|
| 2318 |
-
"id": "vision.self-supervised-vision",
|
| 2319 |
-
"query": "\"self-supervised vision\" in:description"
|
| 2320 |
-
},
|
| 2321 |
-
{
|
| 2322 |
-
"id": "vision.topic-computer-vision",
|
| 2323 |
-
"query": "topic:computer-vision"
|
| 2324 |
-
},
|
| 2325 |
-
{
|
| 2326 |
-
"id": "vision.video-generation",
|
| 2327 |
-
"query": "\"video generation\" in:readme"
|
| 2328 |
-
},
|
| 2329 |
-
{
|
| 2330 |
-
"id": "vision.video-understanding",
|
| 2331 |
-
"query": "\"video understanding\" in:readme"
|
| 2332 |
-
},
|
| 2333 |
-
{
|
| 2334 |
-
"id": "vision.vision-language",
|
| 2335 |
-
"query": "\"vision-language model\" in:readme"
|
| 2336 |
-
},
|
| 2337 |
-
{
|
| 2338 |
-
"id": "vision.visual-anomaly-detection",
|
| 2339 |
-
"query": "\"visual anomaly detection\" in:readme"
|
| 2340 |
-
},
|
| 2341 |
-
{
|
| 2342 |
-
"id": "vision.visual-localization",
|
| 2343 |
-
"query": "\"visual localization\" in:readme"
|
| 2344 |
-
}
|
| 2345 |
-
],
|
| 2346 |
-
"start": "2026-09-26"
|
| 2347 |
-
},
|
| 2348 |
"search_policy_version": 2,
|
| 2349 |
-
"since": "2026-09-
|
| 2350 |
"until": "2026-09-29",
|
| 2351 |
-
"updated_at": "2026-09-
|
| 2352 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"cursor": null,
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| 3 |
"search_policy_version": 2,
|
| 4 |
+
"since": "2026-09-29",
|
| 5 |
"until": "2026-09-29",
|
| 6 |
+
"updated_at": "2026-09-30T15:58:03Z"
|
| 7 |
}
|