| { |
| "cursor": { |
| "end": "2026-09-26", |
| "field": "created", |
| "per_page": 100, |
| "query_id": "timeseries.classification", |
| "query_index": 503, |
| "specs": [ |
| { |
| "id": "applied.ad-ranking", |
| "query": "\"ad ranking\" in:description" |
| }, |
| { |
| "id": "applied.agricultural-ml", |
| "query": "\"agricultural machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.algorithmic-trading", |
| "query": "\"algorithmic trading\" \"machine learning\" in:readme" |
| }, |
| { |
| "id": "applied.causal-inference", |
| "query": "\"causal inference\" in:description" |
| }, |
| { |
| "id": "applied.churn-prediction", |
| "query": "\"customer churn prediction\" in:description" |
| }, |
| { |
| "id": "applied.click-through-rate", |
| "query": "\"click-through rate prediction\" in:readme" |
| }, |
| { |
| "id": "applied.collaborative-filtering", |
| "query": "\"collaborative filtering\" in:description" |
| }, |
| { |
| "id": "applied.credit-scoring", |
| "query": "\"credit scoring\" in:description" |
| }, |
| { |
| "id": "applied.customer-lifetime-value", |
| "query": "\"customer lifetime value\" in:description" |
| }, |
| { |
| "id": "applied.customer-segmentation", |
| "query": "\"customer segmentation\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.cybersecurity-ml", |
| "query": "\"machine learning\" cybersecurity in:description,readme" |
| }, |
| { |
| "id": "applied.demand-forecasting", |
| "query": "\"demand forecasting\" in:description" |
| }, |
| { |
| "id": "applied.dynamic-pricing", |
| "query": "\"dynamic pricing\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.ecological-forecasting", |
| "query": "\"ecological forecasting\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.educational-data-mining", |
| "query": "\"educational data mining\" in:description,readme" |
| }, |
| { |
| "id": "applied.energy-load-forecasting", |
| "query": "\"load forecasting\" energy in:description,readme" |
| }, |
| { |
| "id": "applied.fraud-detection", |
| "query": "\"fraud detection\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.industrial-defect-detection", |
| "query": "\"industrial defect detection\" \"deep learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.intrusion-detection", |
| "query": "\"intrusion detection\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.inventory-optimization", |
| "query": "\"inventory optimization\" in:readme" |
| }, |
| { |
| "id": "applied.learning-to-rank", |
| "query": "\"learning to rank\" in:description" |
| }, |
| { |
| "id": "applied.malware-detection", |
| "query": "\"malware detection\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.ml-econometrics", |
| "query": "\"machine learning econometrics\" in:readme" |
| }, |
| { |
| "id": "applied.plant-disease-detection", |
| "query": "\"plant disease detection\" \"deep learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.portfolio-optimization", |
| "query": "\"portfolio optimization\" in:readme" |
| }, |
| { |
| "id": "applied.predictive-maintenance", |
| "query": "\"predictive maintenance\" industrial in:description" |
| }, |
| { |
| "id": "applied.process-mining-prediction", |
| "query": "\"predictive process monitoring\" in:description,readme" |
| }, |
| { |
| "id": "applied.quantitative-finance", |
| "query": "\"quantitative finance\" in:readme" |
| }, |
| { |
| "id": "applied.recommender-systems", |
| "query": "\"recommender system\" in:readme" |
| }, |
| { |
| "id": "applied.search-ranking", |
| "query": "\"search ranking\" in:readme" |
| }, |
| { |
| "id": "applied.species-distribution-modeling", |
| "query": "\"species distribution modeling\" in:description,readme" |
| }, |
| { |
| "id": "applied.supply-chain-optimization", |
| "query": "\"supply chain optimization\" in:readme" |
| }, |
| { |
| "id": "applied.tabular-ml", |
| "query": "\"tabular data\" in:readme" |
| }, |
| { |
| "id": "applied.time-series-forecasting", |
| "query": "\"time series forecasting\" manufacturing in:description" |
| }, |
| { |
| "id": "applied.traffic-prediction", |
| "query": "\"traffic prediction\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "applied.uplift-modeling", |
| "query": "\"uplift modeling\" in:description" |
| }, |
| { |
| "id": "audio-acoustic-event-classification", |
| "query": "\"acoustic scene classification\" in:readme" |
| }, |
| { |
| "id": "audio-anomaly-detection", |
| "query": "\"audio anomaly detection\" in:readme" |
| }, |
| { |
| "id": "audio-asr", |
| "query": "\"automatic speech recognition\" in:readme" |
| }, |
| { |
| "id": "audio-audio-captioning", |
| "query": "\"audio captioning\" in:readme" |
| }, |
| { |
| "id": "audio-audio-classification", |
| "query": "\"audio classification\" in:readme" |
| }, |
| { |
| "id": "audio-audio-question-answering", |
| "query": "\"audio question answering\" in:readme" |
| }, |
| { |
| "id": "audio-audio-super-resolution", |
| "query": "\"audio super-resolution\" in:readme" |
| }, |
| { |
| "id": "audio-generation", |
| "query": "\"audio generation\" in:readme" |
| }, |
| { |
| "id": "audio-keyword-spotting", |
| "query": "\"keyword spotting\" audio in:readme" |
| }, |
| { |
| "id": "audio-music-generation", |
| "query": "\"music generation\" in:readme" |
| }, |
| { |
| "id": "audio-music-information-retrieval", |
| "query": "\"music information retrieval\" in:readme" |
| }, |
| { |
| "id": "audio-music-recommendation", |
| "query": "\"music recommendation\" in:readme" |
| }, |
| { |
| "id": "audio-music-source-separation", |
| "query": "\"music source separation\" in:readme" |
| }, |
| { |
| "id": "audio-music-transcription", |
| "query": "\"automatic music transcription\" in:readme" |
| }, |
| { |
| "id": "audio-neural-codec", |
| "query": "\"neural audio codec\" in:readme" |
| }, |
| { |
| "id": "audio-sound-event-detection", |
| "query": "\"sound event detection\" in:readme" |
| }, |
| { |
| "id": "audio-source-separation", |
| "query": "\"audio source separation\" in:readme" |
| }, |
| { |
| "id": "audio-speaker-diarization", |
| "query": "\"speaker diarization\" in:readme" |
| }, |
| { |
| "id": "audio-speaker-verification", |
| "query": "\"speaker verification\" in:readme" |
| }, |
| { |
| "id": "audio-speech-emotion-recognition", |
| "query": "\"speech emotion recognition\" in:readme" |
| }, |
| { |
| "id": "audio-speech-enhancement", |
| "query": "\"speech enhancement\" in:readme" |
| }, |
| { |
| "id": "audio-speech-synthesis", |
| "query": "\"speech synthesis\" in:readme" |
| }, |
| { |
| "id": "audio-speech-to-text", |
| "query": "\"speech to text\" in:readme" |
| }, |
| { |
| "id": "audio-speech-translation", |
| "query": "\"speech translation\" in:readme" |
| }, |
| { |
| "id": "audio-text-to-audio", |
| "query": "\"text to audio\" in:readme" |
| }, |
| { |
| "id": "audio-text-to-speech", |
| "query": "\"text to speech\" in:readme" |
| }, |
| { |
| "id": "audio-voice-conversion", |
| "query": "\"voice conversion\" in:readme" |
| }, |
| { |
| "id": "bio.cell-atlas", |
| "query": "\"cell atlas\" in:description,readme" |
| }, |
| { |
| "id": "bio.chemical-biology", |
| "query": "\"protein function prediction\" in:description,readme" |
| }, |
| { |
| "id": "bio.crispr", |
| "query": "\"CRISPR screen\" in:description,readme" |
| }, |
| { |
| "id": "bio.dna-language-models", |
| "query": "\"DNA language model\" in:description" |
| }, |
| { |
| "id": "bio.gene-regulatory-networks", |
| "query": "\"gene regulatory network\" in:description,readme" |
| }, |
| { |
| "id": "bio.genome-assembly", |
| "query": "\"genome assembly\" \"neural network\" in:description,readme" |
| }, |
| { |
| "id": "bio.genomics", |
| "query": "\"genomics\" in:description" |
| }, |
| { |
| "id": "bio.inverse-folding", |
| "query": "\"inverse folding\" in:readme" |
| }, |
| { |
| "id": "bio.metagenomics", |
| "query": "\"metagenomic classification\" in:description,readme" |
| }, |
| { |
| "id": "bio.microbiome", |
| "query": "\"microbiome\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "bio.microscopy-cell-analysis", |
| "query": "\"cell segmentation\" microscopy in:description,readme" |
| }, |
| { |
| "id": "bio.molecular-dynamics", |
| "query": "\"molecular dynamics\" in:description" |
| }, |
| { |
| "id": "bio.molecular-force-fields", |
| "query": "\"machine learning force field\" in:readme" |
| }, |
| { |
| "id": "bio.phylogenetics", |
| "query": "\"phylogenetics\" in:description" |
| }, |
| { |
| "id": "bio.protein-design", |
| "query": "\"protein design\" in:description" |
| }, |
| { |
| "id": "bio.protein-folding", |
| "query": "\"protein folding\" in:readme" |
| }, |
| { |
| "id": "bio.protein-interactions", |
| "query": "\"protein-protein interaction prediction\" in:readme" |
| }, |
| { |
| "id": "bio.protein-structure", |
| "query": "\"protein structure prediction\" in:description" |
| }, |
| { |
| "id": "bio.regulatory-sequence-modeling", |
| "query": "enhancer prediction genomics in:description,readme" |
| }, |
| { |
| "id": "bio.rna-language-models", |
| "query": "\"RNA language model\" in:description" |
| }, |
| { |
| "id": "bio.rna-structure", |
| "query": "\"RNA structure prediction\" in:description,readme" |
| }, |
| { |
| "id": "bio.scrna-seq", |
| "query": "\"scRNA-seq\" in:readme" |
| }, |
| { |
| "id": "bio.single-cell", |
| "query": "\"single-cell\" in:description" |
| }, |
| { |
| "id": "bio.spatial-transcriptomics", |
| "query": "\"spatial transcriptomics\" in:description,readme" |
| }, |
| { |
| "id": "bio.transcriptomics", |
| "query": "\"transcriptomics\" in:description" |
| }, |
| { |
| "id": "bio.variant-effects", |
| "query": "\"variant effect prediction\" in:readme" |
| }, |
| { |
| "id": "chem-admet", |
| "query": "\"ADMET prediction\" in:description,readme" |
| }, |
| { |
| "id": "chem-binding-affinity", |
| "query": "\"binding affinity prediction\" in:description,readme" |
| }, |
| { |
| "id": "chem-catalyst-discovery", |
| "query": "\"catalyst discovery\" in:description,readme" |
| }, |
| { |
| "id": "chem-cheminformatics", |
| "query": "topic:cheminformatics" |
| }, |
| { |
| "id": "chem-drug-discovery", |
| "query": "\"drug discovery\" in:description,readme" |
| }, |
| { |
| "id": "chem-interatomic-potentials", |
| "query": "\"machine learning interatomic potential\" in:description,readme" |
| }, |
| { |
| "id": "chem-molecular-docking", |
| "query": "\"molecular docking\" in:description,readme" |
| }, |
| { |
| "id": "chem-molecular-dynamics", |
| "query": "\"molecular dynamics\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "chem-molecular-generation", |
| "query": "\"molecular generation\" in:description,readme" |
| }, |
| { |
| "id": "chem-molecular-property-benchmark", |
| "query": "MoleculeNet in:description,readme" |
| }, |
| { |
| "id": "chem-molecular-spectroscopy", |
| "query": "molecular spectroscopy \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "chem-property-prediction", |
| "query": "\"molecular property prediction\" in:description,readme" |
| }, |
| { |
| "id": "chem-protein-ligand-docking", |
| "query": "\"protein-ligand docking\" in:description,readme" |
| }, |
| { |
| "id": "chem-quantum-chemistry", |
| "query": "\"quantum chemistry\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "chem-reaction-conditions", |
| "query": "\"reaction condition prediction\" in:description,readme" |
| }, |
| { |
| "id": "chem-reaction-prediction", |
| "query": "\"reaction prediction\" in:description,readme" |
| }, |
| { |
| "id": "chem-reaction-yield", |
| "query": "\"reaction yield prediction\" in:description,readme" |
| }, |
| { |
| "id": "chem-retrosynthesis", |
| "query": "\"computer aided synthesis planning\" in:description,readme" |
| }, |
| { |
| "id": "chem-retrosynthesis-planning", |
| "query": "retrosynthesis in:description,readme" |
| }, |
| { |
| "id": "chem-virtual-screening", |
| "query": "\"virtual screening\" in:description,readme" |
| }, |
| { |
| "id": "efficiency.activation-checkpointing", |
| "query": "\"activation checkpointing\" in:description" |
| }, |
| { |
| "id": "efficiency.automl", |
| "query": "AutoML in:description" |
| }, |
| { |
| "id": "efficiency.communication-efficient-training", |
| "query": "\"communication efficient training\" in:description" |
| }, |
| { |
| "id": "efficiency.compiler-optimization", |
| "query": "\"machine learning compiler\" in:description" |
| }, |
| { |
| "id": "efficiency.distributed-training", |
| "query": "\"distributed training\" in:description" |
| }, |
| { |
| "id": "efficiency.edge-ai", |
| "query": "\"edge AI\" in:description" |
| }, |
| { |
| "id": "efficiency.energy-efficient-ml", |
| "query": "\"energy efficient machine learning\" in:description" |
| }, |
| { |
| "id": "efficiency.flash-attention", |
| "query": "\"FlashAttention\" in:description" |
| }, |
| { |
| "id": "efficiency.gpu-kernels", |
| "query": "\"GPU kernel\" in:description" |
| }, |
| { |
| "id": "efficiency.gradient-optimization", |
| "query": "\"gradient-based optimization\" in:description" |
| }, |
| { |
| "id": "efficiency.hyperparameter-optimization", |
| "query": "\"hyperparameter optimization\" in:description" |
| }, |
| { |
| "id": "efficiency.inference-systems", |
| "query": "\"inference engine\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "efficiency.knowledge-distillation", |
| "query": "\"knowledge distillation\" in:description" |
| }, |
| { |
| "id": "efficiency.kv-cache", |
| "query": "\"KV cache\" in:description" |
| }, |
| { |
| "id": "efficiency.lora", |
| "query": "LoRA in:description" |
| }, |
| { |
| "id": "efficiency.low-rank-factorization", |
| "query": "\"low-rank factorization\" in:description" |
| }, |
| { |
| "id": "efficiency.mixed-precision-training", |
| "query": "\"mixed precision training\" in:description" |
| }, |
| { |
| "id": "efficiency.mixture-of-experts", |
| "query": "\"mixture of experts\" in:description" |
| }, |
| { |
| "id": "efficiency.model-compression", |
| "query": "\"model compression\" in:description" |
| }, |
| { |
| "id": "efficiency.neural-architecture-search", |
| "query": "\"neural architecture search\" in:description" |
| }, |
| { |
| "id": "efficiency.optimizer-state-sharding", |
| "query": "\"optimizer state sharding\" in:description" |
| }, |
| { |
| "id": "efficiency.parameter-efficient-finetuning", |
| "query": "\"parameter-efficient fine-tuning\" in:description" |
| }, |
| { |
| "id": "efficiency.post-training-quantization", |
| "query": "\"post-training quantization\" in:description" |
| }, |
| { |
| "id": "efficiency.pruning", |
| "query": "pruning in:description" |
| }, |
| { |
| "id": "efficiency.quantization", |
| "query": "quantization in:description" |
| }, |
| { |
| "id": "efficiency.quantization-aware-training", |
| "query": "\"quantization-aware training\" in:description" |
| }, |
| { |
| "id": "efficiency.sparse-neural-networks", |
| "query": "\"sparse neural network\" in:description" |
| }, |
| { |
| "id": "efficiency.speculative-decoding", |
| "query": "\"speculative decoding\" in:description" |
| }, |
| { |
| "id": "gap2026.archaeology-ml", |
| "query": "\"machine learning archaeology\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.climate-downscaling", |
| "query": "\"machine learning climate downscaling\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.clinical-ehr-representation", |
| "query": "\"electronic health record\" representation learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.clinical-risk-prediction", |
| "query": "\"clinical risk prediction\" machine learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.clinical-survival-ml", |
| "query": "\"survival analysis\" deep learning clinical in:description,readme" |
| }, |
| { |
| "id": "gap2026.clinical-treatment-effect", |
| "query": "\"treatment effect estimation\" clinical in:description,readme" |
| }, |
| { |
| "id": "gap2026.clinical-trial-matching", |
| "query": "\"clinical trial matching\" machine learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.econometrics-causal-forest", |
| "query": "\"causal forest\" econometrics in:description,readme" |
| }, |
| { |
| "id": "gap2026.econometrics-double-ml", |
| "query": "\"double machine learning\" econometrics in:description,readme" |
| }, |
| { |
| "id": "gap2026.econometrics-heterogeneous-effects", |
| "query": "\"heterogeneous treatment effects\" machine learning economics in:description,readme" |
| }, |
| { |
| "id": "gap2026.econometrics-policy-learning", |
| "query": "\"policy learning\" causal machine learning economics in:description,readme" |
| }, |
| { |
| "id": "gap2026.forecasting-count-data", |
| "query": "\"count time series forecasting\" neural in:description,readme" |
| }, |
| { |
| "id": "gap2026.forecasting-hierarchical", |
| "query": "\"hierarchical time series forecasting\" machine learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.forecasting-intermittent-demand", |
| "query": "\"intermittent demand forecasting\" machine learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.forecasting-quantile", |
| "query": "\"neural quantile forecasting\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.green-ai-carbon", |
| "query": "\"carbon emissions\" machine learning training in:description,readme" |
| }, |
| { |
| "id": "gap2026.green-ai-carbon-aware-scheduling", |
| "query": "\"carbon-aware\" machine learning scheduling in:description,readme" |
| }, |
| { |
| "id": "gap2026.green-ai-efficient-inference", |
| "query": "\"energy efficient inference\" neural network in:description,readme" |
| }, |
| { |
| "id": "gap2026.green-ai-energy", |
| "query": "\"energy efficient machine learning\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.math-learned-optimization", |
| "query": "\"learned optimizer\" optimization algorithm in:description,readme" |
| }, |
| { |
| "id": "gap2026.math-neural-combinatorial-optimization", |
| "query": "\"neural combinatorial optimization\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.neuroimaging-connectome", |
| "query": "\"connectome prediction\" machine learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.neuroimaging-eeg", |
| "query": "\"EEG deep learning\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.neuroimaging-fmri", |
| "query": "\"fMRI machine learning\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.neuroimaging-neural-decoding", |
| "query": "\"neural decoding\" machine learning in:description,readme" |
| }, |
| { |
| "id": "gap2026.physics-differentiable-simulation", |
| "query": "\"differentiable physics simulation\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.physics-inverse-problem", |
| "query": "\"inverse problems\" neural network physics in:description,readme" |
| }, |
| { |
| "id": "gap2026.physics-neural-pde-solver", |
| "query": "\"neural PDE solver\" in:description,readme" |
| }, |
| { |
| "id": "gap2026.physics-quantum-ml", |
| "query": "\"quantum machine learning\" physics in:description,readme" |
| }, |
| { |
| "id": "general.active-learning", |
| "query": "\"active learning\" in:description" |
| }, |
| { |
| "id": "general.artificial-intelligence-description", |
| "query": "\"artificial intelligence\" in:description" |
| }, |
| { |
| "id": "general.arxiv", |
| "query": "arxiv \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.automated-machine-learning", |
| "query": "\"automated machine learning\" in:readme" |
| }, |
| { |
| "id": "general.bayesian-deep-learning", |
| "query": "\"Bayesian deep learning\" in:description,readme" |
| }, |
| { |
| "id": "general.bayesian-optimization", |
| "query": "\"Bayesian optimization\" in:description" |
| }, |
| { |
| "id": "general.clustering", |
| "query": "\"clustering algorithm\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.continual-learning", |
| "query": "\"continual learning\" in:description,readme" |
| }, |
| { |
| "id": "general.contrastive-learning", |
| "query": "\"contrastive learning\" in:description,readme" |
| }, |
| { |
| "id": "general.decision-trees", |
| "query": "\"decision tree\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.deep-learning-description", |
| "query": "\"deep learning\" in:description" |
| }, |
| { |
| "id": "general.deep-learning-readme", |
| "query": "\"deep learning\" in:readme" |
| }, |
| { |
| "id": "general.dimensionality-reduction", |
| "query": "\"dimensionality reduction\" in:description,readme" |
| }, |
| { |
| "id": "general.domain-adaptation", |
| "query": "\"domain adaptation\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.gaussian-mixture-models", |
| "query": "\"Gaussian mixture model\" in:description,readme" |
| }, |
| { |
| "id": "general.gaussian-process", |
| "query": "\"Gaussian process\" in:description" |
| }, |
| { |
| "id": "general.gradient-boosting", |
| "query": "\"gradient boosting\" in:description" |
| }, |
| { |
| "id": "general.hidden-markov-models", |
| "query": "\"hidden Markov model\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.logistic-regression", |
| "query": "\"logistic regression\" in:description,readme" |
| }, |
| { |
| "id": "general.machine-learning-description", |
| "query": "\"machine learning\" in:description" |
| }, |
| { |
| "id": "general.machine-learning-readme", |
| "query": "\"machine learning\" in:readme" |
| }, |
| { |
| "id": "general.matrix-factorization", |
| "query": "\"matrix factorization\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.meta-learning", |
| "query": "\"meta-learning\" in:description,readme" |
| }, |
| { |
| "id": "general.metric-learning", |
| "query": "\"metric learning\" in:description,readme" |
| }, |
| { |
| "id": "general.model-architecture", |
| "query": "\"model architecture\" in:description" |
| }, |
| { |
| "id": "general.multi-task-learning", |
| "query": "\"multi-task learning\" in:description,readme" |
| }, |
| { |
| "id": "general.naive-bayes", |
| "query": "\"naive Bayes\" in:description,readme" |
| }, |
| { |
| "id": "general.nearest-neighbors", |
| "query": "\"nearest neighbors\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.neural-network", |
| "query": "\"neural network\" in:description" |
| }, |
| { |
| "id": "general.neural-processes", |
| "query": "\"neural processes\" in:description,readme" |
| }, |
| { |
| "id": "general.normalizing-flows", |
| "query": "\"normalizing flows\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.novel-method", |
| "query": "\"novel method\" in:description" |
| }, |
| { |
| "id": "general.paper-implementation", |
| "query": "\"paper implementation\" in:description" |
| }, |
| { |
| "id": "general.probabilistic-programming", |
| "query": "\"probabilistic programming\" in:description,readme" |
| }, |
| { |
| "id": "general.random-forest", |
| "query": "\"random forest\" in:description" |
| }, |
| { |
| "id": "general.research-code", |
| "query": "\"research code\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "general.self-supervised-learning", |
| "query": "\"self-supervised learning\" in:description" |
| }, |
| { |
| "id": "general.semi-supervised-learning", |
| "query": "\"semi-supervised learning\" in:description,readme" |
| }, |
| { |
| "id": "general.support-vector-machine", |
| "query": "\"support vector machine\" in:description" |
| }, |
| { |
| "id": "general.topic-artificial-intelligence", |
| "query": "topic:artificial-intelligence" |
| }, |
| { |
| "id": "general.topic-deep-learning", |
| "query": "topic:deep-learning" |
| }, |
| { |
| "id": "general.topic-machine-learning", |
| "query": "topic:machine-learning" |
| }, |
| { |
| "id": "general.transfer-learning", |
| "query": "\"transfer learning\" in:description,readme" |
| }, |
| { |
| "id": "general.weak-supervision", |
| "query": "\"weak supervision\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "geo.building-footprints", |
| "query": "\"building footprint extraction\" in:description,readme" |
| }, |
| { |
| "id": "geo.change-detection", |
| "query": "\"remote sensing change detection\" in:description,readme" |
| }, |
| { |
| "id": "geo.climate-mapping", |
| "query": "\"climate downscaling\" in:readme" |
| }, |
| { |
| "id": "geo.crop-monitoring", |
| "query": "\"crop yield prediction\" in:description,readme" |
| }, |
| { |
| "id": "geo.earth-observation-models", |
| "query": "\"Earth observation model\" in:description" |
| }, |
| { |
| "id": "geo.environmental-monitoring", |
| "query": "\"environmental monitoring\" in:readme" |
| }, |
| { |
| "id": "geo.flood-mapping", |
| "query": "\"flood mapping\" in:readme" |
| }, |
| { |
| "id": "geo.foundation-models-earth", |
| "query": "\"Earth observation foundation model\" in:description,readme" |
| }, |
| { |
| "id": "geo.geospatial-foundation-models", |
| "query": "\"geospatial foundation model\" in:readme" |
| }, |
| { |
| "id": "geo.geospatial-knowledge-graph", |
| "query": "\"geospatial knowledge graph\" in:description,readme" |
| }, |
| { |
| "id": "geo.hydrology", |
| "query": "\"hydrology machine learning\" in:readme" |
| }, |
| { |
| "id": "geo.land-cover", |
| "query": "\"land cover\" in:readme" |
| }, |
| { |
| "id": "geo.land-use", |
| "query": "\"land use\" in:readme" |
| }, |
| { |
| "id": "geo.lidar", |
| "query": "LiDAR in:description \"deep learning\"" |
| }, |
| { |
| "id": "geo.mobility-modeling", |
| "query": "\"human mobility\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "geo.object-detection", |
| "query": "\"object detection\" \"remote sensing\" in:description,readme" |
| }, |
| { |
| "id": "geo.ocean-remote-sensing", |
| "query": "\"ocean remote sensing\" in:description,readme" |
| }, |
| { |
| "id": "geo.precipitation-forecasting", |
| "query": "\"precipitation forecasting\" in:description,readme" |
| }, |
| { |
| "id": "geo.sar-imagery", |
| "query": "\"synthetic aperture radar\" in:readme" |
| }, |
| { |
| "id": "geo.satellite-imagery", |
| "query": "\"satellite imagery\" in:readme" |
| }, |
| { |
| "id": "geo.topic-earth-observation", |
| "query": "topic:earth-observation" |
| }, |
| { |
| "id": "geo.topic-geospatial", |
| "query": "topic:geospatial" |
| }, |
| { |
| "id": "geo.topic-gis", |
| "query": "topic:gis" |
| }, |
| { |
| "id": "geo.topic-remote-sensing", |
| "query": "topic:remote-sensing" |
| }, |
| { |
| "id": "geo.trajectory-prediction", |
| "query": "\"trajectory prediction\" geospatial in:description,readme" |
| }, |
| { |
| "id": "geo.urban-sensing", |
| "query": "\"urban remote sensing\" in:readme" |
| }, |
| { |
| "id": "geo.wildfire-mapping", |
| "query": "\"wildfire detection\" in:description,readme" |
| }, |
| { |
| "id": "graph.e3-equivariance", |
| "query": "\"E(3)-equivariant\" in:readme" |
| }, |
| { |
| "id": "graph.equivariant-networks", |
| "query": "\"equivariant neural network\" in:description" |
| }, |
| { |
| "id": "graph.geometric-learning", |
| "query": "\"geometric deep learning\" in:readme" |
| }, |
| { |
| "id": "graph.gnn-description", |
| "query": "\"graph neural network\" in:description" |
| }, |
| { |
| "id": "graph.graph-anomaly-detection", |
| "query": "\"graph anomaly detection\" in:description,readme" |
| }, |
| { |
| "id": "graph.graph-classification", |
| "query": "\"graph classification\" in:description" |
| }, |
| { |
| "id": "graph.graph-contrastive-learning", |
| "query": "\"graph contrastive learning\" in:description" |
| }, |
| { |
| "id": "graph.graph-diffusion", |
| "query": "\"graph diffusion model\" in:description" |
| }, |
| { |
| "id": "graph.graph-foundation-model", |
| "query": "\"graph foundation model\" in:description" |
| }, |
| { |
| "id": "graph.graph-generation", |
| "query": "\"graph generation\" in:readme" |
| }, |
| { |
| "id": "graph.graph-transformer", |
| "query": "\"graph transformer\" in:description" |
| }, |
| { |
| "id": "graph.hypergraph-neural-network", |
| "query": "\"hypergraph neural network\" in:description" |
| }, |
| { |
| "id": "graph.knowledge-graph-embedding", |
| "query": "\"knowledge graph embedding\" in:description" |
| }, |
| { |
| "id": "graph.knowledge-graphs", |
| "query": "topic:knowledge-graph" |
| }, |
| { |
| "id": "graph.link-prediction", |
| "query": "\"link prediction\" in:description" |
| }, |
| { |
| "id": "graph.manifold-learning", |
| "query": "\"manifold learning\" in:description" |
| }, |
| { |
| "id": "graph.mesh-graph-learning", |
| "query": "\"mesh graph neural network\" in:description" |
| }, |
| { |
| "id": "graph.molecular-graphs", |
| "query": "\"molecular graph neural network\" in:readme" |
| }, |
| { |
| "id": "graph.neural-ode-graph", |
| "query": "\"graph neural ODE\" in:description" |
| }, |
| { |
| "id": "graph.persistent-homology", |
| "query": "\"persistent homology\" in:description" |
| }, |
| { |
| "id": "graph.point-cloud-learning", |
| "query": "\"point cloud deep learning\" in:description" |
| }, |
| { |
| "id": "graph.point-clouds", |
| "query": "topic:point-cloud" |
| }, |
| { |
| "id": "graph.representation-learning", |
| "query": "\"graph representation learning\" in:readme" |
| }, |
| { |
| "id": "graph.signal-processing", |
| "query": "\"graph signal processing\" in:description,readme" |
| }, |
| { |
| "id": "graph.temporal-learning", |
| "query": "\"temporal graph\" in:description,readme" |
| }, |
| { |
| "id": "graph.topic-gnn", |
| "query": "topic:graph-neural-network" |
| }, |
| { |
| "id": "graph.topological-ml", |
| "query": "\"topological machine learning\" in:readme" |
| }, |
| { |
| "id": "llm-code-generation", |
| "query": "\"code generation\" \"language model\" in:readme" |
| }, |
| { |
| "id": "llm-reasoning", |
| "query": "\"reasoning model\" in:readme" |
| }, |
| { |
| "id": "llm-retrieval-augmented-generation", |
| "query": "\"retrieval-augmented generation\" in:readme" |
| }, |
| { |
| "id": "llm-text-to-speech", |
| "query": "\"text-to-speech\" \"language model\" in:readme" |
| }, |
| { |
| "id": "llm.agents", |
| "query": "topic:ai-agents" |
| }, |
| { |
| "id": "llm.ai-agent", |
| "query": "\"AI agent\" in:description" |
| }, |
| { |
| "id": "llm.alignment", |
| "query": "\"alignment\" in:description" |
| }, |
| { |
| "id": "llm.diffusion", |
| "query": "topic:diffusion-model" |
| }, |
| { |
| "id": "llm.diffusion-phrase", |
| "query": "\"diffusion model\" in:description" |
| }, |
| { |
| "id": "llm.evaluation", |
| "query": "\"LLM evaluation\" in:readme" |
| }, |
| { |
| "id": "llm.finetuning", |
| "query": "\"fine-tuning\" in:description" |
| }, |
| { |
| "id": "llm.foundation-models", |
| "query": "\"foundation model\" in:description" |
| }, |
| { |
| "id": "llm.generative-ai", |
| "query": "\"generative AI\" in:description" |
| }, |
| { |
| "id": "llm.instruction-tuning", |
| "query": "\"instruction tuning\" in:readme" |
| }, |
| { |
| "id": "llm.language-model", |
| "query": "\"language model\" in:description" |
| }, |
| { |
| "id": "llm.language-models", |
| "query": "topic:large-language-models" |
| }, |
| { |
| "id": "llm.large-language-model", |
| "query": "\"large language model\" in:description" |
| }, |
| { |
| "id": "llm.long-context", |
| "query": "\"long context\" \"language model\" in:readme" |
| }, |
| { |
| "id": "llm.multimodal", |
| "query": "\"multimodal language model\" in:description" |
| }, |
| { |
| "id": "llm.parameter-efficient-finetuning", |
| "query": "\"parameter-efficient fine-tuning\" in:readme" |
| }, |
| { |
| "id": "llm.preference-optimization", |
| "query": "\"direct preference optimization\" in:readme" |
| }, |
| { |
| "id": "llm.quantization", |
| "query": "\"LLM quantization\" in:readme" |
| }, |
| { |
| "id": "llm.speculative-decoding", |
| "query": "\"speculative decoding\" in:readme" |
| }, |
| { |
| "id": "llm.synthetic-data", |
| "query": "\"synthetic data\" in:description" |
| }, |
| { |
| "id": "llm.synthetic-data-generation", |
| "query": "\"synthetic data generation\" in:description" |
| }, |
| { |
| "id": "llm.test-time-compute", |
| "query": "\"test-time compute\" \"language model\" in:readme" |
| }, |
| { |
| "id": "llm.transformers", |
| "query": "\"transformer\" in:description" |
| }, |
| { |
| "id": "materials-battery", |
| "query": "\"battery materials\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "materials-crystal-generation", |
| "query": "\"crystal structure generation\" in:description,readme" |
| }, |
| { |
| "id": "materials-crystal-graph", |
| "query": "\"crystal graph\" in:description,readme" |
| }, |
| { |
| "id": "materials-dft-prediction", |
| "query": "\"density functional theory\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "materials-informatics", |
| "query": "\"materials informatics\" in:description,readme" |
| }, |
| { |
| "id": "materials-perovskite", |
| "query": "perovskite in:description \"machine learning\"" |
| }, |
| { |
| "id": "materials-polymer-informatics", |
| "query": "polymer informatics in:description,readme" |
| }, |
| { |
| "id": "medical.clinical-decision-support", |
| "query": "\"clinical decision support\" in:readme" |
| }, |
| { |
| "id": "medical.clinical-nlp", |
| "query": "\"clinical natural language processing\" in:readme" |
| }, |
| { |
| "id": "medical.clinical-time-series", |
| "query": "\"clinical time series\" in:description" |
| }, |
| { |
| "id": "medical.clinical-trials", |
| "query": "\"clinical trial prediction\" in:description" |
| }, |
| { |
| "id": "medical.dermatology", |
| "query": "dermatology AI dermoscopy in:description,readme" |
| }, |
| { |
| "id": "medical.diagnosis-prediction", |
| "query": "\"diagnosis prediction\" in:description" |
| }, |
| { |
| "id": "medical.drug-response", |
| "query": "\"drug response prediction\" in:description,readme" |
| }, |
| { |
| "id": "medical.ecg", |
| "query": "ECG \"deep learning\" in:description,readme" |
| }, |
| { |
| "id": "medical.eeg", |
| "query": "EEG \"deep learning\" in:description,readme" |
| }, |
| { |
| "id": "medical.ehr", |
| "query": "\"electronic health record\" in:readme" |
| }, |
| { |
| "id": "medical.genomics", |
| "query": "\"clinical genomics\" in:description,readme" |
| }, |
| { |
| "id": "medical.histopathology", |
| "query": "\"histopathology image analysis\" in:readme" |
| }, |
| { |
| "id": "medical.medical-image-reconstruction", |
| "query": "\"MRI reconstruction\" in:description,readme" |
| }, |
| { |
| "id": "medical.medical-image-registration", |
| "query": "\"medical image registration\" in:description,readme" |
| }, |
| { |
| "id": "medical.medical-image-segmentation", |
| "query": "\"medical image segmentation\" in:description" |
| }, |
| { |
| "id": "medical.medical-imaging", |
| "query": "\"medical imaging\" in:readme" |
| }, |
| { |
| "id": "medical.medical-language-model", |
| "query": "\"medical language model\" in:description" |
| }, |
| { |
| "id": "medical.medical-robotics", |
| "query": "\"surgical robotics\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "medical.neural-decoding", |
| "query": "\"neural data decoding\" in:description" |
| }, |
| { |
| "id": "medical.neuroimaging", |
| "query": "\"neuroimaging machine learning\" in:readme" |
| }, |
| { |
| "id": "medical.ophthalmology", |
| "query": "ophthalmology AI retinal in:description,readme" |
| }, |
| { |
| "id": "medical.pathology", |
| "query": "\"computational pathology\" in:description" |
| }, |
| { |
| "id": "medical.pathology-foundation-model", |
| "query": "\"pathology foundation model\" in:description,readme" |
| }, |
| { |
| "id": "medical.patient-risk", |
| "query": "\"patient deterioration prediction\" in:description,readme" |
| }, |
| { |
| "id": "medical.radiology", |
| "query": "\"radiology machine learning\" in:readme" |
| }, |
| { |
| "id": "medical.survival-analysis", |
| "query": "clinical survival prediction in:description,readme" |
| }, |
| { |
| "id": "medical.wearable-health", |
| "query": "\"wearable health monitoring\" in:readme" |
| }, |
| { |
| "id": "multimodal.3d-generation", |
| "query": "\"3D generation\" in:readme" |
| }, |
| { |
| "id": "multimodal.3d-human-pose", |
| "query": "\"3D human pose estimation\" in:readme" |
| }, |
| { |
| "id": "multimodal.3d-object-detection", |
| "query": "\"3D object detection\" in:readme" |
| }, |
| { |
| "id": "multimodal.3d-reconstruction", |
| "query": "\"3D reconstruction\" in:description" |
| }, |
| { |
| "id": "multimodal.audio-visual-learning", |
| "query": "\"audio visual learning\" in:readme" |
| }, |
| { |
| "id": "multimodal.embodied-world-models", |
| "query": "\"embodied world model\" in:description" |
| }, |
| { |
| "id": "multimodal.gaussian-splatting", |
| "query": "\"Gaussian splatting\" in:description" |
| }, |
| { |
| "id": "multimodal.image-text", |
| "query": "\"image-text\" in:description" |
| }, |
| { |
| "id": "multimodal.image-to-3d", |
| "query": "\"image to 3D\" in:readme" |
| }, |
| { |
| "id": "multimodal.image-to-video", |
| "query": "\"image to video\" in:readme" |
| }, |
| { |
| "id": "multimodal.motion-generation", |
| "query": "\"human motion generation\" in:readme" |
| }, |
| { |
| "id": "multimodal.nerf", |
| "query": "topic:nerf" |
| }, |
| { |
| "id": "multimodal.neural-rendering", |
| "query": "\"neural rendering\" \"radiance fields\" in:description" |
| }, |
| { |
| "id": "multimodal.point-cloud", |
| "query": "\"point cloud\" in:description" |
| }, |
| { |
| "id": "multimodal.scene-understanding", |
| "query": "\"scene understanding\" in:description" |
| }, |
| { |
| "id": "multimodal.text-to-3d", |
| "query": "\"text to 3D\" in:readme" |
| }, |
| { |
| "id": "multimodal.text-to-image", |
| "query": "\"text-to-image\" in:description" |
| }, |
| { |
| "id": "multimodal.text-to-video", |
| "query": "\"text-to-video\" in:description" |
| }, |
| { |
| "id": "multimodal.video-language-model", |
| "query": "\"video language model\" in:readme" |
| }, |
| { |
| "id": "multimodal.video-question-answering", |
| "query": "\"video question answering\" in:readme" |
| }, |
| { |
| "id": "multimodal.video-understanding", |
| "query": "\"video-language\" in:description" |
| }, |
| { |
| "id": "multimodal.vision-language", |
| "query": "\"vision-language\" in:description" |
| }, |
| { |
| "id": "multimodal.visual-question-answering", |
| "query": "\"visual question answering\" in:description" |
| }, |
| { |
| "id": "multimodal.vlm", |
| "query": "\"vision-language model\" in:description" |
| }, |
| { |
| "id": "multimodal.world-models", |
| "query": "\"world model\" in:description" |
| }, |
| { |
| "id": "nlp-bm25-retrieval", |
| "query": "BM25 retrieval in:readme" |
| }, |
| { |
| "id": "nlp-document-retrieval", |
| "query": "\"document retrieval\" in:readme" |
| }, |
| { |
| "id": "nlp-entity-linking", |
| "query": "\"entity linking\" in:readme" |
| }, |
| { |
| "id": "nlp-natural-language-inference", |
| "query": "\"natural language inference\" in:readme" |
| }, |
| { |
| "id": "nlp-query-understanding", |
| "query": "\"query understanding\" in:readme" |
| }, |
| { |
| "id": "nlp-sparse-retrieval", |
| "query": "\"sparse retrieval\" in:readme" |
| }, |
| { |
| "id": "nlp-speech-language-modeling", |
| "query": "\"speech language model\" in:readme" |
| }, |
| { |
| "id": "nlp.coreference-resolution", |
| "query": "\"coreference resolution\" in:readme" |
| }, |
| { |
| "id": "nlp.cross-encoder-reranking", |
| "query": "\"cross-encoder\" \"reranking\" in:readme" |
| }, |
| { |
| "id": "nlp.dense-retrieval", |
| "query": "\"dense retrieval\" in:readme" |
| }, |
| { |
| "id": "nlp.dependency-parsing", |
| "query": "\"dependency parsing\" in:readme" |
| }, |
| { |
| "id": "nlp.dialogue-systems", |
| "query": "\"dialogue system\" in:readme" |
| }, |
| { |
| "id": "nlp.information-extraction", |
| "query": "\"information extraction\" in:description" |
| }, |
| { |
| "id": "nlp.language-modeling", |
| "query": "\"language modeling\" in:description" |
| }, |
| { |
| "id": "nlp.machine-translation", |
| "query": "\"machine translation\" in:description" |
| }, |
| { |
| "id": "nlp.named-entity-recognition", |
| "query": "\"named entity recognition\" in:readme" |
| }, |
| { |
| "id": "nlp.neural-reranking", |
| "query": "\"neural reranking\" in:description" |
| }, |
| { |
| "id": "nlp.question-answering", |
| "query": "\"question answering\" in:description" |
| }, |
| { |
| "id": "nlp.rag", |
| "query": "\"retrieval augmented generation\" in:description" |
| }, |
| { |
| "id": "nlp.semantic-search", |
| "query": "\"semantic search\" in:description" |
| }, |
| { |
| "id": "nlp.sentence-embeddings", |
| "query": "\"sentence embeddings\" in:description" |
| }, |
| { |
| "id": "nlp.subword-tokenization", |
| "query": "\"subword tokenization\" in:readme" |
| }, |
| { |
| "id": "nlp.text-classification", |
| "query": "\"text classification\" in:description" |
| }, |
| { |
| "id": "nlp.text-generation", |
| "query": "\"text generation\" in:readme" |
| }, |
| { |
| "id": "nlp.text-summarization", |
| "query": "\"text summarization\" in:description" |
| }, |
| { |
| "id": "nlp.topic-modeling", |
| "query": "\"topic modeling\" in:readme" |
| }, |
| { |
| "id": "recall.archaeological-remote-sensing", |
| "query": "archaeology \"remote sensing\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.case-outcome-prediction", |
| "query": "\"case outcome prediction\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.computational-linguistics", |
| "query": "\"computational linguistics\" model in:name,description,readme" |
| }, |
| { |
| "id": "recall.computational-social-science", |
| "query": "\"computational social science\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.digital-humanities-nlp", |
| "query": "\"digital humanities\" NLP in:name,description,readme" |
| }, |
| { |
| "id": "recall.disease-surveillance", |
| "query": "\"disease surveillance\" machine learning in:name,description,readme" |
| }, |
| { |
| "id": "recall.educational-recommendation", |
| "query": "\"educational recommendation\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.epidemic-forecasting", |
| "query": "\"epidemic forecasting\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.epidemiological-modeling", |
| "query": "\"epidemiological modeling\" machine learning in:name,description,readme" |
| }, |
| { |
| "id": "recall.grid-stability-prediction", |
| "query": "\"grid stability prediction\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.historical-document-recognition", |
| "query": "\"historical document recognition\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.infrastructure-damage-detection", |
| "query": "\"infrastructure damage detection\" deep learning in:name,description,readme" |
| }, |
| { |
| "id": "recall.insurance-risk-modeling", |
| "query": "\"insurance risk\" machine learning in:name,description,readme" |
| }, |
| { |
| "id": "recall.legal-document-classification", |
| "query": "\"legal document classification\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.legal-nlp", |
| "query": "legal NLP in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.artificial-intelligence", |
| "query": "\"artificial intelligence\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.deep-learning", |
| "query": "\"deep learning\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.diffusion-model", |
| "query": "diffusion model in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.foundation-model", |
| "query": "foundation model in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.language-model", |
| "query": "\"language model\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.large-language-model", |
| "query": "\"large language model\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.machine-learning", |
| "query": "\"machine learning\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.multimodal-model", |
| "query": "multimodal model in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.neural-network", |
| "query": "\"neural network\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.name.transformer-model", |
| "query": "transformer model in:name,description,readme" |
| }, |
| { |
| "id": "recall.player-tracking", |
| "query": "\"player tracking\" computer vision in:name,description,readme" |
| }, |
| { |
| "id": "recall.population-health-prediction", |
| "query": "\"population health prediction\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.power-system-forecasting", |
| "query": "\"power system forecasting\" in:name,description,readme" |
| }, |
| { |
| "id": "recall.social-media-analysis", |
| "query": "\"social media analysis\" NLP in:name,description,readme" |
| }, |
| { |
| "id": "recall.sports-analytics", |
| "query": "\"sports analytics\" model in:name,description,readme" |
| }, |
| { |
| "id": "recall.structural-health-monitoring", |
| "query": "\"structural health monitoring\" machine learning in:name,description,readme" |
| }, |
| { |
| "id": "recall.student-performance-prediction", |
| "query": "\"student performance prediction\" in:name,description,readme" |
| }, |
| { |
| "id": "recall26.audio-language-model", |
| "query": "\"audio language model\" in:description,readme" |
| }, |
| { |
| "id": "recall26.class-imbalance", |
| "query": "\"class imbalance\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "recall26.image-dehazing", |
| "query": "\"image dehazing\" in:description,readme" |
| }, |
| { |
| "id": "recall26.image-denoising", |
| "query": "\"image denoising\" in:description,readme" |
| }, |
| { |
| "id": "recall26.long-tailed-recognition", |
| "query": "\"long-tailed recognition\" in:description,readme" |
| }, |
| { |
| "id": "recall26.low-light-enhancement", |
| "query": "\"low-light image enhancement\" in:description,readme" |
| }, |
| { |
| "id": "recall26.sign-language", |
| "query": "\"sign language\" in:description,readme" |
| }, |
| { |
| "id": "recall26.visual-grounding", |
| "query": "\"visual grounding\" in:description,readme" |
| }, |
| { |
| "id": "rl.bandits", |
| "query": "\"multi-armed bandit\" in:description" |
| }, |
| { |
| "id": "rl.continual", |
| "query": "\"continual reinforcement learning\" in:description,readme" |
| }, |
| { |
| "id": "rl.core", |
| "query": "topic:reinforcement-learning" |
| }, |
| { |
| "id": "rl.deep", |
| "query": "\"deep reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.deep-q-learning", |
| "query": "\"deep q-learning\" in:description" |
| }, |
| { |
| "id": "rl.distributional", |
| "query": "\"distributional reinforcement learning\" in:description,readme" |
| }, |
| { |
| "id": "rl.exploration", |
| "query": "\"reinforcement learning exploration\" in:description" |
| }, |
| { |
| "id": "rl.games", |
| "query": "topic:game-ai" |
| }, |
| { |
| "id": "rl.hierarchical", |
| "query": "\"hierarchical reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.imitation-learning", |
| "query": "\"imitation learning\" in:description" |
| }, |
| { |
| "id": "rl.inverse", |
| "query": "\"inverse reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.model-based", |
| "query": "\"model-based reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.model-free", |
| "query": "\"model-free reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.multiagent", |
| "query": "\"multi-agent reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.offline", |
| "query": "\"offline reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.planning", |
| "query": "\"reinforcement learning planning\" in:description" |
| }, |
| { |
| "id": "rl.policy-gradient", |
| "query": "\"policy gradient\" in:description" |
| }, |
| { |
| "id": "rl.ppo", |
| "query": "\"proximal policy optimization\" in:description" |
| }, |
| { |
| "id": "rl.preference", |
| "query": "\"preference-based reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.reinforcement-learning-from-human-feedback", |
| "query": "\"reinforcement learning from human feedback\" in:description" |
| }, |
| { |
| "id": "rl.safe", |
| "query": "\"safe reinforcement learning\" in:description" |
| }, |
| { |
| "id": "rl.soft-actor-critic", |
| "query": "\"soft actor-critic\" in:description" |
| }, |
| { |
| "id": "robotics.autonomous-driving", |
| "query": "\"autonomous driving\" in:description" |
| }, |
| { |
| "id": "robotics.behavior-cloning", |
| "query": "\"behavior cloning\" in:description" |
| }, |
| { |
| "id": "robotics.diffusion-policy", |
| "query": "\"diffusion policy\" in:description" |
| }, |
| { |
| "id": "robotics.domain-randomization", |
| "query": "\"domain randomization\" in:description" |
| }, |
| { |
| "id": "robotics.embodied-ai", |
| "query": "\"embodied AI\" in:description" |
| }, |
| { |
| "id": "robotics.grasping", |
| "query": "\"robot grasping\" in:description" |
| }, |
| { |
| "id": "robotics.imitation-learning", |
| "query": "\"imitation learning\" robotics in:description" |
| }, |
| { |
| "id": "robotics.locomotion", |
| "query": "\"robot locomotion\" in:description" |
| }, |
| { |
| "id": "robotics.manipulation", |
| "query": "\"robot manipulation\" in:description" |
| }, |
| { |
| "id": "robotics.navigation", |
| "query": "\"robot navigation\" in:description" |
| }, |
| { |
| "id": "robotics.robot-control", |
| "query": "\"robot control\" in:description" |
| }, |
| { |
| "id": "robotics.robot-foundation-model", |
| "query": "robot foundation model in:description,readme" |
| }, |
| { |
| "id": "robotics.robot-learning", |
| "query": "\"robot learning\" in:description" |
| }, |
| { |
| "id": "robotics.robot-manipulation-learning", |
| "query": "\"robot manipulation learning\" in:readme" |
| }, |
| { |
| "id": "robotics.robot-motion-planning", |
| "query": "\"robot motion planning\" in:description" |
| }, |
| { |
| "id": "robotics.robotics-reinforcement-learning", |
| "query": "\"robotics reinforcement learning\" in:description" |
| }, |
| { |
| "id": "robotics.robotics-topic", |
| "query": "topic:robotics" |
| }, |
| { |
| "id": "robotics.sim2real", |
| "query": "\"sim-to-real\" in:description" |
| }, |
| { |
| "id": "robotics.slam", |
| "query": "SLAM robotics in:description" |
| }, |
| { |
| "id": "robotics.tactile-learning", |
| "query": "tactile robot learning in:description,readme" |
| }, |
| { |
| "id": "robotics.teleoperation", |
| "query": "robot teleoperation learning in:description,readme" |
| }, |
| { |
| "id": "robotics.visual-language-action", |
| "query": "\"vision-language-action\" in:description" |
| }, |
| { |
| "id": "robotics.visuomotor-policy", |
| "query": "\"visuomotor policy\" in:description" |
| }, |
| { |
| "id": "science.astronomy", |
| "query": "astronomy in:readme" |
| }, |
| { |
| "id": "science.astrophysics", |
| "query": "astrophysics in:description" |
| }, |
| { |
| "id": "science.climate-modeling", |
| "query": "\"climate modeling\" in:readme" |
| }, |
| { |
| "id": "science.computational-mechanics", |
| "query": "\"computational mechanics\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.cosmology", |
| "query": "cosmology in:description" |
| }, |
| { |
| "id": "science.differentiable-simulation", |
| "query": "\"differentiable simulation\" in:readme" |
| }, |
| { |
| "id": "science.exoplanets", |
| "query": "exoplanet in:description \"machine learning\"" |
| }, |
| { |
| "id": "science.fluid-dynamics", |
| "query": "\"fluid dynamics\" in:description" |
| }, |
| { |
| "id": "science.fusion-plasma", |
| "query": "fusion plasma in:description \"machine learning\"" |
| }, |
| { |
| "id": "science.gravitational-waves", |
| "query": "\"gravitational wave\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.inverse-problems", |
| "query": "\"inverse problems\" in:description" |
| }, |
| { |
| "id": "science.neural-operators", |
| "query": "\"neural operator\" in:description" |
| }, |
| { |
| "id": "science.ocean-modeling", |
| "query": "\"ocean modeling\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.particle-physics", |
| "query": "\"particle physics\" in:description" |
| }, |
| { |
| "id": "science.photonics", |
| "query": "photonics \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.physics", |
| "query": "physics in:description" |
| }, |
| { |
| "id": "science.physics-informed-neural-networks", |
| "query": "\"physics-informed neural network\" in:description" |
| }, |
| { |
| "id": "science.plasma-physics", |
| "query": "\"plasma physics\" in:description" |
| }, |
| { |
| "id": "science.quantum-materials", |
| "query": "\"quantum materials\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.quantum-physics", |
| "query": "\"quantum many-body\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.remote-sensing", |
| "query": "\"remote sensing\" in:description" |
| }, |
| { |
| "id": "science.scientific-machine-learning", |
| "query": "\"scientific machine learning\" in:readme" |
| }, |
| { |
| "id": "science.seismic", |
| "query": "\"seismic data\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "science.turbulence", |
| "query": "turbulence in:description \"machine learning\"" |
| }, |
| { |
| "id": "science.weather-forecasting", |
| "query": "\"weather forecasting\" climate in:description" |
| }, |
| { |
| "id": "science.weather-nowcasting", |
| "query": "nowcasting in:description \"machine learning\"" |
| }, |
| { |
| "id": "specialized.carbon-footprint-training", |
| "query": "\"carbon footprint\" \"deep learning\" training in:description,readme" |
| }, |
| { |
| "id": "specialized.computational-pathology-ml", |
| "query": "\"computational pathology\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.coreset-selection", |
| "query": "\"coreset selection\" in:description,readme" |
| }, |
| { |
| "id": "specialized.curriculum-learning", |
| "query": "\"curriculum learning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.data-centric-ai", |
| "query": "\"data-centric AI\" in:description,readme" |
| }, |
| { |
| "id": "specialized.data-shapley", |
| "query": "\"data Shapley\" in:description,readme" |
| }, |
| { |
| "id": "specialized.dataset-distillation", |
| "query": "\"dataset distillation\" in:description,readme" |
| }, |
| { |
| "id": "specialized.event-camera-deep-learning", |
| "query": "\"event camera\" \"deep learning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.fmri-decoding-ml", |
| "query": "\"fMRI decoding\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.machine-unlearning", |
| "query": "\"machine unlearning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.mechanistic-interpretability", |
| "query": "\"mechanistic interpretability\" in:description,readme" |
| }, |
| { |
| "id": "specialized.medical-image-registration-deep-learning", |
| "query": "\"medical image registration\" \"deep learning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.pathology-foundation-model", |
| "query": "\"pathology foundation model\" \"machine learning\" in:description,readme" |
| }, |
| { |
| "id": "specialized.spiking-neural-network", |
| "query": "\"spiking neural network\" in:description,readme" |
| }, |
| { |
| "id": "specialized.test-time-adaptation", |
| "query": "\"test-time adaptation\" in:description,readme" |
| }, |
| { |
| "id": "timeseries.anomaly-detection", |
| "query": "\"time series anomaly detection\" in:description" |
| }, |
| { |
| "id": "timeseries.classification", |
| "query": "\"time series classification\" in:description" |
| }, |
| { |
| "id": "timeseries.clustering", |
| "query": "\"time series clustering\" in:description,readme" |
| }, |
| { |
| "id": "timeseries.energy-forecasting", |
| "query": "\"energy forecasting\" in:description" |
| }, |
| { |
| "id": "timeseries.event-forecasting", |
| "query": "\"event forecasting\" in:description" |
| }, |
| { |
| "id": "timeseries.forecasting", |
| "query": "\"time series forecasting\" in:description" |
| }, |
| { |
| "id": "timeseries.foundation-models", |
| "query": "\"time series foundation model\" in:description" |
| }, |
| { |
| "id": "timeseries.imputation", |
| "query": "\"time series imputation\" in:description,readme" |
| }, |
| { |
| "id": "timeseries.long-horizon", |
| "query": "\"long horizon forecasting\" in:readme" |
| }, |
| { |
| "id": "timeseries.multivariate", |
| "query": "\"multivariate time series\" in:description" |
| }, |
| { |
| "id": "timeseries.nbeats", |
| "query": "N-BEATS in:description" |
| }, |
| { |
| "id": "timeseries.patchtst", |
| "query": "PatchTST in:description" |
| }, |
| { |
| "id": "timeseries.predictive-maintenance", |
| "query": "\"predictive maintenance\" in:description" |
| }, |
| { |
| "id": "timeseries.probabilistic-forecasting", |
| "query": "\"probabilistic forecasting\" in:readme" |
| }, |
| { |
| "id": "timeseries.remaining-useful-life", |
| "query": "\"remaining useful life\" in:readme" |
| }, |
| { |
| "id": "timeseries.sensor-data", |
| "query": "\"sensor time series\" in:description" |
| }, |
| { |
| "id": "timeseries.state-space-models", |
| "query": "\"state space model\" in:description" |
| }, |
| { |
| "id": "timeseries.streaming", |
| "query": "\"streaming time series\" in:readme" |
| }, |
| { |
| "id": "timeseries.synthetic-generation", |
| "query": "\"time series generation\" in:description,readme" |
| }, |
| { |
| "id": "timeseries.tabular-foundation-models", |
| "query": "\"tabular foundation model\" in:description,readme" |
| }, |
| { |
| "id": "timeseries.temporal-fusion-transformer", |
| "query": "\"temporal fusion transformer\" in:description" |
| }, |
| { |
| "id": "timeseries.temporal-representation", |
| "query": "\"temporal representation learning\" in:readme" |
| }, |
| { |
| "id": "timeseries.topic", |
| "query": "topic:time-series" |
| }, |
| { |
| "id": "timeseries.traffic-forecasting", |
| "query": "\"traffic forecasting\" in:description" |
| }, |
| { |
| "id": "timeseries.unevenly-spaced", |
| "query": "\"irregular time series\" in:description" |
| }, |
| { |
| "id": "timeseries.weather-forecasting", |
| "query": "\"weather forecasting\" in:description" |
| }, |
| { |
| "id": "trust.adversarial-robustness", |
| "query": "\"adversarial robustness\" in:description" |
| }, |
| { |
| "id": "trust.ai-alignment", |
| "query": "\"AI alignment\" in:description" |
| }, |
| { |
| "id": "trust.ai-safety", |
| "query": "\"AI safety\" in:description" |
| }, |
| { |
| "id": "trust.algorithmic-fairness", |
| "query": "\"algorithmic fairness\" in:description" |
| }, |
| { |
| "id": "trust.algorithmic-recourse", |
| "query": "\"algorithmic recourse\" in:description" |
| }, |
| { |
| "id": "trust.causal-discovery", |
| "query": "\"causal discovery\" in:description" |
| }, |
| { |
| "id": "trust.causal-effect-estimation", |
| "query": "\"causal effect estimation\" in:description" |
| }, |
| { |
| "id": "trust.causal-mediation", |
| "query": "\"causal mediation analysis\" in:description" |
| }, |
| { |
| "id": "trust.causal-ml", |
| "query": "\"causal machine learning\" in:description" |
| }, |
| { |
| "id": "trust.causal-representation-learning", |
| "query": "\"causal representation learning\" in:description" |
| }, |
| { |
| "id": "trust.conformal-prediction", |
| "query": "\"conformal prediction\" in:description" |
| }, |
| { |
| "id": "trust.counterfactual-explanations", |
| "query": "\"counterfactual explanation\" in:description" |
| }, |
| { |
| "id": "trust.differential-privacy", |
| "query": "\"differential privacy\" in:description" |
| }, |
| { |
| "id": "trust.distribution-shift", |
| "query": "\"distribution shift\" in:description" |
| }, |
| { |
| "id": "trust.domain-generalization", |
| "query": "\"domain generalization\" in:description" |
| }, |
| { |
| "id": "trust.explainable-ai", |
| "query": "\"explainable AI\" in:description" |
| }, |
| { |
| "id": "trust.federated-learning", |
| "query": "\"federated learning\" in:description" |
| }, |
| { |
| "id": "trust.instrumental-variable-ml", |
| "query": "\"double machine learning\" in:description" |
| }, |
| { |
| "id": "trust.interpretable-ml", |
| "query": "\"interpretable machine learning\" in:description" |
| }, |
| { |
| "id": "trust.membership-inference", |
| "query": "\"membership inference\" in:description" |
| }, |
| { |
| "id": "trust.ml-fairness", |
| "query": "\"machine learning fairness\" in:description" |
| }, |
| { |
| "id": "trust.model-calibration", |
| "query": "\"model calibration\" in:description" |
| }, |
| { |
| "id": "trust.neuro-symbolic", |
| "query": "\"neuro-symbolic\" in:description" |
| }, |
| { |
| "id": "trust.out-of-distribution-detection", |
| "query": "\"out-of-distribution detection\" in:description" |
| }, |
| { |
| "id": "trust.privacy-preserving-ml", |
| "query": "\"privacy-preserving machine learning\" in:description" |
| }, |
| { |
| "id": "trust.robustness-certification", |
| "query": "\"certified robustness\" in:description" |
| }, |
| { |
| "id": "trust.safe-reinforcement-learning", |
| "query": "\"safe reinforcement learning\" constrained in:description" |
| }, |
| { |
| "id": "trust.shap", |
| "query": "SHAP in:description" |
| }, |
| { |
| "id": "trust.uncertainty-quantification", |
| "query": "\"uncertainty quantification\" in:description" |
| }, |
| { |
| "id": "vision.action-recognition", |
| "query": "\"action recognition\" in:description" |
| }, |
| { |
| "id": "vision.change-detection", |
| "query": "\"change detection\" in:readme" |
| }, |
| { |
| "id": "vision.depth-estimation", |
| "query": "\"depth estimation\" in:readme" |
| }, |
| { |
| "id": "vision.face-recognition", |
| "query": "\"face recognition\" in:readme" |
| }, |
| { |
| "id": "vision.image-captioning", |
| "query": "\"image captioning\" in:readme" |
| }, |
| { |
| "id": "vision.image-classification", |
| "query": "\"image classification\" in:description" |
| }, |
| { |
| "id": "vision.image-diffusion", |
| "query": "\"image diffusion model\" in:readme" |
| }, |
| { |
| "id": "vision.image-restoration", |
| "query": "\"image restoration\" in:readme" |
| }, |
| { |
| "id": "vision.image-retrieval", |
| "query": "\"image retrieval\" in:readme" |
| }, |
| { |
| "id": "vision.image-super-resolution", |
| "query": "\"image super-resolution\" in:readme" |
| }, |
| { |
| "id": "vision.image-to-image-translation", |
| "query": "\"image-to-image translation\" in:readme" |
| }, |
| { |
| "id": "vision.neural-rendering", |
| "query": "\"neural rendering\" in:description" |
| }, |
| { |
| "id": "vision.object-detection", |
| "query": "\"object detection\" in:description" |
| }, |
| { |
| "id": "vision.object-tracking", |
| "query": "\"object tracking\" in:readme" |
| }, |
| { |
| "id": "vision.ocr", |
| "query": "topic:ocr" |
| }, |
| { |
| "id": "vision.open-vocabulary-detection", |
| "query": "\"open-vocabulary detection\" in:readme" |
| }, |
| { |
| "id": "vision.optical-flow", |
| "query": "topic:optical-flow" |
| }, |
| { |
| "id": "vision.pose-estimation", |
| "query": "\"human pose estimation\" in:readme" |
| }, |
| { |
| "id": "vision.promptable-segmentation", |
| "query": "\"promptable segmentation\" in:readme" |
| }, |
| { |
| "id": "vision.segmentation", |
| "query": "\"image segmentation\" in:description" |
| }, |
| { |
| "id": "vision.self-supervised-vision", |
| "query": "\"self-supervised vision\" in:description" |
| }, |
| { |
| "id": "vision.topic-computer-vision", |
| "query": "topic:computer-vision" |
| }, |
| { |
| "id": "vision.video-generation", |
| "query": "\"video generation\" in:readme" |
| }, |
| { |
| "id": "vision.video-understanding", |
| "query": "\"video understanding\" in:readme" |
| }, |
| { |
| "id": "vision.vision-language", |
| "query": "\"vision-language model\" in:readme" |
| }, |
| { |
| "id": "vision.visual-anomaly-detection", |
| "query": "\"visual anomaly detection\" in:readme" |
| }, |
| { |
| "id": "vision.visual-localization", |
| "query": "\"visual localization\" in:readme" |
| } |
| ], |
| "start": "2026-09-24" |
| }, |
| "search_policy_version": 2, |
| "since": "2026-09-24", |
| "until": "2026-09-26", |
| "updated_at": "2026-09-27T14:44:36Z" |
| } |
|
|
