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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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'25

Papers (including subtopics)

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement NeurIPS 2023 Reward Imputation with Sketching for Contextual Batched Bandits NeurIPS 2023 RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary ICCV 2023 RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering ACL 2023 RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023 RGMIL: Guide Your Multiple-Instance Learning Model with Regressor NeurIPS 2023 RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy NeurIPS 2023 RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023 RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors CVPR 2023 Riemannian Local Mechanism for SPD Neural Networks AAAI 2023 Riemannian Metric Learning via Optimal Transport ICLR 2023 Riemannian Residual Neural Networks NeurIPS 2023 RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow WACV 2023 Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023 RILS: Masked Visual Reconstruction in Language Semantic Space CVPR 2023 Risk-aware linear bandits with convex loss AISTATS 2023 Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023 RoBoCoP: A Comprehensive ROmance BOrrowing COgnate Package and Benchmark for Multilingual Cognate Identification EMNLP 2023 Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence CVPR 2023 Robust 3D Shape Classification via Non-Local Graph Attention Network CVPR 2023 Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023 Robust and Controllable Object-Centric Learning through Energy-based Models ICLR 2023 Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023 Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023 Robust-by-Design Classification via Unitary-Gradient Neural Networks AAAI 2023