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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)

Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization ICML 2025 ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning CVPR 2025 Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection AAAI 2025 Reconstructing Animals and the Wild CVPR 2025 Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning ICML 2025 Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency ICLR 2025 Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning AAAI 2025 Reconstructive Visual Instruction Tuning ICLR 2025 Recovering Labels from Crowdsourced Data: an Optimal and Polynomial-Time Method COLT 2025 Recovering Manifold Structure Using Ollivier Ricci Curvature ICLR 2025 Recovering Parametric Scenes from Very Few Time-of-Flight Pixels ICCV 2025 Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks AAAI 2025 Rectifying Conformity Scores for Better Conditional Coverage ICML 2025 Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval CVPR 2025 Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation CVPR 2025 Redefining the task of Bioactivity Prediction ICLR 2025 ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media EMNLP 2025 RedHerring Attack: Testing the Reliability of Attack Detection EMNLP 2025 Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025 Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport ICML 2025 Reducing Divergence in Batch Normalization for Domain Adaptation AAAI 2025 Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025 Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs ICML 2025 REEF: Representation Encoding Fingerprints for Large Language Models ICLR 2025 Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025