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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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Papers (including subtopics)

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification CVPR 2024 Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer NeurIPS 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data ICML 2024 Prototype Learning for Explainable Brain Age Prediction WACV 2024 Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery NeurIPS 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Provable Compositional Generalization for Object-Centric Learning ICLR 2024 Provable local learning rule by expert aggregation for a Hawkes network AISTATS 2024 Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks ICML 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 Providing Fair Recourse over Plausible Groups AAAI 2024 Proving Olympiad Algebraic Inequalities without Human Demonstrations NeurIPS 2024 ProxyFusion: Face Feature Aggregation Through Sparse Experts NeurIPS 2024 Pruning is Optimal for Learning Sparse Features in High-Dimensions COLT 2024 PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization COLING 2024 PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation NeurIPS 2024 pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation WACV 2024 Psychometric Predictive Power of Large Language Models NAACL 2024 Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity CVPR 2024 PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling EMNLP 2024