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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
'5
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'15
'20
'25

Papers (including subtopics)

Learning Clustering-based Prototypes for Compositional Zero-Shot Learning ICLR 2025 Learning Color Equivariant Representations ICLR 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification ICML 2025 Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization AAAI 2025 Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction ICML 2025 Learning conditional distributions on continuous spaces JMLR 2025 Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning CVPR 2025 Learning Contextual Retrieval for Robust Conversational Search EMNLP 2025 Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses AAAI 2025 Learning Curves of Stochastic Gradient Descent in Kernel Regression ICML 2025 Learning Deep Illumination-Robust Features from Multispectral Filter Array Images WACV 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 Learning Distances from Data with Normalizing Flows and Score Matching ICML 2025 Learning Distribution-wise Control in Representation Space for Language Models ICML 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval AAAI 2025 Learning Efficient and Generalizable Human Representation with Human Gaussian Model ICCV 2025 Learning Efficient Positional Encodings with Graph Neural Networks ICLR 2025 Learning Equivariant Non-Local Electron Density Functionals ICLR 2025 Learning Extremely High Density Crowds as Active Matters CVPR 2025 Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination AAAI 2025 Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval ICLR 2025 Learning First-Order Logic Rules for Argumentation Mining ACL 2025 Learning from End User Data with Shuffled Differential Privacy over Kernel Densities ICLR 2025 Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery ACL 2025