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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)

Edge-Centric Relational Reasoning for 3D Scene Graph Prediction AAAI 2026 EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification AAAI 2026 Efficient Confidence Set Enumeration for Multi-label Conformal Classification UAI 2026 Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors JMLR 2026 Efficient Learning and Symmetry Discovery under Exact Invariances COLT 2026 Efficiently Computing Compact Formal Explanations AAAI 2026 Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets AAAI 2026 Efficient Post-Training Refinement of Latent Reasoning in Large Language Models AAAI 2026 Efficient Rule Induction by Ignoring Pointless Rules AAAI 2026 Efficient State and Parameter Estimation of Nonlinear State-Space Models through Probabilistic Optimal Control L4DC 2026 Efficient Swap Multicalibration of Elicitable Properties COLT 2026 Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data AAAI 2026 Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models AAAI 2026 EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding AAAI 2026 Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data COLT 2026 Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026 EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026 Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference JMLR 2026 Embracing Positional Bias in Multiple-Choice Question Answering via Permutation Equivariant Neural Networks AAAI 2026 EmbryoDiff: A Conditional Diffusion Framework with Multi-Focal Feature Fusion for Fine-Grained Embryo Developmental Stage Recognition AAAI 2026 ENCORE : A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks WACV 2026 ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models AAAI 2026 Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition AAAI 2026 End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering AAAI 2026 End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026