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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)

DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering AAAI 2026 Draken at SemEval-2026 Task 2: Frozen BERT Embeddings with Ridge Regression for Predicting Emotional Valence and Arousal SemEval 2026 DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026 DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment AAAI 2026 DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026 DSP-PCQA: Integrating Multiple Perception Preferences for Point Cloud Quality Assessment AAAI 2026 DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design AAAI 2026 DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling AAAI 2026 Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care WACV 2026 Dual-Geometry Graph Network: Unifying Local and Global Priors for Few-Shot Learning AAAI 2026 Dual Graph Disambiguation for Multi-Instance Partial-Label Learning AAAI 2026 Dual-Horizon Interest Model for Unified Search and Recommendation AAAI 2026 Dual-Perspective Disentanglement: Learning Symmetric Group-Aware Representations for Cross-Domain Recommendation AAAI 2026 Dual-stream Relation-modeling Disentanglement for Cloth-Changing Person Re-Identification AAAI 2026 Duluth at SemEval-2026 Task 4: A Hybrid Approach to Narrative Similarity using Bi-Encoder Embeddings with Cross-Encoder Tie breaking using Learned Weights SemEval 2026 DVI-DTM: Dual-View Representation Learning for Interpretable Short Text Dynamic Topic Modeling ACL 2026 DVLA: Dynamic VM Lifetime Aware Scheduling for Drifting Lifetime Distributions and Long-Lived VM Placement Debt (Operational Systems) OSDI 2026 DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis AAAI 2026 Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss AAAI 2026 Dynamic Geometric Equivariant Network for Full-Atom Antibody Design AAAI 2026 DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior AAAI 2026 Dynamics-Aware Planning Representation for Zero-Shot Reinforcement Learning (Student Abstract) AAAI 2026 Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception AAAI 2026 Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks AAAI 2026 EC-MVSNet: Enhanced Cascaded Multi-View Stereo with Cross-Scale Relevance Integration AAAI 2026