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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)

Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation AAAI 2026 TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery CVPR 2026 TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology AAAI 2026 Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026 Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026 Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction AAAI 2026 TopoRec: Point Cloud Recognition Using Topological Data Analysis WACV 2026 Toward Multimodal Fake News Detection by Multi-perspective Rationale Generation and Verification AAAI 2026 Towards a Common Framework for Autoformalization AAAI 2026 Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators AAAI 2026 Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint) AAAI 2026 Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning AAAI 2026 Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance AAAI 2026 Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions JMLR 2026 Towards Data-Efficient Deep Learning for RNA 3D Structure Prediction and Design AAAI 2026 Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images AAAI 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline AAAI 2026 Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance AAAI 2026 Towards Test-time Efficient Visual Place Recognition via Asymmetric Query Processing AAAI 2026 Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing AAAI 2026 TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction AAAI 2026 Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective AAAI 2026