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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)

Point Cloud Semantic Scene Completion with Prototype-Guided Transformer AAAI 2026 Points Meet Pixels: Bridging 2D Vision-Language Model and 3D Perception Gaps for Point Cloud Quality Assessment AAAI 2026 Point-SRA: Self-Representation Alignment for 3D Representation Learning AAAI 2026 Policy-Based Trajectory Clustering in Offline Reinforcement Learning UAI 2026 Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices WACV 2026 Polysemic Semantic Instance Network for Cross-Modal Hashing AAAI 2026 Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End? AAAI 2026 Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes UAI 2026 Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments UAI 2026 Posterior Label Smoothing for Node Classification AAAI 2026 Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis AAAI 2026 PPGPT: Transferring Next-Token Modeling from Language to PPG Signals AAAI 2026 Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs ACL 2026 Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract) AAAI 2026 Predicting Task fMRI Contrasts from Resting-State fMRI Using Sparse 3D Convolutions WACV 2026 Predicting the Future by Retrieving the Past AAAI 2026 Prediction of Hospital Associated Infections During Continuous Hospital Stays AAAI 2026 PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026 PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs WACV 2026 Private Linear Regression via a Down-Sensitivity to Privacy Reduction COLT 2026 Probabilistic Deformation Consistency for Unsupervised Shape Matching AAAI 2026 Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula JMLR 2026 Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026