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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)

Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal AAAI 2026 Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models EACL 2026 Revisiting an Old Perspective Projection for Monocular 3D Morphable Models Regression WACV 2026 Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026 Revisiting F-measure Optimization in Multi-Label Classification: A Sampling-based Approach CVPR 2026 Revisiting MLLM Based Image Quality Assessment: Errors and Remedy AAAI 2026 Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction AAAI 2026 Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning CVPR 2026 Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment WACV 2026 Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting AAAI 2026 Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release WACV 2026 RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework CVPR 2026 Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction AAAI 2026 Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations AAAI 2026 Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation AAAI 2026 RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting AAAI 2026 Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (Extended Abstract) COLT 2026 RMLer: Synthesizing Novel Objects Across Diverse Categories via Reinforcement Mixing Learning AAAI 2026 RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design AAAI 2026 Robust Detection of Synthetic Tabular Data Under Schema Variability AAAI 2026 Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction AAAI 2026 Robust estimation of graphical models with measurement error: False discovery control and sensitivity analysis UAI 2026 Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization AAAI 2026 Robust Multimodal Emotion Recognition from Incomplete Modalities via Query-Based Unimodal and Cross-Modal Learning WACV 2026 Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection UAI 2026