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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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'25

Papers (including subtopics)

Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Label Relation Graphs With Ising Models ICCV 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes ICCV 2015 Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015 Projection Onto the Manifold of Elongated Structures for Accurate Extraction ICCV 2015 Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach ICML 2015 Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015 PU Learning for Matrix Completion ICML 2015 Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA ICML 2015 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015 Query Adaptive Similarity Measure for RGB-D Object Recognition ICCV 2015 Rademacher Observations, Private Data, and Boosting ICML 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Random Tree Walk Toward Instantaneous 3D Human Pose Estimation CVPR 2015 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Rate-Agnostic (Causal) Structure Learning NeurIPS 2015 Reactive bandits with attitude AISTATS 2015 Recognize Complex Events From Static Images by Fusing Deep Channels CVPR 2015 Recognizing retinal ganglion cells in the dark NeurIPS 2015 Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset) CVPR 2015 Rectified Factor Networks NeurIPS 2015 Recurrent Network Models for Human Dynamics ICCV 2015 Reflectance Hashing for Material Recognition CVPR 2015 Reflection Removal Using Ghosting Cues CVPR 2015