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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)

Adaptive Belief Propagation ICML 2015 Adaptive Hashing for Fast Similarity Search ICCV 2015 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NeurIPS 2015 Adaptively Unified Semi-Supervised Dictionary Learning With Active Points ICCV 2015 Adaptive Recovery of Signals by Convex Optimization COLT 2015 Adaptive Region Pooling for Object Detection CVPR 2015 Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015 A Data-Driven Metric for Comprehensive Evaluation of Saliency Models ICCV 2015 Additive Nearest Neighbor Feature Maps ICCV 2015 A Deeper Look at Planning as Learning from Replay ICML 2015 A Deep Visual Correspondence Embedding Model for Stereo Matching Costs ICCV 2015 A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data ICML 2015 A Direct Estimation of High Dimensional Stationary Vector Autoregressions JMLR 2015 A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015 A Divide and Conquer Framework for Distributed Graph Clustering ICML 2015 A Dual Augmented Block Minimization Framework for Learning with Limited Memory NeurIPS 2015 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015 A fast, universal algorithm to learn parametric nonlinear embeddings NeurIPS 2015 A Finite Sample Analysis of the Naive Bayes Classifier JMLR 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 Aggregating Local Deep Features for Image Retrieval ICCV 2015 Agnostic Learning of Disjunctions on Symmetric Distributions JMLR 2015 A Graphical Model Approach for Matching Partial Signatures CVPR 2015 A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015 A Groupwise Multilinear Correspondence Optimization for 3D Faces ICCV 2015