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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)

Rectangular Tiling Process ICML 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification ACML 2014 Region-based Discriminative Feature Pooling for Scene Text Recognition CVPR 2014 Relative Parts: Distinctive Parts for Learning Relative Attributes CVPR 2014 Reputation-based Worker Filtering in Crowdsourcing NeurIPS 2014 Restricted Boltzmann machines modeling human choice NeurIPS 2014 Revisiting Stein's Paradox: Multi-Task Averaging JMLR 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Robust 3D Tracking with Descriptor Fields CVPR 2014 Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Robust Classification Under Sample Selection Bias NeurIPS 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014 Robust Forward Algorithms via PAC-Bayes and Laplace Distributions AISTATS 2014 Robust Hierarchical Clustering JMLR 2014 Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NeurIPS 2014 Robust learning of inhomogeneous PMMs AISTATS 2014 Robust Logistic Regression and Classification NeurIPS 2014 Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization JMLR 2014 Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning CVPR 2014 Robust Principal Component Analysis with Complex Noise ICML 2014 Robust Separation of Reflection from Multiple Images CVPR 2014