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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)

The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R JMLR 2015 The Human Kernel NeurIPS 2015 The Kendall and Mallows Kernels for Permutations ICML 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015 Theory of Dual-sparse Regularized Randomized Reduction ICML 2015 The Poisson Gamma Belief Network NeurIPS 2015 The Randomized Causation Coefficient JMLR 2015 The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015 The Self-Normalized Estimator for Counterfactual Learning NeurIPS 2015 The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose CVPR 2015 The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015 Three Viewpoints Toward Exemplar SVM CVPR 2015 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 Top-k Multiclass SVM NeurIPS 2015 Top Rank Supervised Binary Coding for Visual Search ICCV 2015 Towards a Learning Theory of Cause-Effect Inference ICML 2015 Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing ICML 2015 Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015 Towards Open World Recognition CVPR 2015 Toward User-Specific Tracking by Detection of Human Shapes in Multi-Cameras CVPR 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015 Training Very Deep Networks NeurIPS 2015 Transformation-Invariant Convolutional Jungles CVPR 2015