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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)

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Factorized Orthogonal Latent Spaces AISTATS 2010 Fast Active-set-type Algorithms for l1-regularized Linear Regression AISTATS 2010 Fast and Scalable Local Kernel Machines JMLR 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 FastInf: An Efficient Approximate Inference Library JMLR 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Feature Selection using Multiple Streams AISTATS 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Fluid Dynamics Models for Low Rank Discriminant Analysis AISTATS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Gated Softmax Classification NeurIPS 2010 Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010 Gaussian processes with monotonicity information AISTATS 2010 Gaussian sampling by local perturbations NeurIPS 2010 Generalized Power Method for Sparse Principal Component Analysis JMLR 2010 Generating more realistic images using gated MRF's NeurIPS 2010 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010