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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
'5
'10
'15
'20
'25

Papers (including subtopics)

An Introduction to Artificial Prediction Markets for Classification JMLR 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 A nonparametric variable clustering model NeurIPS 2012 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 A Polylog Pivot Steps Simplex Algorithm for Classification NeurIPS 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 A Ranking-based KNN Approach for Multi-Label Classification ACML 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012 A systematic approach to extracting semantic information from functional MRI data NeurIPS 2012 A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NeurIPS 2012 A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss JMLR 2012 A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button NeurIPS 2012 Bayesian Classifier Combination AISTATS 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Bayesian Group Factor Analysis AISTATS 2012