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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)

Non-parametric learning to aid path planning over slopes RSS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 On Efficient Large Margin Semisupervised Learning: Method and Theory JMLR 2009 On Invariance in Hierarchical Models NeurIPS 2009 On Learning Rotations NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Particle Swarm Model Selection JMLR 2009 Periodic Step Size Adaptation for Single Pass On-line Learning NeurIPS 2009 Polynomial-Delay Enumeration of Monotonic Graph Classes JMLR 2009 Polynomial Semantic Indexing NeurIPS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Properties of Monotonic Effects on Directed Acyclic Graphs JMLR 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009