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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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'15
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'25

Papers (including subtopics)

Getting lost in space: Large sample analysis of the resistance distance NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010 Graph Kernels JMLR 2010 Graph-Valued Regression NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Guarantees for Approximate Incremental SVMs AISTATS 2010 Half Transductive Ranking AISTATS 2010 Hartigan’s Method: k-means Clustering without Voronoi AISTATS 2010 Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 Hierarchical Gaussian Process Regression ACML 2010 High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010 High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency JMLR 2010 Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010 HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010 How to Explain Individual Classification Decisions JMLR 2010 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NeurIPS 2010 Image Denoising with Kernels Based on Natural Image Relations JMLR 2010 Implicit Differentiation by Perturbation NeurIPS 2010