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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)

Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 Sparse Spectrum Gaussian Process Regression JMLR 2010 Spatial and anatomical regularization of SVM for brain image analysis NeurIPS 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Sphere Embedding: An Application to Part-of-Speech Induction NeurIPS 2010 Spike timing-dependent plasticity as dynamic filter NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010 Static Analysis of Binary Executables Using Structural SVMs NeurIPS 2010 Stochastic Composite Likelihood JMLR 2010 Structural epitome: a way to summarize one’s visual experience NeurIPS 2010 Structured Determinantal Point Processes NeurIPS 2010 Structured Prediction Cascades AISTATS 2010 Structured Sparse Principal Component Analysis AISTATS 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 Supervised Clustering NeurIPS 2010 Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010 Switched Latent Force Models for Movement Segmentation NeurIPS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 The Coding Divergence for Measuring the Complexity of Separating Two Sets ACML 2010