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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)

Second Order Bilinear Discriminant Analysis for single trial EEG analysis NeurIPS 2007 Semantic Modeling of Places using Objects RSS 2007 Semi-Supervised Multitask Learning NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 Spatial Latent Dirichlet Allocation NeurIPS 2007 Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007 Stagewise Lasso JMLR 2007 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007 Structure and Majority Classes in Decision Tree Learning JMLR 2007 Structured Learning with Approximate Inference NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Supervised Topic Models NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 The discriminant center-surround hypothesis for bottom-up saliency NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Generalized FITC Approximation NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 The Pyramid Match Kernel: Efficient Learning with Sets of Features JMLR 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007