conftrace_

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

21

30

55

40

51

225

219

249

257

357

364

480

942

818

966

1,394

2,092

3,114

4,415

4,853

5,064

5,371

5,992

6,412

5,823

1,475

2000

'5

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'15

'20

'25

Papers (including subtopics)

Max-margin Classification of Data with Absent Features JMLR 2008 MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NeurIPS 2008 Measures of Clustering Quality: A Working Set of Axioms for Clustering NeurIPS 2008 Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Model Selection in Kernel Based Regression using the Influence Function JMLR 2008 Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Nearly Uniform Validation Improves Compression-Based Error Bounds JMLR 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Nonlinear causal discovery with additive noise models NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Non-Parametric Modeling of Partially Ranked Data JMLR 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Non-parametric Regression Between Manifolds NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Non-stationary dynamic Bayesian networks NeurIPS 2008