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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
Exclusive Lasso for Multi-task Feature Selection AISTATS 2010
Online Learning for Matrix Factorization and Sparse Coding JMLR 2010
Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions JMLR 2010
Bundle Methods for Regularized Risk Minimization JMLR 2010
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010
Classification Using Geometric Level Sets JMLR 2010
Generalized Power Method for Sparse Principal Component Analysis JMLR 2010
Error-Correcting Output Codes Library JMLR 2010
Second-Order Bilinear Discriminant Analysis JMLR 2010
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010
Maximum Relative Margin and Data-Dependent Regularization JMLR 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
Image Denoising with Kernels Based on Natural Image Relations JMLR 2010
On Learning with Integral Operators JMLR 2010
On Spectral Learning JMLR 2010
Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010