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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)

Structured Sparse Canonical Correlation Analysis AISTATS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012
Online Clustering with Experts AISTATS 2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012
Protocols for Learning Classifiers on Distributed Data AISTATS 2012
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012
Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012
A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
High-Rank Matrix Completion AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012
Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012
UPAL: Unbiased Pool Based Active Learning AISTATS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012
Locality Preserving Feature Learning AISTATS 2012
Information Theoretic Model Validation for Spectral Clustering AISTATS 2012
Maximum Margin Temporal Clustering AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Subset Infinite Relational Models AISTATS 2012