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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)

Kernelized Bayesian Matrix Factorization ICML 2013
Learning the Structure of Sum-Product Networks ICML 2013
Quantile Regression for Large-scale Applications ICML 2013
Robust Regression on MapReduce ICML 2013
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013
One-Pass AUC Optimization ICML 2013
Learning Convex QP Relaxations for Structured Prediction ICML 2013
Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013
Natural Image Bases to Represent Neuroimaging Data ICML 2013
Breaking the Small Cluster Barrier of Graph Clustering ICML 2013
Mini-Batch Primal and Dual Methods for SVMs ICML 2013
The lasso, persistence, and cross-validation ICML 2013
Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013
Distribution to Distribution Regression ICML 2013
Anytime Representation Learning ICML 2013
Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
Intersecting singularities for multi-structured estimation ICML 2013
Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013
Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events ICML 2013
Smooth Operators ICML 2013
Topic Discovery through Data Dependent and Random Projections ICML 2013
Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013