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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Distribution to Distribution Regression ICML 2013
Regularization of Neural Networks using DropConnect ICML 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013
Anytime Representation Learning ICML 2013
Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013
Top-k Selection based on Adaptive Sampling of Noisy Preferences ICML 2013
Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
On the importance of initialization and momentum in deep learning 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
The Cross-Entropy Method Optimizes for Quantiles ICML 2013
Topic Discovery through Data Dependent and Random Projections ICML 2013
Bayesian Learning of Recursively Factored Environments ICML 2013
Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013
The Bigraphical Lasso ICML 2013
Almost Optimal Exploration in Multi-Armed Bandits ICML 2013
Deep Canonical Correlation Analysis ICML 2013
Consistency of Online Random Forests ICML 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013
Fast Image Tagging ICML 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013