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Methodology
← Core Methods
Machine Learning
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Core Methods
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Classification
15289 directly classified papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching
COLT 2013
Sparse Uncorrelated Linear Discriminant Analysis
ICML 2013
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
ICML 2013
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
ICML 2013
Convex formulations of radius-margin based Support Vector Machines
ICML 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
ICML 2013
Learning Optimally Sparse Support Vector Machines
ICML 2013
Efficient Sparse Group Feature Selection via Nonconvex Optimization
ICML 2013
Feature Selection in High-Dimensional Classification
ICML 2013
Human Boosting
ICML 2013
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
ICML 2013
Efficient Active Learning of Halfspaces: an Aggressive Approach
ICML 2013
Adaptive Task Assignment for Crowdsourced Classification
ICML 2013
Vanishing Component Analysis
ICML 2013
Robust Structural Metric Learning
ICML 2013
Convex Adversarial Collective Classification
ICML 2013
Rounding Methods for Discrete Linear Classification
ICML 2013
Distributed training of Large-scale Logistic models
ICML 2013
Activized Learning with Uniform Classification Noise
ICML 2013
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
ICML 2013
Hierarchical Regularization Cascade for Joint Learning
ICML 2013
Multi-Class Classification with Maximum Margin Multiple Kernel
ICML 2013
Inference algorithms for pattern-based CRFs on sequence data
ICML 2013
One-Bit Compressed Sensing: Provable Support and Vector Recovery
ICML 2013
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
ICML 2013
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