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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
The Most Generative Maximum Margin Bayesian Networks
ICML 2013
Top-down particle filtering for Bayesian decision trees
ICML 2013
Efficient Multi-label Classification with Many Labels
ICML 2013
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
ICML 2013
Online Kernel Learning with a Near Optimal Sparsity Bound
ICML 2013
Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training
ICML 2013
Sharp Generalization Error Bounds for Randomly-projected Classifiers
ICML 2013
Exact Rule Learning via Boolean Compressed Sensing
ICML 2013
Consistency versus Realizable H-Consistency for Multiclass Classification
ICML 2013
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
ICML 2013
Learning Convex QP Relaxations for Structured Prediction
ICML 2013
Mini-Batch Primal and Dual Methods for SVMs
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
Selective sampling algorithms for cost-sensitive multiclass prediction
ICML 2013
Maxout Networks
ICML 2013
Learning Policies for Contextual Submodular Prediction
ICML 2013
Safe Screening of Non-Support Vectors in Pathwise SVM Computation
ICML 2013
Cost-sensitive Multiclass Classification Risk Bounds
ICML 2013
On the Sample Complexity of Robust PCA
NIPS 2012
The Lovász ϑ function, SVMs and finding large dense subgraphs
NIPS 2012
Automatic Feature Induction for Stagewise Collaborative Filtering
NIPS 2012
Active Comparison of Prediction Models
NIPS 2012
Reducing statistical time-series problems to binary classification
NIPS 2012
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
NIPS 2012
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