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Multi-Class Classification

72 directly classified papers

Papers per year

Papers

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression IJCAI 2017
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels JMLR 2017
A Unified View on Multi-class Support Vector Classification JMLR 2016
Assortment Optimization Under the Mallows model NIPS 2016
Top-k Multiclass SVM NIPS 2015
Multi-Class Deep Boosting NIPS 2014
Training Highly Multiclass Classifiers JMLR 2014
On Flat versus Hierarchical Classification in Large-Scale Taxonomies NIPS 2013
Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013
Sparse Output Coding for Large-Scale Visual Recognition CVPR 2013
Multiclass Learning Approaches: A Theoretical Comparison with Implications NIPS 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Classification Calibration Dimension for General Multiclass Losses NIPS 2012
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011
Online Classification with Specificity Constraints NIPS 2010
A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
Distribution-Calibrated Hierarchical Classification NIPS 2009
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
Active Learning to Recognize Multiple Types of Plankton JMLR 2005
Round Robin Classification JMLR 2002