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Classification

15,805 papers

Papers per year

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Papers

Estimating the accuracies of multiple classifiers without labeled data AISTATS 2015
Robust Cost Sensitive Support Vector Machine AISTATS 2015
A Bayes consistent 1-NN classifier AISTATS 2015
DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015
Deeply-Supervised Nets AISTATS 2015
Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015
Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015
Reactive bandits with attitude AISTATS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Falling Rule Lists AISTATS 2015
Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015
On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015
Efficient Learning of Linear Separators under Bounded Noise COLT 2015
Optimally Combining Classifiers Using Unlabeled Data COLT 2015
Learnability of Solutions to Conjunctive Queries: The Full Dichotomy COLT 2015
A PTAS for Agnostically Learning Halfspaces COLT 2015
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015
Learning and inference in the presence of corrupted inputs COLT 2015
An Almost Optimal PAC Algorithm COLT 2015
Supervised Discrete Hashing CVPR 2015
Leveraging Stereo Matching With Learning-Based Confidence Measures CVPR 2015
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement CVPR 2015