multi-class classification

Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling CVPR 2016 Learning Taxonomy Adaptation in Large-scale Classification JMLR 2016 Loss Functions for Top-k Error: Analysis and Insights CVPR 2016 On the Power and Limits of Distance-Based Learning ICML 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Supervised learning through the lens of compression NeurIPS 2016 Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions Interspeech 2016 Variance-Reduced and Projection-Free Stochastic Optimization ICML 2016 Consistent Multiclass Algorithms for Complex Performance Measures ICML 2015 Convex Calibrated Surrogates for Hierarchical Classification ICML 2015 Fusing Subcategory Probabilities for Texture Classification CVPR 2015 Logarithmic Time Online Multiclass prediction NeurIPS 2015 Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015 Multiclass Learnability and the ERM Principle JMLR 2015 Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015 Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NeurIPS 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015 Structural Maxent Models ICML 2015 Top-k Multiclass SVM NeurIPS 2015 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy ICML 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Discriminative Features via Generalized Eigenvectors ICML 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Heterogeneous Domain Adaptation for Multiple Classes AISTATS 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014