Classification

Language classification from bilingual word embedding graphs COLING 2016 Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs Interspeech 2016 Large Margin Discriminant Dimensionality Reduction in Prediction Space NeurIPS 2016 Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016 Large Scale Online Kernel Learning JMLR 2016 Launch and Iterate: Reducing Prediction Churn NeurIPS 2016 Learning Activity Progression in LSTMs for Activity Detection and Early Detection CVPR 2016 Learning and 1-bit Compressed Sensing under Asymmetric Noise COLT 2016 Learning and Inference via Maximum Inner Product Search ICML 2016 Learning Distance Metrics for Multi-Label Classification ACML 2016 Learning Feature Aware Metric ACML 2016 Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs NeurIPS 2016 Learning Physical Intuition of Block Towers by Example ICML 2016 Learning Structured Inference Neural Networks With Label Relations CVPR 2016 Learning Taxonomy Adaptation in Large-scale Classification JMLR 2016 Learning to Identify Sentence Parallelism in Student Essays COLING 2016 Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016 Learning Tree Structured Potential Games NeurIPS 2016 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 Lifelong Learning with Weighted Majority Votes NeurIPS 2016 Linking losses for density ratio and class-probability estimation ICML 2016 LocNet: Improving Localization Accuracy for Object Detection CVPR 2016 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 Log-Linear System Combination Using Structured Support Vector Machines Interspeech 2016 Loss Functions for Top-k Error: Analysis and Insights CVPR 2016