supervised learning

Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning ICCV 2015 Continuous Target Shift Adaptation in Supervised Learning ACML 2015 Deeply-Supervised Nets AISTATS 2015 Enforcing balance allows local supervised learning in spiking recurrent networks NeurIPS 2015 FlowNet: Learning Optical Flow With Convolutional Networks ICCV 2015 From Dependency to Causality: A Machine Learning Approach JMLR 2015 Interactive Control of Diverse Complex Characters with Neural Networks NeurIPS 2015 Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015 Matrix Completion for Resolving Label Ambiguity CVPR 2015 Online Learning via Sequential Complexities JMLR 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Supervised Learning via Euler's Elastica Models JMLR 2015 Teaching Machines to Read and Comprehend NeurIPS 2015 Top Rank Supervised Binary Coding for Visual Search ICCV 2015 Universal Value Function Approximators ICML 2015 Video Summarization by Learning Submodular Mixtures of Objectives CVPR 2015 Deep Convolutional Neural Network for Image Deconvolution NeurIPS 2014 Diverse Sequential Subset Selection for Supervised Video Summarization NeurIPS 2014 General Stochastic Networks for Classification NeurIPS 2014 Gesture Recognition Portfolios for Personalization CVPR 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 To go deep or wide in learning? AISTATS 2014 Classifier Selection using the Predicate Depth JMLR 2013