Neural Networks

An Improved Deep Learning Architecture for Person Re-Identification CVPR 2015 A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis ICCV 2015 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 Associative Memory via a Sparse Recovery Model NeurIPS 2015 AttentionNet: Aggregating Weak Directions for Accurate Object Detection ICCV 2015 Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NeurIPS 2015 A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes ACML 2015 Backpropagation for Energy-Efficient Neuromorphic Computing NeurIPS 2015 Beyond Short Snippets: Deep Networks for Video Classification CVPR 2015 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 Character-level Convolutional Networks for Text Classification NeurIPS 2015 Compressing Neural Networks with the Hashing Trick ICML 2015 Compression Artifacts Reduction by a Deep Convolutional Network ICCV 2015 Conditional Convolutional Neural Network for Modality-Aware Face Recognition ICCV 2015 Conditional Random Fields as Recurrent Neural Networks ICCV 2015 Conditioned Regression Models for Non-Blind Single Image Super-Resolution ICCV 2015 Contractive Rectifier Networks for Nonlinear Maximum Margin Classification ICCV 2015 Convolutional Color Constancy ICCV 2015 Convolutional Feature Masking for Joint Object and Stuff Segmentation CVPR 2015 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 Convolutional Sparse Coding for Image Super-Resolution ICCV 2015 Cross-Scene Crowd Counting via Deep Convolutional Neural Networks CVPR 2015 Deep Colorization ICCV 2015 DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection CVPR 2015 Deep Convolutional Neural Fields for Depth Estimation From a Single Image CVPR 2015