Deep Learning

Deep learning with Elastic Averaging SGD NeurIPS 2015 Deep Learning with Limited Numerical Precision ICML 2015 Deeply Learned Attributes for Crowded Scene Understanding CVPR 2015 Deeply Learned Face Representations Are Sparse, Selective, and Robust CVPR 2015 Deeply Learning the Messages in Message Passing Inference NeurIPS 2015 Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015 Deep Networks for Image Super-Resolution With Sparse Prior ICCV 2015 Deep Networks for Saliency Detection via Local Estimation and Global Search CVPR 2015 Deep Neural Decision Forests ICCV 2015 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 Deep Poisson Factor Modeling NeurIPS 2015 DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers ICCV 2015 Deep Roto-Translation Scattering for Object Classification CVPR 2015 Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval CVPR 2015 DeepShape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval CVPR 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Deep Unsupervised Learning using Nonequilibrium Thermodynamics ICML 2015 Deep Visual Analogy-Making NeurIPS 2015 Deep Visual-Semantic Alignments for Generating Image Descriptions CVPR 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015 Dense Optical Flow Prediction From a Static Image ICCV 2015 Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015 Depth-Based Hand Pose Estimation: Data, Methods, and Challenges ICCV 2015 Describing Videos by Exploiting Temporal Structure ICCV 2015 Designing Deep Networks for Surface Normal Estimation CVPR 2015