deep network

Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018 Shape From Shading Through Shape Evolution CVPR 2018 Skip Connections Eliminate Singularities ICLR 2018 Surprising properties of dropout in deep networks JMLR 2018 The emergence of spectral universality in deep networks AISTATS 2018 Think Visually: Question Answering through Virtual Imagery ACL 2018 Variational Inference based on Robust Divergences AISTATS 2018 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching CVPR 2017 Classification and Representation Joint Learning via Deep Networks IJCAI 2017 Compression-aware Training of Deep Networks NeurIPS 2017 Deep Sets NeurIPS 2017 Exploring Generalization in Deep Learning NeurIPS 2017 Highway-LSTM and Recurrent Highway Networks for Speech Recognition Interspeech 2017 Image Super-Resolution via Deep Recursive Residual Network CVPR 2017 Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization CVPR 2017 Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps CVPR 2017 Multiple People Tracking by Lifted Multicut and Person Re-Identification CVPR 2017 Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017 Surprising properties of dropout in deep networks COLT 2017 The Incremental Multiresolution Matrix Factorization Algorithm CVPR 2017 Direct Feedback Alignment Provides Learning in Deep Neural Networks NeurIPS 2016 Gaussian Conditional Random Field Network for Semantic Segmentation CVPR 2016 Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016 How Deep is the Feature Analysis underlying Rapid Visual Categorization? NeurIPS 2016 Learnable Visual Markers NeurIPS 2016