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Deep Learning

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Papers

Why do ASR Systems Despite Neural Nets Still Depend on Robust Features Interspeech 2016 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015 Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation CVPR 2015 Category-Specific Object Reconstruction From a Single Image CVPR 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NeurIPS 2015 Deep Knowledge Tracing NeurIPS 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015 Depth-Based Hand Pose Estimation: Data, Methods, and Challenges ICCV 2015 Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NeurIPS 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 Flowing ConvNets for Human Pose Estimation in Videos ICCV 2015 Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification ICCV 2015 Improving Image Classification With Location Context ICCV 2015 Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015 Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images ICCV 2015 Learning Informative Edge Maps for Indoor Scene Layout Prediction ICCV 2015 Multi-View Convolutional Neural Networks for 3D Shape Recognition ICCV 2015 On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration CVPR 2015 Saliency Detection by Multi-Context Deep Learning CVPR 2015 TILDE: A Temporally Invariant Learned DEtector CVPR 2015 Visual Saliency Based on Multiscale Deep Features CVPR 2015 Avoiding pathologies in very deep networks AISTATS 2014 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014 Deep Networks with Internal Selective Attention through Feedback Connections NeurIPS 2014