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Deep Learning

1752 directly classified papers

Papers per year

Papers

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations NIPS 2015
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NIPS 2015
Deep Knowledge Tracing NIPS 2015
Visual Saliency Based on Multiscale Deep Features CVPR 2015
TILDE: A Temporally Invariant Learned DEtector CVPR 2015
On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration CVPR 2015
Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation CVPR 2015
Category-Specific Object Reconstruction From a Single Image CVPR 2015
Saliency Detection by Multi-Context Deep Learning CVPR 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges ICCV 2015
Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification ICCV 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015
Improving Image Classification With Location Context ICCV 2015
Multi-View Convolutional Neural Networks for 3D Shape Recognition ICCV 2015
Searching for Higgs Boson Decay Modes with Deep Learning NIPS 2014
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference CVPR 2014
Scalable Object Detection using Deep Neural Networks CVPR 2014
Avoiding pathologies in very deep networks AISTATS 2014
Learning by Stretching Deep Networks ICML 2014
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
LSDA: Large Scale Detection through Adaptation NIPS 2014
Learning Generative Models with Visual Attention NIPS 2014