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Deep Learning

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Papers

Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference CVPR 2014 General Stochastic Networks for Classification NeurIPS 2014 Learning by Stretching Deep Networks ICML 2014 Learning Generative Models with Visual Attention NeurIPS 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Scalable Object Detection using Deep Neural Networks CVPR 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 Adaptive dropout for training deep neural networks NeurIPS 2013 Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NeurIPS 2013 Compete to Compute NeurIPS 2013 Deep content-based music recommendation NeurIPS 2013 Deep Neural Networks for Object Detection NeurIPS 2013 Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? ICCV 2013 Discriminative Non-blind Deblurring CVPR 2013 Hybrid Deep Learning for Face Verification ICCV 2013 Joint Deep Learning for Pedestrian Detection ICCV 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Multi-stage Contextual Deep Learning for Pedestrian Detection ICCV 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 Understanding Dropout NeurIPS 2013 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012