deep learning

Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 Zero-Shot Learning Through Cross-Modal Transfer NeurIPS 2013 Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images NeurIPS 2012 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Learning for Efficient Discriminative Parsing AISTATS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Understanding the difficulty of training deep feedforward neural networks AISTATS 2010 Why Does Unsupervised Pre-training Help Deep Learning? AISTATS 2010 Kernel Methods for Deep Learning NeurIPS 2009 Greedy Layer-Wise Training of Deep Networks NeurIPS 2006 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003