neural network

Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks CVPR 2016 Learning Deep Structure-Preserving Image-Text Embeddings CVPR 2016 Learning feed-forward one-shot learners NeurIPS 2016 Learning Multiagent Communication with Backpropagation NeurIPS 2016 Learning Neural Network Representations Using Cross-Lingual Bottleneck Features with Word-Pair Information Interspeech 2016 Learning Sensor Multiplexing Design through Back-propagation NeurIPS 2016 Learning Simple Algorithms from Examples ICML 2016 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016 Learning Structured Inference Neural Networks With Label Relations CVPR 2016 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016 Learning the Number of Neurons in Deep Networks NeurIPS 2016 Learning to Match Aerial Images With Deep Attentive Architectures CVPR 2016 Lower Frame Rate Neural Network Acoustic Models Interspeech 2016 Low-Rank Representation of Nearest Neighbor Posterior Probabilities to Enhance DNN Based Acoustic Modeling Interspeech 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Modeling Context-sensitive Selectional Preference with Distributed Representations COLING 2016 Multilingual Data Selection for Low Resource Speech Recognition Interspeech 2016 Network Morphism ICML 2016 Neural Autoregressive Distribution Estimation JMLR 2016 Neural-based Noise Filtering from Word Embeddings COLING 2016 Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NeurIPS 2016 Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition Interspeech 2016 Neural Paraphrase Generation with Stacked Residual LSTM Networks COLING 2016 Neural Variational Inference for Text Processing ICML 2016 Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images CVPR 2016