Techniques

Multi-Attribute Factorized Hidden Layer Adaptation for DNN Acoustic Models Interspeech 2016 Multi-Bias Non-linear Activation in Deep Neural Networks ICML 2016 Multilingual Data Selection for Low Resource Speech Recognition Interspeech 2016 Multimodal Residual Learning for Visual QA NeurIPS 2016 Neural Module Networks CVPR 2016 NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition Interspeech 2016 Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks ICML 2016 On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement Interspeech 2016 On the Efficient Representation and Execution of Deep Acoustic Models Interspeech 2016 Optimal Architectures in a Solvable Model of Deep Networks NeurIPS 2016 PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NeurIPS 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Realistic Multi-Microphone Data Simulation for Distant Speech Recognition Interspeech 2016 Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016 Recurrent Attention Models for Depth-Based Person Identification CVPR 2016 Recurrent Dropout without Memory Loss COLING 2016 Recursive Recurrent Nets With Attention Modeling for OCR in the Wild CVPR 2016 Refining Architectures of Deep Convolutional Neural Networks CVPR 2016 Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016 RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NeurIPS 2016 Semantic Object Parsing With Local-Global Long Short-Term Memory CVPR 2016 Sequence Student-Teacher Training of Deep Neural Networks Interspeech 2016 SoundNet: Learning Sound Representations from Unlabeled Video NeurIPS 2016 Sound Pattern Matching for Automatic Prosodic Event Detection Interspeech 2016 Sparsifying Neural Network Connections for Face Recognition CVPR 2016