Deep Learning

Disease Trajectory Maps NeurIPS 2016 Disentangling factors of variation in deep representation using adversarial training NeurIPS 2016 Distance Metric Learning for Aspect Phrase Grouping COLING 2016 Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition Interspeech 2016 Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016 DNN-Based Amplitude and Phase Feature Enhancement for Noise Robust Speaker Identification Interspeech 2016 DNN-Based Automatic Speech Recognition as a Model for Human Phoneme Perception Interspeech 2016 DNN-Based Feature Enhancement Using Joint Training Framework for Robust Multichannel Speech Recognition Interspeech 2016 DNN Online with iVectors Acoustic Modeling and Doc2Vec Distributed Representations for Improving Automated Speech Scoring Interspeech 2016 DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data Interspeech 2016 Do Computational Models Differ Systematically From Human Object Perception? CVPR 2016 Doctor AI: Predicting Clinical Events via Recurrent Neural Networks MLHC 2016 Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras CVPR 2016 Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding Interspeech 2016 Domain Separation Networks NeurIPS 2016 Doubly Convolutional Neural Networks NeurIPS 2016 Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016 Dropout distillation ICML 2016 d-VMP: Distributed Variational Message Passing PGM 2016 Dynamic Capacity Networks ICML 2016 Dynamic Filter Networks NeurIPS 2016 Dynamic Image Networks for Action Recognition CVPR 2016 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016