Models

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NeurIPS 2017 A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation Interspeech 2017 A Network-based End-to-End Trainable Task-oriented Dialogue System EACL 2017 A Neural Model for Joint Event Detection and Summarization IJCAI 2017 An HMM/DNN Comparison for Synchronized Text-to-Speech and Tongue Motion Synthesis Interspeech 2017 A-NICE-MC: Adversarial Training for MCMC NeurIPS 2017 A Point Set Generation Network for 3D Object Reconstruction From a Single Image CVPR 2017 Asymptotically exact inference in differentiable generative models AISTATS 2017 A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation JMLR 2017 Automatically Generating Rhythmic Verse with Neural Networks ACL 2017 Automatic Differentiation Variational Inference JMLR 2017 Bag of Tricks for Efficient Text Classification EACL 2017 Bayesian Compression for Deep Learning NeurIPS 2017 Bayesian GAN NeurIPS 2017 Bottleneck Conditional Density Estimation ICML 2017 Captioning Images With Diverse Objects CVPR 2017 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Charmanteau: Character Embedding Models For Portmanteau Creation EMNLP 2017 Chunk-based Decoder for Neural Machine Translation ACL 2017 Combating Human Trafficking with Multimodal Deep Models ACL 2017 Compressed Sensing using Generative Models ICML 2017 Concept Equalization to Guide Correct Training of Neural Machine Translation IJCNLP 2017 Conditional Generative Adversarial Nets Classifier for Spoken Language Identification Interspeech 2017 Conditional Generative Adversarial Networks for Commonsense Machine Comprehension IJCAI 2017 Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification Interspeech 2017