Models

A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders Interspeech 2019 A Style-Based Generator Architecture for Generative Adversarial Networks CVPR 2019 A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019 Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance NeurIPS 2019 A System for Diacritizing Four Varieties of Arabic EMNLP 2019 Attentive State-Space Modeling of Disease Progression NeurIPS 2019 Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks CVPR 2019 Attribute Manipulation Generative Adversarial Networks for Fashion Images ICCV 2019 Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints ICCV 2019 Auto-Encoding Scene Graphs for Image Captioning CVPR 2019 Auto-Encoding Total Correlation Explanation AISTATS 2019 Auto-Encoding Variational Neural Machine Translation ACL 2019 Automatic Argument Quality Assessment - New Datasets and Methods EMNLP 2019 Autoregressive Text Generation Beyond Feedback Loops EMNLP 2019 AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019 Auxiliary Variational MCMC ICLR 2019 A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019 A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019 A Variational Inequality Perspective on Generative Adversarial Networks ICLR 2019 Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019 Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019 Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling ACL 2019 Bayesian Deep Collaborative Matrix Factorization AAAI 2019 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CoRL 2019