Variational Inference

A Deep Factorization of Style and Structure in Fonts EMNLP 2019 A Deep Generative Model for Code Switched Text IJCAI 2019 A Discrete CVAE for Response Generation on Short-Text Conversation EMNLP 2019 Adversarial Imitation via Variational Inverse Reinforcement Learning ICLR 2019 Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019 AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches AAAI 2019 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations NAACL 2019 A New Distribution on the Simplex with Auto-Encoding Applications NeurIPS 2019 An Instability in Variational Inference for Topic Models ICML 2019 A Paraphrase Generation System for EHR Question Answering ACL 2019 A Primal-Dual link between GANs and Autoencoders NeurIPS 2019 A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NeurIPS 2019 ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks ICLR 2019 A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation EMNLP 2019 A Simple Baseline for Bayesian Uncertainty in Deep Learning NeurIPS 2019 A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders Interspeech 2019 A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019 Attentive State-Space Modeling of Disease Progression NeurIPS 2019 Auto-Encoding Total Correlation Explanation AISTATS 2019 Auto-Encoding Variational Neural Machine Translation ACL 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