Variational Inference

Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 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 Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods ICLR 2019 Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery Interspeech 2019 Better Exploiting Latent Variables in Text Modeling ACL 2019 Beyond Greedy Ranking: Slate Optimization via List-CVAE ICLR 2019 Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables ICML 2019 BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling NeurIPS 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning MIDL 2019 CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network ICML 2019 CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets IJCAI 2019 Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling Interspeech 2019 Combining Sentiment Lexica with a Multi-View Variational Autoencoder NAACL 2019 Conditional Structure Generation through Graph Variational Generative Adversarial Nets NeurIPS 2019 Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis Interspeech 2019 Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders NeurIPS 2019 Controllable Paraphrase Generation with a Syntactic Exemplar ACL 2019 Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents EMNLP 2019 Convolutional Poisson Gamma Belief Network ICML 2019 Copula-like Variational Inference NeurIPS 2019 Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019