Variational Inference

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow EMNLP 2019 Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019 FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019 Function Space Particle Optimization for Bayesian Neural Networks ICLR 2019 F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019 Generating Chinese Ci with Designated Metrical Structure AAAI 2019 Geometric Disentanglement for Generative Latent Shape Models ICCV 2019 Good Initializations of Variational Bayes for Deep Models ICML 2019 Graphite: Iterative Generative Modeling of Graphs ICML 2019 Group-based Learning of Disentangled Representations with Generalizability for Novel Contents IJCAI 2019 Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion Interspeech 2019 Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019 Hierarchical Importance Weighted Autoencoders ICML 2019 Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction CVPR 2019 Hierarchy Response Learning for Neural Conversation Generation EMNLP 2019 Hybrid Models with Deep and Invertible Features ICML 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Implicit Generation and Modeling with Energy Based Models NeurIPS 2019 Importance Weighted Hierarchical Variational Inference NeurIPS 2019 Improved Conditional VRNNs for Video Prediction ICCV 2019 Improving Textual Network Learning with Variational Homophilic Embeddings NeurIPS 2019 Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation Interspeech 2019