Variational Inference

Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020 Multilinear Latent Conditioning for Generating Unseen Attribute Combinations ICML 2020 Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments CoRL 2020 Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence NeurIPS 2020 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NeurIPS 2020 Narrative Text Generation with a Latent Discrete Plan EMNLP 2020 NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020 Neural Decomposition: Functional ANOVA with Variational Autoencoders AISTATS 2020 Neural Mixed Counting Models for Dispersed Topic Discovery ACL 2020 Nonlinear System Identification via Tensor Completion AAAI 2020 Nonparallel Emotional Speech Conversion Using VAE-GAN Interspeech 2020 NVAE: A Deep Hierarchical Variational Autoencoder NeurIPS 2020 On casting importance weighted autoencoder to an EM algorithm to learn deep generative models AISTATS 2020 On Implicit Regularization in $β$-VAEs ICML 2020 On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020 On the Expressiveness of Approximate Inference in Bayesian Neural Networks NeurIPS 2020 Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space EMNLP 2020 Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator UAI 2020 PatchVAE: Learning Local Latent Codes for Recognition CVPR 2020 Perceptual Generative Autoencoders ICML 2020 Planning from Images with Deep Latent Gaussian Process Dynamics L4DC 2020 PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable ACL 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020 Prediction of Head Motion from Speech Waveforms with a Canonical-Correlation-Constrained Autoencoder Interspeech 2020