Variational Inference

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021 Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces ICCV 2021 TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021 Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021 The role of Disentanglement in Generalisation ICLR 2021 Topic Modeling Revisited: A Document Graph-based Neural Network Perspective NeurIPS 2021 Topographic VAEs learn Equivariant Capsules NeurIPS 2021 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021 Towards Generating Summaries for Lexically Confusing Code through Code Erosion IJCAI 2021 Towards the Unseen: Iterative Text Recognition by Distilling From Errors ICCV 2021 Tractable Approximate Gaussian Inference for Bayesian Neural Networks JMLR 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021 Trumpets: Injective flows for inference and inverse problems UAI 2021 TVQVC: Transformer Based Vector Quantized Variational Autoencoder with CTC Loss for Voice Conversion Interspeech 2021 Unbiased gradient estimation for variational auto-encoders using coupled Markov chains UAI 2021 Uncertainty Quantification and Deep Ensembles NeurIPS 2021 Understanding Instance-based Interpretability of Variational Auto-Encoders NeurIPS 2021 Unified Robust Semi-Supervised Variational Autoencoder ICML 2021 Universal Approximation Using Well-Conditioned Normalizing Flows NeurIPS 2021 Unsupervised Class-Specific Abstractive Summarization of Customer Reviews ACL 2021 Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders ACL 2021 Unsupervised Relation Extraction: A Variational Autoencoder Approach EMNLP 2021 UWSpeech: Speech to Speech Translation for Unwritten Languages AAAI 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021