Variational Inference

Trajectory-User Linking via Variational AutoEncoder IJCAI 2018 Uncertainty-Aware Attention for Reliable Interpretation and Prediction NeurIPS 2018 Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation ACL 2018 Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound NeurIPS 2018 Using Large Ensembles of Control Variates for Variational Inference NeurIPS 2018 VAE with a VampPrior AISTATS 2018 Variational Attention for Sequence-to-Sequence Models COLING 2018 Variational Autoencoders for Deforming 3D Mesh Models CVPR 2018 Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study Interspeech 2018 Variational Bayesian dropout: pitfalls and fixes ICML 2018 Variational image compression with a scale hyperprior ICLR 2018 Variational Inference and Deep Generative Models ACL 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018 Variational Inference based on Robust Divergences AISTATS 2018 Variational Inference of Disentangled Latent Concepts from Unlabeled Observations ICLR 2018 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Variational Memory Encoder-Decoder NeurIPS 2018 Variational Network Quantization ICLR 2018 Variational Rejection Sampling AISTATS 2018 Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018 Variational Sequential Monte Carlo AISTATS 2018 Wasserstein Auto-Encoders ICLR 2018 Wasserstein Variational Inference NeurIPS 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling ICLR 2018 Yes, but Did It Work?: Evaluating Variational Inference ICML 2018