variational autoencoder

VAE with a VampPrior AISTATS 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 Autoregressive Decoder for Neural Response Generation EMNLP 2018 Variational image compression with a scale hyperprior ICLR 2018 Variational Memory Encoder-Decoder NeurIPS 2018 Variational Message Passing with Structured Inference Networks ICLR 2018 Wasserstein Variational Inference NeurIPS 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling ICLR 2018 A causal framework for explaining the predictions of black-box sequence-to-sequence models EMNLP 2017 A Conditional Variational Framework for Dialog Generation ACL 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 Adversarial Symmetric Variational Autoencoder NeurIPS 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017 A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017 A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings IJCAI 2017 Binge Watching: Scaling Affordance Learning From Sitcoms CVPR 2017 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Compressed Sensing using Generative Models ICML 2017 Creativity: Generating Diverse Questions Using Variational Autoencoders CVPR 2017 Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation CVPR 2017 Deep Quantization: Encoding Convolutional Activations With Deep Generative Model CVPR 2017 DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents CVPR 2017 Developing Bug-Free Machine Learning Systems With Formal Mathematics ICML 2017 Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NeurIPS 2017