variational autoencoder

Effective Representing of Information Network by Variational Autoencoder IJCAI 2017 Factorized Variational Autoencoders for Modeling Audience Reactions to Movies CVPR 2017 Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NeurIPS 2017 Grammar Variational Autoencoder ICML 2017 Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2017 Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017 Infinite Variational Autoencoder for Semi-Supervised Learning CVPR 2017 Learning Disentangled Representations with Semi-Supervised Deep Generative Models NeurIPS 2017 Learning Diverse Image Colorization CVPR 2017 Learning Latent Representations for Speech Generation and Transformation Interspeech 2017 Learning to Reconstruct 3D Structures for Occupancy Mapping RSS 2017 Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit NeurIPS 2017 Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017 Neural Discrete Representation Learning NeurIPS 2017 On the Ability of Neural Nets to Express Distributions COLT 2017 Piecewise Latent Variables for Neural Variational Text Processing EMNLP 2017 Prediction and Control with Temporal Segment Models ICML 2017 Robust Conditional Probabilities NeurIPS 2017 Robust Imitation of Diverse Behaviors NeurIPS 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017 Stochastic Recurrent Neural Network for Speech Recognition Interspeech 2017 Tied Variational Autoencoder Backends for i-Vector Speaker Recognition Interspeech 2017 Toward Controlled Generation of Text ICML 2017 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NeurIPS 2017 VAE Learning via Stein Variational Gradient Descent NeurIPS 2017