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variational autoencoder

1288 papers

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Co-occurring keywords

generative model (2892) variational inference (2069) latent space (854) representation learning (6206) latent representation (418) latent variable (541) disentangled representation (521) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944)

Papers

A Variational U-Net for Conditional Appearance and Shape Generation CVPR 2018
FlipDial: A Generative Model for Two-Way Visual Dialogue CVPR 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders NIPS 2018
Gaussian Process Prior Variational Autoencoders NIPS 2018
Wasserstein Variational Inference NIPS 2018
Hamiltonian Variational Auto-Encoder NIPS 2018
Disentangled Sequential Autoencoder ICML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings ICML 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation ICML 2018
Variational Autoregressive Decoder for Neural Response Generation EMNLP 2018
Adversarial Symmetric Variational Autoencoder NIPS 2017
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2017
Developing Bug-Free Machine Learning Systems With Formal Mathematics ICML 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering IJCAI 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017
Creativity: Generating Diverse Questions Using Variational Autoencoders CVPR 2017
Binge Watching: Scaling Affordance Learning From Sitcoms CVPR 2017
Learning Diverse Image Colorization CVPR 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NIPS 2017
On the Ability of Neural Nets to Express Distributions COLT 2017
Learning Latent Representations for Speech Generation and Transformation INTERSPEECH 2017