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Decision-Making with Auto-Encoding Variational Bayes

17 February 2020

Romain Lopez

Pierre Boyeau

Nir Yosef

Michael I. Jordan

Jeffrey Regier

BDL

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Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

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Title
Generating a Fusion Image: One's Identity and Another's Shape Donggyu Joo Doyeon Kim Junmo Kim GAN 79 35 0 20 Apr 2018
Stylistic Variation in Social Media Part-of-Speech Tagging Murali Balusu Taha Merghani Jacob Eisenstein 33 5 0 19 Apr 2018
QuaSE: Accurate Text Style Transfer under Quantifiable Guidance Yi Liao Lidong Bing Piji Li Shuming Shi Wai Lam Tong Zhang BDL 106 31 0 19 Apr 2018
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach Decebal Constantin Mocanu Elena Mocanu BDL VLM DRL 62 18 0 18 Apr 2018
Efficient Model Identification for Tensegrity Locomotion Shaojun Zhu D. Surovik Kostas E. Bekris Abdeslam Boularias 35 10 0 12 Apr 2018
Variational Composite Autoencoders Jiangchao Yao Ivor Tsang Ya Zhang BDL DRL 40 0 0 12 Apr 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 65 51 0 10 Apr 2018
Exploring Disentangled Feature Representation Beyond Face Identification Yu Liu Fangyin Wei Jing Shao Lu Sheng Junjie Yan Xiaogang Wang CoGe CVBM 55 156 0 10 Apr 2018
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations Ju-Chieh Chou Cheng-chieh Yeh Hung-yi Lee Lin-Shan Lee 68 132 0 09 Apr 2018
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks Chenyang Lu M. V. D. van de Molengraft Gijs Dubbelman 60 163 0 06 Apr 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model Soheil Kolouri Phillip E. Pope Charles E. Martin Gustavo K. Rohde 64 94 0 05 Apr 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 68 38 0 05 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 82 453 0 04 Apr 2018
Training VAEs Under Structured Residuals Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson BDL DRL 31 12 0 03 Apr 2018
Unsupervised Learning of Sequence Representations by Autoencoders Wenjie Pei David Tax SSL AI4TS 6 6 0 03 Apr 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 161 446 0 03 Apr 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 59 226 0 29 Mar 2018
Comparing Generative Adversarial Network Techniques for Image Creation and Modification Mathijs Pieters M. Wiering GAN 41 11 0 24 Mar 2018
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network Hai Xuan Pham Yuting Wang Vladimir Pavlovic GAN 71 33 0 21 Mar 2018
Patch-Based Image Inpainting with Generative Adversarial Networks Ugur Demir Gözde B. Ünal GAN 50 254 0 20 Mar 2018
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool Feng Liu Tao Xiang Timothy M. Hospedales Wankou Yang Changyin Sun 71 29 0 16 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 104 253 0 15 Mar 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches Yeming Wen Paul Vicol Jimmy Ba Dustin Tran Roger C. Grosse BDL 80 314 0 12 Mar 2018
Learning Approximate Inference Networks for Structured Prediction Lifu Tu Kevin Gimpel BDL 54 53 0 09 Mar 2018
Smoothed Action Value Functions for Learning Gaussian Policies Ofir Nachum Mohammad Norouzi George Tucker Dale Schuurmans 88 28 0 06 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 65 95 0 02 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 61 182 0 28 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 96 127 0 27 Feb 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples Jake Zhao Kyunghyun Cho AAML 155 20 0 26 Feb 2018
Interactive Image Manipulation with Natural Language Instruction Commands Seitaro Shinagawa Koichiro Yoshino S. Sakti Yu Suzuki Satoshi Nakamura 67 14 0 23 Feb 2018
ChatPainter: Improving Text to Image Generation using Dialogue Shikhar Sharma Dendi Suhubdy Vincent Michalski Samira Ebrahimi Kahou Yoshua Bengio 137 99 0 22 Feb 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 138 480 0 21 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 112 526 0 21 Feb 2018
Information Theoretic Co-Training David A. McAllester 73 19 0 21 Feb 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal Arthur Gretton J. Dambre BDL 66 34 0 21 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 94 120 0 21 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks Max Kochurov T. Garipov D. Podoprikhin Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov OOD CLL BDL 62 22 0 20 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 121 98 0 20 Feb 2018
Interpretable VAEs for nonlinear group factor analysis Samuel K. Ainsworth N. Foti Adrian K. C. Lee E. Fox OOD DRL 136 19 0 17 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 94 1,356 0 16 Feb 2018
Auto-Encoding Total Correlation Explanation Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan BDL DRL 86 78 0 16 Feb 2018
Detecting Anomalous Faces with Ño Peeking' Autoencoders Anand Bhattad Jason Rock David A. Forsyth CVBM 78 15 0 15 Feb 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning Mike Wu Noah D. Goodman DRL 104 382 0 14 Feb 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator Jakob N. Foerster Gregory Farquhar Maruan Al-Shedivat Tim Rocktaschel Eric Xing Shimon Whiteson 99 97 0 14 Feb 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Dane S. Corneil W. Gerstner Johanni Brea OffRL 76 62 0 12 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 112 321 0 12 Feb 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 122 96 0 12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 132 858 0 09 Feb 2018
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization Ozsel Kilinc Ismail Uysal 55 31 0 08 Feb 2018
Gradient conjugate priors and multi-layer neural networks P. Gurevich Hannes Stuke BDL 68 14 0 07 Feb 2018