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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
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 149 37 0 23 Feb 2019
Latent Translation: Crossing Modalities by Bridging Generative Models Yingtao Tian Jesse Engel DRL 89 16 0 21 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 152 1,013 0 21 Feb 2019
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts Michihiro Yasunaga John D. Lafferty 45 33 0 16 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 83 72 0 14 Feb 2019
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing R. Borsoi Tales Imbiriba J. Bermudez 42 105 0 14 Feb 2019
Contrastive Variational Autoencoder Enhances Salient Features Abubakar Abid James Zou DRL 68 65 0 12 Feb 2019
Unpriortized Autoencoder For Image Generation Jaeyoung Yoo Hojun Lee Nojun Kwak SyDa SSL GAN DRL 25 2 0 12 Feb 2019
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation Jianxin Lin Zhibo Chen Yingce Xia Sen Liu Tao Qin Jiebo Luo GAN 89 50 0 11 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 60 15 0 10 Feb 2019
Multi-Domain Translation by Learning Uncoupled Autoencoders Karren D. Yang Caroline Uhler OOD 39 14 0 09 Feb 2019
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving Michal Uřičář P. Krízek David Hurych Ibrahim Sobh S. Yogamani Patrick Denny GAN 99 58 0 09 Feb 2019
Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking H. Tamaru Yuki Saito Shinnosuke Takamichi Tomoki Koriyama Hiroshi Saruwatari 44 9 0 09 Feb 2019
Invariant-equivariant representation learning for multi-class data Ilya Feige 62 10 0 08 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 104 20 0 07 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 78 0 07 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 88 215 0 06 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 36 0 0 06 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 135 22 0 06 Feb 2019
Asymptotic Consistency of $α-$ Rényi-Approximate Posteriors Prateek Jaiswal Vinayak A. Rao Harsha Honnappa 73 12 0 05 Feb 2019
A variance modeling framework based on variational autoencoders for speech enhancement Simon Leglaive Laurent Girin Radu Horaud DRL 71 91 0 05 Feb 2019
Predictive Uncertainty Quantification with Compound Density Networks Agustinus Kristiadi Sina Daubener Asja Fischer BDL UQCV 68 17 0 04 Feb 2019
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog Zhe Gan Yu Cheng Ahmed El Kholy Linjie Li Jingjing Liu Jianfeng Gao 104 105 0 01 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 76 20 0 01 Feb 2019
Metric Gaussian Variational Inference Jakob Knollmüller T. Ensslin 61 49 0 30 Jan 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation Yukai Liu Rose Yu Stephan Zheng Eric Zhan Yisong Yue BDL AI4TS 107 117 0 30 Jan 2019
InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed M. Botvinick Hugo Larochelle Yoshua Bengio Sergey Levine OffRL 123 167 0 30 Jan 2019
Hierarchically Clustered Representation Learning Su-Jin Shin Kyungwoo Song Il-Chul Moon BDL 46 16 0 28 Jan 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat SSL OffRL 52 56 0 24 Jan 2019
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems Osbert Bastani 61 4 0 24 Jan 2019
Unsupervised Image-to-Image Translation with Self-Attention Networks Taewon Kang K. Lee 68 20 0 24 Jan 2019
How do Mixture Density RNNs Predict the Future? K. Ellefsen Charles Patrick Martin J. Tørresen 53 13 0 23 Jan 2019
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation X. Kong Bohan Li Graham Neubig Eduard H. Hovy Yiming Yang 56 28 0 22 Jan 2019
We Are Not Your Real Parents: Telling Causal from Confounded using MDL David Kaltenpoth Jilles Vreeken CML 106 22 0 21 Jan 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 114 57 0 21 Jan 2019
Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology Jiseob Kim Byoung-Tak Zhang 26 2 0 20 Jan 2019
GO Gradient for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Ke Bai Lawrence Carin 144 16 0 17 Jan 2019
Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising Fenglei Fan Hongming Shan Mannudeep K. Kalra Ramandeep Singh Guhan Qian M. Getzin Yueyang Teng Juergen Hahn Ge Wang 108 110 0 17 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation Hugo Oliveira E. Ferreira J. A. dos Santos MedIm 85 14 0 16 Jan 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 88 142 0 15 Jan 2019
Bayesian Learning of Neural Network Architectures G. Dikov Patrick van der Smagt Justin Bayer BDL 129 30 0 14 Jan 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 105 131 0 08 Jan 2019
FIGR: Few-shot Image Generation with Reptile Louis Clouâtre Marc Demers GAN VLM 57 98 0 08 Jan 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet Yaniv Ovadia Jasper Snoek 68 10 0 07 Jan 2019
Learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Adrian Dalca M. Sabuncu 124 115 0 07 Jan 2019
Understanding the (un)interpretability of natural image distributions using generative models Ryen Krusinga Sohil Shah Matthias Zwicker Tom Goldstein David Jacobs DiffM FAtt GAN 94 11 0 06 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 72 39 0 06 Jan 2019
Poincaré Wasserstein Autoencoder Ivan Ovinnikov 77 17 0 05 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 147 10 0 03 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas Guibas Silvio Savarese Jitendra Malik SSL 77 16 0 31 Dec 2018