Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 32 109 0 03 Aug 2018
A Zero-Shot Framework for Sketch-based Image Retrieval Sasi Kiran Yelamarthi M. K. Reddy Ashish Mishra Anurag Mittal 27 185 0 31 Jul 2018
Pose Guided Human Video Generation Ceyuan Yang Zhe Wang Xinge Zhu Chen Huang Jianping Shi Dahua Lin GAN 22 145 0 30 Jul 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data Changde Du Changying Du Hao Wang Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 14 66 0 27 Jul 2018
Variational Memory Encoder-Decoder Hung Le T. Tran Thin Nguyen Svetha Venkatesh VLM DRL 15 32 0 26 Jul 2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes Manyi Li A. Patil Kai Xu S. Chaudhuri Owais Khan Ariel Shamir Changhe Tu Baoquan Chen Daniel Cohen-Or Hao Zhang 3DV VGen 45 139 0 24 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 22 99 0 24 Jul 2018
Deep Learning Nicholas G. Polson Vadim Sokolov AI4CE BDL 43 1 0 20 Jul 2018
The Deep Kernelized Autoencoder Michael C. Kampffmeyer Sigurd Løkse F. Bianchi Robert Jenssen L. Livi 13 18 0 19 Jul 2018
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling C. Biffi Ozan Oktay G. Tarroni Wenjia Bai A. de Marvao ... R. Bedair S. Prasad S. Cook D. O’Regan Daniel Rueckert MedIm 24 66 0 18 Jul 2018
Visual Affordance and Function Understanding: A Survey Mohammed Hassanin Salman Khan M. Tahtali 24 48 0 18 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 33 841 0 17 Jul 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 16 45 0 17 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 43 535 0 12 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 32 19 0 12 Jul 2018
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models Mohammad Emtiyaz Khan Didrik Nielsen BDL 39 62 0 12 Jul 2018
Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion Steven Atkinson N. Zabaras 27 36 0 11 Jul 2018
Distributed Variational Representation Learning Iñaki Estella Aguerri Milad Sefidgaran 23 71 0 11 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 43 3,085 0 09 Jul 2018
Pioneer Networks: Progressively Growing Generative Autoencoder Ari Heljakka Arno Solin Arno Solin GAN DRL 27 41 0 09 Jul 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 19 506 0 04 Jul 2018
New Losses for Generative Adversarial Learning Victor Berger Michèle Sebag GAN 22 0 0 03 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 43 715 0 03 Jul 2018
The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aaron van den Oord Karen Simonyan 23 184 0 26 Jun 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 35 120 0 21 Jun 2018
Unsupervised Learning of Object Landmarks through Conditional Image Generation Tomas Jakab Ankush Gupta Hakan Bilen Andrea Vedaldi SSL 33 252 0 20 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 104 4,960 0 19 Jun 2018
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs Tom Kelly Paul Guerrero A. Steed Peter Wonka Niloy J. Mitra 34 39 0 19 Jun 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018
MedGAN: Medical Image Translation using GANs Karim Armanious Chenming Yang Marc Fischer Thomas Kustner K. Nikolaou S. Gatidis Bin Yang GAN MedIm 14 541 0 17 Jun 2018
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry X. Xing Ruiqi Gao Tian Han Song-Chun Zhu Ying Nian Wu DRL 24 28 0 16 Jun 2018
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention Chao Yang Taehwan Kim Ruizhe Wang Hao Peng C.-C. Jay Kuo 28 51 0 16 Jun 2018
Learning Factorized Multimodal Representations Yao-Hung Hubert Tsai Paul Pu Liang Amir Zadeh Louis-Philippe Morency Ruslan Salakhutdinov DRL 63 402 0 16 Jun 2018
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model Daniel Andrade Akiko Takeda Kenji Fukumizu 29 4 0 15 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 22 49 0 14 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 47 569 0 13 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts Simon Jenni Paolo Favaro SSL 150 127 0 13 Jun 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 35 264 0 13 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models Fanny Roche Thomas Hueber Samuel Limier Laurent Girin 30 16 0 11 Jun 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu Shuyang Dai Zhe Gan Weiyao Wang Guoyin Wang Yizhe Zhang Ricardo Henao Lawrence Carin GAN OOD 37 41 0 08 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 19 90 0 07 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 178 666 0 07 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 37 142 0 07 Jun 2018
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen DRL 19 3 0 07 Jun 2018
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams Duong Nguyen Rodolphe Vadaine G. Hajduch R. Garello Ronan Fablet 30 101 0 06 Jun 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 24 68 0 06 Jun 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 19 146 0 06 Jun 2018
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo 34 370 0 06 Jun 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 30 110 0 05 Jun 2018