v1v2v3 (latest)

Adversarially Learned Inference

2 June 2016

Aaron Courville

Papers citing "Adversarially Learned Inference"

50 / 749 papers shown

Title
Pairwise Augmented GANs with Adversarial Reconstruction Loss Aibek Alanov Max Kochurov D. Yashkov Dmitry Vetrov GAN 26 3 0 11 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 119 230 0 04 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 56 97 0 24 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 137 1,405 0 19 Sep 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization Yizhe Zhang Michel Galley Jianfeng Gao Zhe Gan Xiujun Li Chris Brockett W. Dolan 101 301 0 16 Sep 2018
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Kun Zhang Dacheng Tao GAN 120 228 0 16 Sep 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks Sudipto Mukherjee Himanshu Asnani Eugene Lin Sreeram Kannan GAN 77 340 0 10 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets Ming Ding Jie Tang Jie Zhang GNN GAN 99 116 0 01 Sep 2018
Escaping from Collapsing Modes in a Constrained Space Chia-Che Chang Chieh Hubert Lin Che-Rung Lee Da-Cheng Juan Wei Wei Hwann-Tzong Chen GAN 56 19 0 22 Aug 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 414 2,677 0 20 Aug 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning Ting Yu Jingfeng Wu Jinwen Ma Zhanxing Zhu 58 35 0 18 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 139 494 0 14 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 110 16 0 05 Aug 2018
On-line Adaptative Curriculum Learning for GANs T. Doan João Monteiro Isabela Albuquerque Bogdan Mazoure A. Durand Joelle Pineau R. Devon Hjelm 134 42 0 31 Jul 2018
How good is my GAN? K. Shmelkov Cordelia Schmid Alahari Karteek GAN EGVM 57 350 0 25 Jul 2018
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously Kyungjune Baek Duhyeon Bang Hyunjung Shim GAN CVBM 25 6 0 20 Jul 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 89 265 0 19 Jul 2018
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions Tim Sainburg Marvin Thielk Brad Theilman Benjamin Migliori T. Gentner DRL GAN 93 54 0 17 Jul 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis Huaibo Huang Zhihang Li Ran He Zhenan Sun Tieniu Tan DRL 53 267 0 17 Jul 2018
Variational Inference: A Unified Framework of Generative Models and Some Revelations Jianlin Su BDL DRL GAN 78 12 0 16 Jul 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 78 477 0 16 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 190 1,906 0 15 Jul 2018
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space M. Abdi Ehsan Abbasnejad C. Lim S. Nahavandi 3DH 52 13 0 14 Jul 2018
Adversarially Learned Mixture Model Andrew Jesson Cécile Low-Kam Tanya Nair F. Soudan Florent Chandelier Nicolas Chapados 27 2 0 14 Jul 2018
Manifold regularization with GANs for semi-supervised learning Bruno Lecouat Chuan-Sheng Foo Houssam Zenati V. Chandrasekhar GAN 57 14 0 11 Jul 2018
Learning Implicit Generative Models by Teaching Explicit Ones Chao Du Kun Xu Chongxuan Li Jun Zhu Bo Zhang DRL GAN 50 9 0 10 Jul 2018
Pioneer Networks: Progressively Growing Generative Autoencoder Ari Heljakka Arno Solin Arno Solin GAN DRL 82 41 0 09 Jul 2018
CR-GAN: Learning Complete Representations for Multi-view Generation Yu Tian Xi Peng Long Zhao Shaoting Zhang Dimitris N. Metaxas GAN SSL 81 149 0 28 Jun 2018
High Diversity Attribute Guided Face Generation with GANs Evgeny Izutov CVBM GAN 66 0 0 28 Jun 2018
Approximability of Discriminators Implies Diversity in GANs Yu Bai Tengyu Ma Andrej Risteski 100 74 0 27 Jun 2018
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization Xiaoming Yu Zhenqiang Ying Thomas Li Shan Liu Ge Li DiffM 81 15 0 26 Jun 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 75 40 0 22 Jun 2018
KinshipGAN: Synthesizing of Kinship Faces From Family Photos by Regularizing a Deep Face Network Savas Ozkan Akin Ozkan GAN CVBM 39 25 0 22 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 67 39 0 19 Jun 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models Shengjia Zhao Jiaming Song Stefano Ermon DRL GAN 78 20 0 18 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 125 87 0 14 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 88 41 0 08 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 98 92 0 07 Jun 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 86 89 0 07 Jun 2018
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference Louis C. Tiao Edwin V. Bonilla F. Ramos BDL OOD 63 7 0 05 Jun 2018
On Latent Distributions Without Finite Mean in Generative Models Damian Lesniak Igor Sieradzki Igor T. Podolak 18 1 0 05 Jun 2018
Training Generative Reversible Networks R. Schirrmeister Patryk Chrabkaszcz Frank Hutter T. Ball BDL GAN 63 8 0 05 Jun 2018
Disconnected Manifold Learning for Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal Maneesh Kumar Singh GAN 95 77 0 03 Jun 2018
Whitening and Coloring batch transform for GANs Aliaksandr Siarohin E. Sangineto N. Sebe 100 50 0 01 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 107 30 0 01 Jun 2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization L. Ambrogioni Umut Güçlü Julia Berezutskaya Eva W. P. van den Borne Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL VLM 70 17 0 29 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 118 42 0 29 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 56 134 0 28 May 2018
Discriminator Feature-based Inference by Recycling the Discriminator of GANs Duhyeon Bang Seoungyoon Kang Hyunjung Shim GAN 52 6 0 28 May 2018