Wasserstein Introspective Neural Networks

Wasserstein Introspective Neural Networks

24 November 2017

Papers citing "Wasserstein Introspective Neural Networks"

13 / 13 papers shown

Title
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
Deep Consensus Learning Wei Sun Tianfu Wu 29 2 0 15 Mar 2021
A Comprehensive Review of Deep Learning-based Single Image Super-resolution S. M. A. Bashir Yi Wang Mahrukh Khan Yilong Niu SupR AI4Cl 34 112 0 18 Feb 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 39 138 0 02 Dec 2020
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation Runfa Chen Wenbing Huang B. Huang F. Sun Bin Fang 12 161 0 29 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Jackson Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 25 527 0 06 Dec 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 29 52 0 26 Sep 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 107 0 15 Jun 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 19 151 0 29 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 27 537 0 10 Mar 2019
Variational Wasserstein Clustering Liang Mi Wen Zhang X. Gu Yalin Wang OT 50 42 0 23 Jun 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,110 0 04 Nov 2016
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 26 140 0 29 Sep 2016