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Unified Adversarial Invariance

7 May 2019

Papers citing "Unified Adversarial Invariance"

22 / 22 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Diversity in Faces Michele Merler Nalini Ratha Rogerio Feris John R. Smith 76 186 0 29 Jan 2019
Unsupervised Adversarial Invariance Ayush Jaiswal Yue Wu Wael AbdAlmageed Premkumar Natarajan OOD CML 80 48 0 26 Sep 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 62 210 0 24 May 2018
Information Constraints on Auto-Encoding Variational Bayes Romain Lopez Jeffrey Regier Michael I. Jordan N. Yosef BDL 71 123 0 22 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 86 439 0 11 May 2018
Large-Scale Unsupervised Deep Representation Learning for Brain Structure Ayush Jaiswal Dong Guo C. Raghavendra Paul M. Thompson OOD SSL 36 5 0 02 May 2018
Bidirectional Conditional Generative Adversarial Networks Ayush Jaiswal Wael AbdAlmageed Yue Wu Premkumar Natarajan GAN 46 36 0 20 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 135 1,072 0 12 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 149 2,828 0 15 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 91 476 0 05 Jun 2017
Controllable Invariance through Adversarial Feature Learning Qizhe Xie Zihang Dai Yulun Du Eduard H. Hovy Graham Neubig OOD 94 292 0 31 May 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 126 1,721 0 01 Dec 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 60 400 0 04 Nov 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 633 0 03 Nov 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 378 9,497 0 28 May 2015
Learning unbiased features Yujia Li Kevin Swersky R. Zemel OOD SSL FaML 67 70 0 17 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 264 12,439 0 24 Jun 2012
Marginalized Denoising Autoencoders for Domain Adaptation Minmin Chen Z. Xu Kilian Q. Weinberger Fei Sha 119 818 0 18 Jun 2012
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 231 2,363 0 15 May 2008