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Generative Minimization Networks: Training GANs Without Competition


Mar 23, 2021
Paulina Grnarova, Yannic Kilcher, Kfir Y. Levy, Aurelien Lucchi, Thomas Hofmann


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Meta Answering for Machine Reading


Nov 11, 2019
Benjamin Borschinger, Jordan Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu


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Adversarial Training Generalizes Data-dependent Spectral Norm Regularization


Jun 17, 2019
Kevin Roth, Yannic Kilcher, Thomas Hofmann


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The Odds are Odd: A Statistical Test for Detecting Adversarial Examples


Feb 13, 2019
Kevin Roth, Yannic Kilcher, Thomas Hofmann


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Semantic Interpolation in Implicit Models


Feb 02, 2018
Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann


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Flexible Prior Distributions for Deep Generative Models


Jan 07, 2018
Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann

* arXiv admin note: text overlap with arXiv:1707.09241 

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The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels


Nov 15, 2017
Yannic Kilcher, Thomas Hofmann


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Parametrizing filters of a CNN with a GAN


Oct 31, 2017
Yannic Kilcher, Gary Becigneul, Thomas Hofmann


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Generator Reversal


Jul 28, 2017
Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann


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Scalable Adaptive Stochastic Optimization Using Random Projections


Nov 21, 2016
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen

* To appear in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

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