The Cramer Distance as a Solution to Biased Wasserstein Gradients

30 May 2017

Marc G. Bellemare

Ivo Danihelka

Will Dabney

S. Mohamed

Balaji Lakshminarayanan

Papers citing "The Cramer Distance as a Solution to Biased Wasserstein Gradients"

25 / 75 papers shown

Title
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Ruben Tolosana R. Vera-Rodríguez Julian Fierrez Aythami Morales J. Ortega-Garcia 3DPC CVBM 51 775 0 01 Jan 2020
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection João C. Neves Ruben Tolosana R. Vera-Rodríguez Vasco Lopes Hugo Proencca Julian Fierrez AAML PICV 21 128 0 13 Nov 2019
Small-GAN: Speeding Up GAN Training Using Core-sets Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 38 72 0 29 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim Arthur Gretton 27 159 0 11 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
Cherenkov Detectors Fast Simulation Using Neural Networks D. Derkach N. Kazeev Fedor Ratnikov Andrey Ustyuzhanin Alexandra Volokhova 11 28 0 28 Mar 2019
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Ning Yu Larry S. Davis Mario Fritz 27 3 0 20 Nov 2018
Probabilistic Semantic Inpainting with Pixel Constrained CNNs Emilien Dupont S. Suresha 34 14 0 08 Oct 2018
Airline Passenger Name Record Generation using Generative Adversarial Networks Alejandro Mottini Alix Lhéritier Rodrigo Acuna-Agost GAN 23 50 0 17 Jul 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 28 85 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 47 568 0 13 Jun 2018
Improving GANs Using Optimal Transport Tim Salimans Han Zhang Alec Radford Dimitris N. Metaxas OT GAN 22 323 0 15 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training Daniel Jiwoong Im He Ma Graham W. Taylor K. Branson EGVM 19 69 0 02 Mar 2018
Is Generator Conditioning Causally Related to GAN Performance? Augustus Odena Jacob Buckman Catherine Olsson Tom B. Brown C. Olah Colin Raffel Ian Goodfellow AI4CE 35 112 0 23 Feb 2018
First Order Generative Adversarial Networks Calvin Seward Thomas Unterthiner Urs M. Bergmann Nikolay Jetchev Sepp Hochreiter GAN 40 8 0 13 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 43 1,453 0 04 Jan 2018
Geometrical Insights for Implicit Generative Modeling Léon Bottou Martín Arjovsky David Lopez-Paz Maxime Oquab 32 49 0 21 Dec 2017
Correcting Nuisance Variation using Wasserstein Distance Gil Tabak Minjie Fan Samuel J. Yang Stephan Hoyer Geoff Davis 25 9 0 02 Nov 2017
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? Mostapha Benhenda GAN 19 102 0 28 Aug 2017
Likelihood Estimation for Generative Adversarial Networks Hamid Eghbalzadeh Gerhard Widmer GAN 32 8 0 24 Jul 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 46 618 0 01 Jun 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 269 2,552 0 25 Jan 2016