Towards GAN Benchmarks Which Require Generalization

10 January 2020

Papers citing "Towards GAN Benchmarks Which Require Generalization"

39 / 39 papers shown

Title
A Call for Clarity in Reporting BLEU Scores Matt Post 136 2,981 0 23 Apr 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training Daniel Jiwoong Im He Ma Graham W. Taylor K. Branson EGVM 55 69 0 02 Mar 2018
A Note on the Inception Score Shane T. Barratt Rishi Sharma EGVM 86 692 0 06 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 136 1,491 0 04 Jan 2018
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 115 1,057 0 05 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 123 7,351 0 27 Oct 2017
Searching for Activation Functions Prajit Ramachandran Barret Zoph Quoc V. Le 62 609 0 16 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,950 0 19 Sep 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium M. Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter 74 465 0 26 Jun 2017
Do GANs actually learn the distribution? An empirical study Sanjeev Arora Yi Zhang 46 192 0 26 Jun 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks Mihaela Rosca Balaji Lakshminarayanan David Warde-Farley S. Mohamed DRL GAN 58 264 0 15 Jun 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 70 344 0 30 May 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 45 483 0 27 May 2017
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu Olivier Bousquet Kamalika Chaudhuri 48 138 0 24 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 722 0 24 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs Ivo Danihelka Balaji Lakshminarayanan Benigno Uria Daan Wierstra Peter Dayan GAN 50 53 0 15 May 2017
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 197 1,557 0 11 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 195 9,545 0 31 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 54 688 0 02 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 166 4,824 0 26 Jan 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 101 941 0 19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 79 2,105 0 17 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 101 1,801 0 22 Dec 2016
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge J. Belongie GAN 59 459 0 13 Dec 2016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 108 260 0 14 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 73 223 0 14 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 415 3,209 0 30 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 155 402 0 20 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 891 6,787 0 26 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 135 1,818 0 15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 478 9,044 0 10 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,105 0 10 Jun 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 457 2,567 0 25 Jan 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 872 27,350 0 02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 248 14,005 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 105 2,359 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 123 1,145 0 05 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 315 18,609 0 06 Feb 2015