Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators

30 July 2018

Papers citing "Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators"

31 / 31 papers shown

Title
SGAN: An Alternative Training of Generative Adversarial Networks Tatjana Chavdarova François Fleuret GAN 59 57 0 06 Dec 2017
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 46 1,008 0 28 Nov 2017
Implicit Manifold Learning on Generative Adversarial Networks Kry Yik-Chau Lui Yanshuai Cao Maxime Gazeau Kelvin Shuangjian Zhang GAN 31 3 0 30 Oct 2017
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning Yuxin Peng Jinwei Qi Yuxin Yuan GAN 45 245 0 14 Oct 2017
Triangle Generative Adversarial Networks Zhe Gan Liqun Chen Weiyao Wang Yunchen Pu Yizhe Zhang Hao Liu Chunyuan Li Lawrence Carin GAN OOD 55 138 0 19 Sep 2017
Dual Discriminator Generative Adversarial Nets T. Nguyen Trung Le H. Vu Dinh Q. Phung GAN 41 310 0 12 Sep 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields Thomas Unterthiner Bernhard Nessler Calvin Seward Günter Klambauer M. Heusel Hubert Ramsauer Sepp Hochreiter GAN 55 74 0 29 Aug 2017
Multi-Generator Generative Adversarial Nets Q. Hoang T. Nguyen Trung Le Dinh Q. Phung GAN 48 65 0 08 Aug 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 75 456 0 30 May 2017
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann GAN 48 444 0 25 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 53 720 0 24 May 2017
Stabilizing GAN Training with Multiple Random Projections Behnam Neyshabur Srinadh Bhojanapalli Ayan Chakrabarti 30 82 0 22 May 2017
On Convergence and Stability of GANs Naveen Kodali Jacob D. Abernethy James Hays Z. Kira GAN 46 87 0 19 May 2017
Multi-Agent Diverse Generative Adversarial Networks Arna Ghosh Viveka Kulharia Vinay P. Namboodiri Philip Torr P. Dokania GAN 55 304 0 10 Apr 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 80 1,979 0 15 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 51 687 0 02 Mar 2017
Boosted Generative Models Aditya Grover Stefano Ermon 28 51 0 27 Feb 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 77 2,102 0 17 Jan 2017
Mode Regularized Generative Adversarial Networks Tong Che Yanran Li Athul Paul Jacob Yoshua Bengio Wenjie Li GAN 99 551 0 07 Dec 2016
Message Passing Multi-Agent GANs Arna Ghosh Viveka Kulharia Vinay P. Namboodiri AI4CE GAN 43 18 0 05 Dec 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 86 1,002 0 07 Nov 2016
Generative Multi-Adversarial Networks Ishan Durugkar I. Gemp Sridhar Mahadevan GAN 55 342 0 05 Nov 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 124 1,112 0 11 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 383 8,999 0 10 Jun 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 118 1,644 0 16 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 497 27,231 0 02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 232 13,968 0 19 Nov 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 219 8,351 0 28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 76 107 0 21 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 385 7,650 0 03 Jul 2012