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Noise Robust Generative Adversarial Networks

26 November 2019

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Papers citing "Noise Robust Generative Adversarial Networks"

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Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 147 1,815 0 02 Jun 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation Takuhiro Kaneko Tatsuya Harada 70 3 0 06 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 91 797 0 25 Apr 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 86 158 0 06 Mar 2019
Noise2Self: Blind Denoising by Self-Supervision Joshua D. Batson Loic A. Royer 76 660 0 30 Jan 2019
Diversity-Sensitive Conditional Generative Adversarial Networks Dingdong Yang Seunghoon Hong Y. Jang Tianchen Zhao Honglak Lee GAN 107 216 0 25 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 151 716 0 25 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 586 10,561 0 12 Dec 2018
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 74 151 0 04 Dec 2018
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen Xiaohua Zhai Marvin Ritter Mario Lucic N. Houlsby SSL GAN 76 302 0 27 Nov 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 87 60 0 27 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada 67 9 0 27 Nov 2018
Noise2Void - Learning Denoising from Single Noisy Images Alexander Krull T. Buchholz Florian Jug 103 1,103 0 27 Nov 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 67 81 0 08 Nov 2018
On Self Modulation for Generative Adversarial Networks Ting Chen Mario Lucic N. Houlsby Sylvain Gelly GAN 62 105 0 02 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 262 5,394 0 28 Sep 2018
Toward Convolutional Blind Denoising of Real Photographs Shi Guo Zifei Yan Peng Sun W. Zuo Lei Zhang 96 911 0 12 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 295 3,134 0 09 Jul 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 148 3,726 0 21 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 83 2,602 0 20 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 113 2,069 0 18 Apr 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 74 711 0 30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 146 1,426 0 24 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 258 3,290 0 21 Mar 2018
Improving GANs Using Optimal Transport Tim Salimans Han Zhang Alec Radford Dimitris N. Metaxas OT GAN 67 324 0 15 Mar 2018
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 86 1,605 0 12 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 157 4,440 0 16 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 81 1,465 0 13 Jan 2018
Robust Loss Functions under Label Noise for Deep Neural Networks Aritra Ghosh Himanshu Kumar P. Sastry NoLa OOD 70 957 0 27 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 104 1,453 0 14 Dec 2017
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 63 1,011 0 28 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,019 0 02 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 143 7,361 0 27 Oct 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Peng Sun W. Zuo Lei Zhang 125 2,123 0 11 Oct 2017
MemNet: A Persistent Memory Network for Image Restoration Ying Tai Jian Yang Xiaoming Liu Chunyan Xu SupR 108 1,542 0 07 Aug 2017
Benchmarking Denoising Algorithms with Real Photographs Tobias Plötz Stefan Roth 63 588 0 05 Jul 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 80 465 0 26 Jun 2017
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 85 567 0 08 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 74 344 0 30 May 2017
Learning Deep Networks from Noisy Labels with Dropout Regularization Ishan Jindal M. Nokleby Xuewen Chen NoLa 61 184 0 09 May 2017
Geometric GAN Jae Hyun Lim J. C. Ye GAN 64 518 0 08 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 331 4,574 0 13 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 342 4,629 0 10 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 100 1,454 0 13 Sep 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 142 6,995 0 13 Aug 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 272 3,702 0 26 May 2016
Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng Yang Song Thomas Leung Ian Goodfellow OOD 50 638 0 15 Apr 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 479 2,570 0 25 Jan 2016