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We propose a new algorithm to incorporate class conditional information into the critic of GANs via a multi-class generalization of the commonly used Hinge loss that is compatible with both supervised and semi-supervised settings.
Towards a Deeper Understanding of Adversarial Losses
Hao-Wen Dong and Yi-Hsuan Yang · 1901
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On the algorithmic implementation of multiclass kernel-based vector machines
Koby Crammer and Yoram Singer · 2001
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Generative adversarial nets
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Conditional Generative Adversarial Nets
Mehdi Mirza and Simon Osindero · 2014
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Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg · 2015
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Semi-supervised learning with generative adversarial networks
Augustus Odena · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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original-date: 2017-06-26T13:32:12Z
bioinf-jku/TTUR, Nov. 2019 · 2017
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Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky and Léon Bottou · 2017
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Triple generative adversarial nets
LI Chongxuan, Taufik Xu, Jun Zhu, and Bo Zhang · 2017
Cited alongside, same era.
Good semi-supervised learning that requires a bad gan
Zihang Dai, Zhilin Yang, Fan Yang, William W Cohen, and Russ R Salakhutdinov · 2017
Cited alongside, same era.
Modulating early visual processing by language
Harm De Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, and Aaron C Courville · 2017
Cited alongside, same era.
A Learned Representation For Artistic Style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur · 2017
Cited alongside, same era.
Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
Cited alongside, same era.
Mmd gan: Towards deeper understanding of moment matching network
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, and Barnabás Póczos · 2017
Cited alongside, same era.
Hierarchical implicit models and likelihood-free variational inference
Dustin Tran, Rajesh Ranganath, and David Blei · 2017
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Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, and Olivier Bousquet · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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cGANs with projection discriminator
Takeru Miyato and Masanori Koyama · 2018
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original-date: 2019-04-29T16:24:10Z
tensorflow/gan, June 2020 · 2019
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Jae Hyun Lim and Jong Chul Ye · 2017
Cited alongside, same era.
McGan: Mean and covariance feature matching GAN
Youssef Mroueh, Tom Sercu, and Vaibhava Goel · 2017
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier GANs
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2017
Cited alongside, same era.
Semi-supervised conditional gans
Kumar Sricharan, Raja Bala, Matthew Shreve, Hui Ding, Kumar Saketh, and Jin Sun · 2017
Cited alongside, same era.
https://www.tensorflow.org/datasets
TensorFlow Datasets, a collection of ready-to-use datasets
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Margingan: Adversarial training in semi-supervised learning
Jinhao Dong and Tong Lin · 2019
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High-fidelity image generation with fewer labels
Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, and Sylvain Gelly · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
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Self-training with noisy student improves imagenet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy, and Quoc V Le · 2020
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