| Self-attention generative adversarial networks H Zhang, I Goodfellow, D Metaxas, A Odena International conference on machine learning, 7354-7363, 2019 | 2910 | 2019 |
| Conditional image synthesis with auxiliary classifier gans A Odena, C Olah, J Shlens International conference on machine learning, 2642-2651, 2017 | 2749 | 2017 |
| Deconvolution and checkerboard artifacts A Odena, V Dumoulin, C Olah Distill 1 (10), e3, 2016 | 1233 | 2016 |
| Realistic evaluation of deep semi-supervised learning algorithms A Oliver, A Odena, CA Raffel, ED Cubuk, I Goodfellow Advances in neural information processing systems 31, 2018 | 801 | 2018 |
| Semi-supervised learning with generative adversarial networks A Odena arXiv preprint arXiv:1606.01583, 2016 | 631 | 2016 |
| Tensorfuzz: Debugging neural networks with coverage-guided fuzzing A Odena, C Olsson, D Andersen, I Goodfellow International Conference on Machine Learning, 4901-4911, 2019 | 210 | 2019 |
| Consistency regularization for generative adversarial networks H Zhang, Z Zhang, A Odena, H Lee arXiv preprint arXiv:1910.12027, 2019 | 147 | 2019 |
| Discriminator rejection sampling S Azadi, C Olsson, T Darrell, I Goodfellow, A Odena arXiv preprint arXiv:1810.06758, 2018 | 106 | 2018 |
| Is generator conditioning causally related to GAN performance? A Odena, J Buckman, C Olsson, T Brown, C Olah, C Raffel, I Goodfellow International conference on machine learning, 3849-3858, 2018 | 106 | 2018 |
| Deconvolution and checkerboard artifacts. Distill (2016) A Odena, V Dumoulin, C Olah | 97 | 2016 |
| Program synthesis with large language models J Austin, A Odena, M Nye, M Bosma, H Michalewski, D Dohan, E Jiang, ... arXiv preprint arXiv:2108.07732, 2021 | 86 | 2021 |
| Improved consistency regularization for gans Z Zhao, S Singh, H Lee, Z Zhang, A Odena, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11033 …, 2021 | 50 | 2021 |
| Self-attention generative adversarial networks. arXiv 2018 H Zhang, I Goodfellow, D Metaxas, A Odena arXiv preprint arXiv:1805.08318, 1805 | 50* | 1805 |
| Open questions about generative adversarial networks A Odena Distill 4 (4), e18, 2019 | 41* | 2019 |
| Your local GAN: Designing two dimensional local attention mechanisms for generative models G Daras, A Odena, H Zhang, AG Dimakis Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 40 | 2020 |
| Changing model behavior at test-time using reinforcement learning A Odena, D Lawson, C Olah arXiv preprint arXiv:1702.07780, 2017 | 40 | 2017 |
| Semi-supervised learning with generative adversarial networks. arXiv A Odena arXiv preprint arXiv:1606.01583, 2016 | 38 | 2016 |
| Skill rating for generative models C Olsson, S Bhupatiraju, T Brown, A Odena, I Goodfellow arXiv preprint arXiv:1808.04888, 2018 | 34 | 2018 |
| Small-gan: Speeding up gan training using core-sets S Sinha, H Zhang, A Goyal, Y Bengio, H Larochelle, A Odena International Conference on Machine Learning, 9005-9015, 2020 | 30 | 2020 |
| Show your work: Scratchpads for intermediate computation with language models M Nye, AJ Andreassen, G Gur-Ari, H Michalewski, J Austin, D Bieber, ... arXiv preprint arXiv:2112.00114, 2021 | 28 | 2021 |
Ian GoodfellowDeepMindVerified email at deepmind.com
