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Augustus Odena
Augustus Odena
Research Scientist
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Self-attention generative adversarial networks
H Zhang, I Goodfellow, D Metaxas, A Odena
International conference on machine learning, 7354-7363, 2019
45532019
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
International conference on machine learning, 2642-2651, 2017
39472017
Deconvolution and checkerboard artifacts
A Odena, V Dumoulin, C Olah
Distill 1 (10), e3, 2016
17382016
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
11602018
Semi-supervised learning with generative adversarial networks
A Odena
arXiv preprint arXiv:1606.01583, 2016
8482016
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
7222021
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
4342021
Tensorfuzz: Debugging neural networks with coverage-guided fuzzing
A Odena, C Olsson, D Andersen, I Goodfellow
International Conference on Machine Learning, 4901-4911, 2019
3482019
Consistency regularization for generative adversarial networks
H Zhang, Z Zhang, A Odena, H Lee
arXiv preprint arXiv:1910.12027, 2019
2872019
Discriminator rejection sampling
S Azadi, C Olsson, T Darrell, I Goodfellow, A Odena
arXiv preprint arXiv:1810.06758, 2018
1512018
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
1392021
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
1372018
Deconvolution and checkerboard artifacts. Distill (2016)
A Odena, V Dumoulin, C Olah
1222016
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
722020
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
662020
Top-k training of gans: Improving gan performance by throwing away bad samples
S Sinha, Z Zhao, AG ALIAS PARTH GOYAL, CA Raffel, A Odena
Advances in Neural Information Processing Systems 33, 14638-14649, 2020
582020
Semi-supervised learning with generative adversarial networks. arXiv
A Odena
arXiv preprint arXiv:1606.01583 10, 2016
542016
Open questions about generative adversarial networks
A Odena
Distill 4 (4), e18, 2019
53*2019
Changing model behavior at test-time using reinforcement learning
A Odena, D Lawson, C Olah
arXiv preprint arXiv:1702.07780, 2017
512017
Skill rating for generative models
C Olsson, S Bhupatiraju, T Brown, A Odena, I Goodfellow
arXiv preprint arXiv:1808.04888, 2018
442018
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