Augustus Odena
Augustus Odena
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
ICML 2017, 2016
21912016
Self-attention generative adversarial networks
H Zhang, I Goodfellow, D Metaxas, A Odena
ICML 2019 (Long Talk), 2018
20782018
Deconvolution and checkerboard artifacts
A Odena, V Dumoulin, C Olah
Distill 1 (10), e3, 2016
10492016
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
A Oliver, A Odena, C Raffel, ED Cubuk, IJ Goodfellow
NIPS 2018 (Spotlight), 2018
5952018
Semi-supervised learning with generative adversarial networks
A Odena
Workshop on Data-Efficient Machine Learning (ICML 2016), 2016
5232016
Tensorfuzz: Debugging neural networks with coverage-guided fuzzing
A Odena, I Goodfellow
ICML 2019 (Long Talk), 2018
1582018
Is Generator Conditioning Causally Related to GAN Performance?
A Odena, J Buckman, C Olsson, TB Brown, C Olah, C Raffel, I Goodfellow
ICML 2018, 2018
912018
Consistency Regularization for Generative Adversarial Networks
H Zhang, Z Zhang, A Odena, H Lee
ICLR 2020, 2019
862019
Discriminator rejection sampling
S Azadi, C Olsson, T Darrell, I Goodfellow, A Odena
ICLR 2019, 2018
832018
Open questions about generative adversarial networks
A Odena
Distill 4 (4), e18, 2019
35*2019
Improved consistency regularization for gans
Z Zhao, S Singh, H Lee, Z Zhang, A Odena, H Zhang
AAAI 2021, 2020
302020
Skill rating for generative models
C Olsson, S Bhupatiraju, T Brown, A Odena, I Goodfellow
arXiv preprint arXiv:1808.04888, 2018
302018
Changing model behavior at test-time using reinforcement learning
A Odena, D Lawson, C Olah
ICLR 2017 (Workshop Track), 2017
302017
Faster Asynchronous SGD
A Odena
Workshop on Optimization Methods for the Next Generation of Machine Learning …, 2016
232016
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
G Daras, A Odena, H Zhang, AG Dimakis
CVPR 2020, 2019
222019
Self-attention generative adversarial networks (2018)
H Zhang, I Goodfellow, D Metaxas, A Odena
arXiv preprint arXiv:1805.08318, 1805
211805
Small-GAN: Speeding Up GAN Training Using Core-sets
S Sinha, H Zhang, A Goyal, Y Bengio, H Larochelle, A Odena
ICML 2020, 2019
182019
Top-k training of gans: Improving gan performance by throwing away bad samples
Z Zhao, S Sinha, A Goyal, C Raffel, A Odena
arXiv preprint arXiv:2002.06224, 2020
152020
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
102021
BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration
A Odena, K Shi, D Bieber, R Singh, C Sutton
ICLR 2021 (Spotlight), 2020
102020
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Articles 1–20