Faster Asynchronous SGD. - Augustus Odena (CoRR, 2016)

Semi-Supervised Learning with Generative Adversarial Networks. - Augustus Odena (CoRR, 2016)

Changing Model Behavior at Test-time Using Reinforcement Learning. - Augustus Odena; Dieterich Lawson; Christopher Olah (ICLR (Workshop), 2017)

Conditional Image Synthesis with Auxiliary Classifier GANs. - Augustus Odena; Christopher Olah; Jonathon Shlens (ICML, 2017)

Realistic Evaluation of Semi-Supervised Learning Algorithms. - Avital Oliver; Augustus Odena; Colin Raffel; Ekin D. Cubuk; Ian J. Goodfellow (ICLR (Workshop), 2018)

Is Generator Conditioning Causally Related to GAN Performance? - Augustus Odena; Jacob Buckman; Catherine Olsson; Tom B. Brown; Christopher Olah; Colin Raffel; Ian J. Goodfellow (ICML, 2018)

Realistic Evaluation of Deep Semi-Supervised Learning Algorithms. - Avital Oliver; Augustus Odena; Colin Raffel; Ekin Dogus Cubuk; Ian J. Goodfellow (NeurIPS, 2018)

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing. - Augustus Odena; Ian J. Goodfellow (CoRR, 2018)

Skill Rating for Generative Models. - Catherine Olsson; Surya Bhupatiraju; Tom B. Brown; Augustus Odena; Ian J. Goodfellow (CoRR, 2018)

Discriminator Rejection Sampling. - Samaneh Azadi; Catherine Olsson; Trevor Darrell; Ian J. Goodfellow; Augustus Odena (ICLR (Poster), 2019)

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing. - Augustus Odena; Catherine Olsson; David G. Andersen; Ian J. Goodfellow (ICML, 2019)

Self-Attention Generative Adversarial Networks. - Han Zhang 010; Ian J. Goodfellow; Dimitris N. Metaxas; Augustus Odena (ICML, 2019)

Improving Differentially Private Models with Active Learning. - Zhengli Zhao; Nicolas Papernot; Sameer Singh 001; Neoklis Polyzotis; Augustus Odena (CoRR, 2019)

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. - Giannis Daras; Augustus Odena; Han Zhang 010; Alexandros G. Dimakis (CVPR, 2020)

Learning to Represent Programs with Property Signatures. - Augustus Odena; Charles Sutton (ICLR, 2020)

Consistency Regularization for Generative Adversarial Networks. - Han Zhang 010; Zizhao Zhang; Augustus Odena; Honglak Lee (ICLR, 2020)

Small-GAN: Speeding up GAN Training using Core-Sets. - Samarth Sinha; Han Zhang 010; Anirudh Goyal; Yoshua Bengio; Hugo Larochelle; Augustus Odena (ICML, 2020)

SMYRF - Efficient Attention using Asymmetric Clustering. - Giannis Daras; Nikita Kitaev; Augustus Odena; Alexandros G. Dimakis (NeurIPS, 2020)

Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples. - Samarth Sinha; Zhengli Zhao; Anirudh Goyal; Colin Raffel; Augustus Odena (NeurIPS, 2020)

Top-K Training of GANs: Improving Generators by Making Critics Less Critical. - Samarth Sinha; Anirudh Goyal; Colin Raffel; Augustus Odena (CoRR, 2020)

BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration. - Augustus Odena; Kensen Shi; David Bieber; Rishabh Singh; Charles Sutton (CoRR, 2020)

Learnability and Complexity of Quantum Samples. - Murphy Yuezhen Niu; Andrew M. Dai; Li Li; Augustus Odena; Zhengli Zhao; Vadim Smelyanskyi; Hartmut Neven; Sergio Boixo (CoRR, 2020)

Improved Consistency Regularization for GANs. - Zhengli Zhao; Sameer Singh 001; Honglak Lee; Zizhao Zhang; Augustus Odena; Han Zhang 010 (AAAI, 2021)

BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration. - Augustus Odena; Kensen Shi; David Bieber; Rishabh Singh; Charles Sutton; Hanjun Dai (ICLR, 2021)

Program Synthesis with Large Language Models. - Jacob Austin; Augustus Odena; Maxwell I. Nye; Maarten Bosma; Henryk Michalewski; David Dohan; Ellen Jiang; Carrie J. Cai; Michael Terry; Quoc V. Le; Charles Sutton (CoRR, 2021)

Show Your Work: Scratchpads for Intermediate Computation with Language Models. - Maxwell I. Nye; Anders Johan Andreassen; Guy Gur-Ari; Henryk Michalewski; Jacob Austin; David Bieber; David Dohan; Aitor Lewkowycz; Maarten Bosma; David Luan; Charles Sutton; Augustus Odena (CoRR, 2021)