Augustus Odena

According to our database1, Augustus Odena authored at least 26 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models.
CoRR, 2021

Program Synthesis with Large Language Models.
CoRR, 2021

BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Improved Consistency Regularization for GANs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learnability and Complexity of Quantum Samples.
CoRR, 2020

BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration.
CoRR, 2020

Top-K Training of GANs: Improving Generators by Making Critics Less Critical.
CoRR, 2020

Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SMYRF - Efficient Attention using Asymmetric Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Small-GAN: Speeding up GAN Training using Core-Sets.
Proceedings of the 37th International Conference on Machine Learning, 2020

Consistency Regularization for Generative Adversarial Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Represent Programs with Property Signatures.
Proceedings of the 8th International Conference on Learning Representations, 2020

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Improving Differentially Private Models with Active Learning.
CoRR, 2019

Self-Attention Generative Adversarial Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing.
Proceedings of the 36th International Conference on Machine Learning, 2019

Discriminator Rejection Sampling.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Skill Rating for Generative Models.
CoRR, 2018

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing.
CoRR, 2018

Realistic Evaluation of Deep Semi-Supervised Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Is Generator Conditioning Causally Related to GAN Performance?
Proceedings of the 35th International Conference on Machine Learning, 2018

Realistic Evaluation of Semi-Supervised Learning Algorithms.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Conditional Image Synthesis with Auxiliary Classifier GANs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Changing Model Behavior at Test-time Using Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Semi-Supervised Learning with Generative Adversarial Networks.
CoRR, 2016

Faster Asynchronous SGD.
CoRR, 2016


  Loading...