Hieu Pham

Affiliations:
  • Google Research, Google DeepMind, Brain Team, USA


According to our database1, Hieu Pham authored at least 18 papers between 2017 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Combined scaling for zero-shot transfer learning.
Neurocomputing, October, 2023

Symbolic Discovery of Optimization Algorithms.
CoRR, 2023

MixupE: Understanding and improving Mixup from directional derivative perspective.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Symbolic Discovery of Optimization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.
CoRR, 2022

2021
Combined Scaling for Zero-shot Transfer Learning.
CoRR, 2021

Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Towards Domain-Agnostic Contrastive Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.
Proceedings of the 38th International Conference on Machine Learning, 2021

Meta Pseudo Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AutoDropout: Learning Dropout Patterns to Regularize Deep Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Domain-Agnostic Contrastive Learning.
CoRR, 2020

2018
Efficient Neural Architecture Search via Parameter Sharing.
Proceedings of the 35th International Conference on Machine Learning, 2018

Faster Discovery of Neural Architectures by Searching for Paths in a Large Model.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Hierarchical Model for Device Placement.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Device Placement Optimization with Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Neural Combinatorial Optimization with Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017


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