Hieu Pham

发表

Device Placement Optimization with Reinforcement Learning

Samy Bengio, Naveen Kumar, Quoc V. Le, 2017, ICML.

Effective Approaches to Attention-based Neural Machine Translation pdf

Christopher D. Manning, Hieu Pham, Thang Luong, 2015, EMNLP.

A Hierarchical Model for Device Placement

Quoc V. Le, Azalia Mirhoseini, Hieu Pham, 2018, ICLR.

Neural Combinatorial Optimization with Reinforcement Learning pdf

Samy Bengio, Quoc V. Le, Mohammad Norouzi, 2016, ICLR.

Efficient Neural Architecture Search via Parameter Sharing

Quoc V. Le, Melody Y. Guan, Hieu Pham, 2018, ICML.

High-throughput image-based plant stand count estimation using convolutional neural networks

Lizhi Wang, Saeed Khaki, Hieu Pham, 2020, bioRxiv.

On Optimization Algorithms for Recurrent Networks with Long Short-Term Memory

Hieu Pham, Hieu Pham, 2015 .

Combined Scaling for Open-Vocabulary Image Classiﬁcation

Quoc V. Le, Adams Wei Yu, Mingxing Tan, 2022 .

Hierarchical Planning for Device Placement

Quoc V. Le, Azalia Mirhoseini, Hieu Pham, 2018 .

Enhancing Few-shot Image Classification with Cosine Transformer

Dung D. Le, Hieu Pham, M. Do, 2022, ArXiv.

Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour pdf

Quoc V. Le, Mingxing Tan, Hieu Pham, 2020, IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Combined Scaling for Zero-shot Transfer Learning pdf

Quoc V. Le, Adams Wei Yu, Minh-Thang Luong, 2021, ArXiv.

Faster Discovery of Neural Architectures by Searching for Paths in a Large Model

Quoc V. Le, Melody Y. Guan, Hieu Pham, 2018, ICLR.

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Quoc V. Le, Hieu Pham, Yinfei Yang, 2021, ICML.

Learning Distributed Representations for Multilingual Text Sequences

Christopher D. Manning, Hieu Pham, Thang Luong, 2015, VS@HLT-NAACL.

Combined Scaling for Zero-shot Transfer Learning

Quoc V. Le, Adams Wei Yu, Mingxing Tan, 2021, Neurocomputing.

Symbolic Discovery of Optimization Algorithms

Quoc V. Le, Cho-Jui Hsieh, Hieu Pham, 2023, ArXiv.

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation

Graham Neubig, Zihang Dai, Hieu Pham, 2018, EMNLP.

Symbolic Discovery of Optimization Algorithms

Quoc V. Le, Cho-Jui Hsieh, Hieu Pham, 2023, NeurIPS.

Meta Back-translation pdf

Graham Neubig, Hieu Pham, Yiming Yang, 2021, ICLR.

A Tree-based Decoder for Neural Machine Translation pdf

Graham Neubig, Pengcheng Yin, Hieu Pham, 2018, EMNLP.

Towards Domain-Agnostic Contrastive Learning

Quoc V. Le, Minh-Thang Luong, Hieu Pham, 2020, ICML.

AutoDropout: Learning Dropout Patterns to Regularize Deep Networks pdf

Quoc V. Le, Hieu Pham, Hieu Pham, 2021, AAAI.

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Sang Michael Xie, Sang Michael Xie, Quoc V. Le, 2023, ArXiv.

Multilingual Neural Machine Translation With Soft Decoupled Encoding pdf

Graham Neubig, Philip Arthur, Hieu Pham, 2019, ICLR.

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective

Hieu Pham, Juho Kannala, Y. Bengio, 2022, arXiv.org.

YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data

Saeed Khaki, Hieu Pham, Lizhi Wang, 2020, bioRxiv.

Ju n 20 17 Device Placement Optimization with Reinforcement Learning

Quoc V. Le, J. Dean, Samy Bengio, 2017 .

Bilingual Word Representations with Monolingual Quality in Mind

Christopher D. Manning, Hieu Pham, Thang Luong, 2015, VS@HLT-NAACL.

A H IERARCHICAL M ODEL FOR D EVICE P LACEMENT

Benoit Steiner, Azalia Mirhoseini, Hieu Pham, 2018 .

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective

Hieu Pham, Juho Kannala, Y. Bengio, 2022, ArXiv.

Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach

Lam M. Nguyen, Anh Duy Nguyen, Hieu Pham, 2023, ArXiv.

Workshop Track -iclr 2017 Neural Combinatorial Optimization with Reinforcement Learning

Hieu Pham, Irwan Bello, 2017 .

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective

Wai Hoh Tang, Hieu Pham, Juho Kannala, 2022, UAI.

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Adams Wei Yu, Sang Michael Xie, Quoc V. Le, 2023, NeurIPS.

YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data

Hieu Pham, S. Khaki, Lizhi Wang, 2020, bioRxiv.