Neural Combinatorial Optimization with Reinforcement Learning. - Irwan Bello; Hieu Pham 001; Quoc V. Le; Mohammad Norouzi 002; Samy Bengio (ICLR (Workshop), 2017)

Device Placement Optimization with Reinforcement Learning. - Azalia Mirhoseini; Hieu Pham 001; Quoc V. Le; Benoit Steiner; Rasmus Larsen 002; Yuefeng Zhou; Naveen Kumar; Mohammad Norouzi 002; Samy Bengio; Jeff Dean (ICML, 2017)

A Hierarchical Model for Device Placement. - Azalia Mirhoseini; Anna Goldie; Hieu Pham 001; Benoit Steiner; Quoc V. Le; Jeff Dean (ICLR (Poster), 2018)

Faster Discovery of Neural Architectures by Searching for Paths in a Large Model. - Hieu Pham 001; Melody Y. Guan; Barret Zoph; Quoc V. Le; Jeff Dean (ICLR (Workshop), 2018)

Efficient Neural Architecture Search via Parameter Sharing. - Hieu Pham 001; Melody Y. Guan; Barret Zoph; Quoc V. Le; Jeff Dean (ICML, 2018)

Towards Domain-Agnostic Contrastive Learning. - Vikas Verma; Minh-Thang Luong; Kenji Kawaguchi; Hieu Pham 001; Quoc V. Le (CoRR, 2020)

AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. - Hieu Pham 001; Quoc V. Le (AAAI, 2021)

Meta Pseudo Labels. - Hieu Pham 001; Zihang Dai; Qizhe Xie; Quoc V. Le (CVPR, 2021)

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. - Chao Jia; Yinfei Yang; Ye Xia 006; Yi-Ting Chen; Zarana Parekh; Hieu Pham 001; Quoc V. Le; Yun-Hsuan Sung; Zhen Li 028; Tom Duerig (ICML, 2021)

Towards Domain-Agnostic Contrastive Learning. - Vikas Verma; Thang Luong; Kenji Kawaguchi; Hieu Pham 001; Quoc V. Le (ICML, 2021)

Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. - Arissa Wongpanich; Hieu Pham 001; James Demmel; Mingxing Tan; Quoc V. Le; Yang You 001; Sameer Kumar (IPDPS Workshops, 2021)

Combined Scaling for Zero-shot Transfer Learning. - Hieu Pham 001; Zihang Dai; Golnaz Ghiasi; Hanxiao Liu; Adams Wei Yu; Minh-Thang Luong; Mingxing Tan; Quoc V. Le (CoRR, 2021)

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. - Vikas Verma; Sarthak Mittal; Wai Hoh Tang; Hieu Pham 001; Juho Kannala; Yoshua Bengio; Arno Solin; Kenji Kawaguchi (CoRR, 2022)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (NeurIPS, 2023)

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. - Sang Michael Xie; Hieu Pham 001; Xuanyi Dong; Nan Du 002; Hanxiao Liu; Yifeng Lu; Percy Liang; Quoc V. Le; Tengyu Ma 001; Adams Wei Yu (NeurIPS, 2023)

MixupE: Understanding and improving Mixup from directional derivative perspective. - Yingtian Zou; Vikas Verma; Sarthak Mittal; Wai Hoh Tang; Hieu Pham 001; Juho Kannala; Yoshua Bengio; Arno Solin; Kenji Kawaguchi (UAI, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (CoRR, 2023)

Reducing the Costs to Design, Train, and Collect Data for Neural Networks with Combinatorial Optimization - Hieu Pham 001 (2023)

Combined scaling for zero-shot transfer learning. - Hieu Pham 001; Zihang Dai; Golnaz Ghiasi; Kenji Kawaguchi; Hanxiao Liu; Adams Wei Yu; Jiahui Yu; Yi-Ting Chen; Minh-Thang Luong; Yonghui Wu; Mingxing Tan; Quoc V. Le (Neurocomputing, 2023)