Hieu Pham - RankMe

27 papers A* 8A 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Combined scaling for zero-shot transfer learning. Neurocomputing Hieu Pham, 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
2023	A*	`conf`	DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. NeurIPS Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
2023	J	`jnl`	DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. CoRR Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
2023	A	`conf`	MixupE: Understanding and improving Mixup from directional derivative perspective. UAI Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2023	—	`—`	Reducing the Costs to Design, Train, and Collect Data for Neural Networks with Combinatorial Optimization Hieu Pham
2023	A*	`conf`	Symbolic Discovery of Optimization Algorithms. NeurIPS Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
2023	J	`jnl`	Symbolic Discovery of Optimization Algorithms. CoRR Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
2022	J	`jnl`	MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2021	A*	`conf`	AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. AAAI Hieu Pham, Quoc V. Le
2021	J	`jnl`	AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. CoRR Hieu Pham, Quoc V. Le
2021	J	`jnl`	Combined Scaling for Zero-shot Transfer Learning. CoRR Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le
2021	A*	`conf`	Meta Pseudo Labels. CVPR Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le
2021	A*	`conf`	Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. ICML Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig
2021	J	`jnl`	Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. CoRR Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig
2021	A*	`conf`	Towards Domain-Agnostic Contrastive Learning. ICML Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2021	—	`conf`	Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. IPDPS Workshops Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
2020	J	`jnl`	Meta Pseudo Labels. CoRR Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le
2020	J	`jnl`	Towards Domain-Agnostic Contrastive Learning. CoRR Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2020	J	`jnl`	Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. CoRR Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
2018	—	`conf`	A Hierarchical Model for Device Placement. ICLR (Poster) Azalia Mirhoseini, Anna Goldie, Hieu Pham, Benoit Steiner, Quoc V. Le, Jeff Dean
2018	A*	`conf`	Efficient Neural Architecture Search via Parameter Sharing. ICML Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean
2018	J	`jnl`	Efficient Neural Architecture Search via Parameter Sharing. CoRR Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean
2018	—	`conf`	Faster Discovery of Neural Architectures by Searching for Paths in a Large Model. ICLR (Workshop) Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean
2017	A*	`conf`	Device Placement Optimization with Reinforcement Learning. ICML Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean
2017	J	`jnl`	Device Placement Optimization with Reinforcement Learning. CoRR Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean
2017	—	`conf`	Neural Combinatorial Optimization with Reinforcement Learning. ICLR (Workshop) Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio
2016	J	`jnl`	Neural Combinatorial Optimization with Reinforcement Learning. CoRR Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio