Hieu Pham

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 59

Top Topics

Convolutional Neural Network

Machine Translation

Neural Architecture

Top Venues

Publications

Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu Pham, Shrikanth Narayanan, Michael Pazzani
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization. CoRR (2024)
Huyen Le, Khiet Dang, Tien Lai, Nhung Nguyen, Mai Tran, Hieu Pham
SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs. CoRR (2024)
Xuan Cuong Do, Hoang Dang Nguyen, Nhat Hai Nguyen, Thanh Hung Nguyen, Hieu Pham, Phi Le Nguyen
A Novel Approach for Extracting Key Information from Vietnamese Prescription Images. SoICT (2023)
Hanh-Phuc Le, Casey Hardy, Hieu Pham, Mohamed Mehdi Jatlaoui, Frederic Voiron, Patrick P. Mercier, Po-Han Chen, Saket Jha
Vertical Power Delivery and Heterogeneous Integration for High-Performance Computing. BCICTS (2023)
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. CoRR (2023)
Casey Hardy, Hieu Pham, Mohamed Mehdi Jatlaoui, Frederic Voiron, Tianshi Xie, Po-Han Chen, Saket Jha, Patrick Mercier, Hanh-Phuc Le
A Scalable Heterogeneous Integrated Two-Stage Vertical Power-Delivery Architecture for High-Performance Computing. ISSCC (2023)
Lawrence Mosley, Hieu Pham, Yogesh Bansal, Eric Hare, Charity Mwanza
Image-Based Sorghum Head Counting When You Only Look Once. HICSS (2023)
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
Combined scaling for zero-shot transfer learning. Neurocomputing 555 (2023)
Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and improving Mixup from directional derivative perspective. UAI (2023)
Nguyen Tuan, Phi Nguyen, Dai Tran, Hung Pham, Quang Nguyen, Thanh Le, Hanh Van, Bach Do, Phuong Tran, Vinh Le, Thuy Nguyen, Long Tran, Hieu Pham
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography. CoRR (2023)
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
Symbolic Discovery of Optimization Algorithms. CoRR (2023)
Tue Cao, Nhat Tran, Le Nguyen, Hung Nguyen, Hieu Pham
IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitaion mechanism in ECG analysis. SoICT (2023)
Saeed Khaki, Nima Safaei, Hieu Pham, Lizhi Wang
WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting. Neurocomputing 489 (2022)
Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR (2022)
Stavros Harizopoulos, Taylor Hopper, Morton Mo, Shyam Sundar Chandrasekaran, Tongguang Chen, Yan Cui, Nandini Ganesh, Gary Helmling, Hieu Pham, Sebastian Wong
Meta's Next-generation Realtime Monitoring and Analytics Platform. Proc. VLDB Endow. 15 (12) (2022)
Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. IPDPS Workshops (2021)
Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le
Meta Pseudo Labels. CVPR (2021)
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. ICML (2021)
Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
Towards Domain-Agnostic Contrastive Learning. ICML (2021)
Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig
Meta Back-Translation. ICLR (2021)
Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation. Knowl. Based Syst. 218 (2021)
Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig
Meta Back-translation. CoRR (2021)
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le
Combined Scaling for Zero-shot Transfer Learning. CoRR (2021)
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. CoRR (2021)
Saba Moeinizade, Hieu Pham, Ye Han, Austin Dobbels, Guiping Hu
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions. CoRR (2021)
Hieu Pham, Quoc V. Le
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. AAAI (2021)
Saeed Khaki, Nima Safaei, Hieu Pham, Lizhi Wang
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting. CoRR (2021)
Hieu Pham, Quoc V. Le
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. CoRR (2021)
Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime G. Carbonell, Graham Neubig
Optimizing Data Usage via Differentiable Rewards. ICML (2020)
Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting. CoRR (2020)
Lawrence Mosley, Hieu Pham, Yogesh Bansal, Eric Hare
Image-Based Sorghum Head Counting When You Only Look Once. CoRR (2020)
Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang
Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting. Sensors 20 (9) (2020)
Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation. CoRR (2020)
Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le
Meta Pseudo Labels. CoRR (2020)
Hieu Pham, Sigurður Olafsson
On Cesáro Averages for Weighted Trees in the Random Forest. J. Classif. 37 (1) (2020)
Saeed Khaki, Hieu Pham, Ye Han, Wade Kent, Lizhi Wang
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks. CoRR (2020)
Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. CoRR (2020)
Jing Li, John Reisner, Hieu Pham, Sigurdur Ólafsson, Stephen B. Vardeman
Biclustering with missing data. Inf. Sci. 510 (2020)
Saeed Khaki, Hieu Pham, Lizhi Wang
YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data. CoRR (2020)
Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
Towards Domain-Agnostic Contrastive Learning. CoRR (2020)
Hieu Pham, Sigurdur Ólafsson
Bagged ensembles with tunable parameters. Comput. Intell. 35 (1) (2019)
Mohsen Shahhosseini, Guiping Hu, Hieu Pham
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems. CoRR (2019)
Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig
Multilingual Neural Machine Translation With Soft Decoupled Encoding. ICLR (Poster) (2019)
Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig
Multilingual Neural Machine Translation With Soft Decoupled Encoding. CoRR (2019)
Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime G. Carbonell
Optimizing Data Usage via Differentiable Rewards. CoRR (2019)
John Reisner, Hieu Pham, Sigurdur Olafsson, Stephen B. Vardeman, Jing Li
biclustermd: An R Package for Biclustering with Missing Values. R J. 11 (2) (2019)
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean
Efficient Neural Architecture Search via Parameter Sharing. ICML (2018)
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean
Faster Discovery of Neural Architectures by Searching for Paths in a Large Model. ICLR (Workshop) (2018)
Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. EMNLP (2018)
Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. CoRR (2018)
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig
A Tree-based Decoder for Neural Machine Translation. CoRR (2018)
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean
Efficient Neural Architecture Search via Parameter Sharing. CoRR (2018)
Azalia Mirhoseini, Anna Goldie, Hieu Pham, Benoit Steiner, Quoc V. Le, Jeff Dean
A Hierarchical Model for Device Placement. ICLR (Poster) (2018)
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig
A Tree-based Decoder for Neural Machine Translation. EMNLP (2018)
Rui Hu, Hieu Pham, Philipp Buluschek, Daniel Gatica-Perez
Elderly People Living Alone: Detecting Home Visits with Ambient and Wearable Sensing. MMHealth@MM (2017)
Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean
Device Placement Optimization with Reinforcement Learning. CoRR (2017)
Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean
Device Placement Optimization with Reinforcement Learning. ICML (2017)
Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio
Neural Combinatorial Optimization with Reinforcement Learning. ICLR (Workshop) (2017)
Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio
Neural Combinatorial Optimization with Reinforcement Learning. CoRR (2016)
Thang Luong, Hieu Pham, Christopher D. Manning
Bilingual Word Representations with Monolingual Quality in Mind. VS@HLT-NAACL (2015)
Thang Luong, Hieu Pham, Christopher D. Manning
Effective Approaches to Attention-based Neural Machine Translation. EMNLP (2015)
Hieu Pham, Thang Luong, Christopher D. Manning
Learning Distributed Representations for Multilingual Text Sequences. VS@HLT-NAACL (2015)
Minh-Thang Luong, Hieu Pham, Christopher D. Manning
Effective Approaches to Attention-based Neural Machine Translation. CoRR (2015)
Tam Bui, Hieu Pham, Hiroshi Hasegawa
Modified Self-adaptive Strategy for Controlling Parameters in Differential Evolution. AsiaSim (2) (2012)
Hieu Pham, Hiroshi Hasegawa
Adaptive system of swarm intelligent with Genetic Algorithm for global optimization. SMC (2012)