Minh-Thang Luong

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 43

Top Topics

Accelerated Proximal Gradient

Machine Translation

Natural Language

Top Venues

Publications

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)
Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, Minh-Thang Luong
Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation. EACL (2023)
Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong
MTet: Multi-domain Translation for English and Vietnamese. CoRR (2022)
Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. EMNLP (1) (2021)
Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. EMNLP (Findings) (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)
Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. CoRR (2021)
Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. CoRR (2021)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
Pre-Training Transformers as Energy-Based Cloze Models. EMNLP (1) (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. CoRR (2020)
Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le
Self-Training With Noisy Student Improves ImageNet Classification. CVPR (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
Pre-Training Transformers as Energy-Based Cloze Models. CoRR (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. ICLR (2020)
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le
Towards a Human-like Open-Domain Chatbot. CoRR (2020)
Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
Towards Domain-Agnostic Contrastive Learning. CoRR (2020)
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh
Findings of the Third Workshop on Neural Generation and Translation. CoRR (2019)
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. CoRR (2019)
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. CoRR (2019)
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh
Findings of the Third Workshop on Neural Generation and Translation. NGT@EMNLP-IJCNLP (2019)
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. ACL (1) (2019)
Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le
Selfie: Self-supervised Pretraining for Image Embedding. CoRR (2019)
Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le
Unsupervised Data Augmentation. CoRR (2019)
Qizhe Xie, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le
Self-training with Noisy Student improves ImageNet classification. CoRR (2019)
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. CoRR (2018)
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
Semi-Supervised Sequence Modeling with Cross-View Training. EMNLP (2018)
Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong, Quoc V. Le
Learning Longer-term Dependencies in RNNs with Auxiliary Losses. ICLR (Workshop) (2018)
Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda
Findings of the Second Workshop on Neural Machine Translation and Generation. CoRR (2018)
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
Semi-Supervised Sequence Modeling with Cross-View Training. CoRR (2018)
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. ICLR (Poster) (2018)
Tsung-Hsien Wen, Minh-Thang Luong
Latent Topic Conversational Models. CoRR (2018)
Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda
Findings of the Second Workshop on Neural Machine Translation and Generation. NMT@ACL (2018)
Denny Britz, Melody Y. Guan, Minh-Thang Luong
Efficient Attention using a Fixed-Size Memory Representation. CoRR (2017)
Ignacio Cases, Minh-Thang Luong, Christopher Potts
On the Effective Use of Pretraining for Natural Language Inference. CoRR (2017)
Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck
Online and Linear-Time Attention by Enforcing Monotonic Alignments. ICML (2017)
Denny Britz, Melody Y. Guan, Minh-Thang Luong
Efficient Attention using a Fixed-Size Memory Representation. EMNLP (2017)
Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck
Online and Linear-Time Attention by Enforcing Monotonic Alignments. CoRR (2017)
Denny Britz, Anna Goldie, Minh-Thang Luong, Quoc V. Le
Massive Exploration of Neural Machine Translation Architectures. CoRR (2017)
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser
Multi-task Sequence to Sequence Learning. ICLR (Poster) (2016)
Abigail See, Minh-Thang Luong, Christopher D. Manning
Compression of Neural Machine Translation Models via Pruning. CoRR (2016)
Joern Wuebker, Spence Green, John DeNero, Sasa Hasan, Minh-Thang Luong
Models and Inference for Prefix-Constrained Machine Translation. ACL (1) (2016)
Abigail See, Minh-Thang Luong, Christopher D. Manning
Compression of Neural Machine Translation Models via Pruning. CoNLL (2016)
Minh-Thang Luong, Christopher D. Manning
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. CoRR (2016)
Minh-Thang Luong, Christopher D. Manning
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. ACL (1) (2016)
Jiwei Li, Minh-Thang Luong, Dan Jurafsky
A Hierarchical Neural Autoencoder for Paragraphs and Documents. CoRR (2015)
Minh-Thang Luong, Christopher D. Manning
Stanford neural machine translation systems for spoken language domains. IWSLT (Evaluation Campaign) (2015)
Jiwei Li, Minh-Thang Luong, Dan Jurafsky
A Hierarchical Neural Autoencoder for Paragraphs and Documents. ACL (1) (2015)
Minh-Thang Luong, Hieu Pham, Christopher D. Manning
Effective Approaches to Attention-based Neural Machine Translation. CoRR (2015)
Minh-Thang Luong, Michael C. Frank, Mark Johnson
Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning. Trans. Assoc. Comput. Linguistics 1 (2013)
Khe Chai Sim, Minh-Thang Luong
A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition. ASRU (2011)
Minh-Thang Luong, Thuy Dung Nguyen, Min-Yen Kan
Logical Structure Recovery in Scholarly Articles with Rich Document Features. Int. J. Digit. Libr. Syst. 1 (4) (2010)
Thuy Dung Nguyen, Minh-Thang Luong
WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure. SemEval@ACL (2010)
Minh-Thang Luong, Min-Yen Kan
Enhancing Morphological Alignment for Translating Highly Inflected Languages. COLING (2010)
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. EMNLP (2010)
Thuy Dung Nguyen, Min-Yen Kan, Dinh-Trung Dang, Markus Hänse, Ching Hoi Andy Hong, Minh-Thang Luong, Jesse Prabawa Gozali, Kazunari Sugiyama, Yee Fan Tan
ForeCite: towards a reader-centric scholarly digital library. JCDL (2010)