Minh-Thang Luong

According to our database1, Minh-Thang Luong authored at least 39 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Combined scaling for zero-shot transfer learning.
Neurocomputing, October, 2023

Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
MTet: Multi-domain Translation for English and Vietnamese.
CoRR, 2022

2021
Combined Scaling for Zero-shot Transfer Learning.
CoRR, 2021

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Towards Domain-Agnostic Contrastive Learning.
CoRR, 2020

Towards a Human-like Open-Domain Chatbot.
CoRR, 2020

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.
Proceedings of the 8th International Conference on Learning Representations, 2020

Pre-Training Transformers as Energy-Based Cloze Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Self-Training With Noisy Student Improves ImageNet Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Selfie: Self-supervised Pretraining for Image Embedding.
CoRR, 2019

Unsupervised Data Augmentation.
CoRR, 2019

Findings of the Third Workshop on Neural Generation and Translation.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Latent Topic Conversational Models.
CoRR, 2018

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Longer-term Dependencies in RNNs with Auxiliary Losses.
Proceedings of the 6th International Conference on Learning Representations, 2018

Semi-Supervised Sequence Modeling with Cross-View Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Findings of the Second Workshop on Neural Machine Translation and Generation.
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

2017
On the Effective Use of Pretraining for Natural Language Inference.
CoRR, 2017

Massive Exploration of Neural Machine Translation Architectures.
CoRR, 2017

Online and Linear-Time Attention by Enforcing Monotonic Alignments.
Proceedings of the 34th International Conference on Machine Learning, 2017

Efficient Attention using a Fixed-Size Memory Representation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Neural machine translation.
PhD thesis, 2016

Multi-task Sequence to Sequence Learning.
Proceedings of the 4th International Conference on Learning Representations, 2016

Compression of Neural Machine Translation Models via Pruning.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Models and Inference for Prefix-Constrained Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Effective Approaches to Attention-based Neural Machine Translation.
CoRR, 2015

Stanford neural machine translation systems for spoken language domains.
Proceedings of the 12th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2015, 2015

A Hierarchical Neural Autoencoder for Paragraphs and Documents.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013
Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning.
Trans. Assoc. Comput. Linguistics, 2013

2011
A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Logical Structure Recovery in Scholarly Articles with Rich Document Features.
Int. J. Digit. Libr. Syst., 2010

WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

ForeCite: towards a reader-centric scholarly digital library.
Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Enhancing Morphological Alignment for Translating Highly Inflected Languages.
Proceedings of the COLING 2010, 2010


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