Thang Luong

According to our database1, Thang Luong authored at least 17 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Solving olympiad geometry without human demonstrations.
Nat., January, 2024

2023
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.
CoRR, 2023

Symbolic Discovery of Optimization Algorithms.
CoRR, 2023

Symbolic Discovery of Optimization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
Trans. Mach. Learn. Res., 2022

2021
Towards Domain-Agnostic Contrastive Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Unsupervised Data Augmentation for Consistency Training.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Mixtape: Breaking the Softmax Bottleneck Efficiently.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
Learning Distributed Representations for Multilingual Text Sequences.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Bilingual Word Representations with Monolingual Quality in Mind.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Effective Approaches to Attention-based Neural Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

When Are Tree Structures Necessary for Deep Learning of Representations?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Deep Neural Language Models for Machine Translation.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Addressing the Rare Word Problem in Neural Machine Translation.
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
Better Word Representations with Recursive Neural Networks for Morphology.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013


  Loading...