Quoc V. Le

Quoc V. Le is a person.

• See: word2vec, Word Embedding Algorithm, Conversation System, Sequence-to-Sequence Learning.

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References

• Google Scholar Author Page: https://scholar.google.com/citations?user=vfT6-XIAAAAJ
• http://research.google.com/pubs/QuocLe.html

2024

• (Zhou, Pujara et al., 2024) ⇒ Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, and Huaixiu Steven Zheng. (2024). “Self-Discover: Large Language Models Self-Compose Reasoning Structures.”
• (Trinh, 2024) ⇒ Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, He He, and Thang Luong. (2024). “Solving Olympiad Geometry Without Human Demonstrations.” In: Nature Journal, 625. doi:10.1038/s41586-023-06747-5

2023

• (Yang, Wang et al., 2023) ⇒ Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, and Xinyun Chen. (2023). “Large Language Models As Optimizers.” doi:10.48550/arXiv.2309.03409

2019

• (Dai et al., 2019) ⇒ Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, and Ruslan Salakhutdinov. (2019). “Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.” In: arXiv, abs/1901.02860.
• (Yang, Dai et al., 2019) ⇒ Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R. Salakhutdinov, and Quoc V. Le. (2019). “Xlnet: Generalized Autoregressive Pretraining for Language Understanding.” Advances in Neural Information Processing Systems, 32.

2018

• (Zoph et al., 2018) ⇒ Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le. (2018). “Learning Transferable Architectures for Scalable Image Recognition.” In: Proceedings of the IEEE conference on computer vision and pattern recognition.

2017

• (Johnson et al., 2017) ⇒ Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. (2017). “Google’s Multilingual Neural Machine Translation System: Enabling Zero-shot Translation.” In: Transactions of the Association for Computational Linguistics, 5.
• (Ramachandran et al., 2017) ⇒ Prajit Ramachandran, Peter J. Liu, and Quoc V. Le. (2017). “Unsupervised Pretraining for Sequence to Sequence Learning.” In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). arViv:1611.02683

2016

• (Zoph & Le, 2016) ⇒ Barret Zoph, and Quoc V. Le. (2016). “Neural Architecture Search with Reinforcement Learning.” In: arXiv preprint arXiv:1611.01578.
• (Neelakantan et al., 2016) ⇒ Arvind Neelakantan, Quoc V. Le, and Ilya Sutskever. (2016). “Neural Programmer: Inducing Latent Programs with Gradient Descent.” In: Proceedings of International Conference on Learning Representations (ICLR 2016).
• (Luong et al., 2016) ⇒ Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. (2016). “Multi-task Sequence to Sequence Learning.” In: Proceedings of 4th International Conference on Learning Representations (ICLR-2016).
• (Wu, Shuster et al., 2016) ⇒ Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean. (2016). “"Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation.” arXiv preprint arXiv:1609.08144

2015

• (Vinyals & Le, 2015) ⇒ Oriol Vinyals, and Quoc V. Le. (2015). “A Neural Conversational Model.” In: Proceedings of Deep Leaning Workshop .
• (Luong, Sutskever et al., 2015) ⇒ Minh-Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba. (2014). “Addressing the Rare Word Problem in Neural Machine Translation.” In: Proceedings of ACL (ACL-2015)
• (Dai et al., 2015) ⇒ Andrew M. Dai, Christopher Olah, and Quoc V. Le. (2015). “Document Embedding with Paragraph Vectors.” In: NIPS Deep Learning Workshop.

2014

• (Le & Mikolov, 2014) ⇒ Quoc V. Le, and Tomáš Mikolov. (2014). “Distributed Representations of Sentences and Documents.” In: Proceedings of The 31st International Conference on Machine Learning (ICML 2014).
• (Sutskever et al., 2014) ⇒ Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. (2014). “Sequence to Sequence Learning with Neural Networks.” In: Advances in Neural Information Processing Systems (NIPS-2014).

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