Quoc V. Le

119.7k citations

135 papers · 31.6k indexed · 28 hit papers · h-index 64

Computer Vision and Pattern Recognition top 0.02%
- Advanced Neural Network Applications 32
- Multimodal Machine Learning Applications 19
Artificial Intelligence top 0.01%
- Topic Modeling 32
- Natural Language Processing Techniques 30
- Domain Adaptation and Few-Shot Learning 23
- Machine Learning and Data Classification 13
- Machine Learning and Algorithms 12
- Speech Recognition and Synthesis 11
Signal Processing top 0.05%
Media Technology top 0.2%
Industrial and Manufacturing Engineering top 0.2%

Co-authors: Mingxing Tan Ruoming Pang Tomáš Mikolov Barret Zoph Andrew Y. Ng Ekin D. Cubuk Minh-Thang Luong Oriol Vinyals
Cited by: Computer Vision and Pattern Recognition Artificial Intelligence Signal Processing
Journals: Transactions of the Association for Computational Linguistics (3 papers)Nature (3 papers)Journal of Machine Learning Research (2 papers)
Partner nations: United States Australia Germany

In The Last Decade

Quoc V. Le

130 papers receiving 29.8k citations

Hit Papers

15 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2024 Nature
2023 Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
2022 Computer
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 Nature
2021 Meta Pseudo Labels
2020 Adversarial Examples Improve Image Recognition
2020 arXiv (Cornell University)
2020 Self-Training With Noisy Student Improves ImageNet Classification
2020 EfficientDet: Scalable and Efficient Object Detection
2019 Transactions of the Association for Computational Linguistics
2019 AutoAugment: Learning Augmentation Strategies From Data
2019 arXiv (Cornell University)
2019 Do Better ImageNet Models Transfer Better?
2018 International Conference on Machine Learning
2018 International Conference on Machine Learning
2017 Transactions of the Association for Computational Linguistics
2016 arXiv (Cornell University)
2016 Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
2015 Addressing the Rare Word Problem in Neural Machine Translation
2014 Transactions of the Association for Computational Linguistics
2014 arXiv (Cornell University)
2013 Building high-level features using large scale unsupervised learning
2013 On rectified linear units for speech processing
2012 International Conference on Machine Learning
2012 Neural Information Processing Systems
2011 International Conference on Machine Learning
2011 Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

Peers

Countries citing papers authored by Quoc V. Le

Since Specialization

Citations

This map shows the geographic impact of Quoc V. Le's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Quoc V. Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quoc V. Le more than expected).

Fields of papers citing papers by Quoc V. Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc V. Le. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Quoc V. Le. The network helps show where Quoc V. Le may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Quoc V. Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Quoc V. Le Line = papers co-authored together Quoc V. Le links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation Tu Vu,Mohit Iyyer,Xuezhi Wang,Noah Constant,Jerry Wei,Jason Lee,Chris Tar,Yun-Hsuan Sung,Denny Zhou,Quoc V. Le,Thang Luong	2024	25
2	Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Thembreakdown → Mirac Süzgün,Nathan Scales,Nathanael Schärli,Sebastian Gehrmann,Yi Tay,Hyung Won Chung,Aakanksha Chowdhery,Quoc V. Le,Ed H.,Denny Zhou,Jason Lee	2023	121
3	MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices Bo Chen,Golnaz Ghiasi,Hanxiao Liu,Tsung-Yi Lin,Yael Raden,Hartwig Adam,Quoc V. Le	2020	35
4	DESIGN OF INTELLIGENT ALGORITHM BASED AIR VOLUME CONTROL SYSTEM FOR CENTRAL AIR CONDITIONING International Journal of Mechatronics and Applied Mechanics ·FranciscoMellen Blanco,Quoc V. Le,Rd. Rohmat Saedudin,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	2020	0
5	Unsupervised Data Augmentation for Consistency Training Neural Information Processing Systems ·Qizhe Xie,Zihang Dai,Eduard Hovy,Thang Luong,Quoc V. Le	2020	77
6	MixConv: Mixed Depthwise Convolutional Kernels arXiv (Cornell University) ·Mingxing Tan,Quoc V. Le	2019	21
7	Semi-Supervised Sequence Modeling with Cross-View Training Kevin B. Clark,Minh-Thang Luong,Christopher D. Manning,Quoc V. Le	2018	177
8	Faster Discovery of Neural Architectures by Searching for Paths in a Large Model International Conference on Learning Representations ·Hieu Pham,Melody Y. Guan,Barret Zoph,Quoc V. Le,Jeff Dean	2018	6
9	Understanding and Simplifying One-Shot Architecture Searchbreakdown → International Conference on Machine Learning ·Gabriel Bender,Pieter-Jan Kindermans,Barret Zoph,Vijay Vasudevan,Quoc V. Le	2018	234
10	Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision Liang Chen,Jonathan Berant,Quoc V. Le,Kenneth D. Forbus,Ni Lao	2017	187
11	Unsupervised Pretraining for Sequence to Sequence Learning Prajit Ramachandran,J. BERR,Quoc V. Le	2017	98
12	Understanding Generalization and Stochastic Gradient Descent arXiv (Cornell University) ·Samuel Smith,Quoc V. Le	2017	1
13	Listen, attend and spell: A neural network for large vocabulary conversational speech recognitionbreakdown → William Chan,Navdeep Jaitly,Quoc V. Le,Oriol Vinyals	2016	1327
14	Neural Architecture Search with Reinforcement Learningbreakdown → arXiv (Cornell University) ·Barret Zoph,Quoc V. Le	2016	336
15	Building high-level features using large scale unsupervised learningbreakdown → Quoc V. Le	2013	1013
16	Large Scale Distributed Deep Networksbreakdown → Neural Information Processing Systems ·Jay B. Dean,Greg S. Corrado,Rajat Monga,Kai Chen,Matthieu Devin,M. Mao,Marc’Aurelio Ranzato,Andrew Senior,Paul A. Tucker,Ke Yang,Quoc V. Le,Andrew Y. Ng	2012	1706
17	Measuring Invariances in Deep Networks Neural Information Processing Systems ·Ian Goodfellow,Honglak Lee,Quoc V. Le,Andrew Saxe,Andrew Y. Ng	2009	188
18	Tighter Bounds for Structured Estimation ANU Open Research (Australian National University) ·Olivier Chapelle,Joshua Shulman,Choon Hui Teo,Quoc V. Le,Alex Smola	2008	33
19	Mapping maintenance for data integration systems Very Large Data Bases ·Robert McCann,Bedoor AlShebli,Quoc V. Le,Hoa T. Nguyen,Тетяна Чухно,AnHai Doan	2005	37
20	Large-Scale Multiclass Transduction Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) ·Thomas Gärtner,Quoc V. Le,Simon Burton,Alex Smola,S. V. N. Vishwanathan	2005	10

About Quoc V. Le

Quoc V. Le is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 135 papers that have together received 31.6k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Advanced Neural Network Applications (32 papers), Natural Language Processing Techniques (30 papers), Domain Adaptation and Few-Shot Learning (23 papers), Multimodal Machine Learning Applications (19 papers), Machine Learning and Data Classification (13 papers), Machine Learning and Algorithms (12 papers) and Speech Recognition and Synthesis (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.4k citations), Artificial Intelligence (18.0k citations) and Signal Processing (4.1k citations). Quoc V. Le has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Mingxing Tan, Ruoming Pang, Tomáš Mikolov, Barret Zoph, Andrew Y. Ng, Ekin D. Cubuk, Minh-Thang Luong, Oriol Vinyals, Qizhe Xie and Vijay Vasudevan. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Nature, Journal of Machine Learning Research, Computer and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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