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Quoc Viet Le — all works

243 works · page 1 of 3 · 1–100 · ← Quoc Viet Le

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  1. Sequence to Sequence Learning with Neural NetworksarXiv:1409.3215Ilya Sutskever, Oriol Vinyals, Quoc V. Le2014 · 18,409 citations
  2. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsarXiv:2201.11903Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,499 citations
  3. Searching for MobileNetV3 ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAndrew Howard et al.2019 · 9,633 citations
  4. EfficientDet: Scalable and Efficient Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMingxing Tan, Ruoming Pang, Quoc Viet Le2020 · 9,341 citations
  5. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ↗arXiv:1609.08144 · no summary yetYonghui Wu et al.2016 · 6,904 citations
  6. Learning Transferable Architectures for Scalable Image RecognitionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,583 citations
  7. Distributed Representations of Sentences and DocumentsarXiv:1405.4053Quoc V. Le, Tomas Mikolov2014 · 5,803 citations
  8. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
  9. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  10. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetZihang Dai et al.2019 · 3,901 citations
  11. XLNet: Generalized Autoregressive Pretraining for Language UnderstandingarXiv:1906.08237Zhilin Yang, Zihang Dai, Yiming Yang, et al.2019 · 3,857 citations
  12. SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionInterspeechDaniel S. Park, William Chan, Yu Zhang, et al.2019 · 3,837 citations
  13. MnasNet: Platform-Aware Neural Architecture Search for Mobile ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMingxing Tan et al.2019 · 3,454 citations
  14. Scaling Instruction-Finetuned Language Models ↗arXiv:2210.11416 · no summary yetHyung Won Chung et al.2022 · 3,392 citations
  15. Randaugment: Practical automated data augmentation with a reduced search space ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetEkin D. Cubuk et al.2020 · 3,233 citations
  16. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsarXiv:2203.11171Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,121 citations
  17. Large Scale Distributed Deep Networks ↗no summary yetJay B. Dean et al.2012 · 3,047 citations
  18. AutoAugment: Learning Augmentation Strategies From Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetEkin D. Cubuk et al.2019 · 2,810 citations
  19. Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationTransactions of the Association for Computational Linguistics (TACL)Melvin Johnson, Mike Schuster, Quoc V. Le, et al.2017 · 2,630 citations
  20. Scalable and accurate deep learning with electronic health records ↗npj Digital Medicine · no summary yetAlvin Rajkomar et al.2018 · 2,607 citations
  21. Self-Training With Noisy Student Improves ImageNet Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetQizhe Xie et al.2020 · 2,536 citations
  22. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetWilliam Chan et al.2016 · 2,374 citations
  23. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGolnaz Ghiasi, Tsung-Yi Lin, Quoc Viet Le2019 · 2,047 citations
  24. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  25. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  26. Exploiting Similarities among Languages for Machine Translation ↗arXiv:1309.4168 (2013) · no summary yetTomas Mikolov, Quoc V. Le, I. Sutskever2013 · 1,838 citations
  27. A Neural Conversational ModelarXiv:1506.05869Oriol Vinyals, Quoc Le2015 · 1,791 citations
  28. Tacotron: Towards End-to-End Speech Synthesis ↗Interspeech (USB) · no summary yetYuxuan Wang et al.2017 · 1,786 citations
  29. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML)Chao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,615 citations
  30. Do Better ImageNet Models Transfer Better? ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSimon Kornblith, Jonathon Shlens, Quoc Viet Le2019 · 1,342 citations
  31. Attention Augmented Convolutional Networks ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetIrwan Bello et al.2019 · 1,246 citations
  32. Efficient Neural Architecture Search via Parameters Sharing ↗International Conference on Machine Learning · no summary yetHieu Pham et al.2018 · 1,209 citations
  33. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
  34. Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGolnaz Ghiasi et al.2021 · 1,178 citations
  35. EfficientNetV2: Smaller Models and Faster Training ↗arXiv (Cornell University) · no summary yetMingxing Tan, Quoc Viet Le2021 · 1,171 citations
  36. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemFindings of the Association for Computational LinguisticsMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,119 citations
  37. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗arXiv:1701.06538 · no summary yetNoam Shazeer et al.2017 · 1,111 citations
  38. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis ↗no summary yetQuoc Viet Le et al.2011 · 969 citations
  39. Grounded Compositional Semantics for Finding and Describing Images with SentencesTransactions of the Association for Computational Linguistics (TACL)Richard Socher, Andrej Karpathy, Quoc V. Le, et al.2014 · 932 citations
  40. On optimization methods for deep learning ↗International Conference on Machine Learning · no summary yetJiquan Ngiam et al.2011 · 880 citations
  41. Searching for Activation Functions ↗arXiv:1710.05941 · no summary yetPrajit Ramachandran, Barret Zoph, Quoc V. Le2017 · 856 citations
  42. Addressing the Rare Word Problem in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Thang Luong, Ilya Sutskever, Quoc Le, et al.2015 · 832 citations
  43. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism ↗arXiv:1811.06965 · no summary yetYanping Huang et al.2018 · 809 citations
  44. CoAtNet: Marrying Convolution and Attention for All Data Sizes ↗arXiv (Cornell University) · no summary yetDai, Zihang et al.2021 · 774 citations
  45. Learning to Rank with Nonsmooth Cost Functions ↗The MIT Press eBooks · no summary yetChristopher J. C. Burges, Robert J. Ragno, Quoc Viet Le2007 · 774 citations
  46. AutoAugment: Learning Augmentation Policies from Data ↗arXiv (Cornell University) · no summary yetEkin D. Cubuk et al.2018 · 726 citations
  47. Semi-supervised Sequence Learning ↗arXiv (Cornell University) · no summary yetAndrew M. Dai, Quoc Viet Le2015 · 723 citations
  48. Efficient Neural Architecture Search via Parameter Sharing ↗arXiv:1802.03268 · no summary yetHieu Pham et al.2018 · 699 citations
  49. Don't Decay the Learning Rate, Increase the Batch Size ↗arXiv:1711.00489 · no summary yetSamuel L. Smith et al.2017 · 680 citations
  50. A graph placement methodology for fast chip design ↗Nature · no summary yetAzalia Mirhoseini et al.2021 · 633 citations
  51. Regularized Evolution for Image Classifier Architecture Search ↗AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · no summary yetEsteban Real et al.2019 · 615 citations
  52. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
  53. Large-Scale Evolution of Image Classifiers ↗arXiv (Cornell University) · no summary yetEsteban Real et al.2017 · 602 citations
  54. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  55. Towards a Human-like Open-Domain ChatbotarXiv:2001.09977Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 592 citations
  56. Learning Data Augmentation Strategies for Object Detection ↗Lecture notes in computer science · no summary yetBarret Zoph et al.2020 · 587 citations
  57. Massive Exploration of Neural Machine Translation ArchitecturesConference on Empirical Methods in Natural Language Processing (EMNLP)Denny Britz, Anna Goldie, Minh-Thang Luong, et al.2017 · 574 citations
  58. A Simple Way to Initialize Recurrent Networks of Rectified Linear Units ↗arXiv (Cornell University) · no summary yetQuoc Viet Le, Navdeep Jaitly, Geoffrey E. Hinton2015 · 571 citations
  59. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYingwei Li et al.2022 · 563 citations
  60. Meta Pseudo Labels ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHieu Pham et al.2021 · 551 citations
  61. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetChen Liang et al.2017 · 522 citations
  62. Understanding and Simplifying One-Shot Architecture Search ↗International Conference on Machine Learning · no summary yetGabriel Bender et al.2018 · 515 citations
  63. A Simple Method for Commonsense Reasoning ↗arXiv:1806.02847 · no summary yetTrieu H. Trinh, Quoc V. Le2018 · 507 citations
  64. Adversarial Examples Improve Image Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2020 · 506 citations
  65. Solving olympiad geometry without human demonstrationsNatureTrieu H. Trinh, Yuhuai Wu, Quoc V. Le, et al.2024 · 498 citations
  66. DropBlock: A regularization method for convolutional networks ↗arXiv (Cornell University) · no summary yetGolnaz Ghiasi, Tsung-Yi Lin, Quoc Viet Le2018 · 496 citations
  67. Semi-Supervised Sequence Modeling with Cross-View TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.2018 · 494 citations
  68. On rectified linear units for speech processing ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetMatthew D. Zeiler et al.2013 · 440 citations
  69. Rethinking Pre-training and Self-training ↗arXiv (Cornell University) · no summary yetBarret Zoph et al.2020 · 428 citations
  70. Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
  71. Learning Graph Matching ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetTibério S. Caetano et al.383 citations
  72. Listen, Attend and Spell ↗arXiv (Cornell University) · no summary yetWilliam Chan et al.2015 · 365 citations
  73. COFI RANK - Maximum margin matrix factorization for collaborative ranking ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetMarkus Weimer et al.2007 · 349 citations
  74. Device Placement Optimization with Reinforcement Learning ↗arXiv:1706.04972 · no summary yetAzalia Mirhoseini et al.2017 · 343 citations
  75. Recurrent neural networks for noise reduction in robust ASR ↗Interspeech (USB) · no summary yetAndrew L. Maas et al.2012 · 340 citations
  76. Measuring Invariances in Deep Networks ↗no summary yetIan Goodfellow et al.2009 · 330 citations
  77. Unsupervised Pretraining for Sequence to Sequence LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Prajit Ramachandran, Peter Liu, Quoc Le2017 · 327 citations
  78. Carbon Emissions and Large Neural Network TrainingarXiv:2104.10350David Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 323 citations
  79. Mixture-Of-Experts with Expert Choice Routing ↗neural information processing systems · no summary yetYanqi Zhou et al.2022 · 321 citations
  80. Multi-task Sequence to Sequence LearningarXiv:1511.06114Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.2015 · 321 citations
  81. Fastfood: approximating kernel expansions in loglinear time ↗no summary yetQuoc Viet Le, Tamás Sarlós, Alex J. Smola2013 · 317 citations
  82. MixConv: Mixed Depthwise Convolutional Kernels ↗arXiv (Cornell University) · no summary yetMingxing Tan, Quoc Viet Le2019 · 310 citations
  83. Neural Combinatorial Optimization with Reinforcement Learning ↗arXiv (Cornell University) · no summary yetIrwan Bello et al.2016 · 299 citations
  84. Tiled convolutional neural networks ↗neural information processing systems · no summary yetJiquan Ngiam et al.2010 · 298 citations
  85. Symbolic Discovery of Optimization Algorithms ↗arXiv:2302.06675 · no summary yetXiangning Chen et al.2023 · 297 citations
  86. BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 285 citations
  87. BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models ↗Lecture notes in computer science · no summary yetJiahui Yu et al.2020 · 277 citations
  88. Adding Gradient Noise Improves Learning for Very Deep Networks ↗arXiv (Cornell University) · no summary yetArvind Neelakantan et al.2015 · 274 citations
  89. Document Embedding with Paragraph Vectors ↗arXiv (Cornell University) · no summary yetAndrew M. Dai, Christopher Olah, Quoc Viet Le2015 · 272 citations
  90. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
  91. The Evolved Transformer ↗arXiv (Cornell University) · no summary yetDavid R. So, Liang Chen, Quoc Viet Le2019 · 270 citations
  92. ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning ↗no summary yetQuoc Viet Le et al.2011 · 269 citations
  93. Neural Optimizer Search with Reinforcement Learning ↗arXiv (Cornell University) · no summary yetIrwan Bello et al.2017 · 263 citations
  94. Improved Noisy Student Training for Automatic Speech Recognition ↗Interspeech (USB) · no summary yetDaniel Park et al.2020 · 251 citations
  95. CondConv: Conditionally Parameterized Convolutions for Efficient Inference ↗arXiv (Cornell University) · no summary yetBrandon Yang et al.2019 · 235 citations
  96. Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition ↗arXiv (Cornell University) · no summary yetYu Zhang et al.2020 · 233 citations
  97. Building high-level features using large scale unsupervised learning ↗International Conference on Machine Learning · no summary yetMarc’Aurelio Ranzato et al.2012 · 228 citations
  98. SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXianzhi Du et al.2020 · 227 citations
  99. Bundle Methods for Regularized Risk Minimization ↗no summary yetChoon Hui Teo et al.2010 · 227 citations
  100. Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. ↗arXiv (Cornell University) · no summary yetYuxuan Wang et al.2017 · 200 citations

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