Elamur Research⌕
☰
home / authors / Quoc Viet Le / all works / page 2

Quoc Viet Le — all works

243 works · page 2 of 3 · 101–200 · ← Quoc Viet Le

1 2 3

  1. Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing ↗arXiv (Cornell University) · no summary yetDai, Zihang et al.2020 · 194 citations
  2. Heteroscedastic Gaussian process regression ↗International Conference on Machine Learning · no summary yetQuoc Viet Le, Alex J. Smola, Stéphane Canu2005 · 181 citations
  3. BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗IEEE Journal of Selected Topics in Signal Processing · no summary yetYu Zhang et al.2022 · 180 citations
  4. A scalable modular convex solver for regularized risk minimization ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetChoon Hui Teo et al.2007 · 174 citations
  5. Long-form factuality in large language modelsConference on Neural Information Processing Systems (NeurIPS)Jerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 165 citations
  6. HyperNetworks ↗arXiv (Cornell University) · no summary yetDavid Ha, Andrew Dai, Quoc Viet Le2016 · 165 citations
  7. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingarXiv:2501.17161Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 160 citations
  8. DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining ↗arXiv:2305.10429 · no summary yetSang Michael Xie et al.2023 · 156 citations
  9. Effective Domain Mixing for Neural Machine TranslationConference on Machine Translation (WMT)Denny Britz, Quoc Le, Reid Pryzant2017 · 156 citations
  10. Chip Placement with Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAzalia Mirhoseini et al.2020 · 154 citations
  11. Specaugment on Large Scale Datasets ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetDaniel Park et al.2020 · 154 citations
  12. Estimating Labels from Label Proportions ↗no summary yetNovi Quadrianto et al.2009 · 154 citations
  13. Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing ↗arXiv (Cornell University) · no summary yetLiang Chen et al.2018 · 150 citations
  14. Neural Programmer: Inducing Latent Programs with Gradient Descent ↗arXiv:1511.04834 · no summary yetArvind Neelakantan, Quoc V. Le, Ilya Sutskever2015 · 142 citations
  15. AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ↗arXiv (Cornell University) · no summary yetEsteban Real et al.2020 · 135 citations
  16. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationarXiv:2310.03214Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 134 citations
  17. Simple synthetic data reduces sycophancy in large language models ↗arXiv:2308.03958 · no summary yetJerry Wei et al.2023 · 134 citations
  18. Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models ↗arXiv:2310.06117 · no summary yetHuaixiu Steven Zheng et al.2023 · 126 citations
  19. Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGabriel Bender et al.2020 · 124 citations
  20. Grasping novel objects with depth segmentation ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetD Rao et al.2010 · 124 citations
  21. Bundle Methods for Machine Learning ↗neural information processing systems · no summary yetQuoc Viet Le, Alex J. Smola, S. V. N. Vishwanathan2007 · 124 citations
  22. Learning to grasp objects with multiple contact points ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetQuoc Viet Le et al.2010 · 118 citations
  23. Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ↗International Conference on Learning Representations · no summary yetXinyun Chen et al.2020 · 116 citations
  24. Learning to Skim Text ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAdams Wei Yu, Hongrae Lee, Quoc Le2017 · 116 citations
  25. A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks ↗no summary yetQuoc Viet Le2015 · 106 citations
  26. Learning Longer-term Dependencies in RNNs with Auxiliary Losses ↗arXiv (Cornell University) · no summary yetTrieu H. Trinh et al.2018 · 104 citations
  27. Rationale-Augmented Ensembles in Language Models ↗arXiv:2207.00747 · no summary yetXuezhi Wang et al.2022 · 101 citations
  28. Fastfood - Computing Hilbert Space Expansions in loglinear time ↗International Conference on Machine Learning · no summary yetQuoc Viet Le, Tamás Sarlós, Alexander Johannes Smola2013 · 101 citations
  29. Neural Input Search for Large Scale Recommendation Models ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetManas Joglekar et al.2020 · 100 citations
  30. A Hierarchical Model for Device Placement ↗International Conference on Learning Representations · no summary yetAzalia Mirhoseini et al.2018 · 100 citations
  31. Transformer Quality in Linear Time ↗arXiv:2202.10447 · no summary yetWeizhe Hua et al.2022 · 99 citations
  32. Pre-Training Transformers as Energy-Based Cloze Models ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetKevin Clark et al.2020 · 98 citations
  33. Direct Optimization of Ranking Measures ↗arXiv (Cornell University) · no summary yetQuoc Viet Le, Alexander Johannes Smola2007 · 94 citations
  34. SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network ↗arXiv (Cornell University) · no summary yetWilliam Chan et al.2021 · 92 citations
  35. Smooth Adversarial Training ↗arXiv (Cornell University) · no summary yetCihang Xie et al.2020 · 92 citations
  36. High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetMorgan Quigley et al.2009 · 91 citations
  37. Domain Adaptive Transfer Learning with Specialist Models ↗arXiv (Cornell University) · no summary yetJiquan Ngiam et al.2018 · 87 citations
  38. Multi-Task Self-Training for Learning General Representations ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetGolnaz Ghiasi et al.2021 · 86 citations
  39. Pay Attention to MLPs ↗arXiv (Cornell University) · no summary yetHanxiao Liu et al.2021 · 82 citations
  40. Learning a Natural Language Interface with Neural Programmer ↗arXiv:1611.08945 · no summary yetArvind Neelakantan et al.2016 · 79 citations
  41. Selfie: Self-supervised Pretraining for Image Embedding ↗arXiv (Cornell University) · no summary yetTrieu H. Trinh, Minh-Thang Luong, Quoc Viet Le2019 · 78 citations
  42. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetTu Vu et al.2024 · 74 citations
  43. AirDialogue: An Environment for Goal-Oriented Dialogue Research ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetWei Wei et al.2018 · 73 citations
  44. Symbol tuning improves in-context learning in language models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJerry Wei et al.2023 · 68 citations
  45. Improving 3D Object Detection Through Progressive Population Based Augmentation ↗Lecture notes in computer science · no summary yetShuyang Cheng et al.2020 · 67 citations
  46. Noise2Music: Text-conditioned Music Generation with Diffusion Models ↗arXiv (Cornell University) · no summary yetQingqing Huang et al.2023 · 66 citations
  47. Mapping maintenance for data integration systems ↗no summary yetRobert McCann et al.2005 · 64 citations
  48. Inverse Scaling Can Become U-Shaped ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJason Wei et al.2023 · 62 citations
  49. MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBo Chen et al.2020 · 62 citations
  50. Tighter Bounds for Structured Estimation ↗no summary yetOlivier Chapelle et al.2008 · 62 citations
  51. Learning Graph Matching ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetTibério S. Caetano et al.2007 · 62 citations
  52. Self-Discover: Large Language Models Self-Compose Reasoning Structures ↗arXiv:2402.03620 · no summary yetPei Zhou et al.2024 · 61 citations
  53. A full-stack search technique for domain optimized deep learning accelerators ↗arXiv:2105.12842 · no summary yetDan Zhang et al.2022 · 55 citations
  54. Evolving Normalization-Activation Layers ↗arXiv (Cornell University) · no summary yetHanxiao Liu et al.2020 · 54 citations
  55. STraTA: Self-Training with Task Augmentation for Better Few-shot Learning ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetTu Vu et al.2021 · 52 citations
  56. Scalable learning for object detection with GPU hardware ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetAdam Coates et al.2009 · 52 citations
  57. Joint calibration of multiple sensors ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetQuoc Viet Le, Andrew Ng2009 · 52 citations
  58. NATURAL PLAN: Benchmarking LLMs on Natural Language Planning ↗arXiv:2406.04520 · no summary yetHuaixiu Steven Zheng et al.2024 · 51 citations
  59. Searching for Efficient Transformers for Language Modeling ↗neural information processing systems · no summary yetDavid R. So et al.2021 · 51 citations
  60. Transformer-XL: Language Modeling with Longer-Term Dependency ↗no summary yetZihang Dai et al.2018 · 51 citations
  61. A Bayesian Perspective on Generalization and Stochastic Gradient Descent ↗arXiv (Cornell University) · no summary yetSamuel L. Smith, Quoc Viet Le2017 · 51 citations
  62. An Online Sequence-to-Sequence Model Using Partial Conditioning ↗arXiv (Cornell University) · no summary yetNavdeep Jaitly et al.2015 · 49 citations
  63. Proximal regularization for online and batch learning ↗International Conference on Machine Learning · no summary yetChuong B. Do, Quoc Viet Le, Chuan-Sheng Foo2009 · 45 citations
  64. Latent Sequence Decompositions ↗arXiv (Cornell University) · no summary yetChan, William et al.2016 · 42 citations
  65. Low-cost accelerometers for robotic manipulator perception ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetMorgan Quigley et al.2010 · 40 citations
  66. Primer: Searching for Efficient Transformers for Language Modeling ↗arXiv (Cornell University) · no summary yetDavid R. So et al.2021 · 39 citations
  67. Saccader: Improving Accuracy of Hard Attention Models for Vision ↗arXiv (Cornell University) · no summary yetGamaleldin F. Elsayed, Simon Kornblith, Quoc Viet Le2019 · 39 citations
  68. Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetXiao Ma et al.2024 · 36 citations
  69. Searching for Fast Model Families on Datacenter Accelerators ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSheng Li et al.2021 · 36 citations
  70. Appendix: Building high-level features using large scale unsupervised learning ↗no summary yetQuoc Viet Le et al.2012 · 35 citations
  71. Diversity and Depth in Per-Example Routing Models ↗International Conference on Learning Representations · no summary yetPrajit Ramachandran, Quoc Viet Le2018 · 33 citations
  72. Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 ↗arXiv:2502.03544 · no summary yetYuri Chervonyi et al.2025 · 31 citations
  73. Combined Scaling for Zero-shot Transfer Learning ↗arXiv:2111.10050 · no summary yetHieu Pham et al.2021 · 31 citations
  74. AutoHAS: Efficient Hyperparameter and Architecture Search ↗arXiv (Cornell University) · no summary yetXuanyi Dong et al.2020 · 31 citations
  75. Neural Program Synthesis with Priority Queue Training ↗arXiv (Cornell University) · no summary yetDaniel A. Abolafia et al.2018 · 30 citations
  76. Simpler knowledge-based support vector machines ↗International Conference on Machine Learning · no summary yetQuoc Viet Le, Alex J. Smola, Thomas Gärtner2006 · 30 citations
  77. Using Videos to Evaluate Image Model Robustness ↗arXiv (Cornell University) · no summary yetKeren Gu et al.2019 · 28 citations
  78. Intriguing Properties of Adversarial Examples ↗arXiv (Cornell University) · no summary yetEkin D. Cubuk et al.2017 · 28 citations
  79. High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetRuben Villegas et al.2019 · 26 citations
  80. Do Language Models Have Common Sense ↗no summary yetTrieu H. Trinh, Quoc Viet Le2018 · 26 citations
  81. Learning invariant features of tumor signatures ↗IEEE International Symposium on Biomedical Imaging (ISBI) · no summary yetQuoc Viet Le et al.2012 · 26 citations
  82. Evolving Reinforcement Learning Algorithms ↗arXiv (Cornell University) · no summary yetJohn D. Co-Reyes et al.2021 · 22 citations
  83. Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ↗arXiv (Cornell University) · no summary yetMaithra Raghu et al.2017 · 21 citations
  84. Hierarchical Planning for Device Placement ↗no summary yetAzalia Mirhoseini et al.2018 · 20 citations
  85. HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning ↗Lecture notes in computer science · no summary yetZhecan Wang et al.2024 · 18 citations
  86. Large-Scale Multiclass Transduction ↗no summary yetThomas Gärtner et al.2005 · 18 citations
  87. Using Web Co-occurrence Statistics for Improving Image Categorization ↗arXiv (Cornell University) · no summary yetSamy Bengio et al.2013 · 17 citations
  88. Faster Discovery of Neural Architectures by Searching for Paths in a Large Model ↗International Conference on Learning Representations · no summary yetHieu Pham et al.2018 · 15 citations
  89. Towards Autonomous Mathematics Research ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 13 citations
  90. Addendum: A graph placement methodology for fast chip design ↗Nature · no summary yetAnna Goldie et al.2024 · 13 citations
  91. The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study ↗arXiv (Cornell University) · no summary yetDaniel Park et al.2019 · 13 citations
  92. Fastfood: Approximate Kernel Expansions in Loglinear Time ↗arXiv (Cornell University) · no summary yetQuoc Viet Le, Tamás Sarlós, Alexander Johannes Smola2014 · 13 citations
  93. Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 12 citations
  94. PyGlove: Symbolic Programming for Automated Machine Learning ↗arXiv (Cornell University) · no summary yetDaiyi Peng et al.2021 · 12 citations
  95. Towards Domain-Agnostic Contrastive Learning ↗arXiv (Cornell University) · no summary yetVikas Verma et al.2020 · 12 citations
  96. EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ↗arXiv:2410.06238 · no summary yetAllen Nie et al.2024 · 9 citations
  97. Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour ↗IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · no summary yetArissa Wongpanich et al.2021 · 9 citations
  98. Transductive Gaussian Process Regression with Automatic Model Selection ↗Lecture notes in computer science · no summary yetQuoc Viet Le et al.2006 · 9 citations
  99. Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ↗arXiv (Cornell University) · no summary yetDenny Zhou et al.2020 · 8 citations
  100. Mixtape: Breaking the Softmax Bottleneck Efficiently ↗neural information processing systems · no summary yetZhilin Yang et al.2019 · 8 citations

1 2 3

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/quoc-viet-le/works/page/2/