---
title: "Quoc Viet Le — all works — Elamur Research"
description: "All 243 works of Quoc Viet Le in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/quoc-viet-le/works/"
---
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# Quoc Viet Le — all works

243 works · page 1 of 3 · 1–100 · [← Quoc Viet Le](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/)

**1** [2](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/works/page/2/) [3](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/works/page/3/) [next →](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/works/page/2/)

1. [**Sequence to Sequence Learning with Neural Networks arXiv:1409.3215**Ilya Sutskever, Oriol Vinyals, Quoc V. Le*2014 · 18,409 citations*](https://md.research.elamur.ai/free/en/papers/sutskever-2014-sequence-sequence-learning-neural-networks/)
2. [**Chain-of-Thought Prompting Elicits Reasoning in Large Language Models arXiv:2201.11903**Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.*2022 · 11,499 citations*](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/)
3. **[Searching for MobileNetV3 ↗](https://doi.org/10.1109/iccv.2019.00140) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Andrew Howard et al.*2019 · 9,633 citations*
4. **[EfficientDet: Scalable and Efficient Object Detection ↗](https://doi.org/10.1109/cvpr42600.2020.01079) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mingxing Tan, Ruoming Pang, Quoc Viet Le*2020 · 9,341 citations*
5. **[Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ↗](https://arxiv.org/abs/1609.08144) arXiv:1609.08144 · no summary yet**Yonghui Wu et al.*2016 · 6,904 citations*
6. **[Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Barret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.*2017 · 6,583 citations*
7. [**Distributed Representations of Sentences and Documents arXiv:1405.4053**Quoc V. Le, Tomas Mikolov*2014 · 5,803 citations*](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/)
8. **[EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/tan-2019-efficientnet-rethinking-model-scaling-convolutional/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Mingxing Tan, Quoc V. Le*2019 · 5,416 citations*
9. [**Neural Architecture Search with Reinforcement Learning arXiv:1611.01578**Barret Zoph, Quoc V. Le*2016 · 4,413 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2016-neural-architecture-search-reinforcement-learning/)
10. **[Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ↗](https://aclanthology.org/P19-1285/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zihang Dai et al.*2019 · 3,901 citations*
11. [**XLNet: Generalized Autoregressive Pretraining for Language Understanding arXiv:1906.08237**Zhilin Yang, Zihang Dai, Yiming Yang, et al.*2019 · 3,857 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-xlnet-generalized-autoregressive-pretraining-language/)
12. **[SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/park-2019-specaugment-simple-data-augmentation-method/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Daniel S. Park, William Chan, Yu Zhang, et al.*2019 · 3,837 citations*
13. **[MnasNet: Platform-Aware Neural Architecture Search for Mobile ↗](https://doi.org/10.1109/cvpr.2019.00293) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mingxing Tan et al.*2019 · 3,454 citations*
14. **[Scaling Instruction-Finetuned Language Models ↗](https://arxiv.org/abs/2210.11416) arXiv:2210.11416 · no summary yet**Hyung Won Chung et al.*2022 · 3,392 citations*
15. **[Randaugment: Practical automated data augmentation with a reduced search space ↗](https://doi.org/10.1109/cvprw50498.2020.00359) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Ekin D. Cubuk et al.*2020 · 3,233 citations*
16. [**Self-Consistency Improves Chain of Thought Reasoning in Language Models arXiv:2203.11171**Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.*2022 · 3,121 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-self-consistency-improves-chain-thought/)
17. **[Large Scale Distributed Deep Networks ↗](https://openalex.org/W2168231600) no summary yet**Jay B. Dean et al.*2012 · 3,047 citations*
18. **[AutoAugment: Learning Augmentation Strategies From Data ↗](https://doi.org/10.1109/cvpr.2019.00020) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ekin D. Cubuk et al.*2019 · 2,810 citations*
19. **[Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/johnson-2017-google-s-multilingual-neural-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Melvin Johnson, Mike Schuster, Quoc V. Le, et al.*2017 · 2,630 citations*
20. **[Scalable and accurate deep learning with electronic health records ↗](https://doi.org/10.1038/s41746-018-0029-1) npj Digital Medicine · no summary yet**Alvin Rajkomar et al.*2018 · 2,607 citations*
21. **[Self-Training With Noisy Student Improves ImageNet Classification ↗](https://doi.org/10.1109/cvpr42600.2020.01070) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Qizhe Xie et al.*2020 · 2,536 citations*
22. **[Listen, attend and spell: A neural network for large vocabulary conversational speech recognition ↗](https://doi.org/10.1109/icassp.2016.7472621) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**William Chan et al.*2016 · 2,374 citations*
23. **[NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00720) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Golnaz Ghiasi, Tsung-Yi Lin, Quoc Viet Le*2019 · 2,047 citations*
24. [**Finetuned Language Models Are Zero-Shot Learners arXiv:2109.01652**Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.*2021 · 1,954 citations*](https://md.research.elamur.ai/free/en/papers/wei-2021-finetuned-language-models-zero-shot/)
25. [**Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848**Qizhe Xie, Zihang Dai, Eduard Hovy, et al.*2019 · 1,871 citations*](https://md.research.elamur.ai/free/en/papers/xie-2019-unsupervised-data-augmentation-consistency-training/)
26. **[Exploiting Similarities among Languages for Machine Translation ↗](https://arxiv.org/abs/1309.4168) arXiv:1309.4168 (2013) · no summary yet**Tomas Mikolov, Quoc V. Le, I. Sutskever*2013 · 1,838 citations*
27. [**A Neural Conversational Model arXiv:1506.05869**Oriol Vinyals, Quoc Le*2015 · 1,791 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2015-neural-conversational-model/)
28. **[Tacotron: Towards End-to-End Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2017-1452) Interspeech (USB) · no summary yet**Yuxuan Wang et al.*2017 · 1,786 citations*
29. **[Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Chao Jia, Yinfei Yang, Ye Xia, et al.*2021 · 1,615 citations*
30. **[Do Better ImageNet Models Transfer Better? ↗](https://doi.org/10.1109/cvpr.2019.00277) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Simon Kornblith, Jonathon Shlens, Quoc Viet Le*2019 · 1,342 citations*
31. **[Attention Augmented Convolutional Networks ↗](https://doi.org/10.1109/iccv.2019.00338) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Irwan Bello et al.*2019 · 1,246 citations*
32. **[Efficient Neural Architecture Search via Parameters Sharing ↗](https://openalex.org/W2962746461) International Conference on Machine Learning · no summary yet**Hieu Pham et al.*2018 · 1,209 citations*
33. [**Program Synthesis with Large Language Models arXiv:2108.07732**Jacob Austin, Augustus Odena, Maxwell Nye, et al.*2021 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/)
34. **[Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation ↗](https://doi.org/10.1109/cvpr46437.2021.00294) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Golnaz Ghiasi et al.*2021 · 1,178 citations*
35. **[EfficientNetV2: Smaller Models and Faster Training ↗](https://arxiv.org/abs/2104.00298) arXiv (Cornell University) · no summary yet**Mingxing Tan, Quoc Viet Le*2021 · 1,171 citations*
36. **[Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them](https://md.research.elamur.ai/free/en/papers/suzgun-2023-challenging-big-bench-tasks-whether/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mirac Suzgun, Nathan Scales, Nathanael Schärli, et al.*2023 · 1,119 citations*
37. **[Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗](https://arxiv.org/abs/1701.06538) arXiv:1701.06538 · no summary yet**Noam Shazeer et al.*2017 · 1,111 citations*
38. **[Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis ↗](https://doi.org/10.1109/cvpr.2011.5995496) no summary yet**Quoc Viet Le et al.*2011 · 969 citations*
39. **[Grounded Compositional Semantics for Finding and Describing Images with Sentences](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Richard Socher, Andrej Karpathy, Quoc V. Le, et al.*2014 · 932 citations*
40. **[On optimization methods for deep learning ↗](https://openalex.org/W2102017903) International Conference on Machine Learning · no summary yet**Jiquan Ngiam et al.*2011 · 880 citations*
41. **[Searching for Activation Functions ↗](https://arxiv.org/abs/1710.05941) arXiv:1710.05941 · no summary yet**Prajit Ramachandran, Barret Zoph, Quoc V. Le*2017 · 856 citations*
42. **[Addressing the Rare Word Problem in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thang Luong, Ilya Sutskever, Quoc Le, et al.*2015 · 832 citations*
43. **[GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism ↗](https://arxiv.org/abs/1811.06965) arXiv:1811.06965 · no summary yet**Yanping Huang et al.*2018 · 809 citations*
44. **[CoAtNet: Marrying Convolution and Attention for All Data Sizes ↗](https://arxiv.org/abs/2106.04803) arXiv (Cornell University) · no summary yet**Dai, Zihang et al.*2021 · 774 citations*
45. **[Learning to Rank with Nonsmooth Cost Functions ↗](https://doi.org/10.7551/mitpress/7503.003.0029) The MIT Press eBooks · no summary yet**Christopher J. C. Burges, Robert J. Ragno, Quoc Viet Le*2007 · 774 citations*
46. **[AutoAugment: Learning Augmentation Policies from Data ↗](https://arxiv.org/abs/1805.09501) arXiv (Cornell University) · no summary yet**Ekin D. Cubuk et al.*2018 · 726 citations*
47. **[Semi-supervised Sequence Learning ↗](https://arxiv.org/abs/1511.01432) arXiv (Cornell University) · no summary yet**Andrew M. Dai, Quoc Viet Le*2015 · 723 citations*
48. **[Efficient Neural Architecture Search via Parameter Sharing ↗](https://arxiv.org/abs/1802.03268) arXiv:1802.03268 · no summary yet**Hieu Pham et al.*2018 · 699 citations*
49. **[Don't Decay the Learning Rate, Increase the Batch Size ↗](https://arxiv.org/abs/1711.00489) arXiv:1711.00489 · no summary yet**Samuel L. Smith et al.*2017 · 680 citations*
50. **[A graph placement methodology for fast chip design ↗](https://doi.org/10.1038/s41586-021-03544-w) Nature · no summary yet**Azalia Mirhoseini et al.*2021 · 633 citations*
51. **[Regularized Evolution for Image Classifier Architecture Search ↗](https://doi.org/10.1609/aaai.v33i01.33014780) AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · no summary yet**Esteban Real et al.*2019 · 615 citations*
52. [**The Flan Collection: Designing Data and Methods for Effective Instruction Tuning arXiv:2301.13688**Shayne Longpre, Le Hou, Tu Vu, et al.*2023 · 607 citations*](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/)
53. **[Large-Scale Evolution of Image Classifiers ↗](https://arxiv.org/abs/1703.01041) arXiv (Cornell University) · no summary yet**Esteban Real et al.*2017 · 602 citations*
54. [**QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension arXiv:1804.09541**Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.*2018 · 597 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-qanet-combining-local-convolution-global/)
55. [**Towards a Human-like Open-Domain Chatbot arXiv:2001.09977**Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.*2020 · 592 citations*](https://md.research.elamur.ai/free/en/papers/adiwardana-2020-towards-human-like-open-domain/)
56. **[Learning Data Augmentation Strategies for Object Detection ↗](https://doi.org/10.1007/978-3-030-58583-9_34) Lecture notes in computer science · no summary yet**Barret Zoph et al.*2020 · 587 citations*
57. **[Massive Exploration of Neural Machine Translation Architectures](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://arxiv.org/abs/1504.00941) arXiv (Cornell University) · no summary yet**Quoc Viet Le, Navdeep Jaitly, Geoffrey E. Hinton*2015 · 571 citations*
59. **[DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.01667) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yingwei Li et al.*2022 · 563 citations*
60. **[Meta Pseudo Labels ↗](https://doi.org/10.1109/cvpr46437.2021.01139) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hieu Pham et al.*2021 · 551 citations*
61. **[Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ↗](https://aclanthology.org/P17-1003/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Chen Liang et al.*2017 · 522 citations*
62. **[Understanding and Simplifying One-Shot Architecture Search ↗](https://openalex.org/W2885820039) International Conference on Machine Learning · no summary yet**Gabriel Bender et al.*2018 · 515 citations*
63. **[A Simple Method for Commonsense Reasoning ↗](https://arxiv.org/abs/1806.02847) arXiv:1806.02847 · no summary yet**Trieu H. Trinh, Quoc V. Le*2018 · 507 citations*
64. **[Adversarial Examples Improve Image Recognition ↗](https://doi.org/10.1109/cvpr42600.2020.00090) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Cihang Xie et al.*2020 · 506 citations*
65. **[Solving olympiad geometry without human demonstrations](https://md.research.elamur.ai/free/en/papers/trinh-2024-solving-olympiad-geometry-without-human/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, et al.*2024 · 498 citations*
66. **[DropBlock: A regularization method for convolutional networks ↗](https://arxiv.org/abs/1810.12890) arXiv (Cornell University) · no summary yet**Golnaz Ghiasi, Tsung-Yi Lin, Quoc Viet Le*2018 · 496 citations*
67. **[Semi-Supervised Sequence Modeling with Cross-View Training](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 494 citations*
68. **[On rectified linear units for speech processing ↗](https://doi.org/10.1109/icassp.2013.6638312) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Matthew D. Zeiler et al.*2013 · 440 citations*
69. **[Rethinking Pre-training and Self-training ↗](https://arxiv.org/abs/2006.06882) arXiv (Cornell University) · no summary yet**Barret Zoph et al.*2020 · 428 citations*
70. [**Large Language Models as Optimizers arXiv:2309.03409**Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.*2023 · 413 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-optimizers/)
71. **[Learning Graph Matching ↗](https://doi.org/10.1109/tpami.2009.28) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Tibério S. Caetano et al.*383 citations*
72. **[Listen, Attend and Spell ↗](https://arxiv.org/abs/1508.01211) arXiv (Cornell University) · no summary yet**William Chan et al.*2015 · 365 citations*
73. **[COFI RANK - Maximum margin matrix factorization for collaborative ranking ↗](https://hal.science/hal-00482740) HAL (Le Centre pour la Communication Scientifique Directe) · no summary yet**Markus Weimer et al.*2007 · 349 citations*
74. **[Device Placement Optimization with Reinforcement Learning ↗](https://arxiv.org/abs/1706.04972) arXiv:1706.04972 · no summary yet**Azalia Mirhoseini et al.*2017 · 343 citations*
75. **[Recurrent neural networks for noise reduction in robust ASR ↗](https://doi.org/10.21437/interspeech.2012-6) Interspeech (USB) · no summary yet**Andrew L. Maas et al.*2012 · 340 citations*
76. **[Measuring Invariances in Deep Networks ↗](https://openalex.org/W2105728138) no summary yet**Ian Goodfellow et al.*2009 · 330 citations*
77. **[Unsupervised Pretraining for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Prajit Ramachandran, Peter Liu, Quoc Le*2017 · 327 citations*
78. [**Carbon Emissions and Large Neural Network Training arXiv:2104.10350**David Patterson, Joseph Gonzalez, Quoc Le, et al.*2021 · 323 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/)
79. **[Mixture-Of-Experts with Expert Choice Routing ↗](https://doi.org/10.52202/068431-0515) neural information processing systems · no summary yet**Yanqi Zhou et al.*2022 · 321 citations*
80. [**Multi-task Sequence to Sequence Learning arXiv:1511.06114**Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.*2015 · 321 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-multi-task-sequence-sequence-learning/)
81. **[Fastfood: approximating kernel expansions in loglinear time ↗](https://openalex.org/W2118563516) no summary yet**Quoc Viet Le, Tamás Sarlós, Alex J. Smola*2013 · 317 citations*
82. **[MixConv: Mixed Depthwise Convolutional Kernels ↗](https://arxiv.org/abs/1907.09595) arXiv (Cornell University) · no summary yet**Mingxing Tan, Quoc Viet Le*2019 · 310 citations*
83. **[Neural Combinatorial Optimization with Reinforcement Learning ↗](https://arxiv.org/abs/1611.09940) arXiv (Cornell University) · no summary yet**Irwan Bello et al.*2016 · 299 citations*
84. **[Tiled convolutional neural networks ↗](https://openalex.org/W2147860648) neural information processing systems · no summary yet**Jiquan Ngiam et al.*2010 · 298 citations*
85. **[Symbolic Discovery of Optimization Algorithms ↗](https://arxiv.org/abs/2302.06675) arXiv:2302.06675 · no summary yet**Xiangning Chen et al.*2023 · 297 citations*
86. **[BAM! Born-Again Multi-Task Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/clark-2019-bam-born-again-multi-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://doi.org/10.1007/978-3-030-58571-6_41) Lecture notes in computer science · no summary yet**Jiahui Yu et al.*2020 · 277 citations*
88. **[Adding Gradient Noise Improves Learning for Very Deep Networks ↗](https://arxiv.org/abs/1511.06807) arXiv (Cornell University) · no summary yet**Arvind Neelakantan et al.*2015 · 274 citations*
89. **[Document Embedding with Paragraph Vectors ↗](https://arxiv.org/abs/1507.07998) arXiv (Cornell University) · no summary yet**Andrew M. Dai, Christopher Olah, Quoc Viet Le*2015 · 272 citations*
90. [**Large Language Monkeys: Scaling Inference Compute with Repeated Sampling arXiv:2407.21787**Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.*2024 · 270 citations*](https://md.research.elamur.ai/free/en/papers/brown-2024-large-language-monkeys-scaling-inference/)
91. **[The Evolved Transformer ↗](https://arxiv.org/abs/1901.11117) arXiv (Cornell University) · no summary yet**David R. So, Liang Chen, Quoc Viet Le*2019 · 270 citations*
92. **[ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning ↗](https://openalex.org/W2112274848) no summary yet**Quoc Viet Le et al.*2011 · 269 citations*
93. **[Neural Optimizer Search with Reinforcement Learning ↗](https://arxiv.org/abs/1709.07417) arXiv (Cornell University) · no summary yet**Irwan Bello et al.*2017 · 263 citations*
94. **[Improved Noisy Student Training for Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1470) Interspeech (USB) · no summary yet**Daniel Park et al.*2020 · 251 citations*
95. **[CondConv: Conditionally Parameterized Convolutions for Efficient Inference ↗](https://arxiv.org/abs/1904.04971) arXiv (Cornell University) · no summary yet**Brandon Yang et al.*2019 · 235 citations*
96. **[Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition ↗](https://arxiv.org/abs/2010.10504) arXiv (Cornell University) · no summary yet**Yu Zhang et al.*2020 · 233 citations*
97. **[Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2253807446) International Conference on Machine Learning · no summary yet**Marc’Aurelio Ranzato et al.*2012 · 228 citations*
98. **[SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization ↗](https://doi.org/10.1109/cvpr42600.2020.01161) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xianzhi Du et al.*2020 · 227 citations*
99. **[Bundle Methods for Regularized Risk Minimization ↗](https://doi.org/10.5555/1756006.1756016) no summary yet**Choon Hui Teo et al.*2010 · 227 citations*
100. **[Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. ↗](https://arxiv.org/abs/1703.10135) arXiv (Cornell University) · no summary yet**Yuxuan Wang et al.*2017 · 200 citations*

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