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Tengyu Ma

2011–2026 年に発表

153
論文数
30,581
被引用数
65
h 指数
119
i10 指数

被引用数

Tengyu Ma の年別被引用数1989 年: 被引用 1 件2012 年: 被引用 2 件2013 年: 被引用 2 件2014 年: 被引用 12 件2015 年: 被引用 50 件2016 年: 被引用 114 件2017 年: 被引用 205 件2018 年: 被引用 417 件2019 年: 被引用 586 件2020 年: 被引用 680 件2021 年: 被引用 874 件2022 年: 被引用 1,007 件2023 年: 被引用 2,100 件2024 年: 被引用 2,839 件2025 年: 被引用 4,289 件2026 年: 被引用 2,253 件1990〜2011 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 3,012 件、この内訳の 29.4%中国: 引用元論文 1,991 件、この内訳の 19.5%イギリス: 引用元論文 688 件、この内訳の 6.7%ドイツ: 引用元論文 475 件、この内訳の 4.6%カナダ: 引用元論文 387 件、この内訳の 3.8%香港: 引用元論文 280 件、この内訳の 2.7%オーストラリア: 引用元論文 249 件、この内訳の 2.4%フランス: 引用元論文 246 件、この内訳の 2.4%シンガポール: 引用元論文 243 件、この内訳の 2.4%日本: 引用元論文 230 件、この内訳の 2.2%スイス: 引用元論文 200 件、この内訳の 2%韓国: 引用元論文 181 件、この内訳の 1.8%
0%29.4%その他 20.1%

機関

分野

  • Computer Science68.8%
  • Engineering10.5%
  • Social Sciences3.9%
  • Medicine3.7%
  • Decision Sciences2.2%
  • Biochemistry, Genetics and Molecular Biology1.7%
  • その他9.2%

トピック

  • Topic Modeling7.2%
  • Natural Language Processing Techniques4.5%
  • Multimodal Machine Learning Applications4.5%
  • Domain Adaptation and Few-Shot Learning3.9%
  • Advanced Neural Network Applications3.3%
  • Generative Adversarial Networks and Image Synthesis2.7%
  • その他73.9%

共著者

全論文

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  1. On the Opportunities and Risks of Foundation Models

    著者: Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Demszky, Dora, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tong Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Ahmad Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Benjamin T. Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon-Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Yang Wang ほか 14 名 - arXiv (Cornell University), CoRR 2021 被引用: 4,828

  2. SAM 2: Segment Anything in Images and Videos

    著者: Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer - ICLR 2025 被引用: 3,804

  3. SAM 3: Segment Anything with Concepts

    著者: Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya K. Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew C. Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, M. David Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Kang Xu, Tsung‐Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Li Feng, Siyuan Li, Aishwarya Kamath, Hao Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer - arXiv (Cornell University), CoRR 2025 被引用: 396

  4. An Explanation of In-context Learning as Implicit Bayesian Inference

    著者: Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma - ICLR 2022 被引用: 1,108

  5. Larger language models do in-context learning differently

    著者: Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma - arXiv (Cornell University), CoRR 2023 被引用: 360

  6. What learning algorithm is in-context learning? Investigations with linear models

    著者: Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou - ICLR 2023 被引用: 756

  7. Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

    著者: Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang - ICLR 2022 被引用: 972

  8. Perception Encoder: The best visual embeddings are not at the output of the network

    著者: Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Rasheed, Junke Wang, Marco Aurélio Alvarenga Monteiro, Xu Hu, Shiyu Dong, Nikhila Ravi, Daniel Li, Piotr Dollár, Christoph Feichtenhofer - NeurIPS 2025 被引用: 178

  9. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

    著者: Hong Liu, Zhiyuan Li, David Leo Wright Hall, Percy Liang, Tengyu Ma - ICLR 2024 被引用: 299

  10. Large Language Models as Tool Makers

    著者: Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou - ICLR 2024 被引用: 320

  11. Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

    著者: Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma - ICLR 2024 被引用: 300

  12. Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

    著者: Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang - AAAI Conference on Artificial Intelligence 2021 被引用: 304

  13. One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

    著者: Arvind V. Mahankali, Tatsunori Hashimoto, Tengyu Ma - ICLR 2024 被引用: 184

  14. Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

    著者: Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma - NeurIPS 2019 被引用: 2,157

  15. PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

    著者: Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Dutt Jain, Miguel Martin, Huiyu Wang, Hanoona Abdul Rasheed, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Seungwhan Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman H. Khan, Philipp Krähenbühl, Piotr Dollár, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer - NeurIPS 2025 被引用: 67

  16. Fantastic Pretraining Optimizers and Where to Find Them

    著者: Kaiyue Wen, David Hall, Tengyu Ma, Percy Liang - ArXiv.org, CoRR 2025 被引用: 65

  17. MOPO: Model-based Offline Policy Optimization

    著者: Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y. Zou, Sergey Levine, Chelsea Finn, Tengyu Ma - NeurIPS 2020 被引用: 951

  18. Data Selection for Language Models via Importance Resampling

    著者: Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 357

  19. DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

    著者: Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 393

  20. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving

    著者: Kefan Dong, Tengyu Ma - ICML 2025 被引用: 76

  21. Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

    著者: Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Hall, Percy Liang, Tengyu Ma - arXiv (Cornell University), CoRR 2024 被引用: 46

  22. Self-supervised Learning is More Robust to Dataset Imbalance

    著者: Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma - ICLR 2022 被引用: 196

  23. Symbol tuning improves in-context learning in language models

    著者: Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 被引用: 46

  24. Fixup Initialization: Residual Learning Without Normalization

    著者: Hongyi Zhang, Yann N. Dauphin, Tengyu Ma - ICLR (Poster) 2019 被引用: 406