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Sumit Chopra

2001–2026 年に発表

別表記
Sumit, Chopra
68
論文数
19,779
被引用数
28
h 指数
36
i10 指数

被引用数

Sumit Chopra の年別被引用数1969 年: 被引用 2 件1973 年: 被引用 1 件1987 年: 被引用 2 件1990 年: 被引用 2 件1996 年: 被引用 1 件1998 年: 被引用 2 件2003 年: 被引用 2 件2004 年: 被引用 1 件2005 年: 被引用 6 件2006 年: 被引用 10 件2007 年: 被引用 43 件2008 年: 被引用 39 件2009 年: 被引用 64 件2010 年: 被引用 56 件2011 年: 被引用 87 件2012 年: 被引用 105 件2013 年: 被引用 112 件2014 年: 被引用 158 件2015 年: 被引用 340 件2016 年: 被引用 723 件2017 年: 被引用 1,153 件2018 年: 被引用 1,553 件2019 年: 被引用 1,879 件2020 年: 被引用 2,045 件2021 年: 被引用 2,110 件2022 年: 被引用 1,704 件2023 年: 被引用 1,512 件2024 年: 被引用 1,185 件2025 年: 被引用 847 件2026 年: 被引用 221 件1970〜1972 年は被引用が無いため表示していません1974〜1986 年は被引用が無いため表示していません1988〜1989 年は被引用が無いため表示していません1991〜1995 年は被引用が無いため表示していません1997 年は被引用が無いため表示していません1999〜2002 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・地域の世界地図中国: 引用元論文 4,919 件、この内訳の 28.6%アメリカ合衆国: 引用元論文 3,529 件、この内訳の 20.5%イギリス: 引用元論文 1,013 件、この内訳の 5.9%ドイツ: 引用元論文 654 件、この内訳の 3.8%カナダ: 引用元論文 528 件、この内訳の 3.1%オーストラリア: 引用元論文 494 件、この内訳の 2.9%インド: 引用元論文 488 件、この内訳の 2.8%フランス: 引用元論文 474 件、この内訳の 2.8%韓国: 引用元論文 422 件、この内訳の 2.5%日本: 引用元論文 397 件、この内訳の 2.3%香港: 引用元論文 356 件、この内訳の 2.1%シンガポール: 引用元論文 346 件、この内訳の 2%
0%28.6%その他 20.7%

機関

分野

  • Computer Science80.3%
  • Engineering7.7%
  • Medicine4.3%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Neuroscience1%
  • Social Sciences0.9%
  • その他4.5%

トピック

  • Topic Modeling10.2%
  • Natural Language Processing Techniques7.4%
  • Multimodal Machine Learning Applications5.3%
  • Domain Adaptation and Few-Shot Learning4.6%
  • Advanced Image and Video Retrieval Techniques4%
  • Advanced Neural Network Applications2.5%
  • その他66%

共著者

全論文

検索で開く
  1. Dimensionality Reduction by Learning an Invariant Mapping

    著者: Raia Hadsell, Sumit Chopra, Yann LeCun - IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), CVPR (2) 2006 被引用: 5,210

  2. Learning a Similarity Metric Discriminatively, with Application to Face Verification

    著者: Sumit Chopra, Raia Hadsell, Yann LeCun - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), CVPR (1) 2005 被引用: 3,935

  3. Sequence Level Training with Recurrent Neural Networks

    著者: Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba - International Conference on Learning Representations, ICLR (Poster) 2016 被引用: 989

  4. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

    著者: Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, Tomáš Mikolov - International Conference on Learning Representations, ICLR (Poster) 2016 被引用: 758

  5. Memory Networks

    著者: Jason Weston, Sumit Chopra, Antoine Bordes - http://arxiv.org/pdf/1410.3916.pdf, ICLR 2014 被引用: 610

  6. Deep neural network improves fracture detection by clinicians

    著者: Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter - National Academy of Sciences, Proc. Natl. Acad. Sci. USA 2018 被引用: 617

  7. A Tutorial on Energy-Based Learning

    著者: Yann LeCun, Sumit Chopra, Raia Hadsell, Aurelio Ranzato, Fu Jie Huang - http://yann.lecun.com/exdb/publis/psgz/lecun-06.ps.gz 2006 被引用: 794

  8. Energy-Based Models

    著者: Yann LeCun, Sumit Chopra, Raia Hadsell, Marc’Aurelio Ranzato, Fu Jie Huang - The MIT Press eBooks 2007 被引用: 220

  9. Large-scale Simple Question Answering with Memory Networks

    著者: Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston - arXiv (Cornell University), CoRR 2015 被引用: 565

  10. Question Answering with Subgraph Embeddings

    著者: Antoine Bordes, Sumit Chopra, Jason Weston - Conference on Empirical Methods in Natural Language Processing (EMNLP) 2014 被引用: 645

  11. Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs

    著者: Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey - npj Digital Medicine, npj Digit. Medicine 2020 被引用: 131

  12. Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

    著者: Sumit Chopra, Michael Auli, Alexander M. Rush - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, HLT-NAACL 2016 被引用: 932

  13. A Neural Attention Model for Abstractive Sentence Summarization

    著者: Alexander M. Rush, Sumit Chopra, Jason Weston - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 被引用: 705

  14. Efficient Learning of Sparse Representations with an Energy-Based Model

    著者: Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun - The MIT Press eBooks, NIPS 2006 被引用: 1,403

  15. Video (language) modeling: a baseline for generative models of natural videos

    著者: Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra - arXiv (Cornell University), CoRR 2014 被引用: 310

  16. The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations

    著者: Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston - ICLR 2016 被引用: 334

  17. FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging

    著者: Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Mahesh Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson - Scientific Data 2024 被引用: 28

  18. Learning Longer Memory in Recurrent Neural Networks

    著者: Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato - ICLR (Workshop) 2015 被引用: 200

  19. Proceedings of the 2nd Workshop on New Frontiers in Summarization

    著者: Vaishali Pal, Irshad Bhat, Manish Shrivastava, Adam Trischler, Tong Wang, Xingdi Yuan, Justin Har- Ris, Alessandro Sordoni, Phillip Bachman, Ka- Heer Suleman, Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-Goo Lee, Julius Steen, Katja Markert, Maximin Coavoux, Hady Elsahar, Matthias Gall, Anastassia Kornilova, Vlad Eidelman, Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki, Kristjan Arumae, Parminder Bhatia, Fei Liu, Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer, Sangwoo Cho, Chen Li, Dong, Hassan Foroosh, Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, Jamie Taylor, Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron Courville, Yoshua Bengio, Yoshua Bengio, Yann Lecun, Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi, Yen-Chun Chen, Mohit Bansal, Sumit Chopra, Michael Auli, Alexander Rush, Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein, Romain Paulus, Caiming Xiong, Richard Socher, Aurelio Marc, Sumit Ranzato, Michael Chopra, Wojciech Auli, Zaremba, Alexander Rush, Sumit Chopra, Jason Weston, Abigail See, Peter Liu, Christopher Manning, Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang, Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, ukasz Kaiser, Illia Polosukhin, Oriol Vinyals, Meire Fortunato, Navdeep Jaitly, Alex Wang, Kyunghyun Cho ほか 916 名 - 2019 被引用: 22

  20. Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

    著者: Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston - ICLR (Poster) 2016 被引用: 81

  21. Energy-Based Models in Document Recognition and Computer Vision

    著者: Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang - Conference on Document Analysis and Recognition, ICDAR 2007 被引用: 52

  22. FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

    著者: Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh Bharath Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson - arXiv (Cornell University), CoRR 2023 被引用: 9

  23. Dialogue Learning With Human-In-The-Loop

    著者: Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston - ICLR (Poster) 2017 被引用: 142

  24. BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports

    著者: Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen - Workshop on Multimedia Computing for Health and Medicine, MCHM@MM 2024 被引用: 7