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Sumit Chopra

Active 2001–2026

Also published as
Sumit, Chopra
68
Papers
19,779
Citations
28
h-index
36
i10-index

Citations

Citations per year for Sumit Chopra1969: 2 citations1973: 1 citations1987: 2 citations1990: 2 citations1996: 1 citations1998: 2 citations2003: 2 citations2004: 1 citations2005: 6 citations2006: 10 citations2007: 43 citations2008: 39 citations2009: 64 citations2010: 56 citations2011: 87 citations2012: 105 citations2013: 112 citations2014: 158 citations2015: 340 citations2016: 723 citations2017: 1,153 citations2018: 1,553 citations2019: 1,879 citations2020: 2,045 citations2021: 2,110 citations2022: 1,704 citations2023: 1,512 citations2024: 1,185 citations2025: 847 citations2026: 221 citations1970–1972: no citations, so these years are not shown1974–1986: no citations, so these years are not shown1988–1989: no citations, so these years are not shown1991–1995: no citations, so these years are not shown1997: no citations, so this year is not shown1999–2002: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,919 citing papers, 28.6% of this breakdownUnited States: 3,529 citing papers, 20.5% of this breakdownUnited Kingdom: 1,013 citing papers, 5.9% of this breakdownGermany: 654 citing papers, 3.8% of this breakdownCanada: 528 citing papers, 3.1% of this breakdownAustralia: 494 citing papers, 2.9% of this breakdownIndia: 488 citing papers, 2.8% of this breakdownFrance: 474 citing papers, 2.8% of this breakdownSouth Korea: 422 citing papers, 2.5% of this breakdownJapan: 397 citing papers, 2.3% of this breakdownHong Kong: 356 citing papers, 2.1% of this breakdownSingapore: 346 citing papers, 2% of this breakdown
0%28.6%Other 20.7%

Institutions

Fields

  • Computer Science80.3%
  • Engineering7.7%
  • Medicine4.3%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Neuroscience1%
  • Social Sciences0.9%
  • Other4.5%

Topics

  • 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%
  • Other66%

Coauthors

All papers

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  1. Dimensionality Reduction by Learning an Invariant Mapping

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

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

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

  3. Sequence Level Training with Recurrent Neural Networks

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

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

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

  5. Memory Networks

    Authors: Jason Weston, Sumit Chopra, Antoine Bordes - http://arxiv.org/pdf/1410.3916.pdf, ICLR 2014 cited by 610

  6. Deep neural network improves fracture detection by clinicians

    Authors: 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 cited by 617

  7. A Tutorial on Energy-Based Learning

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

  8. Energy-Based Models

    Authors: Yann LeCun, Sumit Chopra, Raia Hadsell, Marc’Aurelio Ranzato, Fu Jie Huang - The MIT Press eBooks 2007 cited by 220

  9. Large-scale Simple Question Answering with Memory Networks

    Authors: Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston - arXiv (Cornell University), CoRR 2015 cited by 565

  10. Question Answering with Subgraph Embeddings

    Authors: Antoine Bordes, Sumit Chopra, Jason Weston - Conference on Empirical Methods in Natural Language Processing (EMNLP) 2014 cited by 645

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

    Authors: 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 cited by 131

  12. Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

    Authors: 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 cited by 932

  13. A Neural Attention Model for Abstractive Sentence Summarization

    Authors: Alexander M. Rush, Sumit Chopra, Jason Weston - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 cited by 705

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

    Authors: Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun - The MIT Press eBooks, NIPS 2006 cited by 1,403

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

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

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

    Authors: Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston - ICLR 2016 cited by 334

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

    Authors: 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 cited by 28

  18. Learning Longer Memory in Recurrent Neural Networks

    Authors: Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato - ICLR (Workshop) 2015 cited by 200

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

    Authors: 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 and 916 more - 2019 cited by 22

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

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

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

    Authors: Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang - Conference on Document Analysis and Recognition, ICDAR 2007 cited by 52

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

    Authors: 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 cited by 9

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

    Authors: Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston - ICLR (Poster) 2017 cited by 142

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

    Authors: 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 cited by 7