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Koby Crammer

Active 2000–2022

115
Papers
19,154
Citations
43
h-index
71
i10-index

Citations

Citations per year for Koby Crammer1958: 1 citations1965: 1 citations1970: 1 citations1978: 1 citations1980: 1 citations1982: 2 citations1986: 1 citations1988: 1 citations1992: 2 citations1999: 1 citations2000: 8 citations2001: 14 citations2002: 28 citations2003: 47 citations2004: 64 citations2005: 112 citations2006: 196 citations2007: 267 citations2008: 320 citations2009: 401 citations2010: 462 citations2011: 526 citations2012: 599 citations2013: 666 citations2014: 671 citations2015: 690 citations2016: 656 citations2017: 690 citations2018: 651 citations2019: 817 citations2020: 972 citations2021: 1,041 citations2022: 695 citations2023: 629 citations2024: 563 citations2025: 434 citations2026: 119 citations2027: 1 citations1959–1964: no citations, so these years are not shown1966–1969: no citations, so these years are not shown1971–1977: no citations, so these years are not shown1979: no citations, so this year is not shown1981: no citations, so this year is not shown1983–1985: no citations, so these years are not shown1987: no citations, so this year is not shown1989–1991: no citations, so these years are not shown1993–1998: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,047 citing papers, 24.6% of this breakdownUnited States: 2,842 citing papers, 22.9% of this breakdownUnited Kingdom: 628 citing papers, 5.1% of this breakdownGermany: 457 citing papers, 3.7% of this breakdownAustralia: 422 citing papers, 3.4% of this breakdownSingapore: 405 citing papers, 3.3% of this breakdownJapan: 404 citing papers, 3.3% of this breakdownFrance: 387 citing papers, 3.1% of this breakdownCanada: 369 citing papers, 3% of this breakdownIndia: 319 citing papers, 2.6% of this breakdownHong Kong: 300 citing papers, 2.4% of this breakdownIsrael: 288 citing papers, 2.3% of this breakdown
0%24.6%Other 20.3%

Institutions

Fields

  • Computer Science78.2%
  • Engineering7.1%
  • Decision Sciences3.5%
  • Biochemistry, Genetics and Molecular Biology3.1%
  • Medicine1.5%
  • Neuroscience1.2%
  • Other5.4%

Topics

  • Domain Adaptation and Few-Shot Learning9%
  • Topic Modeling5.9%
  • Natural Language Processing Techniques4.5%
  • Multimodal Machine Learning Applications3.9%
  • Face and Expression Recognition3.6%
  • Machine Learning and Algorithms3.1%
  • Other70%

Coauthors

All papers

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  1. A theory of learning from different domains

    Authors: Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan - Machine Learning, Mach. Learn. 2009 cited by 3,486

  2. Analysis of Representations for Domain Adaptation

    Authors: Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira - The MIT Press eBooks, NIPS 2006 cited by 2,579

  3. Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

    Authors: Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2016 cited by 140

  4. Confidence-weighted linear classification

    Authors: Mark Dredze, Koby Crammer, Fernando Pereira - conference on Machine learning - ICML '08 2008 cited by 376

  5. Adaptive Regularization of Weight Vectors

    Authors: Koby Crammer, Alex Kulesza, Mark Dredze - Machine Learning, Mach. Learn. 2009 cited by 352

  6. On the Learnability and Design of Output Codes for Multiclass Problems

    Authors: Koby Crammer, Yoram Singer - Machine Learning, COLT 2000 cited by 660

  7. Multi-domain learning by confidence-weighted parameter combination

    Authors: Mark Dredze, Alex Kulesza, Koby Crammer - Machine Learning, Mach. Learn. 2009 cited by 121

  8. Pranking with Ranking

    Authors: Koby Crammer, Yoram Singer - The MIT Press eBooks, NIPS 2001 cited by 724

  9. Learning Bounds for Domain Adaptation

    Authors: John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman - http://www.cis.upenn.edu/~blitzer/papers/adaptation_weighting.pdf, NIPS 2007 cited by 532

  10. Weighted Training for Cross-Task Learning

    Authors: Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su - ICLR 2022 cited by 30

  11. Online Large-Margin Training of Dependency Parsers

    Authors: Ryan T. McDonald, Koby Crammer, Fernando C. N. Pereira - Meeting on Association for Computational Linguistics - ACL '05 2005 cited by 816

  12. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines

    Authors: Koby Crammer, Yoram Singer - http://www.cis.uab.edu/zhang/Spam-mining-papers/On.the.Algorithmic.Implementation.of.Multiclass.Kernel.based.Vector.machines.pdf, J. Mach. Learn. Res. 2001 cited by 1,790

  13. A Family of Additive Online Algorithms for Category Ranking

    Authors: Koby Crammer, Yoram Singer - http://www.jmlr.org/papers/volume3/crammer03b/crammer03b.ps.gz, J. Mach. Learn. Res. 2003 cited by 180

  14. New Regularized Algorithms for Transductive Learning

    Authors: Partha Pratim Talukdar, Koby Crammer - Lecture notes in computer science, ECML/PKDD (2) 2009 cited by 210

  15. Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training

    Authors: Zhuang Wang, Koby Crammer, Slobodan Vucetic - J. Mach. Learn. Res. 2012 cited by 180

  16. Online Methods for Multi-Domain Learning and Adaptation

    Authors: Mark Dredze, Koby Crammer - Conference on Empirical Methods in Natural Language Processing - EMNLP '08 2008 cited by 90

  17. A Generalized Online Mirror Descent with Applications to Classification and Regression

    Authors: Francesco Orabona, Koby Crammer, Nicolò Cesa-Bianchi - Machine Learning, Mach. Learn. 2014 cited by 50

  18. Multi-Class Confidence Weighted Algorithms

    Authors: Koby Crammer, Mark Dredze, Alex Kulesza - Conference on Empirical Methods in Natural Language Processing Volume 2 - EMNLP '09 2009 cited by 88

  19. Linear Multi-Resource Allocation with Semi-Bandit Feedback

    Authors: Tor Lattimore, Koby Crammer, Csaba Szepesvári - Neural Information Processing Systems, NIPS 2015 cited by 59

  20. A needle in a haystack: local one-class optimization

    Authors: Koby Crammer, Gal Chechik - Twenty-first international conference on Machine learning - ICML '04 2004 cited by 59

  21. Active Learning with Confidence

    Authors: Mark Dredze, Koby Crammer - Meeting of the Association for Computational Linguistics on Human Language Technologies Short Papers - HLT '08, ACL (2) 2008 cited by 26

  22. Room Impulse Response Estimation using Sparse Online Prediction and Absolute Loss

    Authors: Koby Crammer, Daniel D. Lee - IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, ICASSP (3) 2006 cited by 5

  23. Margin Analysis of the LVQ Algorithm

    Authors: Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby - http://webee.technion.ac.il/people/koby/publications/nips02b.pdf 2002 cited by 261

  24. Ultraconservative Online Algorithms for Multiclass Problems

    Authors: Koby Crammer, Yoram Singer - Lecture notes in computer science, COLT/EuroCOLT 2001 cited by 221