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Martin Wattenberg

Active 1986–2026

121
Papers
36,439
Citations
62
h-index
94
i10-index

Citations

Citations per year for Martin Wattenberg1896: 1 citations1949: 1 citations1968: 1 citations1980: 1 citations1988: 1 citations1989: 4 citations1991: 3 citations1993: 5 citations1994: 4 citations1995: 3 citations1996: 8 citations1997: 5 citations1998: 7 citations1999: 28 citations2000: 13 citations2001: 17 citations2002: 34 citations2003: 35 citations2004: 67 citations2005: 123 citations2006: 137 citations2007: 220 citations2008: 306 citations2009: 345 citations2010: 367 citations2011: 375 citations2012: 404 citations2013: 421 citations2014: 370 citations2015: 386 citations2016: 504 citations2017: 1,326 citations2018: 2,074 citations2019: 2,050 citations2020: 2,356 citations2021: 2,283 citations2022: 1,512 citations2023: 1,606 citations2024: 1,685 citations2025: 1,707 citations2026: 867 citations1897–1948: no citations, so these years are not shown1950–1967: no citations, so these years are not shown1969–1979: no citations, so these years are not shown1981–1987: no citations, so these years are not shown1990: no citations, so this year is not shown1992: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 6,050 citing papers, 26.6% of this breakdownChina: 3,204 citing papers, 14.1% of this breakdownGermany: 1,609 citing papers, 7.1% of this breakdownUnited Kingdom: 1,406 citing papers, 6.2% of this breakdownCanada: 858 citing papers, 3.8% of this breakdownFrance: 703 citing papers, 3.1% of this breakdownIndia: 604 citing papers, 2.7% of this breakdownAustralia: 586 citing papers, 2.6% of this breakdownSouth Korea: 556 citing papers, 2.4% of this breakdownJapan: 533 citing papers, 2.3% of this breakdownNetherlands: 511 citing papers, 2.2% of this breakdownItaly: 440 citing papers, 1.9% of this breakdown
0%26.6%Other 25%

Institutions

Fields

  • Computer Science66.6%
  • Engineering6.7%
  • Social Sciences6.3%
  • Medicine4.7%
  • Biochemistry, Genetics and Molecular Biology3.3%
  • Physics and Astronomy2.2%
  • Other10.2%

Topics

  • Topic Modeling4.9%
  • Data Visualization and Analytics3.9%
  • Natural Language Processing Techniques3.6%
  • Explainable Artificial Intelligence (XAI)3.3%
  • Adversarial Robustness in Machine Learning2.4%
  • Advanced Neural Network Applications2.1%
  • Other79.8%

Coauthors

All papers

Open in search
  1. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Authors: Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng - arXiv (Cornell University), CoRR 2016 cited by 9,778

  2. Toy Models of Superposition

    Authors: Nelson Elhage, Tristan Hume, Catherine Olsson, Nicholas Schiefer, Tom Henighan, Shauna Kravec, Zac Hatfield-Dodds, Robert Lasenby, Dawn Drain, Carol Chen, Roger B. Grosse, Sam McCandlish, Jared Kaplan, Dario Amodei, Martin Wattenberg, Christopher Olah - arXiv (Cornell University), CoRR 2022 cited by 602

  3. SmoothGrad: removing noise by adding noise

    Authors: Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda B. Viégas, Martin Wattenberg - arXiv (Cornell University), CoRR 2017 cited by 1,294

  4. Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

    Authors: Kenneth Li, Oam Patel, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 1,310

  5. Open Problems in Mechanistic Interpretability

    Authors: Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath - Trans. Mach. Learn. Res. 2025 cited by 184

  6. Emergent Linear Representations in World Models of Self-Supervised Sequence Models

    Authors: Neel Nanda, Andrew Lee, Martin Wattenberg - BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2023 cited by 172

  7. The What-If Tool: Interactive Probing of Machine Learning Models

    Authors: James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson - IEEE Transactions on Visualization and Computer Graphics, IEEE Trans. Vis. Comput. Graph. 2019 cited by 510

  8. Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

    Authors: Been Kim, Martin Wattenberg, Justin Gilmer, Carrie J. Cai, James Wexler, Fernanda B. Viégas, Rory Sayres - ICML 2018 cited by 2,415

  9. Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

    Authors: Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg - ICLR 2023 cited by 504

  10. Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

    Authors: Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda B. Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2017 cited by 1,753

  11. How to Use t-SNE Effectively

    Authors: Martin Wattenberg, Fernanda Viégas, Ian Johnson - Distill 2016 cited by 852

  12. A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity

    Authors: Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea - ICML 2024 cited by 199

  13. Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making

    Authors: Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda B. Viégas, Gregory S. Corrado, Martin C. Stumpe, Michael Terry - CHI Conference on Human Factors in Computing Systems 2019 cited by 385

  14. A Fuzzy Commitment Scheme

    Authors: Ari Juels, Martin Wattenberg - conference on Computer and communications security, CCS 1999 cited by 1,597

  15. Linearity of Relation Decoding in Transformer Language Models

    Authors: Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau - ICLR 2024 cited by 196

  16. ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

    Authors: Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman - CHI Conference on Human Factors in Computing Systems 2024 cited by 124

  17. AI Alignment in the Design of Interactive AI: Specification Alignment, Process Alignment, and Evaluation Support

    Authors: Michael Terry, Chinmay Kulkarni, Martin Wattenberg, Lucas Dixon, Meredith Ringel Morris - arXiv (Cornell University), CoRR 2023 cited by 56

  18. An Interpretability Illusion for BERT

    Authors: Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg - arXiv (Cornell University), CoRR 2021 cited by 79

  19. Ad click prediction: a view from the trenches

    Authors: H. Brendan McMahan, Gary D. Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica - SIGKDD international conference on Knowledge discovery and data mining 2013 cited by 880

  20. Designing a Dashboard for Transparency and Control of Conversational AI

    Authors: Yida Chen, Aoyu Wu, Trevor DePodesta, Catherine Yeh, Kenneth Li, Nicholas Castillo Marin, Oam Patel, Jan Riecke, Shivam Raval, Olivia Seow, Martin Wattenberg, Fernanda B. Viégas - arXiv (Cornell University), CoRR 2024 cited by 54

  21. GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

    Authors: Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viégas, Martin Wattenberg - IEEE Transactions on Visualization and Computer Graphics, IEEE Trans. Vis. Comput. Graph. 2018 cited by 213

  22. Measuring and Controlling Persona Drift in Language Model Dialogs

    Authors: Kenneth Li, Tianle Liu, Naomi Bashkansky, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg - arXiv (Cornell University), CoRR 2024 cited by 40

  23. openalex_id:w2962972512

    Authors: Shashi Narayan, Shay B. Cohen, Mirella Lapata, Martn Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Man, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Vigas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng, Miguel Almeida, F Andr, Martins, Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio, Regina Barzilay, Michael Elhadad, Samy Bengio, Navdeep Jaitly, Noam Shazeer, Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein, Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou, Jaime Carbonell, Jade Goldstein, Ciprian Chelba, Tomas Mikolov, Qi Ge, Thorsten Brants, Phillipp Koehn, Tony Robinson, Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, Jianpeng Cheng, James Clarke, Ronan Collobert, Jason Weston, Lon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa, Gnes Erkan, Dragomir Radev, Elena Filatova, Vasileios Hatzivassiloglou, Katja Filippova, Enrique Alfonseca, Carlos Colmenares, Sebastian Hen, Margot Mieskes, Iryna Gurevych, Karl Moritz Hermann, Tom Koisk, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and 143 more cited by 542

  24. Deep learning of aftershock patterns following large earthquakes

    Authors: Phoebe M. R. DeVries, Fernanda Viégas, Martin Wattenberg, Brendan J. Meade - Nature 2018 cited by 347