Jacob Steinhardt

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	Total	Desde 2019
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Dan HendrycksDirector of the Center for AI SafetyDirección de correo verificada de berkeley.edu
Dawn SongProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Steven BasartPhD, University of ChicagoDirección de correo verificada de ttic.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Christopher OlahAnthropicDirección de correo verificada de google.com
John SchulmanAnthropicDirección de correo verificada de anthropic.com
Dario AmodeiCEO and Co-Founder at AnthropicDirección de correo verificada de anthropic.com
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Paul ChristianoNational Institute of Standards and TechnologyDirección de correo verificada de nist.gov
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityDirección de correo verificada de stanford.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeDirección de correo verificada de cmu.edu
Pang Wei KohUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Jerry LiMicrosoft ResearchDirección de correo verificada de microsoft.com
Daniel KangUIUCDirección de correo verificada de illinois.edu
Tom B BrownAnthropicDirección de correo verificada de anthropic.com
Andrew IlyasMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Banghua ZhuUniversity of California, BerkeleyDirección de correo verificada de berkeley.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyDirección de correo verificada de berkeley.edu
Pravesh K. KothariPrinceton UniversityDirección de correo verificada de cs.cmu.edu

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Jacob Steinhardt

Stanford University

Dirección de correo verificada de cs.stanford.edu - Página principal

Machine learning Statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016	2871	2016
Measuring massive multitask language understanding D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt arXiv preprint arXiv:2009.03300, 2020	1955	2020
The many faces of robustness: A critical analysis of out-of-distribution generalization D Hendrycks, S Basart, N Mu, S Kadavath, F Wang, E Dorundo, R Desai, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021	1539	2021
Natural adversarial examples D Hendrycks, K Zhao, S Basart, J Steinhardt, D Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	1406	2021
Certified defenses against adversarial examples A Raghunathan, J Steinhardt, P Liang arXiv preprint arXiv:1801.09344, 2018	1111	2018
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 2018	1077	2018
Certified defenses for data poisoning attacks J Steinhardt, PWW Koh, PS Liang Advances in neural information processing systems 30, 2017	885	2017
Measuring mathematical problem solving with the math dataset D Hendrycks, C Burns, S Kadavath, A Arora, S Basart, E Tang, D Song, ... arXiv preprint arXiv:2103.03874, 2021	803	2021
Semidefinite relaxations for certifying robustness to adversarial examples A Raghunathan, J Steinhardt, PS Liang Advances in neural information processing systems 31, 2018	489	2018
Jailbroken: How does llm safety training fail? A Wei, N Haghtalab, J Steinhardt Advances in Neural Information Processing Systems 36, 2024	483	2024
Measuring coding challenge competence with apps D Hendrycks, S Basart, S Kadavath, M Mazeika, A Arora, E Guo, C Burns, ... arXiv preprint arXiv:2105.09938, 2021	422	2021
Scaling out-of-distribution detection for real-world settings D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ... arXiv preprint arXiv:1911.11132, 2019	399	2019
Aligning ai with shared human values D Hendrycks, C Burns, S Basart, A Critch, J Li, D Song, J Steinhardt arXiv preprint arXiv:2008.02275, 2020	378	2020
Troubling Trends in Machine Learning Scholarship: Some ML papers suffer from flaws that could mislead the public and stymie future research. ZC Lipton, J Steinhardt Queue 17 (1), 45-77, 2019	372	2019
Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	331	2017
Sonyc: A system for monitoring, analyzing, and mitigating urban noise pollution JP Bello, C Silva, O Nov, RL Dubois, A Arora, J Salamon, C Mydlarz, ... Communications of the ACM 62 (2), 68-77, 2019	328	2019
Sever: A robust meta-algorithm for stochastic optimization I Diakonikolas, G Kamath, D Kane, J Li, J Steinhardt, A Stewart International Conference on Machine Learning, 1596-1606, 2019	326	2019
Unsolved problems in ml safety D Hendrycks, N Carlini, J Schulman, J Steinhardt arXiv preprint arXiv:2109.13916, 2021	296	2021
Interpretability in the wild: a circuit for indirect object identification in gpt-2 small K Wang, A Variengien, A Conmy, B Shlegeris, J Steinhardt arXiv preprint arXiv:2211.00593, 2022	266	2022
Stronger data poisoning attacks break data sanitization defenses PW Koh, J Steinhardt, P Liang Machine Learning, 1-47, 2022	259	2022

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