Jacob Steinhardt

Cited by

	All	Since 2018
Citations	11027	10683
h-index	37	36
i10-index	66	62

2900

1450

725

2175

2016201720182019202020212022202366 173 474 942 1520 2037 2763 2894

Public access

View all

21 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Steven BasartPhD, University of ChicagoVerified email at ttic.edu
John SchulmanResearch Scientist, OpenAIVerified email at openai.com
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityVerified email at cmu.edu
Christopher OlahAnthropicVerified email at google.com
Paul ChristianoAlignment Research CenterVerified email at alignment.org
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityVerified email at stanford.edu
Pang Wei KohUniversity of Washington, GoogleVerified email at cs.stanford.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Zachary C. LiptonProfessor in the Machine Learning Department at Carnegie Mellon; Chief Scientific Officer at AbridgeVerified email at cmu.edu
Jerry LiMicrosoft ResearchVerified email at microsoft.com
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Pravesh K. KothariCarnegie Mellon UniversityVerified email at cs.cmu.edu
Daniel KangStanford UniversityVerified email at stanford.edu
Yi SunAssistant Professor, UChicago StatisticsVerified email at statistics.uchicago.edu
Tom B BrownAnthropicVerified email at anthropic.com
Banghua ZhuUniversity of California, BerkeleyVerified email at berkeley.edu

Jacob Steinhardt

Stanford University

Verified email at cs.stanford.edu - Homepage

Machine learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016	2148	2016
Certified defenses against adversarial examples A Raghunathan, J Steinhardt, P Liang arXiv preprint arXiv:1801.09344, 2018	952	2018
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	865	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	846	2021
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	762	2018
Certified defenses for data poisoning attacks J Steinhardt, PWW Koh, PS Liang Advances in neural information processing systems 30, 2017	705	2017
Semidefinite relaxations for certifying robustness to adversarial examples A Raghunathan, J Steinhardt, PS Liang Advances in neural information processing systems 31, 2018	416	2018
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	287	2020
Troubling trends in machine learning scholarship ZC Lipton, J Steinhardt arXiv preprint arXiv:1807.03341, 2018	282*	2018
Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	277	2017
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	269	2019
Stronger data poisoning attacks break data sanitization defenses PW Koh, J Steinhardt, P Liang Machine Learning, 1-47, 2022	191	2022
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	183	2019
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	180	2021
Rethinking bias-variance trade-off for generalization of neural networks Z Yang, Y Yu, C You, J Steinhardt, Y Ma International Conference on Machine Learning, 10767-10777, 2020	152	2020
Unsolved problems in ml safety D Hendrycks, N Carlini, J Schulman, J Steinhardt arXiv preprint arXiv:2109.13916, 2021	151	2021
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	150	2021
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	142	2020
Robust moment estimation and improved clustering via sum of squares PK Kothari, J Steinhardt, D Steurer Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018	132	2018
Resilience: A criterion for learning in the presence of arbitrary outliers J Steinhardt, M Charikar, G Valiant arXiv preprint arXiv:1703.04940, 2017	131	2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors