Jacob Steinhardt

Citirano

	Sve	Od 2020.
Citati	24794	22867
H-indeks	51	49
i10-indeks	88	81

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Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Potvrđena adresa e-pošte na berkeley.edu
Dawn SongProfessor of Computer Science, UC BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Steven BasartPhD, University of ChicagoPotvrđena adresa e-pošte na ttic.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Christopher OlahAnthropicPotvrđena adresa e-pošte na google.com
John SchulmanAnthropicPotvrđena adresa e-pošte na anthropic.com
Dario AmodeiCEO and Co-Founder at AnthropicPotvrđena adresa e-pošte na anthropic.com
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cmu.edu
Paul ChristianoNational Institute of Standards and TechnologyPotvrđena adresa e-pošte na nist.gov
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na stanford.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgePotvrđena adresa e-pošte na cmu.edu
Pang Wei KohUniversity of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Jerry LiUniversity of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Tom B BrownAnthropicPotvrđena adresa e-pošte na anthropic.com
Daniel KangUIUCPotvrđena adresa e-pošte na illinois.edu
Andrew IlyasMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Banghua ZhuUniversity of California, BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Pravesh K. KothariPrinceton UniversityPotvrđena adresa e-pošte na cs.cmu.edu

Prati

Jacob Steinhardt

Stanford University

Potvrđena adresa e-pošte na cs.stanford.edu - Početna stranica

Machine learning Statistics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	3287	2020
Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016	3145	2016
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	1833	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	1652	2021
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	1378	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	1237	2018
Certified defenses against adversarial examples A Raghunathan, J Steinhardt, P Liang arXiv preprint arXiv:1801.09344, 2018	1145	2018
Certified defenses for data poisoning attacks J Steinhardt, PWW Koh, PS Liang Advances in neural information processing systems 30, 2017	952	2017
Jailbroken: How does llm safety training fail? A Wei, N Haghtalab, J Steinhardt Advances in Neural Information Processing Systems 36, 80079-80110, 2023	801	2023
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	563	2021
Semidefinite relaxations for certifying robustness to adversarial examples A Raghunathan, J Steinhardt, PS Liang Advances in neural information processing systems 31, 2018	509	2018
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	504	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	494	2020
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	416	2022
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	389	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	350	2019
Progress measures for grokking via mechanistic interpretability N Nanda, L Chan, T Lieberum, J Smith, J Steinhardt arXiv preprint arXiv:2301.05217, 2023	349	2023
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	347	2019
Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th annual ACM SIGACT symposium on theory of computing …, 2017	347	2017
Unsolved problems in ml safety D Hendrycks, N Carlini, J Schulman, J Steinhardt arXiv preprint arXiv:2109.13916, 2021	342	2021

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