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Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty.

D. Hendrycks, M. Mazeika, S. Kadavath, and D. Song. NeurIPS, page 15637-15648. (2019)

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Saurav Bandyopadhyay

Saurav Sahay

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Specific versus General Principles for Constitutional AI.S. Kundu, Y. Bai, S. Kadavath, A. Askell, A. Callahan, A. Chen, A. Goldie, A. Balwit, A. Mirhoseini, B. McLean and 26 other author(s). CoRR, (2023)Discovering Language Model Behaviors with Model-Written Evaluations.E. Perez, S. Ringer, K. Lukosiute, K. Nguyen, E. Chen, S. Heiner, C. Pettit, C. Olsson, S. Kundu, S. Kadavath and 53 other author(s). ACL (Findings), page 13387-13434. Association for Computational Linguistics, (2023)DeepChrome 2.0: Investigating and Improving Architectures, Visualizations, & Experiments.S. Kadavath, S. Paradis, and J. Yeung. CoRR, (2022)Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.D. Ganguli, L. Lovitt, J. Kernion, A. Askell, Y. Bai, S. Kadavath, B. Mann, E. Perez, N. Schiefer, K. Ndousse and 26 other author(s). CoRR, (2022)Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty.D. Hendrycks, M. Mazeika, S. Kadavath, and D. Song. NeurIPS, page 15637-15648. (2019)Measuring Coding Challenge Competence With APPS.D. Hendrycks, S. Basart, S. Kadavath, M. Mazeika, A. Arora, E. Guo, C. Burns, S. Puranik, H. He, D. Song and 1 other author(s). NeurIPS Datasets and Benchmarks, (2021)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, T. Zhu, S. Parajuli, M. Guo and 3 other author(s). ICCV, page 8320-8329. IEEE, (2021)Language Models (Mostly) Know What They KnowS. Kadavath, T. Conerly, A. Askell, T. Henighan, D. Drain, E. Perez, N. Schiefer, Z. Hatfield-Dodds, N. DasSarma, E. Tran-Johnson and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.The Capacity for Moral Self-Correction in Large Language Models.D. Ganguli, A. Askell, N. Schiefer, T. Liao, K. Lukosiute, A. Chen, A. Goldie, A. Mirhoseini, C. Olsson, D. Hernandez and 39 other author(s). CoRR, (2023)Measuring Mathematical Problem Solving With the MATH Dataset.D. Hendrycks, C. Burns, S. Kadavath, A. Arora, S. Basart, E. Tang, D. Song, and J. Steinhardt. NeurIPS Datasets and Benchmarks, (2021)

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Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty.

Please choose a person to relate this publication to

Saurav Bandyopadhyay

Saurav Sahay

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kadavath, Saurav"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty.

Please choose a person to relate this publication to

Saurav Bandyopadhyay

Saurav Sahay

Other publications of authors with the same name

Disambiguation

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Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty.