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Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

C. Burns, P. Izmailov, J. Kirchner, B. Baker, L. Gao, L. Aschenbrenner, Y. Chen, A. Ecoffet, M. Joglekar, J. Leike, I. Sutskever, and J. Wu. ICML, OpenReview.net, (2024)

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Dietrich Pavel

Wieland Werther Pavel

Luciana Pavel

Ji Pavelka

Jonas Philipp Pavelka

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FlexiViT: One Model for All Patch Sizes.L. Beyer, P. Izmailov, A. Kolesnikov, M. Caron, S. Kornblith, X. Zhai, M. Minderer, M. Tschannen, I. Alabdulmohsin, and F. Pavetic. CVPR, page 14496-14506. IEEE, (2023)Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.C. Burns, P. Izmailov, J. Kirchner, B. Baker, L. Gao, L. Aschenbrenner, Y. Chen, A. Ecoffet, M. Joglekar, J. Leike and 2 other author(s). ICML, OpenReview.net, (2024)On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification.S. Kapoor, W. Maddox, P. Izmailov, and A. Wilson. CoRR, (2022)Why Normalizing Flows Fail to Detect Out-of-Distribution Data.P. Kirichenko, P. Izmailov, and A. Wilson. NeurIPS, (2020)Dangers of Bayesian Model Averaging under Covariate Shift.P. Izmailov, P. Nicholson, S. Lotfi, and A. Wilson. NeurIPS, page 3309-3322. (2021)There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average.B. Athiwaratkun, M. Finzi, P. Izmailov, and A. Wilson. ICLR (Poster), OpenReview.net, (2019)Averaging Weights Leads to Wider Optima and Better Generalization.P. Izmailov, D. Podoprikhin, T. Garipov, D. Vetrov, and A. Wilson. UAI, page 876-885. AUAI Press, (2018)Subspace Inference for Bayesian Deep Learning.P. Izmailov, W. Maddox, P. Kirichenko, T. Garipov, D. Vetrov, and A. Wilson. UAI, volume 115 of Proceedings of Machine Learning Research, page 1169-1179. AUAI Press, (2019)Semi-Supervised Learning with Normalizing Flows.P. Izmailov, P. Kirichenko, M. Finzi, and A. Wilson. ICML, volume 119 of Proceedings of Machine Learning Research, page 4615-4630. PMLR, (2020)Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data.M. Finzi, S. Stanton, P. Izmailov, and A. Wilson. ICML, volume 119 of Proceedings of Machine Learning Research, page 3165-3176. PMLR, (2020)

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Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Please choose a person to relate this publication to

Dietrich Pavel

Wieland Werther Pavel

Luciana Pavel

Ji Pavelka

Jonas Philipp Pavelka

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Izmailov, Pavel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Please choose a person to relate this publication to

Dietrich Pavel

Wieland Werther Pavel

Luciana Pavel

Ji Pavelka

Jonas Philipp Pavelka

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.