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Evaluating Approximate Inference in Bayesian Deep Learning.

A. Wilson, P. Izmailov, M. Hoffman, Y. Gal, Y. Li, M. Pradier, S. Vikram, A. Foong, S. Lotfi, and S. Farquhar. NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 113-124. PMLR, (2021)

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Dietrich Pavel

Jonas Philipp Pavelka

Ji Pavelka

Wieland Werther Pavel

Luciana Pavel

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Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs.T. Garipov, P. Izmailov, D. Podoprikhin, D. Vetrov, and A. Wilson. NeurIPS, page 8803-8812. (2018)A Simple Baseline for Bayesian Uncertainty in Deep Learning.W. Maddox, P. Izmailov, T. Garipov, D. Vetrov, and A. Wilson. NeurIPS, page 13132-13143. (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)Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.P. Kirichenko, P. Izmailov, and A. Wilson. ICLR, OpenReview.net, (2023)Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.P. Kirichenko, P. Izmailov, and A. Wilson. CoRR, (2022)On Feature Learning in the Presence of Spurious Correlations.P. Izmailov, P. Kirichenko, N. Gruver, and A. Wilson. CoRR, (2022)Learning Invariances in Neural Networks from Training Data.G. Benton, M. Finzi, P. Izmailov, and A. Wilson. NeurIPS, (2020)Does Knowledge Distillation Really Work?S. Stanton, P. Izmailov, P. Kirichenko, A. Alemi, and A. Wilson. NeurIPS, page 6906-6919. (2021)Evaluating Approximate Inference in Bayesian Deep Learning.A. Wilson, P. Izmailov, M. Hoffman, Y. Gal, Y. Li, M. Pradier, S. Vikram, A. Foong, S. Lotfi, and S. Farquhar. NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 113-124. PMLR, (2021)

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Disambiguation of "Izmailov, Pavel"

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Evaluating Approximate Inference in Bayesian Deep Learning.

Please choose a person to relate this publication to

Dietrich Pavel

Jonas Philipp Pavelka

Ji Pavelka

Wieland Werther Pavel

Luciana Pavel

Other publications of authors with the same name

Disambiguation

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Disambiguation of "Izmailov, Pavel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluating Approximate Inference in Bayesian Deep Learning.

Please choose a person to relate this publication to

Dietrich Pavel

Jonas Philipp Pavelka

Ji Pavelka

Wieland Werther Pavel

Luciana Pavel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Evaluating Approximate Inference in Bayesian Deep Learning.