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Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.

L. Xiao, Y. Bahri, J. Sohl-Dickstein, S. Schoenholz, and J. Pennington. ICML, volume 80 of Proceedings of Machine Learning Research, page 5389-5398. PMLR, (2018)

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Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

jeffrey Wimmer

Jeffrey Windisch

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A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions.B. Adlam, J. Levinson, and J. Pennington. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3434-3457. PMLR, (2022)Second-order regression models exhibit progressive sharpening to the edge of stability.A. Agarwala, F. Pedregosa, and J. Pennington. ICML, volume 202 of Proceedings of Machine Learning Research, page 169-195. PMLR, (2023)Nonlinear random matrix theory for deep learning.J. Pennington, and P. Worah. NIPS, page 2637-2646. (2017)Clinical Data Research Network Lessons Learned.K. Murphy, J. Pennington, A. Browne, B. Ruth, R. Khare, L. Davidson, P. Morris, L. Utidjian, and C. Bailey. CRI, AMIA, (2016)Deep Neural Networks as Gaussian Processes.J. Lee, Y. Bahri, R. Novak, S. Schoenholz, J. Pennington, and J. Sohl-Dickstein. ICLR (Poster), OpenReview.net, (2018)KAMA-NNs: Low-dimensional Rotation Based Neural Networks.K. Choromanski, A. Pacchiano, J. Pennington, and Y. Tang. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 236-245. PMLR, (2019)A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning.B. Adlam, J. Levinson, and J. Pennington. CoRR, (2019)Anisotropic Random Feature Regression in High Dimensions.G. Mel, and J. Pennington. ICLR, OpenReview.net, (2022)Spherical Random Features for Polynomial Kernels.J. Pennington, F. Yu, and S. Kumar. NIPS, page 1846-1854. (2015)Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition.B. Adlam, and J. Pennington. NeurIPS, (2020)

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Disambiguation of "Pennington, Jeffrey"

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Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.

Please choose a person to relate this publication to

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

jeffrey Wimmer

Jeffrey Windisch

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pennington, Jeffrey"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.

Please choose a person to relate this publication to

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

jeffrey Wimmer

Jeffrey Windisch

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.