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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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Yasaman Rahbar

Nesrine Bahri

Daoud Bahri

Yasaman Karami

Bahri Yilmaz

Other publications of authors with the same name

Quantum Many-Body Physics Calculations with Large Language Models.H. Pan, N. Mudur, W. Taranto, M. Tikhanovskaya, S. Venugopalan, Y. Bahri, M. Brenner, and E. Kim. CoRR, (2024)Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes.R. Novak, L. Xiao, Y. Bahri, J. Lee, G. Yang, J. Hron, D. Abolafia, J. Pennington, and J. Sohl-Dickstein. ICLR (Poster), OpenReview.net, (2019)The large learning rate phase of deep learning: the catapult mechanismA. Lewkowycz, Y. Bahri, E. Dyer, J. Sohl-Dickstein, and G. Gur-Ari. arXiv preprint arXiv:2003.02218, (2020)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)Infinite attention: NNGP and NTK for deep attention networks.J. Hron, Y. Bahri, J. Sohl-Dickstein, and R. Novak. ICML, volume 119 of Proceedings of Machine Learning Research, page 4376-4386. PMLR, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 440 other author(s). CoRR, (2022)The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning.A. Andreassen, Y. Bahri, B. Neyshabur, and R. Roelofs. CoRR, (2021)Geometry of Neural Network Loss Surfaces via Random Matrix Theory.J. Pennington, and Y. Bahri. ICML, volume 70 of Proceedings of Machine Learning Research, page 2798-2806. PMLR, (2017)Bayesian Deep Convolutional Networks with Many Channels are Gaussian ProcessesR. Novak, L. Xiao, J. Lee, Y. Bahri, G. Yang, J. Hron, D. Abolafia, J. Pennington, and J. Sohl-Dickstein. (2018)cite arxiv:1810.05148Comment: Published as a conference paper at ICLR 2019.Statistical Mechanics of Deep LearningY. Bahri, J. Kadmon, J. Pennington, S. Schoenholz, J. Sohl-Dickstein, and S. Ganguli. Annual Review of Condensed Matter Physics, 11 (1): null (2020)

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Disambiguation of "Bahri, Yasaman"

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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

Yasaman Rahbar

Nesrine Bahri

Daoud Bahri

Yasaman Karami

Bahri Yilmaz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bahri, Yasaman"

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

Yasaman Rahbar

Nesrine Bahri

Daoud Bahri

Yasaman Karami

Bahri Yilmaz

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
Harvard
MSOffice XML

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