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An analytic theory of generalization dynamics and transfer learning in deep linear networks.

A. Lampinen, and S. Ganguli. ICLR (Poster), OpenReview.net, (2019)

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Indranil Ganguli

Arnab Ganguli

Gusti Ngurah Agung Suryaputra

Surya Hermawan

Djoenaidy Suryatanto

Other publications of authors with the same name

Emergent properties of the local geometry of neural loss landscapesS. Fort, and S. Ganguli. (2019)cite arxiv:1910.05929Comment: 10 pages, 8 figures.Fundamental bounds on the fidelity of sensory cortical coding.O. Rumyantsev, J. Lecoq, O. Hernandez, Y. Zhang, J. Savall, R. Chrapkiewicz, J. Li, H. Zeng, S. Ganguli, and M. Schnitzer. Nat., 580 (7801): 100-105 (2020)Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.N. Maheswaranathan, A. Williams, M. Golub, S. Ganguli, and D. Sussillo. NeurIPS, page 15670-15679. (2019)Identifying Learning Rules From Neural Network Observables.A. Nayebi, S. Srivastava, S. Ganguli, and D. Yamins. NeurIPS, (2020)Short-term memory in neuronal networks through dynamical compressed sensing.S. Ganguli, and H. Sompolinsky. NIPS, page 667-675. Curran Associates, Inc., (2010)Pruning neural networks without any data by iteratively conserving synaptic flow.H. Tanaka, D. Kunin, D. Yamins, and S. Ganguli. NeurIPS, (2020)Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel.S. Fort, G. Dziugaite, M. Paul, S. Kharaghani, D. Roy, and S. Ganguli. NeurIPS, (2020)A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions.G. Mel, and S. Ganguli. ICML, volume 139 of Proceedings of Machine Learning Research, page 7578-7587. PMLR, (2021)Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning.D. Kunin, A. Raventós, C. Dominé, F. Chen, D. Klindt, A. Saxe, and S. Ganguli. CoRR, (2024)Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.A. Saxe, J. McClelland, and S. Ganguli. ICLR, (2014)

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Disambiguation of "Ganguli, Surya"

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An analytic theory of generalization dynamics and transfer learning in deep linear networks.

Please choose a person to relate this publication to

Indranil Ganguli

Arnab Ganguli

Gusti Ngurah Agung Suryaputra

Surya Hermawan

Djoenaidy Suryatanto

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ganguli, Surya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An analytic theory of generalization dynamics and transfer learning in deep linear networks.

Please choose a person to relate this publication to

Indranil Ganguli

Arnab Ganguli

Gusti Ngurah Agung Suryaputra

Surya Hermawan

Djoenaidy Suryatanto

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

An analytic theory of generalization dynamics and transfer learning in deep linear networks.