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Intelligent synapses for multi-task and transfer learning.

B. Poole, F. Zenke, and S. Ganguli. ICLR (Workshop), OpenReview.net, (2017)

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Indranil Ganguli

Arnab Ganguli

Gusti Ngurah Agung Suryaputra

Surya Hermawan

Djoenaidy Suryatanto

Other publications of authors with the same name

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)Identifying Learning Rules From Neural Network Observables.A. Nayebi, S. Srivastava, S. Ganguli, and D. Yamins. 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)Pruning neural networks without any data by iteratively conserving synaptic flow.H. Tanaka, D. Kunin, D. Yamins, and S. Ganguli. NeurIPS, (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)Short-term memory in neuronal networks through dynamical compressed sensing.S. Ganguli, and H. Sompolinsky. NIPS, page 667-675. Curran Associates, Inc., (2010)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)Emergent properties of the local geometry of neural loss landscapesS. Fort, and S. Ganguli. (2019)cite arxiv:1910.05929Comment: 10 pages, 8 figures.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)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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Disambiguation of "Ganguli, Surya"

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Intelligent synapses for multi-task and transfer learning.

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 Intelligent synapses for multi-task and transfer learning.

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

Intelligent synapses for multi-task and transfer learning.