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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

, , and . (2013)cite arxiv:1312.6120Comment: Submission to ICLR2014. Revised based on reviewer feedback.

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On the information bottleneck theory of deep learning, , , , , , and . Journal of Statistical Mechanics: Theory and Experiment, 2019 (12): 124020 (December 2019)Exact solutions to the nonlinear dynamics of learning in deep linear neural networks., , and . ICLR, (2014)Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning., , , and . CoRR, (2018)High-dimensional dynamics of generalization error in neural networks., , and . Neural Networks, (2020)Probing transfer learning with a model of synthetic correlated datasets., , , , and . CoRR, (2021)The Transient Nature of Emergent In-Context Learning in Transformers., , , , , and . CoRR, (2023)Regularised neural networks mimic human insight., , , , , and . CoRR, (2023)Continual Learning in the Teacher-Student Setup: Impact of Task Similarity., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6109-6119. PMLR, (2021)Modeling Perceptual Learning with Deep Networks., and . CogSci, cognitivesciencesociety.org, (2014)What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation., , , , and . CoRR, (2024)