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Modelling the influence of data structure on learning in neural networks: the hidden manifold model

, , , and . (2019)cite arxiv:1909.11500.

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Learning curves of generic features maps for realistic datasets with a teacher-student model., , , , , , and . NeurIPS, page 18137-18151. (2021)Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 12455-12477. PMLR, (2022)The dynamics of representation learning in shallow, non-linear autoencoders., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18499-18519. PMLR, (2022)Modelling the influence of data structure on learning in neural networks: the hidden manifold model, , , and . (2019)cite arxiv:1909.11500.The dynamics of learning with feedback alignment., , , and . CoRR, (2020)Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup., , , , and . NeurIPS, page 6979-6989. (2019)Redundant representations help generalization in wide neural networks., , , and . NeurIPS, (2022)Representation mitosis in wide neural networks., , , and . CoRR, (2021)The Gaussian equivalence of generative models for learning with shallow neural networks., , , , , and . MSML, volume 145 of Proceedings of Machine Learning Research, page 426-471. PMLR, (2021)Neural networks trained with SGD learn distributions of increasing complexity., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28843-28863. PMLR, (2023)