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Two Routes to Scalable Credit Assignment without Weight Symmetry

, , , , , and . (2020)cite arxiv:2003.01513Comment: 19 pages including supplementary information, 10 figures.

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An analytic theory of generalization dynamics and transfer learning in deep linear networks., and . ICLR (Poster), OpenReview.net, (2019)MetaMorph: Learning Universal Controllers with Transformers., , , and . ICLR, OpenReview.net, (2022)Predictive coding in balanced neural networks with noise, chaos and delays., , and . NeurIPS, (2020)Two Routes to Scalable Credit Assignment without Weight Symmetry., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5511-5521. PMLR, (2020)Exact solutions to the nonlinear dynamics of learning in deep linear neural networks., , and . ICLR, (2014)Geometric Dynamics of Signal Propagation Predict Trainability of Transformers., , , and . CoRR, (2024)Holistic Evaluation of Language Models., , , , , , , , , and 40 other author(s). Trans. Mach. Learn. Res., (2023)RNNs can generate bounded hierarchical languages with optimal memory., , , , and . EMNLP (1), page 1978-2010. Association for Computational Linguistics, (2020)Emergent properties of the local geometry of neural loss landscapes, and . (2019)cite arxiv:1910.05929Comment: 10 pages, 8 figures.Fundamental bounds on the fidelity of sensory cortical coding., , , , , , , , , and . Nat., 580 (7801): 100-105 (2020)