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ENTITY Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

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    New theory explains incremental learning in shallow neural networks

    Researchers have developed a new theoretical framework for understanding incremental learning in shallow neural networks. This work focuses on polynomial-width two-layer networks trained on orthogonal multi-index target…