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Paper

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

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AI summary

arXiv:2606. 04476v1 Announce Type: cross Abstract: In this paper, we study the gradient descent dynamics for jointly training both layers of a one-hidden-layer ReLU network to fit a linear target function.