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Phase Diagram of Initial Condensation for Two-Layer Neural Networks
23866 1689 Pages:448-514 -
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections
41142 3506 Pages:532-550 -
Understanding the Initial Condensation of Convolutional Neural Networks
8533 618 Pages:272-319 -
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
293310 3110 Pages:692-760 -
BINet: Learn to Solve Partial Differential Equations with Boundary Integral Networks
35439 3289 Pages:275-305 -
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
21530 1934 Pages:350-389
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