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On Feature Learning in Neural Networks with Global Convergence
  Guarantees

On Feature Learning in Neural Networks with Global Convergence Guarantees

22 April 2022
Zhengdao Chen
Eric Vanden-Eijnden
Joan Bruna
    MLT
ArXivPDFHTML

Papers citing "On Feature Learning in Neural Networks with Global Convergence Guarantees"

3 / 3 papers shown
Title
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
François Caron
Fadhel Ayed
Paul Jung
Hoileong Lee
Juho Lee
Hongseok Yang
62
2
0
02 Feb 2023
Gradient flow dynamics of shallow ReLU networks for square loss and
  orthogonal inputs
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier
Loucas Pillaud-Vivien
Nicolas Flammarion
ODL
19
58
0
02 Jun 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
69
44
0
04 Feb 2021
1