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Feature learning as alignment: a structural property of gradient descent
  in non-linear neural networks

Feature learning as alignment: a structural property of gradient descent in non-linear neural networks

7 February 2024
Daniel Beaglehole
Ioannis Mitliagkas
Atish Agarwala
    MLT
ArXivPDFHTML

Papers citing "Feature learning as alignment: a structural property of gradient descent in non-linear neural networks"

2 / 2 papers shown
Title
Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
MLT
313
48
0
29 Sep 2022
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data
  Efficiency and Imperfect Teacher
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Guangda Ji
Zhanxing Zhu
43
32
0
20 Oct 2020
1