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On the interplay between data structure and loss function in
  classification problems

On the interplay between data structure and loss function in classification problems

9 March 2021
Stéphane dÁscoli
Marylou Gabrié
Levent Sagun
Giulio Biroli
ArXivPDFHTML

Papers citing "On the interplay between data structure and loss function in classification problems"

5 / 5 papers shown
Title
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
MLT
37
19
0
11 Oct 2023
Demystifying Disagreement-on-the-Line in High Dimensions
Demystifying Disagreement-on-the-Line in High Dimensions
Dong-Hwan Lee
Behrad Moniri
Xinmeng Huang
Edgar Dobriban
Hamed Hassani
21
8
0
31 Jan 2023
Estimation under Model Misspecification with Fake Features
Estimation under Model Misspecification with Fake Features
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
16
11
0
07 Mar 2022
Multi-scale Feature Learning Dynamics: Insights for Double Descent
Multi-scale Feature Learning Dynamics: Insights for Double Descent
Mohammad Pezeshki
Amartya Mitra
Yoshua Bengio
Guillaume Lajoie
61
25
0
06 Dec 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
197
260
0
18 Apr 2021
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