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On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural
  Networks with Linear Activations

On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural Networks with Linear Activations

17 May 2023
A. C. B. D. Oliveira
Milad Siami
Eduardo Sontag
ArXivPDFHTML

Papers citing "On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural Networks with Linear Activations"

4 / 4 papers shown
Title
The Curious Case of Adversarially Robust Models: More Data Can Help,
  Double Descend, or Hurt Generalization
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Yifei Min
Lin Chen
Amin Karbasi
AAML
62
69
0
25 Feb 2020
Implicit Regularization in Deep Matrix Factorization
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora
Nadav Cohen
Wei Hu
Yuping Luo
AI4CE
56
500
0
31 May 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
150
1,628
0
28 Dec 2018
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
106
14,831
1
21 Dec 2013
1