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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

A. C. B. D. Oliveira
Milad Siami
Eduardo Sontag
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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
59
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
52
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
127
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
56
14,831
1
21 Dec 2013

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