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The Search for Sparse, Robust Neural Networks

The Search for Sparse, Robust Neural Networks

5 December 2019
J. Cosentino
Federico Zaiter
Dan Pei
Jun Zhu
    AAML
    OOD
ArXivPDFHTML

Papers citing "The Search for Sparse, Robust Neural Networks"

6 / 6 papers shown
Title
One is More: Diverse Perspectives within a Single Network for Efficient
  DRL
One is More: Diverse Perspectives within a Single Network for Efficient DRL
Yiqin Tan
Ling Pan
Longbo Huang
OffRL
46
0
0
21 Oct 2023
Finding Dynamics Preserving Adversarial Winning Tickets
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
34
1
0
14 Feb 2022
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
39
66
0
26 Jul 2021
GANs Can Play Lottery Tickets Too
GANs Can Play Lottery Tickets Too
Xuxi Chen
Zhenyu Zhang
Yongduo Sui
Tianlong Chen
GAN
24
58
0
31 May 2021
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization
  is Sufficient
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Ankit Pensia
Shashank Rajput
Alliot Nagle
Harit Vishwakarma
Dimitris Papailiopoulos
24
103
0
14 Jun 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
314
3,115
0
04 Nov 2016
1