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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
    AAMLOOD
ArXiv (abs)PDFHTMLGithub (11★)

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

13 / 13 papers shown
Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning
Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning
James Pedley
Benjamin Etheridge
Stephen J. Roberts
Francesco Quinzan
OffRLAAML
116
0
0
14 Oct 2025
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Aleksandar Todorov
Juan Cardenas-Cartagena
Rafael F. Cunha
Marco Zullich
Matthia Sabatelli
CLL
136
1
0
09 Aug 2025
Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks
Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks
Yangqi Feng
S. J. Lin
Baoyuan Gao
Xian Wei
AAML
303
2
0
26 Mar 2025
Chasing Better Deep Image Priors between Over- and
  Under-parameterization
Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu
Xiaohan Chen
Lezhi Li
Zhangyang Wang
333
1
0
31 Oct 2024
Machine Learning Robustness: A Primer
Machine Learning Robustness: A Primer
Houssem Ben Braiek
Foutse Khomh
AAMLOOD
467
21
0
01 Apr 2024
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
295
0
0
21 Oct 2023
Finding Dynamics Preserving Adversarial Winning Tickets
Finding Dynamics Preserving Adversarial Winning TicketsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
249
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 ReviewInternational Conference on Automated Software Engineering (ASE), 2021
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
507
81
0
26 Jul 2021
GANs Can Play Lottery Tickets Too
GANs Can Play Lottery Tickets TooInternational Conference on Learning Representations (ICLR), 2021
Xuxi Chen
Zhenyu Zhang
Yongduo Sui
Tianlong Chen
GAN
190
61
0
31 May 2021
Spatio-Temporal Sparsification for General Robust Graph Convolution
  Networks
Spatio-Temporal Sparsification for General Robust Graph Convolution Networks
Mingming Lu
Ya Zhang
OODAAML
106
0
0
23 Mar 2021
Achieving Adversarial Robustness via Sparsity
Achieving Adversarial Robustness via SparsityMachine-mediated learning (ML), 2020
Shu-Fan Wang
Ningyi Liao
Liyao Xiang
Nanyang Ye
Quanshi Zhang
AAML
171
18
0
11 Sep 2020
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization
  is Sufficient
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is SufficientNeural Information Processing Systems (NeurIPS), 2020
Ankit Pensia
Shashank Rajput
Alliot Nagle
Harit Vishwakarma
Dimitris Papailiopoulos
351
112
0
14 Jun 2020
Pruning via Iterative Ranking of Sensitivity Statistics
Pruning via Iterative Ranking of Sensitivity Statistics
Stijn Verdenius
M. Stol
Patrick Forré
AAML
170
42
0
01 Jun 2020
1