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Active Subspace of Neural Networks: Structural Analysis and Universal
  Attacks

Active Subspace of Neural Networks: Structural Analysis and Universal Attacks

29 October 2019
Chunfeng Cui
Kaiqi Zhang
Talgat Daulbaev
Julia Gusak
Ivan Oseledets
Zheng-Wei Zhang
    AAML
ArXivPDFHTML

Papers citing "Active Subspace of Neural Networks: Structural Analysis and Universal Attacks"

5 / 5 papers shown
Title
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
Z. Liu
Ruijie Zhang
Zihan Wang
Zi Yang
Paul Hovland
Bogdan Nicolae
Franck Cappello
Z. Zhang
49
0
0
16 Feb 2025
Learning Active Subspaces for Effective and Scalable Uncertainty
  Quantification in Deep Neural Networks
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
Sanket R. Jantre
Nathan M. Urban
Xiaoning Qian
Byung-Jun Yoon
BDL
UQCV
26
4
0
06 Sep 2023
Quantization Aware Factorization for Deep Neural Network Compression
Quantization Aware Factorization for Deep Neural Network Compression
Daria Cherniuk
Stanislav Abukhovich
Anh-Huy Phan
Ivan Oseledets
A. Cichocki
Julia Gusak
MQ
23
2
0
08 Aug 2023
A Proper Orthogonal Decomposition approach for parameters reduction of
  Single Shot Detector networks
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks
L. Meneghetti
N. Demo
G. Rozza
29
1
0
27 Jul 2022
Federated Optimization of Smooth Loss Functions
Federated Optimization of Smooth Loss Functions
Ali Jadbabaie
A. Makur
Devavrat Shah
FedML
21
7
0
06 Jan 2022
1