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SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust
  Neural Network Inference

SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference

9 August 2023
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
Xavier Fischer
    AAML
ArXivPDFHTML

Papers citing "SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference"

5 / 5 papers shown
Title
IDGI: A Framework to Eliminate Explanation Noise from Integrated
  Gradients
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients
Ruo Yang
Binghui Wang
M. Bilgic
37
19
0
24 Mar 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
42
9
0
08 Jul 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian
  Approximation
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo
Yuxian Qiu
Jingwen Leng
Xiaotian Gao
Chen Zhang
Yunxin Liu
Fan Yang
Yuhao Zhu
Minyi Guo
MQ
72
70
0
14 Feb 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
74
45
0
04 Feb 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
1