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Cross-Model Consensus of Explanations and Beyond for Image
  Classification Models: An Empirical Study

Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study

2 September 2021
Xuhong Li
Haoyi Xiong
Siyu Huang
Shilei Ji
Dejing Dou
ArXivPDFHTML

Papers citing "Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study"

3 / 3 papers shown
Title
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
1