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Enhancing Reliability of Neural Networks at the Edge: Inverted
  Normalization with Stochastic Affine Transformations

Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations

23 January 2024
Soyed Tuhin Ahmed
K. Danouchi
G. Prenat
L. Anghel
M. Tahoori
ArXivPDFHTML

Papers citing "Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations"

5 / 5 papers shown
Title
Scalable and Efficient Methods for Uncertainty Estimation and Reduction
  in Deep Learning
Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
Soyed Tuhin Ahmed
BDL
26
0
0
13 Jan 2024
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on
  Spintronics for Green AI
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
Soyed Tuhin Ahmed
K. Danouchi
G. Prenat
L. Anghel
M. Tahoori
33
0
0
11 Jan 2024
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network
  with Spintronics Implementation
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
46
8
0
16 Jun 2023
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
131
324
0
24 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1