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Scalable and Efficient Methods for Uncertainty Estimation and Reduction
  in Deep Learning

Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning

13 January 2024
Soyed Tuhin Ahmed
    BDL
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Papers citing "Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning"

3 / 3 papers shown
Title
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
Soyed Tuhin Ahmed
K. Danouchi
G. Prenat
L. Anghel
M. Tahoori
32
2
0
23 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
One-Shot Online Testing of Deep Neural Networks Based on Distribution
  Shift Detection
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection
Soyed Tuhin Ahmed
M. Tahoori
34
3
0
16 May 2023
1