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Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using
  Stochastic Scale

Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale

27 November 2023
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale"

10 / 10 papers shown
Title
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via
  Ensembling Normalization Layers with Shared Weights
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights
Soyed Tuhin Ahmed
Michael Hefenbrock
M. Tahoori
UQCV
31
1
0
07 May 2024
Enhancing Fairness and Performance in Machine Learning Models: A
  Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
Khadija Zanna
Akane Sano
FaML
49
1
0
12 Apr 2024
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
32
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
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian
  Neural Networks
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks
Soyed Tuhin Ahmed
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
24
0
0
09 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
133
324
0
24 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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
9,145
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
336
75,888
0
18 May 2015
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