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Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep
  Learning

Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning

10 November 2020
E. Gordon-Rodríguez
G. Loaiza-Ganem
Geoff Pleiss
John P. Cunningham
    OOD
    UQCV
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Papers citing "Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning"

4 / 4 papers shown
Title
Interpretable Computer Vision Models through Adversarial Training:
  Unveiling the Robustness-Interpretability Connection
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection
Delyan Boychev
AAML
26
1
0
04 Jul 2023
An Artificial Neural Network Functionalized by Evolution
An Artificial Neural Network Functionalized by Evolution
Fabien Furfaro
Avner Bar-Hen
Geoffroy Berthelot
21
0
0
16 May 2022
The Effect of Model Compression on Fairness in Facial Expression
  Recognition
The Effect of Model Compression on Fairness in Facial Expression Recognition
Samuil Stoychev
Hatice Gunes
CVBM
27
19
0
05 Jan 2022
Metrics for Benchmarking and Uncertainty Quantification: Quality,
  Applicability, and a Path to Best Practices for Machine Learning in Chemistry
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry
G. Vishwakarma
Aditya Sonpal
J. Hachmann
12
46
0
30 Sep 2020
1