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2011.05231
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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
Delyan Boychev
AAML
26
1
0
04 Jul 2023
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
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
G. Vishwakarma
Aditya Sonpal
J. Hachmann
12
46
0
30 Sep 2020
1