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On the Robustness and Anomaly Detection of Sparse Neural Networks

On the Robustness and Anomaly Detection of Sparse Neural Networks

9 July 2022
Morgane Ayle
Bertrand Charpentier
John Rachwan
Daniel Zügner
Simon Geisler
Stephan Günnemann
    AAML
ArXivPDFHTML

Papers citing "On the Robustness and Anomaly Detection of Sparse Neural Networks"

3 / 3 papers shown
Title
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
26
0
0
29 Mar 2024
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
171
324
0
01 Oct 2021
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
268
5,635
0
05 Dec 2016
1