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QuickNets: Saving Training and Preventing Overconfidence in Early-Exit
  Neural Architectures

QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures

25 December 2022
Devdhar Patel
H. Siegelmann
    OnRL
ArXivPDFHTML

Papers citing "QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures"

3 / 3 papers shown
Title
Improving the Accuracy of Early Exits in Multi-Exit Architectures via
  Curriculum Learning
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
28
12
0
21 Apr 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
46
17
0
15 Apr 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
264
36,371
0
25 Aug 2016
1