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Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

16 October 2018
Yigitcan Kaya
Sanghyun Hong
Tudor Dumitras
ArXivPDFHTML

Papers citing "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"

2 / 2 papers shown
Title
F-PABEE: Flexible-patience-based Early Exiting for Single-label and
  Multi-label text Classification Tasks
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks
Xiangxiang Gao
Wei-wei Zhu
Jiasheng Gao
Congrui Yin
VLM
33
12
0
21 May 2023
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
287
9,167
0
06 Jun 2015
1