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Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance

Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance

Mackenzie J. Meni
Ryan T. White
Michael L. Mayo
K. Pilkiewicz
    BDL
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Papers citing "Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance"

5 / 5 papers shown
Title
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Sheng Xu
Yanjing Li
Mingbao Lin
Penglei Gao
Guodong Guo
Jinhu Lu
Baochang Zhang
MQ
70
23
0
01 Apr 2023
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events
S. Rudy
T. Sapsis
57
16
0
01 Dec 2021
fastai: A Layered API for Deep Learning
fastai: A Layered API for Deep Learning
Jeremy Howard
Sylvain Gugger
AI4CE
122
867
0
11 Feb 2020
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
416
16,944
0
20 Dec 2013

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