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Don't Fear Peculiar Activation Functions: EUAF and Beyond

Don't Fear Peculiar Activation Functions: EUAF and Beyond

12 July 2024
Qianchao Wang
Shijun Zhang
Dong Zeng
Zhaoheng Xie
Hengtao Guo
Feng-Lei Fan
Tieyong Zeng
ArXivPDFHTML

Papers citing "Don't Fear Peculiar Activation Functions: EUAF and Beyond"

5 / 5 papers shown
Title
Kolmogorov-Arnold Networks: Approximation and Learning Guarantees for Functions and their Derivatives
Kolmogorov-Arnold Networks: Approximation and Learning Guarantees for Functions and their Derivatives
Anastasis Kratsios
Takashi Furuya
22
0
0
21 Apr 2025
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
Yuling Jiao
Yanming Lai
Yang Wang
Bokai Yan
34
0
0
18 Apr 2025
Pivotal Auto-Encoder via Self-Normalizing ReLU
Pivotal Auto-Encoder via Self-Normalizing ReLU
Nelson Goldenstein
Jeremias Sulam
Yaniv Romano
24
2
0
23 Jun 2024
Magnitude and Angle Dynamics in Training Single ReLU Neurons
Magnitude and Angle Dynamics in Training Single ReLU Neurons
Sangmin Lee
Byeongsu Sim
Jong Chul Ye
MLT
92
6
0
27 Sep 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
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