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A survey on recently proposed activation functions for Deep Learning

v1v2 (latest)

A survey on recently proposed activation functions for Deep Learning

6 April 2022

Murilo Gustineli

ArXiv (abs)PDF HTML

Papers citing "A survey on recently proposed activation functions for Deep Learning"

5 / 5 papers shown

Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms

Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms

218

3

0

11 Nov 2025

Nonlinearity Enhanced Adaptive Activation Functions

Nonlinearity Enhanced Adaptive Activation Functions

270

1

0

29 Mar 2024

TMSR: Tiny Multi-path CNNs for Super Resolution

TMSR: Tiny Multi-path CNNs for Super Resolution

199

0

0

04 Dec 2023

ErfReLU: Adaptive Activation Function for Deep Neural Network

ErfReLU: Adaptive Activation Function for Deep Neural NetworkPattern Analysis and Applications (PAA), 2023

Ashish Rajanand

268

23

0

02 Jun 2023

Convolutional Neural Network (CNN) to reduce construction loss in JPEG
compression caused by Discrete Fourier Transform (DFT)

Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)

199

0

0

26 Aug 2022

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