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Soft-Root-Sign Activation Function

Soft-Root-Sign Activation Function

1 March 2020
Yuan Zhou
Dandan Li
Shuwei Huo
S. Kung
    ODL
ArXiv (abs)PDFHTML

Papers citing "Soft-Root-Sign Activation Function"

10 / 10 papers shown
Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms
Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms
Yahong Yang
Juncai He
ELMAI4CE
175
2
0
07 Aug 2025
Learning Activation Functions for Sparse Neural Networks
Learning Activation Functions for Sparse Neural Networks
Mohammad Loni
Aditya Mohan
Mehdi Asadi
Marius Lindauer
279
6
0
18 May 2023
How important are activation functions in regression and classification?
  A survey, performance comparison, and future directions
How important are activation functions in regression and classification? A survey, performance comparison, and future directionsJournal of Machine Learning for Modeling and Computing (JMLMC), 2022
Ameya Dilip Jagtap
George Karniadakis
AI4CE
694
104
0
06 Sep 2022
Optimal Activation Functions for the Random Features Regression Model
Optimal Activation Functions for the Random Features Regression ModelInternational Conference on Learning Representations (ICLR), 2022
Jianxin Wang
José Bento
305
4
0
31 May 2022
Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
464
1,020
0
29 Sep 2021
Deep ensembles based on Stochastic Activation Selection for Polyp
  Segmentation
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
A. Lumini
L. Nanni
Gianluca Maguolo
SSeg
315
3
0
02 Apr 2021
Comparison of different convolutional neural network activation
  functions and methods for building ensembles
Comparison of different convolutional neural network activation functions and methods for building ensembles
L. Nanni
Gianluca Maguolo
S. Brahnam
M. Paci
236
8
0
29 Mar 2021
Comparisons among different stochastic selection of activation layers
  for convolutional neural networks for healthcare
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
L. Nanni
A. Lumini
Stefano Ghidoni
Gianluca Maguolo
116
2
0
24 Nov 2020
EIS -- a family of activation functions combining Exponential, ISRU, and
  Softplus
EIS -- a family of activation functions combining Exponential, ISRU, and Softplus
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
147
2
0
28 Sep 2020
TanhSoft -- a family of activation functions combining Tanh and Softplus
TanhSoft -- a family of activation functions combining Tanh and Softplus
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
169
7
0
08 Sep 2020
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