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A survey on modern trainable activation functions

A survey on modern trainable activation functions

2 May 2020
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
ArXivPDFHTML

Papers citing "A survey on modern trainable activation functions"

15 / 65 papers shown
Title
Neuronal diversity can improve machine learning for physics and beyond
Neuronal diversity can improve machine learning for physics and beyond
A. Choudhary
Anil Radhakrishnan
J. Lindner
S. Sinha
W. Ditto
AI4CE
16
3
0
09 Apr 2022
A survey on recently proposed activation functions for Deep Learning
A survey on recently proposed activation functions for Deep Learning
Murilo Gustineli
10
25
0
06 Apr 2022
Tackling Multipath and Biased Training Data for IMU-Assisted BLE
  Proximity Detection
Tackling Multipath and Biased Training Data for IMU-Assisted BLE Proximity Detection
Tianlang He
Jiajie Tan
Weipeng Zhuo
Maximilian Printz
Shueng-Han Gary Chan
13
9
0
11 Jan 2022
FitAct: Error Resilient Deep Neural Networks via Fine-Grained
  Post-Trainable Activation Functions
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions
B. Ghavami
Mani Sadati
Zhenman Fang
Lesley Shannon
AI4CE
15
26
0
27 Dec 2021
Why KDAC? A general activation function for knowledge discovery
Why KDAC? A general activation function for knowledge discovery
Zhenhua Wang
Dong Gao
Haozhe Liu
Fanglin Liu
18
11
0
27 Nov 2021
Biologically Inspired Oscillating Activation Functions Can Bridge the
  Performance Gap between Biological and Artificial Neurons
Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons
Matthew Mithra Noel
Shubham Bharadwaj
Venkataraman Muthiah-Nakarajan
Praneet Dutta
G. B. Amali
16
5
0
07 Nov 2021
Language Semantics Interpretation with an Interaction-based Recurrent
  Neural Networks
Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks
S. Lo
Yiqiao Yin
16
2
0
02 Nov 2021
NEWRON: A New Generalization of the Artificial Neuron to Enhance the
  Interpretability of Neural Networks
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
F. Siciliano
Maria Sofia Bucarelli
Gabriele Tolomei
Fabrizio Silvestri
GNN
AI4CE
17
6
0
05 Oct 2021
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
41
641
0
29 Sep 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural
  Networks
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
G. Bingham
Risto Miikkulainen
ODL
24
4
0
18 Sep 2021
Effect of the output activation function on the probabilities and errors
  in medical image segmentation
Effect of the output activation function on the probabilities and errors in medical image segmentation
Lars Nieradzik
G. Scheuermann
D. Saur
Christina Gillmann
SSeg
MedIm
UQCV
35
6
0
02 Sep 2021
Tensor-based framework for training flexible neural networks
Tensor-based framework for training flexible neural networks
Yassine Zniyed
K. Usevich
S. Miron
D. Brie
22
1
0
25 Jun 2021
Recent Advances in Deep Learning Techniques for Face Recognition
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad
Awal Ahmed Fime
Delowar Sikder
Md. Akil Raihan Iftee
Jakaria Rabbi
Mabrook S. Al-Rakhami
Abdu H. Gumaei
Ovishake Sen
Mohtasim Fuad
Md. Nazrul Islam
34
63
0
18 Mar 2021
Multi-Activation Hidden Units for Neural Networks with Random Weights
Multi-Activation Hidden Units for Neural Networks with Random Weights
A. Patrikar
ODL
11
1
0
06 Sep 2020
Non-linear Neurons with Human-like Apical Dendrite Activations
Non-linear Neurons with Human-like Apical Dendrite Activations
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Nicolae-Cătălin Ristea
N. Sebe
13
19
0
02 Feb 2020
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