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Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark

Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

29 September 2021
S. Dubey
S. Singh
B. B. Chaudhuri
ArXivPDFHTML

Papers citing "Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark"

18 / 18 papers shown
Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
24
0
0
05 May 2025
Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation
Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation
Ahmad Süleyman
Göksel Biricik
41
2
0
15 Jan 2025
Cauchy activation function and XNet
Cauchy activation function and XNet
Xin Li
Zhihong Xia
Hongkun Zhang
26
4
0
28 Sep 2024
Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with
  Multilayer Perceptrons
Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons
Farhad Pourkamali-Anaraki
28
5
0
16 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures
Michael Unser
Alexis Goujon
Stanislas Ducotterd
24
2
0
23 Aug 2024
A Survey on Failure Analysis and Fault Injection in AI Systems
A Survey on Failure Analysis and Fault Injection in AI Systems
Guangba Yu
Gou Tan
Haojia Huang
Zhenyu Zhang
Pengfei Chen
Roberto Natella
Zibin Zheng
34
3
0
28 Jun 2024
BrowNNe: Brownian Nonlocal Neurons & Activation Functions
BrowNNe: Brownian Nonlocal Neurons & Activation Functions
Sriram Nagaraj
Truman Hickok
21
0
0
21 Jun 2024
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with
  Multi-Branch Adversarial Training
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
L. Meegahapola
Hamza Hassoune
D. Gática-Pérez
32
8
0
26 Apr 2024
Neural Redshift: Random Networks are not Random Functions
Neural Redshift: Random Networks are not Random Functions
Damien Teney
A. Nicolicioiu
Valentin Hartmann
Ehsan Abbasnejad
89
18
0
04 Mar 2024
Speech Swin-Transformer: Exploring a Hierarchical Transformer with
  Shifted Windows for Speech Emotion Recognition
Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition
Yong Wang
Cheng Lu
Hailun Lian
Yan Zhao
Bjorn Schuller
Yuan Zong
Wenming Zheng
13
10
0
19 Jan 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced
  linear classification
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
Hyenkyun Woo
13
0
0
26 Dec 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot
I. Redko
Anton Mallasto
Charlotte Laclau
Karol Arndt
Oliver Struckmeier
Markus Heinonen
Ville Kyrki
Samuel Kaski
52
2
0
17 Oct 2023
HRTF upsampling with a generative adversarial network using a gnomonic
  equiangular projection
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection
Aidan O. T. Hogg
Mads Jenkins
Helena E. Liu
Isaac Squires
Samuel J. Cooper
L. Picinali
15
13
0
09 Jun 2023
Review and Comparison of Commonly Used Activation Functions for Deep
  Neural Networks
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
Tomasz Szandała
54
269
0
15 Oct 2020
Dynamic ReLU
Dynamic ReLU
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
161
157
0
22 Mar 2020
Learning Neural Activations
Learning Neural Activations
F. Minhas
Amina Asif
11
2
0
27 Dec 2019
diffGrad: An Optimization Method for Convolutional Neural Networks
diffGrad: An Optimization Method for Convolutional Neural Networks
S. Dubey
Soumendu Chakraborty
S. K. Roy
Snehasis Mukherjee
S. Singh
B. B. Chaudhuri
ODL
59
181
0
12 Sep 2019
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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