ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.14545
  4. Cited By
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"

44 / 94 papers shown
Title
Adaptive Activation Functions for Predictive Modeling with Sparse
  Experimental Data
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data
Farhad Pourkamali-Anaraki
Tahamina Nasrin
Robert E. Jensen
Amy M. Peterson
Christopher J. Hansen
19
7
0
08 Feb 2024
MelNet: A Real-Time Deep Learning Algorithm for Object Detection
MelNet: A Real-Time Deep Learning Algorithm for Object Detection
Yashar Azadvatan
Murat Kurt
ObjD
14
4
0
31 Jan 2024
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
Mihaela Croitor Ibrahim
Nishant Ravikumar
Alistair P. Curd
Joanna Leng
Oliver Umney
Michelle Peckham
6
0
0
24 Jan 2024
DVL Calibration using Data-driven Methods
DVL Calibration using Data-driven Methods
Zeev Yampolsky
Itzik Klein
9
1
0
23 Jan 2024
HOSC: A Periodic Activation Function for Preserving Sharp Features in
  Implicit Neural Representations
HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations
Danzel Serrano
Jakub Szymkowiak
Przemyslaw Musialski
13
4
0
20 Jan 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
21
10
0
19 Jan 2024
Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential
  of Task-Irrelevant Data
Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data
Jinjin Zhu
Yucheng Chen
Lin Wang
25
2
0
10 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
26
2
0
31 Dec 2023
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced
  linear classification
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
Hyenkyun Woo
15
0
0
26 Dec 2023
Unsupervised Random Quantum Networks for PDEs
Unsupervised Random Quantum Networks for PDEs
Josh Dees
Antoine Jacquier
Sylvain Laizet
16
2
0
21 Dec 2023
DemaFormer: Damped Exponential Moving Average Transformer with
  Energy-Based Modeling for Temporal Language Grounding
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
Thong Nguyen
Xiaobao Wu
Xinshuai Dong
Cong-Duy Nguyen
See-Kiong Ng
Anh Tuan Luu
29
7
0
05 Dec 2023
Improved weight initialization for deep and narrow feedforward neural
  network
Improved weight initialization for deep and narrow feedforward neural network
Hyunwoo Lee
Yunho Kim
Seungyeop Yang
Hayoung Choi
ODL
12
3
0
07 Nov 2023
Toward Flare-Free Images: A Survey
Toward Flare-Free Images: A Survey
Yousef Kotp
Marwan Torki
43
3
0
22 Oct 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
54
2
0
17 Oct 2023
A predict-and-optimize approach to profit-driven churn prevention
A predict-and-optimize approach to profit-driven churn prevention
Nuria Gómez-Vargas
Sebastián Maldonado
Carla Vairetti
18
2
0
10 Oct 2023
The Geometric Structure of Fully-Connected ReLU Layers
The Geometric Structure of Fully-Connected ReLU Layers
Jonatan Vallin
K. Larsson
M. Larson
16
2
0
05 Oct 2023
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization
Yu Ding
Junzhou Yu
Chunzhi Gu
Shangce Gao
Chao Zhang
16
3
0
14 Sep 2023
A physics-informed and attention-based graph learning approach for
  regional electric vehicle charging demand prediction
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction
Haohao Qu
Haoxuan Kuang
Jun Li
Linlin You
GNN
19
19
0
11 Sep 2023
Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method
  for Speech Emotion Recognition
Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
Yong Wang
Cheng Lu
Yuan Zong
Hailun Lian
Yan Zhao
Sunan Li
ViT
14
4
0
28 Aug 2023
Gaussian Graph with Prototypical Contrastive Learning in E-Commerce
  Bundle Recommendation
Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation
Zhao-Yang Liu
Liucheng Sun
Chenwei Weng
Qijin Chen
Chengfu Huo
13
1
0
25 Jul 2023
Rational Neural Network Controllers
Rational Neural Network Controllers
M. Newton
A. Papachristodoulou
OOD
AAML
37
1
0
12 Jul 2023
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz
  Equation using Compact Implicit Layers
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers
Bar Lerer
Ido Ben-Yair
Eran Treister
AI4CE
18
3
0
30 Jun 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
28
13
0
09 Jun 2023
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive
  testing
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing
L. Tang
3DPC
27
0
0
07 Jun 2023
ErfReLU: Adaptive Activation Function for Deep Neural Network
ErfReLU: Adaptive Activation Function for Deep Neural Network
Ashish Rajanand
Pradeep Singh
15
11
0
02 Jun 2023
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi
Aurélien Lucchi
M. Baity-Jesi
AI4CE
20
3
0
01 Jun 2023
GELU Activation Function in Deep Learning: A Comprehensive Mathematical
  Analysis and Performance
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance
Minhyeok Lee
13
29
0
20 May 2023
Learning Activation Functions for Sparse Neural Networks
Learning Activation Functions for Sparse Neural Networks
Mohammad Loni
Aditya Mohan
Mehdi Asadi
Marius Lindauer
21
4
0
18 May 2023
Orthogonal Transforms in Neural Networks Amount to Effective
  Regularization
Orthogonal Transforms in Neural Networks Amount to Effective Regularization
Krzysztof Zajkac
Wojciech Sopot
Paweł Wachel
18
0
0
10 May 2023
Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude
  Estimation Using 6DoF Inertial Measurement Units
Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units
Arman Asgharpoor Golroudbari
M. Sabour
14
13
0
13 Feb 2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Tim Whitaker
L. D. Whitley
CVBM
12
2
0
11 Feb 2023
Empirical study of the modulus as activation function in computer vision
  applications
Empirical study of the modulus as activation function in computer vision applications
Iván Vallés-Pérez
E. Soria-Olivas
M. Martínez-Sober
Antonio J. Serrano
Joan Vila-Francés
J. Gómez-Sanchís
11
15
0
15 Jan 2023
SignReLU neural network and its approximation ability
SignReLU neural network and its approximation ability
Jianfei Li
Han Feng
Ding-Xuan Zhou
17
3
0
19 Oct 2022
Transformers with Learnable Activation Functions
Transformers with Learnable Activation Functions
Haishuo Fang
Ji-Ung Lee
N. Moosavi
Iryna Gurevych
AI4CE
17
7
0
30 Aug 2022
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)
S. Kunwar
11
0
0
26 Aug 2022
Deep Analysis of Visual Product Reviews
Deep Analysis of Visual Product Reviews
Chandranath Adak
S. Chattopadhyay
Muhammad Saqib
9
2
0
19 Jul 2022
A New Multifractal-based Deep Learning Model for Text Mining
A New Multifractal-based Deep Learning Model for Text Mining
Zhenhua Wang
Ming Ren
Dong Gao
AI4CE
6
16
0
27 Nov 2021
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
59
274
0
15 Oct 2020
Dynamic ReLU
Dynamic ReLU
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
177
162
0
22 Mar 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
8
19
0
02 Feb 2020
Learning Neural Activations
Learning Neural Activations
F. Minhas
Amina Asif
19
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
83
183
0
12 Sep 2019
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation
  Function for Neural Networks
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
S. K. Roy
Suvojit Manna
S. Dubey
B. B. Chaudhuri
11
49
0
01 Jan 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
950
20,561
0
17 Apr 2017
Previous
12