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"

50 / 94 papers shown
Title
An AI-driven framework for the prediction of personalised health response to air pollution
An AI-driven framework for the prediction of personalised health response to air pollution
Nazanin Zounemat Kermani
Sadjad Naderi
Claire H. Dilliway
C. Heaney
Shrreya Behll
...
Marc Chadeau-Hyam
Fangxin Fang
Ian M. Adcock
Kian Fan Chung
Christopher C. Pain
20
0
0
15 May 2025
Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks
Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks
Feilong Jiang
Xiaonan Hou
Jianqiao Ye
Min Xia
OOD
PINN
42
0
0
09 May 2025
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
34
0
0
05 May 2025
Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting
Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting
Simon Hirsch
42
0
0
03 Apr 2025
Retrospective: A CORDIC Based Configurable Activation Function for NN Applications
Retrospective: A CORDIC Based Configurable Activation Function for NN Applications
Omkar Kokane
Gopal Raut
Salim Ullah
Mukul Lokhande
Adam Teman
Akash Kumar
Santosh Kumar Vishvakarma
55
0
0
18 Mar 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
Damien Teney
Liangze Jiang
Florin Gogianu
Ehsan Abbasnejad
160
0
0
13 Mar 2025
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
Yiheng Yang
Yujie Wang
Chi Ma
Lei Yu
Emmanuele Chersoni
Chu-Ren Huang
76
0
0
26 Feb 2025
Quadrotor Neural Dead Reckoning in Periodic Trajectories
Quadrotor Neural Dead Reckoning in Periodic Trajectories
Shira Massas
Itzik Klein
77
0
0
25 Feb 2025
The Curious Case of Arbitrariness in Machine Learning
Prakhar Ganesh
Afaf Taik
G. Farnadi
59
2
0
28 Jan 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
50
2
0
15 Jan 2025
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI
  Workloads
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads
Mukul Lokhande
Gopal Raut
Santosh Kumar Vishvakarma
70
1
0
16 Dec 2024
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind
  Forecasting
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind Forecasting
Matthew Bonas
Paolo Giani
Paola Crippa
Stefano Castruccio
67
0
0
13 Dec 2024
Quantum Pointwise Convolution: A Flexible and Scalable Approach for
  Neural Network Enhancement
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
An Ning
Tai-Yue Li
Nan-Yow Chen
3DPC
61
0
0
02 Dec 2024
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image
  Synthesis
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
Boming Miao
C. Li
X. U. Wang
Andi Zhang
Rui Sun
Zizhe Wang
Yao Zhu
DiffM
76
0
0
25 Nov 2024
User-Aware Multilingual Abusive Content Detection in Social Media
User-Aware Multilingual Abusive Content Detection in Social Media
Mohammad Zia Ur Rehman
Somya Mehta
Kuldeep Singh
Kunal Kaushik
Nagendra Kumar
23
14
0
26 Oct 2024
Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via
  Modern Hopfield Network
Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network
Qingchuan Ma
Shiao Wang
Tong Zheng
Xiaodong Dai
Y. Wang
Qingquan Yang
Xiao Wang
21
1
0
11 Oct 2024
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using
  Kernel PCA
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA
Sachin Karmani
Thanushon Sivakaran
Gaurav Prasad
Mehmet Ali
Wenbo Yang
Sheyang Tang
FAtt
16
3
0
30 Sep 2024
Zorro: A Flexible and Differentiable Parametric Family of Activation
  Functions That Extends ReLU and GELU
Zorro: A Flexible and Differentiable Parametric Family of Activation Functions That Extends ReLU and GELU
Matias Roodschild
Jorge Gotay-Sardiñas
V. Jimenez
A. Will
20
0
0
28 Sep 2024
Cauchy activation function and XNet
Cauchy activation function and XNet
Xin Li
Zhihong Xia
Hongkun Zhang
34
4
0
28 Sep 2024
SLIDE: A machine-learning based method for forced dynamic response
  estimation of multibody systems
SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems
Peter Manzl
Alexander Humer
Qasim Khadim
Johannes Gerstmayr
28
1
0
26 Sep 2024
Adaptive Compensation for Robotic Joint Failures Using Partially
  Observable Reinforcement Learning
Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning
Tan-Hanh Pham
Godwyll Aikins
Tri Truong
Kim-Doang Nguyen
29
4
0
22 Sep 2024
Hard-Label Cryptanalytic Extraction of Neural Network Models
Hard-Label Cryptanalytic Extraction of Neural Network Models
Yi Chen
Xiaoyang Dong
Jian Guo
Yantian Shen
Anyu Wang
Xiaoyun Wang
AAML
MIACV
MLAU
35
1
0
18 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
35
5
0
16 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical
  Relationships Between Features
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features
Thomas Schnake
Farnoush Rezaei Jafaria
Jonas Lederer
Ping Xiong
Shinichi Nakajima
Stefan Gugler
G. Montavon
Klaus-Robert Müller
40
3
0
30 Aug 2024
Activation function optimization method: Learnable series linear units
  (LSLUs)
Activation function optimization method: Learnable series linear units (LSLUs)
Chuan Feng
Xi Lin
Shiping Zhu
Hongkang Shi
Maojie Tang
Hua Huang
27
0
0
28 Aug 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
26
2
0
23 Aug 2024
DSReLU: A Novel Dynamic Slope Function for Superior Model Training
DSReLU: A Novel Dynamic Slope Function for Superior Model Training
Archisman Chakraborti
B. B. Chaudhuri
17
0
0
17 Aug 2024
Activations Through Extensions: A Framework To Boost Performance Of
  Neural Networks
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
Chandramouli Kamanchi
Sumanta Mukherjee
K. Sampath
Pankaj Dayama
Arindam Jati
Vijay Ekambaram
Dzung Phan
25
0
0
07 Aug 2024
Deep Learning in Medical Image Classification from MRI-based Brain Tumor
  Images
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images
Xiaoyi Liu
Zhuoyue Wang
32
17
0
01 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in
  deep learning
What comes after transformers? -- A selective survey connecting ideas in deep learning
Johannes Schneider
AI4CE
35
2
0
01 Aug 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
Shuyang Cheng
Guangyu Shen
Kaiyuan Zhang
Guanhong Tao
Shengwei An
Hanxi Guo
Shiqing Ma
Xiangyu Zhang
AAML
25
0
0
16 Jul 2024
SwishReLU: A Unified Approach to Activation Functions for Enhanced Deep
  Neural Networks Performance
SwishReLU: A Unified Approach to Activation Functions for Enhanced Deep Neural Networks Performance
Jamshaid Ul Rahman
Rubiqa Zulfiqar
Asad Khan
Nimra
23
4
0
11 Jul 2024
Trainable Highly-expressive Activation Functions
Trainable Highly-expressive Activation Functions
Irit Chelly
Shahaf E. Finder
Shira Ifergane
O. Freifeld
29
4
0
10 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Krishna Sri Ipsit Mantri
Xinzhi Wang
Carola-Bibiane Schönlieb
Bruno Ribeiro
Beatrice Bevilacqua
Moshe Eliasof
GNN
49
1
0
02 Jul 2024
RepAct: The Re-parameterizable Adaptive Activation Function
RepAct: The Re-parameterizable Adaptive Activation Function
Xian Wu
Qingchuan Tao
Shuang Wang
34
0
0
28 Jun 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
Improving Quaternion Neural Networks with Quaternionic Activation
  Functions
Improving Quaternion Neural Networks with Quaternionic Activation Functions
Johannes Pöppelbaum
Andreas Schwung
26
1
0
24 Jun 2024
BrowNNe: Brownian Nonlocal Neurons & Activation Functions
BrowNNe: Brownian Nonlocal Neurons & Activation Functions
Sriram Nagaraj
Truman Hickok
23
0
0
21 Jun 2024
Development of a Dual-Input Neural Model for Detecting AI-Generated
  Imagery
Development of a Dual-Input Neural Model for Detecting AI-Generated Imagery
Jonathan Gallagher
William Pugsley
32
0
0
19 Jun 2024
The Cost of Arbitrariness for Individuals: Examining the Legal and
  Technical Challenges of Model Multiplicity
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
Prakhar Ganesh
Ihsan Ibrahim Daldaban
Ignacio Cofone
G. Farnadi
54
2
0
28 May 2024
Improving the Explain-Any-Concept by Introducing Nonlinearity to the
  Trainable Surrogate Model
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model
Mounes Zaval
Sedat Ozer
LRM
20
0
0
20 May 2024
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient
  Architecture for Nonlinear Function Approximation
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation
SS Sidharth
Keerthana AR
R. Gokul
Anas KP
56
74
0
12 May 2024
Your Network May Need to Be Rewritten: Network Adversarial Based on
  High-Dimensional Function Graph Decomposition
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition
Xiaoyan Su
Yinghao Zhu
Run Li
AAML
29
0
0
04 May 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
34
9
0
26 Apr 2024
Spatially Optimized Compact Deep Metric Learning Model for Similarity
  Search
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
Md. Farhadul Islam
Md. Tanzim Reza
Meem Arafat Manab
Mohammad Rakibul Hasan Mahin
Sarah Zabeen
Jannatun Noor
30
0
0
09 Apr 2024
Runtime Monitoring and Fault Detection for Neural Network-Controlled
  Systems
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
Jianglin Lan
Siyuan Zhan
Ronald J. Patton
Xianxian Zhao
16
1
0
24 Mar 2024
Image Classification with Rotation-Invariant Variational Quantum
  Circuits
Image Classification with Rotation-Invariant Variational Quantum Circuits
Paul San Sebastian
Mikel Canizo
Román Orús
32
4
0
22 Mar 2024
Bridging scales in multiscale bubble growth dynamics with correlated
  fluctuations using neural operator learning
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning
Minglei Lu
Chensen Lin
Martian Maxey
George Karniadakis
Zhen Li
AI4CE
33
1
0
20 Mar 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
94
18
0
04 Mar 2024
Exploring the Relationship: Transformative Adaptive Activation Functions
  in Comparison to Other Activation Functions
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions
Vladimír Kunc
12
1
0
14 Feb 2024
12
Next