LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks

1 January 2019

Papers citing "LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks"

7 / 7 papers shown

Title
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 16 19 0 22 Feb 2023
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 37 71 0 06 Sep 2022
Vision Transformer Hashing for Image Retrieval S. Dubey S. Singh Wei Chu ViT 38 49 0 26 Sep 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs S. Feizi AAML 32 45 0 15 Feb 2021
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network Divinah O. Nyasaka Jing Wang Haron C. Tinega 31 7 0 07 Feb 2020
diffGrad: An Optimization Method for Convolutional Neural Networks S. Dubey Soumendu Chakraborty Swalpa Kumar Roy Snehasis Mukherjee S. Singh B. B. Chaudhuri ODL 97 184 0 12 Sep 2019
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification Swalpa Kumar Roy G. Krishna S. Dubey B. B. Chaudhuri 32 1,096 0 18 Feb 2019