ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions

9 September 2021

Papers citing "ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions"

6 / 6 papers shown

Title
Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons Farhad Pourkamali-Anaraki 38 5 0 16 Sep 2024
Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance Youngmin Seo Jinha Kim Unsang Park 28 0 0 01 Jul 2024
ErfReLU: Adaptive Activation Function for Deep Neural Network Ashish Rajanand Pradeep Singh 15 11 0 02 Jun 2023
SMU: smooth activation function for deep networks using smoothing maximum technique Koushik Biswas Sandeep Kumar Shilpak Banerjee A. Pandey 30 32 0 08 Nov 2021
SAU: Smooth activation function using convolution with approximate identities Koushik Biswas Sandeep Kumar Shilpak Banerjee A. Pandey 21 6 0 27 Sep 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016