TanhSoft - a family of activation functions combining Tanh and Softplus. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2020)

EIS - a family of activation functions combining Exponential, ISRU, and Softplus. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2020)

EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (ICANN (2), 2021)

TanhSoft - Dynamic Trainable Activation Functions for Faster Learning and Better Performance. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (IEEE Access, 2021)

Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks. - Koushik Biswas; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2021)

SMU: smooth activation function for deep networks using smoothing maximum technique. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2021)

ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (AAAI, 2022)

Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CVPR, 2022)

SAU: Smooth Activation Function Using Convolution with Approximate Identities. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (ECCV (21), 2022)