Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks

26 June 2018

Papers citing "Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks"

8 / 8 papers shown

Title
Semiring Activation in Neural Networks B. Smets Peter D. Donker Jim W. Portegies LLMSV 21 0 0 29 May 2024
Nonlinearity Enhanced Adaptive Activation Functions David Yevick 25 1 0 29 Mar 2024
Learning Specialized Activation Functions for Physics-informed Neural Networks Honghui Wang Lu Lu Shiji Song Gao Huang PINN AI4CE 16 12 0 08 Aug 2023
Bayesian optimization for sparse neural networks with trainable activation functions M. Fakhfakh Lotfi Chaari 20 2 0 10 Apr 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
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark S. Dubey S. Singh B. B. Chaudhuri 41 643 0 29 Sep 2021
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning Hock Hung Chieng Noorhaniza Wahid P. Ong 21 6 0 06 Nov 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 36 365 0 02 May 2020