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SMU: smooth activation function for deep networks using smoothing maximum technique

SMU: smooth activation function for deep networks using smoothing maximum technique

Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
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Papers citing "SMU: smooth activation function for deep networks using smoothing maximum technique"

4 / 4 papers shown
Title
Associative memory and dead neurons
Associative memory and dead neurons
V. Fanaskov
Ivan Oseledets
49
1
0
02 Oct 2024
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
Yan Sun
Li Shen
Hao Sun
Liang Ding
Dacheng Tao
FedML
24
17
0
30 Jul 2023
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control
Piyush Gupta
David Isele
Donggun Lee
S. Bae
39
19
0
13 Jan 2023
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
51
13
0
09 Sep 2021