10 citations · 15 across the 7 of their papers we have counts for
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cs.LG2024
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana +3
Neural growth is the process of growing a small neural network to a large network and has been utilized to accelerate the training of deep neural networks. One crucial aspect of ne…
cs.LG2022★ 10 cited
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
N. Ranasinghe, A. Ramanan, S. Fernando +6
Artificial Intelligence (AI) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as AI is used increasingly in real world…