9 citations · 16 across the 21 of their papers we have counts for
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cs.LG2023★ 2 cited
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains
Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi
Initialization of neural network weights plays a pivotal role in determining their performance. Feature Imitating Networks (FINs) offer a novel strategy by initializing weights to…
eess.IV2023
Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks
Shangyang Min, Hassan B. Ebadian, Tuka Alhanai +1
Feature-Imitating-Networks (FINs) are neural networks that are first trained to approximate closed-form statistical features (e.g. Entropy), and then embedded into other networks t…