Search Results for author:
Found 2 papers, 1 papers with code
Asymmetric Momentum: A Rethinking of Gradient Descent
It not only can accelerates slow-changing parameters for sparse gradients, similar to adaptive optimizers, but also can choose to accelerates frequently-changing parameters for non-sparse gradients, thus being adaptable to all types of datasets.
Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity
Decoding neurons to extract information from transmission and employ them into other use is the goal of neuroscientists' study.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
