Search Results for author:
Found 3 papers, 0 papers with code
Enhancing Neural Training via a Correlated Dynamics Model
Our modeling can improve training efficiency and lower communication overhead, as shown by our preliminary experiments in the context of federated learning.
Additive Class Distinction Maps using Branched-GANs
We present a new model, training procedure and architecture to create precise maps of distinction between two classes of images.
Analysis of Branch Specialization and its Application in Image Decomposition
In this work, we present a methodological analysis of Branch Specialization.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
