2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning
Sean M. Hendryx, Dharma Raj KC, Bradley Walls +1
We describe federated reconnaissance, a class of learning problems in which distributed clients learn new concepts independently and communicate that knowledge efficiently. In part…
cs.LG2019
Meta-Learning Initializations for Image Segmentation
Sean M. Hendryx, Andrew B. Leach, Paul D. Hein +1
We extend first-order model agnostic meta-learning algorithms (including FOMAML and Reptile) to image segmentation, present a novel neural network architecture built for fast learn…