2 papers
cs.LG2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Yishay Mansour, Mehryar Mohri, Jae Ro +2
We present a theoretical and algorithmic study of the multiple-source domain adaptation problem in the common scenario where the learner has access only to a limited amount of labe…
cs.LG2016
Node-By-Node Greedy Deep Learning for Interpretable Features
Ke Wu, Malik Magdon-Ismail
Multilayer networks have seen a resurgence under the umbrella of deep learning. Current deep learning algorithms train the layers of the network sequentially, improving algorithmic…