101 citations · 389 across the 29 of their papers we have counts for
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cs.LG2018★ 29 cited
Techniques for Interpretable Machine Learning
Mengnan Du, Ninghao Liu, Xia Hu
Interpretable machine learning tackles the important problem that humans cannot understand the behaviors of complex machine learning models and how these models arrive at a particu…
cs.LG2018
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds
Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
We present a novel framework for domain adaptation, whereby both geometric and statistical differences between a labeled source domain and unlabeled target domain can be integrated…