23 citations · 42 across the 13 of their papers we have counts for
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cs.LG2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
Michael Kirchhof, Karsten Roth, Zeynep Akata +1
Proxy-based Deep Metric Learning (DML) learns deep representations by embedding images close to their class representatives (proxies), commonly with respect to the angle between th…
stat.ML2022★ 1 cited
When are Post-hoc Conceptual Explanations Identifiable?
Tobias Leemann, Michael Kirchhof, Yao Rong +2
Interest in understanding and factorizing learned embedding spaces through conceptual explanations is steadily growing. When no human concept labels are available, concept discover…