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Xenovert: Adaptive Distribution Shift

An adaptive algorithm inspired by biological flexibility for online adjustment to distribution shift. Xenovert grows a perfect binary tree that maps a source distribution onto its shifted target while preserving the relationships that downstream operations depend on, so a model trained once keeps working as its inputs drift, without labels and without retraining.

Xenovert tracking a shifting distribution

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Location International Research Center for Neurointelligence (IRCN)
The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 113-0033
Email rogerzhangheng [at] gmail [dot] com