ATRASS Seminar #5: An inductive modeling of distribution shifts enhances trustworthy ai
Автор: European Trustworthy AI Association
Загружено: 2025-06-26
Просмотров: 32
Описание:
Distribution shifts are complex in real-world scenarios. However, robust
methods often rely on structural assumptions that lack thorough empirical validation,
limiting their practical applicability. In order to support an empirically grounded
inductive approach to research, we will introduce a set of tools to empirical analyze the
model stability and the patterns of real-world distribution shifts. Empirical studies in real-
world healthcare, finance, and sociological applications highlight how the proposed
methods enhance the understanding of distribution shifts, facilitating reliable model
deployment and driving targeted improvements from both algorithmic and data-centric
perspectives.
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