Oct 21, 2021 · We introduce a framework that enables fine-grained analysis of various distribution shifts. We provide a holistic analysis of current state-of-the-art methods.
Jan 28, 2022 · This paper summarizes all distribution shifts into three prototypes: spurious correlation, low-data drift, and unseen data shift, together with ...
Using this framework, we evaluate models across three distribution shifts: spurious correlation, low- data drift, and unseen data shift (illustrated in figure 1) ...
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Oct 21, 2021 · Through extensive experiments, we show that existing OoD algorithms that outperform empirical risk minimization on one distribution shift ...
This work provides a holistic analysis of current state-of-the-art methods by evaluating 19 distinct methods grouped into five categories across both ...
Our study demonstrates that it is possible to design distribution shift experiments within the MSMARCO collection.
Apr 26, 2022 · A DeepMind research team presents a framework for the fine-grained analysis of various distribution shifts and provides insights on when and why we can expect ...
This study demonstrates that it is possible to design distribution shift experiments within the MSMARCO collection, and that the query subsets selected ...
This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).
TL;DR: In this paper, a distribution shift benchmark for monocular depth estimation is proposed, which decomposes the wider distribution shift of uncontrolled ...