Much remains to be understood, however, in statistical learning under distribution shifts. This paper focuses on a distribution shift setting where train and test distributions can be related by classes of (data) transformation maps.

These theories support making causal and moral judgments. When something bad happens, we naturally ask: who did what, and why?

The ocean is a crucial component of the Earth's system.

We mend this problem by adding an embedding to each digit that encodes its position relative to the start of the number.

Although freely accessible, it is provided in individual files for each year, and is difficult to combine in order to analyze spatial or temporal trends.

The negative prompt used is " unrealistic, bad anatomy, wrong anatomy, extra limb, missing limb,