AI giving out mental health advice can be impacted by non-related fine-tuning in other narrow areas. A curious and bad ...

We introduce IGOR, a framework that learns latent actions from Internet-scale videos that enable cross-embodiment and cross-task generalization. IGOR learns a unified latent action space for humans ...

Machine learning models often perform impressively in the lab but struggle in the real world. The main culprit? Domain shift: the difference between the data a model was trained on and the data it ...

Abstract: Rule learning is a data analysis task consisting of extracting rules to generalize examples. For a data scientist, some generalizations called here admissible generalizations, make more ...

The publics surveyed are largely skeptical that democracy in the U.S., at least in its current form, is a good example for other countries to follow. A median of four-in-ten across the 34 nations ...

This is the first attempt to propose a Generalization Assessment Index for super-resolution and restoration networks, namely SRGA. SRGA exploits the statistical characteristics of the internal ...

This paper revisits the robust overfitting phenomenon of adversarial training. Observing that models with better robust generalization performance are less certain in predicting adversarially ...

AI is rapidly transforming the world of business as it becomes increasingly woven into the fabric of organizations and the day-to-day lives of customers. However the speed of this transformation ...

Many processed foods have nutritional value and are safe to eat on a regular basis, unlike ultraprocessed foods. A dietitian shares how to tell the difference. Much of the food we eat has been ...