Abstract: Domain generalization (DG) aims to solve the problem of significant performance degradation when target domain data collected from the Out-Of-Distribution (O.O.D). Previous efforts try to ...

Inductive reasoning is the process of observing patterns and making generalizations. It starts with specific observations and moves towards broader conclusions. For instance, if you observe that every ...

A screenshot of the article on Czech news server Prostějovský večerník [Prostějov Evening News] with the headline "Trial addresses passionate brawl among gypsies". The body of the article and the ...

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The delicate balance between discrimination and generalization of responses is crucial for survival in our ever-changing environment. In particular, it is important to understand how stimulus ...

Large language models (LLMs) appear to solve certain novel tasks with appropriately formatted prompts, which is an ability known as out-of-distribution generalization. However, the underlying ...

Humans and animals excel at generalizing from limited data, a capability yet to be fully replicated in artificial intelligence. This perspective investigates generalization in biological and ...

Forbes contributors publish independent expert analyses and insights. I cover the intersection of people, risk, leadership and performance. The return to offices is back in the news with real estate ...

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

Picture this: You attend a concert to see a band perform for the first time and notice that the audience is mostly female. Based on this observation, you draw the conclusion that only women listen to ...

Abstract: In practical applications, the generalization capability of face anti-spoofing (FAS) models on unseen domains is of paramount importance to adapt to diverse camera sensors, device drift, ...