Abstract: It is a well-known fact that the performance of deep learning models deteriorates when they encounter a distribution shift at test time. Test-time adaptation (TTA) algorithms have been ...

Abstract: Large language models (LLMs) have emerged as a promising tool for detecting code vulnerabilities, potentially offering advantages over traditional rule-based methods. This paper proposes an ...

Raphael Gomes experiments with strange internet food hacks that claim to fix broken household objects. Culkin and Song mark nine years as Swift, Kelce cancel reception Oil prices face fresh wave of ...

OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...