IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...

Psychology says people who always eat hot dogs on the Fourth of July aren't just having fun, they may be trying to relive their happy childhood memories

Psychology suggests that people who always eat hot dogs on the Fourth of July are often doing more than keeping a tradition alive. Familiar holiday foods can strengthen feelings of belonging, ...
Psychology TodayOpinion

Automating Away Entry-Level Learning

Observation is no substitute for participation. As automation replaces hands-on entry-level work, we limit learning and ...
IEEE

GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning

Abstract: The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves ...
Purdue University

Outcomes and Objectives

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...
GitHub

Nested Learning Reproduction

Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...