Abstract: Aspect-Based Multimodal Sentiment Analysis (ABMSA) aims to infer the users’ sentiment polarities over individual aspects using visual, textual, and acoustic signals. Although psychological ...

Abstract: Cooperative multiagent reinforcement learning (MARL) is a promising approach for complex collaborative tasks. However, practical deployment remains challenging due to ambiguous credit ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

Class-incremental learning (CIL) seeks to enable a model to sequentially learn new classes while retaining knowledge of previously learned ones. Balancing flexibility and stability remains a ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

This is the code repo for Task-Agnostic Guided Feature Expansion for Class-Incremental Learning (CVPR 2025). TL;DR: We propose TagFex framework to address feature collision in Class-Incremental ...

When I quit, I realized the app had become progressively worse the whole time I was forcing myself through it. I'm not alone. Plenty of people have noticed that Duolingo has become worse over time and ...

We invited teenagers to create an original five-minute podcast about almost anything. Listen to the winning entries selected from 1,400 submissions. By The Learning Network To participate, submit your ...

A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...

Robots are increasingly expected to operate beyond structured laboratories, where they must interpret incomplete sensory ...

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite ...