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Found 6 papers, 1 papers with code
Feature-based Graph Attention Networks Improve Online Continual Learning
Online continual learning for image classification is crucial for models to adapt to new data while retaining knowledge of previously learned tasks.
On-Device LLMs for SMEs: Challenges and Opportunities
This paper presents a systematic review of the infrastructure requirements for deploying Large Language Models (LLMs) on-device within the context of small and medium-sized enterprises (SMEs), focusing on both hardware and software perspectives.
A Multimodal Vision Foundation Model for Clinical Dermatology
Diagnosing and treating skin diseases require advanced visual skills across domains and the ability to synthesize information from multiple imaging modalities.
Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing
In this paper, we propose NuNet, a transformer-based network designed for nutrition estimation that utilizes both RGB and depth information from food images.
ESRA: Explainable Scientific Research Assistant
We introduce Explainable Scientific Research Assistant (ESRA), a literature discovery platform that augments search results with relevant details and explanations, aiding users in understanding more about their queries and the returned papers beyond existing literature search systems.
Dependently Typed Knowledge Graphs
Reasoning over knowledge graphs is traditionally built upon a hierarchy of languages in the Semantic Web Stack.
