IEEE

Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning

Abstract: Multi-task prompt learning has emerged as a promising technique for fine-tuning pre-trained Vision-Language Models (VLMs) to various downstream tasks. However, existing methods ignore ...
IEEE

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...
Frontiers

Are S.M.A.R.T goals really smart? The psychological effects of goal-setting in a learning task

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
SciELO

Practical approaches to the tasks of preserving autonomy and respecting vulnerability among critically ill adult patients: a narrative review

Respect for autonomy and human vulnerability are bioethical principles that are frequently involved in decision-making dilemmas in the context of critical care. Multiple challenges are involved in the ...