Tag: multi-task learning

FewShot AdaptiveMLC raised macro-F1 by 0.072 on a multi-label Bangla hate speech dataset by fine-tuning task-specific heads for minority labels ...

A single-university study found that jointly predicting semester course sets and grades reduced a Transformer’s mean absolute grade-prediction error by ...

UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated ...

Researchers at the Vellore Institute of Technology developed three hybrid deep learning models combining convolutional networks, transformers, and clinical metadata ...

A multi-task deep learning system reads infant hip ultrasounds, segments seven anatomical structures, localizes six landmarks, and measures Graf angles ...

Researchers have developed and validated an AI-driven adaptive learning system that predicts student engagement, forecasts academic achievement, and generates explainable ...

Researchers built ViTDrone, a Vision Transformer framework that simultaneously steers a drone through corridors and detects collisions while using Grad-CAM ...

A new Genome Biology study introduces Pep2Net, a platform combining a knowledge base built from 52 peptide databases with a ...

Researchers have built a holographic neural network that uses a single spatial light modulator and one beam of light to ...

A new hybrid deep learning architecture combining a fine-tuned U-Net with a time-weighted multi-task bi-directional LSTM significantly improves real-time detection ...