Tag: multitask learning

A new spatio-temporal graph network models players and the ball as a dynamic graph, detecting key match events and tactical ...

Japanese researchers trained a 3D Vision Transformer foundation model on postmortem CT scans of nearly 1,500 femora, achieving over 90 ...

Recurrent neural networks trained on demanding multitask curricula spontaneously develop modular, brain-like architectures, showing that computational demands rather than wiring ...

Researchers have developed an interpretable multitask deep learning framework, trained on density functional theory calculations, that simultaneously predicts how strongly ...

Researchers in China have developed a reliability-aware disentangled adaptive network that dynamically weighs the trustworthiness of language, facial, and acoustic ...