Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond

D Kollias, V Sharmanska, S Zafeiriou - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Abstract Multi-Task Learning (MTL) is a framework, where multiple related tasks are learned
jointly and benefit from a shared representation space, or parameter transfer. To provide …
被引用次数：15 相关文章

Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond

D Kollias, V Sharmanska, S Zafeiriou - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
Abstract Multi-Task Learning (MTL) is a framework, where multiple related tasks are learned
jointly and benefit from a shared representation space, or parameter transfer. To provide …

[引用][C] Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond

D Kollias, V Sharmanska, S Zafeiriou - 2024 - qmro.qmul.ac.uk
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on
Faces & Beyond Toggle navigation Login Toggle navigation Distribution Matching for …

Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond

D Kollias, V Sharmanska, S Zafeiriou - arXiv preprint arXiv:2401.01219, 2024 - arxiv.org
Multi-Task Learning (MTL) is a framework, where multiple related tasks are learned jointly
and benefit from a shared representation space, or parameter transfer. To provide sufficient …