Making Meta-learning Generalised

使元学习变得普遍化

• 批准号: DP220101784
• 负责人: Prof Lei Wang
• 金额: $ 32.37万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101784
• 关键词: Making; Meta; learning; Generalised

This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.

该项目旨在开发新的机器学习技术，称为广义元学习，使机器更好地利用过去的经验来解决新的任务，数据很少。它希望减少当前机器学习对标记数据的不必要依赖，并显着扩展其应用范围。该项目的预期成果包括关于元学习的新理论成果和一套创新算法，这些算法可以支持构建下一代计算机视觉系统，以便在开放和动态环境中工作。通过这些先进的智能系统的应用，应该能够为澳大利亚的科学、社会和经济带来实实在在的效益。