Discovery Projects - Grant ID: DP220102121

Funding Activity

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Funded Activity Summary

Transfer Learning Handling Causally Bilateral Shift . Transfer learning is a core step for machines to transfer knowledge. This Project aims to equip machines with the ability to harness complex causal structures for transfer learning. The Project expects to produce the next great step for artificial intelligence – the potential to explore and exploit complex causal information to better understand, reason, and trust transfer learning. Expected outcomes of this Project include theoretical foundations for transfer learning utilising causality and the next generation of intelligent systems to accommodate data with complex causal structures. This should benefit science, society, and the economy nationally and internationally through the applications to analysing their corresponding complex data.

Funded Activity Details

Start Date: 01-08-2022

End Date: 24-03-2026

Funding Scheme: Discovery Projects

Funding Amount: $405,000.00

Funder: Australian Research Council