ARC Future Fellowships - Grant ID: FT200100421

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT200100421

Funding Status
Active

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Funded Activity Summary

Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory and algorithms that allow physical and mathematical models to be embedded within a deep learning framework, providing performance guarantees and interpretability. This would likely benefit machine learning based products that can understand the world and interact with humans naturally through vision and language.

Funded Activity Details

Start Date: 01-04-2021

End Date: 31-03-2025

Funding Scheme: ARC Future Fellowships

Funding Amount: $1,048,712.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing | Natural Language Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Computer Vision | Expanding Knowledge in the Information and Computing Sciences | Natural Language Processing | Pattern Recognition and Data Mining

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