Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture

no code implementations • 6 Oct 2022 • Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du

Uncertainty estimation is essential to make neural networks trustworthy in real-world applications.

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs

1 code implementation • EMNLP 2020 • Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall

Few/Zero-shot learning is a big challenge of many classifications tasks, where a classifier is required to recognise instances of classes that have very few or even no training samples.

Document Classification General Classification +3