Joanna Dipnall

According to our database, Joanna Dipnall authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Navigating Conflicting Views: Harnessing Trust for Learning.

Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe

CoRR, 2024

Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs.

Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du

CoRR, 2024

2023

Multimodal Neural Processes for Uncertainty Estimation.

Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du

CoRR, 2023

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation.

Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

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

Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020