Joanna Dipnall

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Single Instance

Robust Estimation

Relational Graph

Top Venues

Publications

Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs. CoRR (2024)
Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe
Navigating Conflicting Views: Harnessing Trust for Learning. CoRR (2024)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Multimodal Neural Processes for Uncertainty Estimation. CoRR (2023)
Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation. NeurIPS (2023)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture. NeurIPS (2022)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture. CoRR (2022)
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. EMNLP (1) (2020)
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. CoRR (2020)