no code implementations • 29 Jun 2024 • Myong Chol Jung, Julien Monteil, Philip Schulz, Volodymyr Vaskovych
We present the history-aware transformer (HAT), a transformer-based model that uses shoppers' purchase history to personalise outfit predictions.
no code implementations • 3 Jun 2024 • Jueqing Lu, Lan Du, Wray Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe
Resolving conflicts is essential to make the decisions of multi-view classification more reliable.
no code implementations • 25 May 2024 • Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
In this study, we investigate the near OOD detection capabilities of prompt learning models and observe that commonly used OOD scores have limited performance in near OOD detection.
1 code implementation • 12 Apr 2024 • Tianyu Zhu, Myong Chol Jung, Jesse Clark
Contrastive learning has gained widespread adoption for retrieval tasks due to its minimal requirement for manual annotations.
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.