Papers by Kyuheon Jung
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing methods to detect out-of-distribution (OOD) samples are overconfident for real-world language applications. |
| Approach: | They propose a method that constructs a surrogate OOD dataset by sequentially masking tokens related to ID classes. |
| Outcome: | The proposed method can train a rejection network with ID and diverse outlier samples but requires additional data collection overhead. |