Papers with detection settings
On Prefix-tuning for Lightweight Out-of-distribution Detection (2023.acl-long)
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| Challenge: | Out-of-distribution (OOD) detection is a fundamental task vexing real-world applications . fine-tuning based methods require storing fine- tuned models for each scenario . |
| Approach: | They propose an unsupervised prefix-tuning based OOD detection framework called PTO . they propose to take advantage of optional training data labels and targeted OOD data . |
| Outcome: | The proposed framework performs better than existing methods under a wide range of metrics, detection settings, and OOD types. |