A simple fix to mahalanobis distance for improving near-ood detection

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[PDF] arxiv.org

Training a helpful and harmless assistant with reinforcement learning from human feedback

Y Bai, A Jones, K Ndousse, A Askell, A Chen… - ar** representations for detecting out-of-distribution objects
X Du, G Gozum, Y Ming, Y Li - Advances in Neural …, 2022 - proceedings.neurips.cc
Detecting out-of-distribution (OOD) objects is indispensable for safely deploying object
detectors in the wild. Although distance-based OOD detection methods have demonstrated …
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[PDF] openreview.net

Out-of-distribution detection and selective generation for conditional language models

J Ren, J Luo, Y Zhao, K Krishna, M Saleh… - The Eleventh …, 2022 - openreview.net
Machine learning algorithms typically assume independent and identically distributed
samples in training and at test time (IID). Much work has shown that high-performing ML …
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