2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Motivated by the well-calibrated nature of zero-shot predictions, CoTS is proposed, a simple yet effective post-hoc calibration method that preserves accuracy and enhances both accuracy and calibration simultaneously.
This work proposes Cross-Augmentation Similarity (CAS), a simple baseline that performs adaptation only when predictions across augmented views exhibit low similarity, which not only preserves but in some cases improves overall accuracy, even when skipping nearly 85% of the adaptation process.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
