Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier

Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus +2

In real world scenarios, out-of-distribution (OOD) datasets may have a large distributional shift from training datasets. This phenomena generally occurs when a trained classifier…