Recent years have witnessed an explosion in the development of novel
pre...
In recent years, concept-based approaches have emerged as some of the mo...
Deploying deep learning models in real-world certified systems requires ...
Contrastive learning is an efficient approach to self-supervised
represe...
We present an application of conformal prediction, a form of uncertainty...
Domain shifts in the training data are common in practical applications ...