Learning with reduced labeling standards, such as noisy label, partial label, and
supplementary unlabeled data, which we generically refer to as imprecise label, is a …

The last decade has witnessed an explosion of interest in Artificial Intelligence, not only
among researchers, but also in the public eye. This has led to machine learning (ML) …

Sounds are essential to our physical environment and play a critical role in allowing us to
interact with it effectively. Throughout our lives, we develop the ability to interpret and …

Novelty detection is crucial in various technological and scientific domains. Its importance
spans from ensuring the reliability of sensor networks to enhancing the adaptability of …

Weakly supervised learning (WSL) is a popular machine learning paradigm in recent years
that aims to learn a classifier with incomplete, imprecise, or inaccurate supervision. Existing …