by Anja Glusic | Dec 9, 2025 | AI@JSI Seminar Upcoming
Cross-modal knowledge distillation (CMKD) refers to the scenario in which a learning framework must handle training and test data that exhibit a modality mismatch, more precisely, training and test data do not cover the same set of data modalities. Traditional...
by Anja Glusic | May 22, 2025 | AI@JSI Seminar Upcoming
I will discuss reliability of Machine Learning (ML) algorithms, from the perspective of adversarial learning and its implications in terms of model quality and robustness given new data. The talk will highlight how adversarial learning can be used as a valuable tool...
