2 papers
cs.LG2023
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah Helgesen, Michael Felsberg, Jan-Åke Larsson
The field of Quantum Machine Learning (QML) has emerged recently in the hopes of finding new machine learning protocols or exponential speedups for classical ones. Apart from probl…
cs.LG2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu +2
Long-tailed semi-supervised learning (LTSSL) represents a practical scenario for semi-supervised applications, challenged by skewed labeled distributions that bias classifiers. Thi…