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Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
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.
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Long-tailed semi-supervised learning (LTSSL) represents a practical scenario for semi-supervised applications, challenged by skewed labeled distributions that bias classifiers.
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