Do not trust what you trust: Miscalibration in Semi-supervised Learning

1 code implementation • 22 Mar 2024 • Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

State-of-the-art semi-supervised learning (SSL) approaches rely on highly confident predictions to serve as pseudo-labels that guide the training on unlabeled samples.

Image Classification