2 papers
cs.CV2026
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
Miquel Martà i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We investigate the potential of invariant and equivariant semi-supervised learning for addressing the challenges of training multi-task models on partially labeled datasets with di…
cs.CV2026
Deep Probabilistic Supervision for Image Classification
Anton Adelöw, Matteo Gamba, Atsuto Maki
Supervised training of deep neural networks for classification typically relies on hard targets, which promote overconfidence and can limit calibration, generalization, and robustn…