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cs.LG2023★ 3 cited
Invariance Measures for Neural Networks
Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Cristina Lanzarini +1
Invariances in neural networks are useful and necessary for many tasks. However, the representation of the invariance of most neural network models has not been characterized. We p…
cs.LG2020★ 6 cited
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena +4
In this work, we propose MixMOOD - a systematic approach to mitigate effect of class distribution mismatch in semi-supervised deep learning (SSDL) with MixMatch. This work is divid…