17 citations · 18 across the 8 of their papers we have counts for
3 papers · 1 filter
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Christian S. Perone, Pedro Ballester, Rodrigo C. Barros +1
Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks. Those mode…
Deep semi-supervised segmentation with weight-averaged consistency targets
Christian S. Perone, Julien Cohen-Adad
Recently proposed techniques for semi-supervised learning such as Temporal Ensembling and Mean Teacher have achieved state-of-the-art results in many important classification bench…
Evaluation of sentence embeddings in downstream and linguistic probing tasks
Christian S. Perone, Roberto Silveira, Thomas S. Paula
Despite the fast developmental pace of new sentence embedding methods, it is still challenging to find comprehensive evaluations of these different techniques. In the past years, w…