La dernière étude cosignée par le Dr. Raoult est disponible en prépublication sur medRxiv. De plus, les données, “constatées par huissier” (je ne sais pas ce que ça veut dire), sont disponible ! Nous n’aurons donc pas cette fois à deviner le contenu des cohortes et simuler des populations pour...
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Towards Efficient Labeling in Federated Learning
Medium post about our latest research in federated active learning
AI Takeover of Le Louvre
An Art Basel event
Sage en page organises a takeover at the Louvre. They propose to the visitors to explore alternate versions of famous paintings modified with AI. Here are my contributions.
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I Can’t Believe It’s Not Better — Active Learning Flavor
Medium post about our latest research in active learning strategy
Cardinal, A metrics-based Active Learning framework
PyData Global 2020 talk
Data labeling is a tedious yet necessary task to train Machine Learning models. This iterative process alternates data labeling and model training. Active Learning proposes to lower the cost of this process by using the already labeled data to select the new samples to send to the annotator.
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