https://www.kdnuggets.com/2022/05/weak-supervision-modeling-explained.html Weak Supervision Modeling, ExplainedBy Frederic Sala, Computer Sciences Department at the University of Winsconsin-MadisonMay 27, 2022 “Weak supervision is a way to obtain labels for training data points for
What I Read: Deploying Deep Learning
https://thegradient.pub/lessons-from-deploying-deep-learning-to-production/ Lessons From Deploying Deep Learning To ProductionPeter Gao16.May.2022 “I used to think that machine learning was about the models. Actually, machine learning in production is about pipelines.”
What I Read: Beyond Message Passing, Graph Neural Networks
https://thegradient.pub/graph-neural-networks-beyond-message-passing-and-weisfeiler-lehman/ Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural NetworksMichael Bronstein07.May.2022 “…the “node and edge-centric” mindset of current graph deep learning schemes imposes strong limitations… we propose physics-inspired “continuous”