Tag: active learning

AI Machine Learning & Data Science Research

70-Page Paper From Yoshua Bengio Team: GFlowNet Foundations

In the new paper GFlowNet Foundations, a research team from Mila, University of Montreal, McGill University, Stanford University, CIFAR and Microsoft Azure AI builds upon GFlowNets, providing an in-depth formal foundation and expansion of the set of theoretical results for a broad range of scenarios, especially active learning.