Uncertainty in Model-Agnostic Meta-Learning using Variational Inference — mentioned by Datenstrom

Wed, 01 Sep 2021 13:56:05 GMT

Hey HN, We’re Mike, Mark, Patrick, and Derek of Emerald AI (emerald-ai.info), and we’re building a platform to clean, balance, and annotate data for rapidly deploying Computer Vision (CV) models. Unlike other data platforms that support vision data types, we do not assume that your data is ready for labeling. We provide tools to analyze, sort, arrange, and visualize your raw data, downselect to the most beneficial, and search for more underrepresented attributes and classes. We use a combination of active, bayesian, and meta-learning to make this possible with very little labeled data. We’ve…

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Uncertainty in Model-Agnostic Meta-Learning using Variational Inference · HackerPapers discussions

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference — mentioned by Datenstrom