ML models often exhibit unexpectedly poor behavior when they are deployed in
real-world domains. We identify underspecification as a key reason for these
failures. An ML pipeline is underspecified when it can return many predictors
with equivalently stron... (more…)
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In the context of science, the well-known adage "a picture is worth a
thousand words" might well be "a model is worth a thousand datasets."
Scientific models, such as Newtonian physics or biological gene regulatory
networks, are human-driven simplificatio... (more…)
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Contribute to datarevenue-berlin/OpenMLOps development by creating an account on GitHub. (more…)
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Neural network makes for smarter-looking avatars, not just smarter enemies... (more…)
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