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e0308d73972d8dd5e2dd27853106386e-Paper.pdf
Neural Information Processing Systems
Although deep learning programs havedemonstrated strong performance on novel applications, they sacrifice many of the functionalities of traditional software programs.
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NearlyOptimalBest-of-Both-WorldsAlgorithmsfor OnlineLearningwithFeedbackGraphs
Neural Information Processing Systems
This study considers online learning with general directed feedback graphs.
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NearlyOptimalBest-of-Both-WorldsAlgorithmsfor OnlineLearningwithFeedbackGraphs
Neural Information Processing Systems
This study considers online learning with general directed feedback graphs.
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Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran, Mike Dusenberry, Mark van der Wilk, Danijar Hafner
Neural Information Processing Systems
We describe Bayesian Layers, a module designed for fast experimentation with neural network uncertainty. It extends neural network libraries with drop-in replacementsforcommonlayers.
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