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Recommender systems need to optimize a delicate balance between exploring new recommendations In this work, we present Masksembles, a novel method for generating Speaker: Florian Wilhelm Track:PyData There is a strong need in many In this video in our Ecological Forecasting lecture series Shannon LaDeau introduces the role of Bayesian statistical inference in ... Machine/Deep learning models have been revolutionary in the last decade across a range of fields. However, sometimes we ... Educational institutions are currently facing a massive "reality gap". While students

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Beyond the point estimate: Uncertainty in neural networks for recommendations-Dr Stavros Theodoraki
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Beyond the point estimate: Uncertainty in neural networks for recommendations-Dr Stavros Theodoraki

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Recommender systems need to optimize a delicate balance between exploring new recommendations

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[CVPR 2021] Masksembles for Uncertainty Estimation
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[CVPR 2021] Masksembles for Uncertainty Estimation

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Last Updated: May 24, 2026

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