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ICLR 2024(2024) (to look) Preview Preview abstract Predictive uncertainty-a model's self awareness with regards to its precision on an enter-is essential for both of those developing sturdy types by using training interventions and for check-time applications like selective classification. We propose a novel instance-conditioned reweighting method that captures predictive uncertainty utilizing an auxiliary network and unifies these prepare- and examination-time programs. The auxiliary network is educated using a meta-objective inside a bilevel optimization framework. A crucial contribution of our proposal may be the meta-objective of minimizing the dropout variance, an approximation of Bayesian Predictive uncertainty.
U.S. Decide Ralph G. Thompson granted a motion by plaintiff Robert Braver for any default judgment and everlasting injunction from him. The judgment includes a statutory damages award of about $10 million below Oklahoma law.[57]
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Number of item into the existence of these resources; it truly is their use in filtering the mail of people who will be not knowledgeable in their use that attracts hearth.[52]
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