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Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
Motivated by this, a significant line of work has formalized settings where an action's loss is a function of the number of times that action was recently played in the prior $m$ timesteps, where $m$ corresponds to a bound on human memory capacity.
How Useful are Gradients for OOD Detection Really?
One critical challenge in deploying highly performant machine learning models in real-life applications is out of distribution (OOD) detection.
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