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Found 2 papers, 1 papers with code
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
In this extended abstract, we propose a new technique for query scheduling with the explicit goal of reducing disk reads and thus implicitly increasing query performance.
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Machine learning models are known to perpetuate and even amplify the biases present in the data.
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