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What is: Greedy Policy Search?

SourceGreedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Greedy Policy Search (GPS) is a simple algorithm that learns a policy for test-time data augmentation based on the predictive performance on a validation set. GPS starts with an empty policy and builds it in an iterative fashion. Each step selects a sub-policy that provides the largest improvement in calibrated log-likelihood of ensemble predictions and adds it to the current policy.