An Implementation of DataRater: Meta-Learned Dataset Curation
An Implementation of DataRater: Meta-Learned Dataset Curation
DeepMind recently introduced DataRater, a meta-learning approach that rates the value of training data points using meta-gradients. It promises more efficient training by filtering/re-weighting low-value data instead of relying on heuristics. Sharing an implementation of the DataRater where I tried to reproduce the results on MNIST!
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