Analysis of MTS reveals poor GSNR and uninformative features; larger batches and distribution-based features yield 5.49% and 2.89% gains on benchmarks.
arXiv preprint arXiv:2001.07384 , year=
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On the Difficulty of Learning a Meta-network for Training Data Selection
Analysis of MTS reveals poor GSNR and uninformative features; larger batches and distribution-based features yield 5.49% and 2.89% gains on benchmarks.