Reordering data samples reduces variance in stochastic domain discrepancy estimates, improving target domain accuracy on image classification benchmarks.
Deterministic Mini-batch Sequencing for Training Deep Neural Networks
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Order Matters: Improving Domain Adaptation by Reordering Data
Reordering data samples reduces variance in stochastic domain discrepancy estimates, improving target domain accuracy on image classification benchmarks.