Parameter-efficient fine-tuning of PhaseNO with 200 microseismic examples yields up to 30% better phase picking performance than the original model on independent test datasets.
Jour- nal of Machine Learning Research24(89), 1–97 (2023)
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Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator
Parameter-efficient fine-tuning of PhaseNO with 200 microseismic examples yields up to 30% better phase picking performance than the original model on independent test datasets.