MAE pre-training on synthetic ultrasound signals transfers to real measured signals and beats from-scratch and CNN baselines on time-of-flight classification, with the biggest gains in low-label regimes.
DNABERT: pre- trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,
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Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications
MAE pre-training on synthetic ultrasound signals transfers to real measured signals and beats from-scratch and CNN baselines on time-of-flight classification, with the biggest gains in low-label regimes.