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Found 3 papers, 1 papers with code
A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR
In this context, we show that there is no need for further pre-training if a domain-specific BERT backbone is used within the active learning pipeline.
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
We evaluate our method on liver tumor segmentation and achieve state-of-the-art performance, outperforming traditional fine-tuning with only 6% of tunable parameters, also achieving 94% of full-data performance by labeling only 5% of the data.
Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control
Hydrogen energy plays an important role in the transformation of low-carbon energy, and electric hydrogen coupling will become a typical energy scenario.
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