#transfer-learning

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fromHackernoon
4 weeks ago

More Than a Feeling: Visualizing Why Filter Atoms Outsmart LoRA in Fine-Tuning | HackerNoon

VTAB-1k is a challenging dataset for evaluating parameter-efficient tuning methods in few-shot knowledge transfer.
Online learning
fromHackernoon
1 month ago

Few-Shot vs. One-Shot vs. Zero-Shot Learning | HackerNoon

Few-shot learning optimizes machine learning by reducing the need for extensive training data, particularly beneficial in remote sensing applications.
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