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Found 2 papers, 1 papers with code
Training all-mechanical neural networks for task learning through in situ backpropagation
Recent advances unveiled physical neural networks as promising machine learning platforms, offering faster and more energy-efficient information processing.
Source-Free Object Detection by Learning To Overlook Domain Style
This approach suffers from both unsatisfactory accuracy of pseudo labels due to the presence of domain shift and limited use of target domain training data.
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