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Found 3 papers, 2 papers with code
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
With the development of deep learning, medical image classification has been significantly improved.
DeceFL: A Principled Decentralized Federated Learning Framework
Although there has been a joint effort in tackling such a critical issue by proposing privacy-preserving machine learning frameworks, such as federated learning, most state-of-the-art frameworks are built still in a centralized way, in which a central client is needed for collecting and distributing model information (instead of data itself) from every other client, leading to high communication pressure and high vulnerability when there exists a failure at or attack on the central client.
Feature-Independent Action Spotting Without Human Localization, Segmentation or Frame-wise Tracking
To extract their internal dynamics, we devised a novel Two-Phase Decomposition (TP-Decomp) of a tensor that generates very compact and discriminative representations that are robust to even heavily perturbed data.
