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Found 3 papers, 3 papers with code
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection
This helps the model to learn a shared unique representation between normal training samples as much as possible, which improves the discernibility and detectability of mutated samples from the unmutated ones at the test time.
Neural Distributed Image Compression with Cross-Attention Feature Alignment
In the proposed method, the decoder employs a cross-attention module to align the feature maps obtained from the received latent representation of the input image and a latent representation of the side information.
Neural Distributed Image Compression using Common Information
The received latent representation and the locally generated common information are passed through a decoder network to obtain an enhanced reconstruction of the input image.
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