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Found 2 papers, 1 papers with code
Adversarial Data Augmentation for Robust Speaker Verification
This adversarial learning empowers the network to generate speaker embeddings that can deceive the augmentation classifier, making the learned speaker embeddings more robust in the face of augmentation variations.
Dateformer: Time-modeling Transformer for Longer-term Series Forecasting
This, for fine-grained time series, leads to a bottleneck in information input and prediction output, which is mortal to long-term series forecasting.
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