AMTIDIN applies adversarial training and adaptive task coefficients in a multi-task setup to jointly solve interference detection, modulation identification, and interference identification, outperforming baselines especially at low SNR and with limited data.
A transformer-based contrastive semi-supervised learning framework for automatic modulation recognition
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Joint Interference Detection and Identification via Adversarial Multi-task Learning
AMTIDIN applies adversarial training and adaptive task coefficients in a multi-task setup to jointly solve interference detection, modulation identification, and interference identification, outperforming baselines especially at low SNR and with limited data.