Joint Interference Detection and Identification via Adversarial Multi-task Learning

arXiv:2604.08607 · cs.LG, cs.AI, cs.CR, cs.IT, math.IT · Submitted 2026-04-08 · Read on arXiv

cs.LG, cs.AI, cs.CR, cs.IT, math.IT

Submitted: 2026-04-08

Updated: 2026-09-23

Terminology

• Accuracy — 48× in this paper · explained in 1 episode
• Wasserstein Distance — 34× in this paper · explained in 4 episodes
• Generalization — 12× in this paper · explained in 13 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Adversarial Training — 9× in this paper · explained in 1 episode
• Feature Extraction — 8× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Gradient Reversal Layer — 3× in this paper
• Spectral Normalization — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Analog Modulation Interference — 2× in this paper
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Digital Modulation Interference — 2× in this paper
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization Bounds — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Narrowband Noise Interference — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes

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