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Found 2 papers, 1 papers with code
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling
In practice, these dominant pipeline models may be limited in computational efficiency and generalization capacity because of non-parallel inference and context-free discrete label embeddings.
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection
Anomaly detection on the attributed network has recently received increasing attention in many research fields, such as cybernetic anomaly detection and financial fraud detection.
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