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Joint hyperbolic and Euclidean geometry contrastive graph neural networks., , , and . Inf. Sci., (2022)Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss., , , , , , and . IEEE Trans. Multim., (2022)Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors., , , , and . Bioinform., 36 (12): 3693-3702 (2020)Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation., , , , , , and . CoRR, (2022)Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds., , , , , and . CoRR, (2023)LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection., , , , , , and . CoRR, (2023)Feature Prediction Diffusion Model for Video Anomaly Detection., , , , and . ICCV, page 5504-5514. IEEE, (2023)Graph-Level Anomaly Detection via Hierarchical Memory Networks., , and . ECML/PKDD (1), volume 14169 of Lecture Notes in Computer Science, page 201-218. Springer, (2023)ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation., , , , and . KDD, page 4892-4893. ACM, (2022)Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data., , , and . KDD, page 1298-1308. ACM, (2021)