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DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.

, , , , , , and . CVPR, page 3921-3929. Computer Vision Foundation / IEEE, (2020)

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Deep Model Transferability from Attribution Maps., , , , and . NeurIPS, page 6179-6189. (2019)How to Prevent the Poor Performance Clients for Personalized Federated Learning?, , , , , and . CVPR, page 12167-12176. IEEE, (2023)Asymmetric Patch Sampling for Contrastive Learning., , , , , and . CoRR, (2023)Amalgamating Knowledge towards Comprehensive Classification., , , , and . AAAI, page 3068-3075. AAAI Press, (2019)Contrastive Model Invertion for Data-Free Knolwedge Distillation., , , , , and . IJCAI, page 2374-2380. ijcai.org, (2021)Training Generative Adversarial Networks in One Stage., , , , , and . CVPR, page 3350-3360. Computer Vision Foundation / IEEE, (2021)Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data., , , , , , and . NeurIPS, page 11920-11932. (2021)Intra-class Structure Aware Networks for Screen Defect Detection., , , , , and . ICONIP (4), volume 11304 of Lecture Notes in Computer Science, page 476-485. Springer, (2018)Value-Aware Resampling and Loss for Imbalanced Classification., , , , and . CSAE, page 21:1-21:6. ACM, (2018)MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status., , , , , , and . BIBM, page 1040-1045. IEEE, (2022)