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Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.

, , , , and . IJCAI, page 4128-4134. ijcai.org, (2019)

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Spot-Adaptive Knowledge Distillation., , , and . IEEE Trans. Image Process., (2022)Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization., , , , , , , , , and 1 other author(s). KDD, page 237-249. ACM, (2023)Finer-Net: Cascaded Human Parsing with Hierarchical Granularity., , , and . ICME, page 1-6. IEEE Computer Society, (2018)DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation., , , and . ECCV (16), volume 13676 of Lecture Notes in Computer Science, page 72-90. Springer, (2022)Learning with Recoverable Forgetting., , , , , , , and . ECCV (11), volume 13671 of Lecture Notes in Computer Science, page 87-103. Springer, (2022)DEPARA: Deep Attribution Graph for Deep Knowledge Transferability., , , , , , and . CVPR, page 3921-3929. Computer Vision Foundation / IEEE, (2020)Data Cleaning and AutoML: Would an Optimizer Choose to Clean?, , , , and . Datenbank-Spektrum, 22 (2): 121-130 (2022)Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate., , and . CoRR, (2023)Unleashing the Potential of Adaptation Models via Go-getting Domain Labels., , , , , , , , , and . ECCV Workshops (8), volume 13808 of Lecture Notes in Computer Science, page 308-325. Springer, (2022)Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers., , , , and . IJCAI, page 4128-4134. ijcai.org, (2019)