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Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.

S. Zhang, Z. Jiang, J. Yao, F. Feng, K. Kuang, Z. Zhao, S. Li, H. Yang, T. Chua, и F. Wu. IEEE Trans. Knowl. Data Eng., 36 (2): 459-474 (февраля 2024)

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Yao Yao

Hongmei Yao

Haimin Yao

Yefeng Yao

Ning Yao

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Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.B. Han, G. Niu, J. Yao, X. Yu, M. Xu, I. Tsang, и M. Sugiyama. CoRR, (2018)Server-Client Collaborative Distillation for Federated Reinforcement Learning.W. Mai, J. Yao, C. Gong, Y. Zhang, Y. Cheung, и B. Han. ACM Trans. Knowl. Discov. Data, 18 (1): 9:1-9:22 (января 2024)Learning on Attribute-Missing Graphs.X. Chen, S. Chen, J. Yao, H. Zheng, Y. Zhang, и I. Tsang. IEEE Trans. Pattern Anal. Mach. Intell., 44 (2): 740-757 (2022)Deep learning with noisy supervisionJ. Yao. University of Technology Sydney, Australia, (2019)Exploring Model Dynamics for Accumulative Poisoning Discovery.J. Zhu, X. Guo, J. Yao, C. Du, L. He, S. Yuan, T. Liu, L. Wang, и B. Han. ICML, том 202 из Proceedings of Machine Learning Research, стр. 42983-43004. PMLR, (2023)Reliable Adversarial Distillation with Unreliable Teachers.J. Zhu, J. Yao, B. Han, J. Zhang, T. Liu, G. Niu, J. Zhou, J. Xu, и H. Yang. ICLR, OpenReview.net, (2022)Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation.F. Zhang, T. Zhou, B. Li, H. He, C. Ma, T. Zhang, J. Yao, Y. Zhang, и Y. Wang. CoRR, (2023)ReMamber: Referring Image Segmentation with Mamba Twister.Y. Yang, C. Ma, J. Yao, Z. Zhong, Y. Zhang, и Y. Wang. CoRR, (2024)Decoupled Variational Embedding for Signed Directed Networks.X. Chen, J. Yao, M. Li, Y. Zhang, и Y. Wang. ACM Trans. Web, 15 (1): 3:1-3:31 (2021)Long-Tailed Partial Label Learning via Dynamic Rebalancing.F. Hong, J. Yao, Z. Zhou, Y. Zhang, и Y. Wang. CoRR, (2023)

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