Generalized Embedding Machines for Recommender Systems von Yang, Enneng, Xin, Xin, Shen, Li, Luo, Yudong, Guo, Guibing

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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning von Wang, Zhenyi, Yang, Enneng, Shen, Li, Huang, Heng

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Continual Learning From a Stream of APIs von Yang, Enneng, Wang, Zhenyi, Shen, Li, Yin, Nan, Liu, Tongliang, Guo, Guibing, Wang, Xingwei, Tao, Dacheng

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PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews von Wu, Huiqiong, Guo, Guibing, Yang, Enneng, Luo, Yudong, Chu, Yabo, Jiang, Linying, Wang, Xingwei

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Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System von Song, Derun, Yang, Enneng, Guo, Guibing, Shen, Li, Jiang, Linying, Wang, Xingwei

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Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback von Liang, Yuliang, Yang, Enneng, Guo, Guibing, Cai, Wei, Jiang, Linying, Wang, Xingwei

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Bi-directional Contrastive Distillation for Multi-behavior Recommendation von Chu, Yabo, Yang, Enneng, Liu, Qiang, Liu, Yuting, Jiang, Linying, Guo, Guibing

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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning von Wang, Zhenyi, Yang, Enneng, Shen, Li, Huang, Heng

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Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities von Yang, Enneng, Shen, Li, Guo, Guibing, Wang, Xingwei, Cao, Xiaochun, Zhang, Jie, Tao, Dacheng

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Symmetric Graph Contrastive Learning against Noisy Views for Recommendation von Zhao, Chu, Yang, Enneng, Liang, Yuliang, Zhao, Jianzhe, Guo, Guibing, Wang, Xingwei

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Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion von Lan, Pengxiang, Yang, Enneng, Liu, Yuting, Guo, Guibing, Jiang, Linying, Zhao, Jianzhe, Wang, Xingwei

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Repeated Padding for Sequential Recommendation von Dang, Yizhou, Liu, Yuting, Yang, Enneng, Guo, Guibing, Jiang, Linying, Wang, Xingwei, Zhao, Jianzhe

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Representation Surgery for Multi-Task Model Merging von Yang, Enneng, Shen, Li, Wang, Zhenyi, Guo, Guibing, Chen, Xiaojun, Wang, Xingwei, Tao, Dacheng

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Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging von Shen, Li, Tang, Anke, Yang, Enneng, Guo, Guibing, Luo, Yong, Zhang, Lefei, Cao, Xiaochun, Du, Bo, Tao, Dacheng

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AdaMerging: Adaptive Model Merging for Multi-Task Learning von Yang, Enneng, Wang, Zhenyi, Shen, Li, Liu, Shiwei, Guo, Guibing, Wang, Xingwei, Tao, Dacheng

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Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation von Dang, Yizhou, Yang, Enneng, Guo, Guibing, Jiang, Linying, Wang, Xingwei, Xu, Xiaoxiao, Sun, Qinghui, Liu, Hong

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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning von Wang, Zhenyi, Yang, Enneng, Shen, Li, Huang, Heng

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AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning von Yang, Enneng, Pan, Junwei, Wang, Ximei, Yu, Haibin, Shen, Li, Chen, Xihua, Xiao, Lei, Jiang, Jie, Guo, Guibing

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Generalized Embedding Machines for Recommender Systems von Yang, Enneng, Xin, Xin, Shen, Li, Guo, Guibing

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SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery von Yang, Enneng, Shen, Li, Wang, Zhenyi, Guo, Guibing, Wang, Xingwei, Cao, Xiaocun, Zhang, Jie, Tao, Dacheng

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