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MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning.

X. Dong, R. Wu, C. Xiong, H. Li, L. Cheng, Y. He, S. Qian, J. Cao, и L. Mo. CIKM, стр. 3923-3927. ACM, (2022)

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Mo Zhong

Ce Mo

Tianmin Mo

Mo Yabg

Mo Yarden

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GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.X. Dong, R. Wu, C. Xiong, H. Li, L. Cheng, Y. He, S. Qian, J. Cao, и L. Mo. CoRR, (2023)SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions.B. Jia, J. Cao, S. Qian, N. Zhu, X. Dong, L. Zhang, L. Cheng, и L. Mo. ACM Trans. Knowl. Discov. Data, 17 (8): 111:1-111:22 (2023)A Non-sequential Approach to Deep User Interest Model for CTR Prediction.K. Zhao, X. Zhao, Q. Cao, и L. Mo. SDM, стр. 531-539. SIAM, (2022)GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.K. Ding, Y. He, X. Dong, J. Yang, L. Zhang, A. Li, X. Zhang, и L. Mo. CIKM, стр. 3918-3922. ACM, (2022)Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.B. Hu, B. Shen, R. Wu, Z. Zhang, Y. Cao, Y. He, L. Zhang, L. Mo, и J. Zhou. PRICAI (3), том 13631 из Lecture Notes in Computer Science, стр. 3-16. Springer, (2022)MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation.W. Cheng, K. Ding, X. Dong, Y. He, L. Zhang, и L. Mo. CIKM, стр. 3803-3807. ACM, (2023)GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.X. Dong, R. Wu, C. Xiong, H. Li, L. Cheng, Y. He, S. Qian, J. Cao, и L. Mo. CIKM, стр. 386-395. ACM, (2022)MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning.X. Dong, R. Wu, C. Xiong, H. Li, L. Cheng, Y. He, S. Qian, J. Cao, и L. Mo. CIKM, стр. 3923-3927. ACM, (2022)BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction.Y. Deng, Y. Chen, X. Dong, L. Pan, H. Li, L. Cheng, и L. Mo. SIGIR, стр. 1859-1863. ACM, (2023)MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.K. Ding, X. Dong, Y. He, L. Cheng, C. Fu, Z. Huan, H. Li, T. Yan, L. Zhang, X. Zhang и 1 other автор(ы). SIGIR, стр. 2237-2241. ACM, (2021)

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