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AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

E. Yang, J. Pan, X. Wang, H. Yu, L. Shen, X. Chen, L. Xiao, J. Jiang, и G. Guo. AAAI, стр. 10745-10753. AAAI Press, (2023)

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Junwei Zhao

Junwei Li

Junwei Wang

Junwei Cao

Weiqing Pan

Другие публикации лиц с тем же именем

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning.J. Jiang, B. Chen, J. Pan, X. Wang, D. Liu, J. Jiang, и M. Long. CoRR, (2023)Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning.X. Wang, J. Pan, X. Guo, D. Liu, и J. Jiang. AAAI, стр. 15644-15652. AAAI Press, (2024)Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach.C. Yang, Q. Wu, J. Jin, X. Gao, J. Pan, и G. Chen. IJCAI, стр. 2355-2361. ijcai.org, (2022)Impression Allocation and Policy Search in Display Advertising.D. Wu, C. Chen, X. Chen, J. Pan, X. Yang, Q. Tan, J. Xu, и K. Lee. ICDM, стр. 749-756. IEEE, (2021)Temporal Interest Network for User Response Prediction.H. Zhou, J. Pan, X. Zhou, X. Chen, J. Jiang, X. Gao, и G. Chen. WWW (Companion Volume), стр. 413-422. ACM, (2024)AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning.E. Yang, J. Pan, X. Wang, H. Yu, L. Shen, X. Chen, L. Xiao, J. Jiang, и G. Guo. CoRR, (2022)Ad Recommendation in a Collapsed and Entangled World.J. Pan, W. Xue, X. Wang, H. Yu, X. Liu, S. Quan, X. Qiu, D. Liu, L. Xiao, и J. Jiang. CoRR, (2024)On the Embedding Collapse when Scaling up Recommendation Models.X. Guo, J. Pan, X. Wang, B. Chen, J. Jiang, и M. Long. ICML, OpenReview.net, (2024)Deep Pattern Network for Click-Through Rate Prediction.H. Zhang, J. Pan, D. Liu, J. Jiang, и X. Li. SIGIR, стр. 1189-1199. ACM, (2024)A Practical Framework of Conversion Rate Prediction for Online Display Advertising.Q. Lu, S. Pan, L. Wang, J. Pan, F. Wan, и H. Yang. ADKDD@KDD, стр. 9:1-9:9. ACM, (2017)

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