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Enneng Yang

Showing results (1-10 of 5) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningZhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 11, 2026
Exploring and Tailoring the Test-Time Augmentation for Sequential RecommendationYizhou Dang, Enneng Yang, Yuting Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient ProjectionEnneng Yang, Li Shen, Zhenyi Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 20, 2024
Continual Learning From a Stream of APIsEnneng Yang, Zhenyi Wang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2025
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model MergingLi Shen, Anke Tang, Enneng Yang, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningZhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 11, 2026
Exploring and Tailoring the Test-Time Augmentation for Sequential RecommendationYizhou Dang, Enneng Yang, Yuting Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient ProjectionEnneng Yang, Li Shen, Zhenyi Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 20, 2024
Continual Learning From a Stream of APIsEnneng Yang, Zhenyi Wang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2025
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model MergingLi Shen, Anke Tang, Enneng Yang, et al.
Pageof 1