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Han-Jia Ye

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|June 1, 2022
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksHan-Jia Ye, Lu Han, De-Chuan Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 17, 2022
Generalized Knowledge Distillation via Relationship MatchingHan-Jia Ye, Su Lu, De-Chuan Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 5, 2026
Selecting and Distilling Cross-Label ModelsSu Lu, Han-Jia Ye, De-Chuan Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 6, 2019
Learning Multiple Local Metrics: Global Consideration HelpsHan-Jia Ye, De-Chuan Zhan, Nan Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
What Makes Objects Similar: A Unified Multi-Metric Learning ApproachHan-Jia Ye, De-Chuan Zhan, Yuan Jiang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 17, 2022
Few-Shot Learning With a Strong TeacherHan-Jia Ye, Lu Ming, De-Chuan Zhan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 6, 2020
Heterogeneous Few-Shot Model Rectification With Semantic MappingHan-Jia Ye, De-Chuan Zhan, Yuan Jiang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2025
Generalized Conditional Similarity Learning via Semantic MatchingYi Shi, Rui-Xiang Li, Le Gan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 11, 2023
Few-Shot Class-Incremental Learning by Sampling Multi-Phase TasksDa-Wei Zhou, Han-Jia Ye, Liang Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 30, 2026
Representation Learning for Tabular Data: A Comprehensive SurveyJun-Peng Jiang, Si-Yang Liu, Hao-Run Cai, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 1, 2022
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksHan-Jia Ye, Lu Han, De-Chuan Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 17, 2022
Generalized Knowledge Distillation via Relationship MatchingHan-Jia Ye, Su Lu, De-Chuan Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 5, 2026
Selecting and Distilling Cross-Label ModelsSu Lu, Han-Jia Ye, De-Chuan Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 6, 2019
Learning Multiple Local Metrics: Global Consideration HelpsHan-Jia Ye, De-Chuan Zhan, Nan Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
What Makes Objects Similar: A Unified Multi-Metric Learning ApproachHan-Jia Ye, De-Chuan Zhan, Yuan Jiang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 17, 2022
Few-Shot Learning With a Strong TeacherHan-Jia Ye, Lu Ming, De-Chuan Zhan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 6, 2020
Heterogeneous Few-Shot Model Rectification With Semantic MappingHan-Jia Ye, De-Chuan Zhan, Yuan Jiang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2025
Generalized Conditional Similarity Learning via Semantic MatchingYi Shi, Rui-Xiang Li, Le Gan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 11, 2023
Few-Shot Class-Incremental Learning by Sampling Multi-Phase TasksDa-Wei Zhou, Han-Jia Ye, Liang Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 30, 2026
Representation Learning for Tabular Data: A Comprehensive SurveyJun-Peng Jiang, Si-Yang Liu, Hao-Run Cai, et al.
Pageof 2