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Co-Transport for Class-Incremental Learning


Jul 27, 2021
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

* Accepted to ACM Multimedia 2021 

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Few-Shot Learning with a Strong Teacher


Jul 01, 2021
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao


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How to Train Your MAML to Excel in Few-Shot Classification


Jun 30, 2021
Han-Jia Ye, Wei-Lun Chao


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Contextualizing Multiple Tasks via Learning to Decompose


Jun 15, 2021
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan


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Few-Shot Action Recognition with Compromised Metric via Optimal Transport


Apr 08, 2021
Su Lu, Han-Jia Ye, De-Chuan Zhan


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Support-Target Protocol for Meta-Learning


Apr 08, 2021
Su Lu, Han-Jia Ye, De-Chuan Zhan


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Procrustean Training for Imbalanced Deep Learning


Apr 05, 2021
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao


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Learning Placeholders for Open-Set Recognition


Mar 28, 2021
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

* Accepted to CVPR 2021 as an Oral Presentation 

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DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation


Dec 17, 2020
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S. -H. Gary Chan, Zhenguo Li

* Accepted by AAAI2021 

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Revisiting Unsupervised Meta-Learning: Amplifying or Compensating for the Characteristics of Few-Shot Tasks


Dec 01, 2020
Han-Jia Ye, Lu Han, De-Chuan Zhan


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Novelty-Prepared Few-Shot Classification


Mar 01, 2020
Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu


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Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning


Feb 20, 2020
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao


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Revisiting Meta-Learning as Supervised Learning


Feb 03, 2020
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark Campbell, Kilian Q. Weinberger

* An extended version of the paper titled "A Meta Understanding of Meta-Learning" presented in ICML 2019 Workshop on Adaptive and Multitask Learning: Algorithms & Systems 

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Learning Classifier Synthesis for Generalized Few-Shot Learning


Jun 07, 2019
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha


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Learning Embedding Adaptation for Few-Shot Learning


Dec 16, 2018
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha


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