283 citations · 546 across the 36 of their papers we have counts for
4 papers · 1 filter
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye +1
Traditional machine learning systems are deployed under the closed-world setting, which requires the entire training data before the offline training process. However, real-world a…
Co-Transport for Class-Incremental Learning
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Traditional learning systems are trained in closed-world for a fixed number of classes, and need pre-collected datasets in advance. However, new classes often emerge in real-world…
Contextualizing Meta-Learning via Learning to Decompose
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong +3
Meta-learning has emerged as an efficient approach for constructing target models based on support sets. For example, the meta-learned embeddings enable the construction of target…
Learning Placeholders for Open-Set Recognition
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Traditional classifiers are deployed under closed-set setting, with both training and test classes belong to the same set. However, real-world applications probably face the input…