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Neocognitron capable of incremental learning
Neural Networks, 2003This paper proposes a new neocognitron that accepts incremental learning, without giving a severe damage to old memories or reducing learning speed. The new neocognitron uses a competitive learning, and the learning of all stages of the hierarchical network progresses simultaneously.
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Incremental learning of logic programs
1995In this paper, we identify a class of polynomial-time learnable logic programs. These programs can be learned from examples in an incremental fashion using the already defined predicates as background knowledge. Our class properly contains the class of innermost simple programs of [20] and the class of hereditary programs of [12,13].
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Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Marc Masana +2 more
exaly
Incremental learning with neural networks for computer vision: a survey
Artificial Intelligence Review, 2022Zhou Yong, Zhiwen Shao, Bing Liu
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Incremental learning for exudate and hemorrhage segmentation on fundus images
Information Fusion, 2021Wanji He, Xin Wang, Lin Wang
exaly
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Da-Wei Zhou, Han-Jia Ye, Ma Liang
exaly
Incremental Learning, Incremental Backdoor Threats
IEEE Transactions on Dependable and Secure ComputingWenbo Jiang +4 more
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ISM-Net: Mining incremental semantics for class incremental learning
Neurocomputing, 2022Zihuan Qiu +5 more
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