DILS: depth incremental learning strategy. [PDF]
Front Neurorobot, 2023 There exist various methods for transferring knowledge between neural networks, such as parameter transfer, feature sharing, and knowledge distillation.
Wang Y +5 more
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Uncertainty alters the balance between incremental learning and episodic memory. [PDF]
Elife, 2022 A key question in decision-making is how humans arbitrate between competing learning and memory systems to maximize reward. We address this question by probing the balance between the effects, on choice, of incremental trial-and-error learning versus ...
Nicholas J, Daw ND, Shohamy D.
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Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning. [PDF]
Sensors (Basel), 2021 Recently, the interest in biometric authentication based on electrocardiograms (ECGs) has increased. Nevertheless, the ECG signal of a person may vary according to factors such as the emotional or physical state, thus hindering authentication. We propose
Kim J +5 more
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An Appraisal of Incremental Learning Methods. [PDF]
Entropy (Basel), 2020 As a special case of machine learning, incremental learning can acquire useful knowledge from incoming data continuously while it does not need to access the original data.
Luo Y, Yin L, Bai W, Mao K.
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Fusion of classical and deep learning features with incremental learning for improved classification of lung and colon cancer. [PDF]
Sci RepAnusha M, Reddy DS.
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Self-incremental learning vector quantization with human cognitive biases. [PDF]
Sci Rep, 2021 Manome N +4 more
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Development and research of a neural network alternate incremental learning algorithm
Компьютерная оптика, 2023 In this paper, the relevance of developing methods and algorithms for neural network incremental learning is shown. Families of incremental learning techniques are presented. A possibility of using the extreme learning machine for incremental learning is
A.A. Orlov, E.S. Abramova
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DILRS: Domain-Incremental Learning for Semantic Segmentation in Multi-Source Remote Sensing Data
Remote Sensing, 2023 With the exponential growth in the speed and volume of remote sensing data, deep learning models are expected to adapt and continually learn over time.
Xue Rui +4 more
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Analysis of Chinese Patents associated with Incremental Clustering Algorithms: A Review
Journal of Computing Research and Innovation, 2022 With the advent of Internet-of-Things (IoT) and overall Information-Technology world, an enormous amount of data is getting generated dynamically and in real-time mode, in almost all domains of research and application systems.
Archana Chaudhari +2 more
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Class-Incremental Learning of Convolutional Neural Networks Based on Double Consolidation Mechanism
IEEE Access, 2020 Class-incremental learning is a model learning technique that can help classification models incrementally learn about new target classes and realize knowledge accumulation.
Leilei Jin, Hong Liang, Changsheng Yang
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