Real-World Applications of Continual Learning: From Theory to Practice
Author:
Affiliation:
1. JMIETI,CSE Department,Yamunanagar,Haryana,India,135133
2. DCSA, Kurukshetra University,Kurukshetra,Haryana,India,136119
3. BPSMV,Dept. of CSE & IT,Sonipat,Haryana,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10440965/10441652/10441658.pdf?arnumber=10441658
Reference25 articles.
1. An Appraisal of Incremental Learning Methods
2. A novel concept drift detection method for incremental learning in nonstationary environments;Zhe;IEEE transactions on neural networks and learning systems,2019
3. Incremental learning of object detectors without catastrophic forgetting;Konstantin,2017
4. Data-Driven Edge Computing Resource Scheduling for Protest Crowds Incident Management
5. Embracing Change: Continual Learning in Deep Neural Networks
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