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cs.LG2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
Yaojia Zheng, Zhouwu Liu, Rong Mo +3
Accurate automated analysis of electroencephalography (EEG) would largely help clinicians effectively monitor and diagnose patients with various brain diseases. Compared to supervi…
cs.LG2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang, Zhiying Cui, Junjie Xu +3
Deep learning has shown its human-level performance in various applications. However, current deep learning models are characterised by catastrophic forgetting of old knowledge whe…