Learning to Continually Learn Rapidly from Few and Noisy Data

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier +3

Neural networks suffer from catastrophic forgetting and are unable to sequentially learn new tasks without guaranteed stationarity in data distribution. Continual learning could be…