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View Code? Open in Web Editor NEWThis is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.
This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.
Dear authors, I have a question regarding the result Table 1 in the paper, it seems that the increasing of buffer memory (from 2k to 5k) lead to very small improvements of ACC on CIFAR100 and Tiny-ImageNet. For example, the Der++ and RAR in Tiny-ImageNet has almost the same performance with buffer size 2k and 5k. Is there any insights for this observation? Looking forward to your reply. Thank you!
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