1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
Gehui Shen, Shibo Jie, Ziheng Li +1
Continual learning requires the model to maintain the learned knowledge while learning from a non-i.i.d data stream continually. Due to the single-pass training setting, online con…
cs.CV2022
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie, Zhi-Hong Deng, Ziheng Li
We study a practical setting of continual learning: fine-tuning on a pre-trained model continually. Previous work has found that, when training on new tasks, the features (penultim…