增量學習——Maintaining Discrimination and Fairness in Class Incremental Learning——CVPR2020
Abstract knowledge distillation; 造成災難性遺忘的很大一個原因是the weights in the last fully connected layer are highly biased in class-incremental learning; Introduction Conclusion maintain the discrimination via k
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相關文章
- 1. 增量學習——Incremental Learning in Online Scenario——CVPR2020
- 2. 增量學習(Incremental Learning)小綜述
- 3. CV-Paper-增量學習-Large Scale Incremental Learning
- 4. 讀書筆記-增量學習-iCaRL: Incremental Classifier and Representation Learning
- 5. Visual Analysis of Discrimination in Machine Learning
- 6. 機器學習：增量學習論文解讀—— large scale incremental learning
- 7. 讀書筆記-增量學習-End-to-End Incremental Learning
- 8. 讀書筆記-增量學習-Large Scale Incremental Learning
- 9. CVPR2020 Learning in the Frequency Domain學習筆記
- 10. Class-incremental Learning via Deep Model Consolidation 翻譯