Defying Imbalanced Forgetting in Class Incremental Learning Article Swipe
Xu Shi-xiong
,
Gaofeng Meng
,
Xing Nie
,
Bolin Ni
,
Bin Fan
,
Shiming Xiang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i14.29555
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i14.29555
We observe a high level of imbalance in the accuracy of different learned classes in the same old task for the first time. This intriguing phenomenon, discovered in replay-based Class Incremental Learning (CIL), highlights the imbalanced forgetting of learned classes, as their accuracy is similar before the occurrence of catastrophic forgetting. This discovery remains previously unidentified due to the reliance on average incremental accuracy as the measurement for CIL, which assumes that the accuracy of classes within the same task is similar. However, this assumption is invalid in the face of catastrophic forgetting. Further empirical studies indicate that this imbalanced forgetting is caused by conflicts in representation between semantically similar old and new classes. These conflicts are rooted in the data imbalance present in replay-based CIL methods. Building on these insights, we propose CLass-Aware Disentanglement (CLAD) as a means to predict the old classes that are more likely to be forgotten and enhance their accuracy. Importantly, CLAD can be seamlessly integrated into existing CIL methods. Extensive experiments demonstrate that CLAD consistently improves current replay-based methods, resulting in performance gains of up to 2.56%.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v38i14.29555
- https://ojs.aaai.org/index.php/AAAI/article/download/29555/30929
- OA Status
- diamond
- Cited By
- 2
- References
- 47
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4393147303Canonical identifier for this work in OpenAlex
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https://doi.org/10.1609/aaai.v38i14.29555Digital Object Identifier
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Defying Imbalanced Forgetting in Class Incremental LearningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-24Full publication date if available
- Authors
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Xu Shi-xiong, Gaofeng Meng, Xing Nie, Bolin Ni, Bin Fan, Shiming XiangList of authors in order
- Landing page
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https://doi.org/10.1609/aaai.v38i14.29555Publisher landing page
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https://ojs.aaai.org/index.php/AAAI/article/download/29555/30929Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ojs.aaai.org/index.php/AAAI/article/download/29555/30929Direct OA link when available
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Forgetting, Class (philosophy), Psychology, Cognitive psychology, Artificial intelligence, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| citation_normalized_percentile.is_in_top_10_percent | False |