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An Information Theoretic Metric for Evaluating Unlearning Models
Donjae Jeon*,
Wonje Jeung*,
Taeheon Kim,
Albert No†,
Jonghyun Choi†
arXiv, 2024
[pdf]
[bibtex]
The paper introduces an information-theoretic metric for evaluating machine unlearning models, which helps assess how effectively models forget specific data while preserving overall performance.
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Learning Equi-angular Representations for Online Continual Learning
Minhyuk Seo,
HyunSeo Koh,
Wonje Jeung,
Minjae Lee,
San Kim,
Hankook Lee,
Sungjun Cho,
Sungik Choi,
Hyunwoo Kim,
Jonghyun Choi†
CVPR, 2024
[pdf]
[bibtex]
[code]
The paper proposes a method to improve online continual learning by addressing underfitting from limited training, enhancing the model's adaptability to streaming data.
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Award
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2nd Place in Class-Incremental with Repetition (CIR) using Unlabeled Data - 5th CLVISION workshop @ CVPR 2024
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