Under review AAAI
Published in AAAI, 2024
This paper explores XXXX (replace with actual topic).
Recommended citation: Zhou, X., Wu, O.*, & Yang, N. (Under review). "XXXX." AAAI Conference on Artificial Intelligence.
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Publications
Journal Articles
Rethinking Learning Difficulty and Uncertainty of Samples with A Target Perturbation-aware Bias-Variance Decomposition
Published in IJMLC, 2024
This paper rethinks learning difficulty and uncertainty of samples using a target perturbation-aware bias-variance decomposition.
Recommended citation: Yao, R., & Wu, O*. (Under second review). "Rethinking Learning Difficulty and Uncertainty of Samples with A Target Perturbation-aware Bias-Variance Decomposition." International Journal of Machine Learning and Cybernetics.
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Subclass-wise Logit Perturbation for Multi-label Learning
Published in TKDD, 2024
This paper proposes a novel subclass-wise logit perturbation method for multi-label learning.
Recommended citation: Zhu, Y., Wu, O.*, & Su, F. (Under third review). "Subclass-wise Logit Perturbation for Multi-label Learning." ACM Transactions on Knowledge Discovery from Data.
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Data Optimization for Deep Learning: A Survey
Published in TKDE, 2024
This paper provides a comprehensive survey of data optimization techniques for deep learning.
Recommended citation: Wu, O., & Yao, R. (Under second review). "Data Optimization for Deep Learning: A Survey." IEEE Transactions on Knowledge and Data Engineering.
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