Improving Generalization in Deep Neural Networks by Mitigating Memorization

Yong Zhuang; Tianyu Kang; Zhen Lu; Wei Ding; Ping Chen

doi:10.1007/978-981-96-8173-0_8

Improving Generalization in Deep Neural Networks by Mitigating Memorization

Yong Zhuang
, Tianyu Kang
, Zhen Lu
, Wei Ding
, Ping Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings
Editors	Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Zhangkai Wu, Yu Yao
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	93-104
Number of pages	12
ISBN (Print)	9789819681723
DOIs	https://doi.org/10.1007/978-981-96-8173-0_8
State	Published - 2025
Event	29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 - Sydney, Australia Duration: Jun 10 2025 → Jun 13 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	15871 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025
Country/Territory	Australia
City	Sydney
Period	6/10/25 → 6/13/25

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-981-96-8173-0_8

Cite this

Zhuang, Y., Kang, T., Lu, Z., Ding, W., & Chen, P. (2025). Improving Generalization in Deep Neural Networks by Mitigating Memorization. In X. Wu, M. Spiliopoulou, C. Wang, V. Kumar, L. Cao, Y. Wu, Z. Wu, & Y. Yao (Eds.), Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings (pp. 93-104). (Lecture Notes in Computer Science; Vol. 15871 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-8173-0_8

Improving Generalization in Deep Neural Networks by Mitigating Memorization. / Zhuang, Yong; Kang, Tianyu; Lu, Zhen et al.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. ed. / Xintao Wu; Myra Spiliopoulou; Can Wang; Vipin Kumar; Longbing Cao; Yanqiu Wu; Zhangkai Wu; Yu Yao. Springer Science and Business Media Deutschland GmbH, 2025. p. 93-104 (Lecture Notes in Computer Science; Vol. 15871 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhuang, Y, Kang, T, Lu, Z, Ding, W & Chen, P 2025, Improving Generalization in Deep Neural Networks by Mitigating Memorization. in X Wu, M Spiliopoulou, C Wang, V Kumar, L Cao, Y Wu, Z Wu & Y Yao (eds), Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Lecture Notes in Computer Science, vol. 15871 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 93-104, 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, 6/10/25. https://doi.org/10.1007/978-981-96-8173-0_8

Zhuang Y, Kang T, Lu Z, Ding W , Chen P. Improving Generalization in Deep Neural Networks by Mitigating Memorization. In Wu X, Spiliopoulou M, Wang C, Kumar V, Cao L, Wu Y, Wu Z, Yao Y, editors, Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 93-104. (Lecture Notes in Computer Science). doi: 10.1007/978-981-96-8173-0_8

Zhuang, Yong ; Kang, Tianyu ; Lu, Zhen et al. / Improving Generalization in Deep Neural Networks by Mitigating Memorization. Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. editor / Xintao Wu ; Myra Spiliopoulou ; Can Wang ; Vipin Kumar ; Longbing Cao ; Yanqiu Wu ; Zhangkai Wu ; Yu Yao. Springer Science and Business Media Deutschland GmbH, 2025. pp. 93-104 (Lecture Notes in Computer Science).

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