Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indr? ?liobait? Confer

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書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track被引頻次學科排名




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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620538.jpg

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負擔

Machine Learning and Knowledge Discovery in Databases. Research Track978-3-031-70359-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

起草

0302-9743 owledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024...?..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:.?The 202 full papers presented here, from this track, were carefully reviewed and selected f

寬容

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嫌惡

Linear Modeling of?the?Adversarial Noise Space these universal directions and the associated adversarial attacks. Empirical analyses conducted with the CIFAR-10 and ImageNet datasets show that LIMANS (i) enables crafting specific and robust adversarial attacks with high probability, (ii) provides a deeper understanding of DNN flaws, and (iii) shows significant ability in transferability.

推延

Novel Node Category Detection Under Subpopulation Shiftction mechanism, RECO-SLIP addresses the dual challenges of resilience against subpopulation shifts and the effective exploitation of graph structure. Our extensive empirical evaluation across multiple graph datasets demonstrates the superior performance of RECO-SLIP over existing methods. The experimental code is available at: ..