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News/H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers
arxiv
PublishedApril 27, 2026 at 4:00 AM
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H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.22045v1 Announce Type: cross Abstract: Feature attribution methods explain the predictions of deep neural networks by assigning importance scores to individual input features. However, most existing methods focus solely on marginal effects, overlooking feature interactions, where groups o

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Discussion
Mentioned models
05
  • 01
    VGG
  • 02
    ResNet
  • 03
    DenseNet
  • 04
    MobileNet
  • 05
    Segment Anything (SAM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#computer-vision#interpretability#image-classification

No replies yet. Be first.

Mentioned models
05
  • 01
    VGG
  • 02
    ResNet
  • 03
    DenseNet
  • 04
    MobileNet
  • 05
    Segment Anything (SAM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#computer-vision#interpretability#image-classification

Related coverage

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