Papersby GlyphSeeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation research paper by Hugging Face, 2026
Hugging Face · Foundation models · May 9, 2026 · 0 citations · 4 upvotes · unverified
What it shows
LogMILP is a weakly supervised framework for log anomaly detection that enables both bag-level detection and instance-level localization using prototype-guided structural modeling with counterfactual perturbation consistency regularization.
By Yutszyuk Wong, Wentai Wu, Yuen-Ying Yeung and 1 more · arXiv 2605.10988 · PDF · Code
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- arXiv.org
- Citations
- 0, 0 influential · Semantic Scholar
- Upvotes
- 4 · Hugging Face
- Lab
- Hugging Face · on Companies · on Acquisitions · on Releases
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