RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples

Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi +5 more
2/12/2026

No official code found. Best implementation: rohban-lab/RODEO (6 stars, MIT, last commit 2025-01-18). 1 more below.

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Code Implementations(2)

rohban-lab/RODEOCommunity72%
MIT

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples

60Jupyter NotebookJan 18, 20251 years agoMIT
hamiddeboo8/RODEOCommunity71%

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples

10Jupyter NotebookOct 27, 20241 years ago

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Cite this paper

@article{mirzaei2026rodeo,
  title  = {RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples},
  author = {Hossein Mirzaei and Mohammad Jafari and Hamid Reza Dehbashi and Ali Ansari and Sepehr Ghobadi and Masoud Hadi and Arshia Soltani Moakhar and Mohammad Azizmalayeri and M. Baghshah and M. H. Rohban},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:6744147068225b851a29359a613a072eb8162f10},
  journal = {ICML 2024 2024}
}

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