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This repo aims to provide the most comprehensive, up-to-date, high-quality resource for **OOD detection, robustness, and generalization** in Deep Learning. Your one-stop shop for everything OOD is here.
This repo aims to provide the most comprehensive, up-to-date, high-quality resource for **OOD detection, robustness, and generalization** in Machine Learning/Deep Learning. Your one-stop shop for everything OOD is here.
- Sharon Y. Li [[Twitter]](https://twitter.com/SharonYixuanLi)[[Scholar]](https://scholar.google.com/citations?user=QSTd1oUAAAAJ)
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- Bo Han [[Scholar]](https://scholar.google.com/citations?hl=en&user=nTNjqHwAAAAJ&view_op=list_works&sortby=pubdate)
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- Yiyou Sun [[Twitter]](https://twitter.com/YiyouSun)[[Scholar]](https://scholar.google.com/citations?user=IKqlQo4AAAAJ)
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TODO: Update list of researcher
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# Articles
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## OOD Generalization
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(NeurIPS 2024) [Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift]() by Wu et al.
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(NeurIPS 2024) [Human-Assisted Out-of-Distribution Generalization and Detection]() by Bai et al.
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(NeurIPS 2024) [WikiDO: Evaluating Out-of-Distribution Generalization of Vision-Language Models in Cross-Modal Retrieval]() by Tankala et al.
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(Nature) [Out-of-distribution generalization for learning quantum dynamics](https://www.nature.com/articles/s41467-023-39381-w) by Caro et al.
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(ICML 2024) [CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection](https://openreview.net/pdf?id=xFDJBzPhci)[[Code]](https://github.com/LinLLLL/CRoFT) by Zhu et al.
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(ICML 2024) [Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning](https://openreview.net/pdf?id=SMUXPVKUBg)[[Code]](https://github.com/AdityaLab/FOIL) by Liu et al.
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