Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
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Updated
Apr 3, 2026
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
[CVPR 2025] Test-Time Visual In-Context Tuning
[ACL 2025] Embracing Large Language Models in Traffic Flow Forecasting
[ICML 2025] OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts (MLHC 2026, ICML SD4H 2026)
Accepted at 2025 International Joint Conference on Neural Networks (IJCNN)
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
Möbius Transform for Mitigating Perspective Distortions in Representation Learning (ECCV 2024)
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? (ICCV Workshops 2023)
Official code, results, and reproducibility package for CRIT-AID: reliability auditing for AI decision support under distribution shift, target-definition change, calibration, selective prediction, and conformal uncertainty. Computers 15(9), 560 (2026). DOI: 10.3390/computers15090560
This is the code repository for the research project titled "Towards Robust Propaganda Detection: Addressing Distribution Shifts via Multi-Task Learning".
When Shift Happens - Confounding is to Blame (ICLR 2026)
A matlab class for ggm estimation
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