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out-of-distribution

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dlmacedo / entropic-out-of-distribution-detection

Star 79

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

machine-learning deep-learning pytorch ood osr ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai
  • Updated Sep 22, 2022
  • Python

dlmacedo / distinction-maximization-loss

Star 44

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

machine-learning deep-learning pytorch classification ood osr uncertainty-estimation ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai
  • Updated Sep 22, 2022
  • Python

moucheng2017 / EM-BPL-Semi-Seg

Star 40

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

computer-vision semi-supervised-learning expectation-maximization segmentation bayesian medical-image-computing variational-inference computervision vessel-segmentation em-algorithm miccai robustness lung brats adversarial-attacks out-of-distribution miccai2022 miccai-2022
  • Updated May 16, 2025
  • Python

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