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Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Distributionally robust neural networks for group shifts
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
The main features of ufoym/imbalanced-dataset-sampler are: Long-Tailed / Out-of-Distribution Recognition.
Open-source alternatives to ufoym/imbalanced-dataset-sampler include: alinlab/confident_classifier. facebookresearch/invariantriskminimization. hendrycks/outlier-exposure — Deep Anomaly Detection with Outlier Exposure (ICLR 2019). kohpangwei/group_dro — Distributionally robust neural networks for group shifts. shiyuliang/odin-pytorch — Principled Detection of Out-of-Distribution Examples in Neural Networks. uoguelph-mlrg/confidence_estimation.