How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Distributionally robust neural networks for group shifts
Principled Detection of Out-of-Distribution Examples in Neural Networks
The main features of alinlab/confident_classifier are: Long-Tailed / Out-of-Distribution Recognition.
Projects with overlapping indexed features include: 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. ufoym/imbalanced-dataset-sampler — A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones. uoguelph-mlrg/confidence_estimation.