- ViM: Out-Of-Distribution with Virtual-logit Matching (CVPR'22) [paper] [code]
- Training OOD Detectors in their Natural Habitats (ICML'22) [paper] [code]
- Mitigating Neural Network Overconfidence with Logit Normalization (ICML'22) [paper] [code]
- Igeood: An Information Geometry Approach to Out-of-Distribution Detection (ICLR'22) [paper] [code]
- VOS: Learning What You Don't Know by Virtual Outlier Synthesis (ICLR'22) [paper] [code]
- RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection (NeurIPS'22) [paper] [code]
- Boosting Out-of-distribution Detection with Typical Features (NeurIPS'22)[paper] [code]
- Watermarking for Out-of-distribution Detection (NeurIPS'22)[paper] [code]
- SIREN: Shaping Representations for Detecting Out-of-Distribution Objects (NeurIPS'22)[paper] [code]
- Out-of-Distribution Detection with Semantic Mismatch under Masking (ECCV'22) [paper] [code]
- DICE: Leveraging Sparsification for Out-of-Distribution Detection (ECCV'22) [paper] [code]