jfc43 / robust-ood-detectionLinks
Robust Out-of-distribution Detection in Neural Networks
☆72Updated 3 years ago
Alternatives and similar repositories for robust-ood-detection
Users that are interested in robust-ood-detection are comparing it to the libraries listed below
Sorting:
- ☆46Updated 4 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆49Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆66Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆137Updated 3 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 3 years ago
- ☆58Updated 3 years ago
- ☆25Updated 2 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆230Updated 6 years ago
- ☆40Updated 5 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 3 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆128Updated 3 years ago