Robust Out-of-distribution Detection in Neural Networks
☆73Apr 12, 2022Updated 4 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Feb 17, 2022Updated 4 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Feb 15, 2021Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 3 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆356Aug 13, 2019Updated 7 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆545Oct 12, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆116Dec 31, 2019Updated 6 years ago
- ☆441Aug 28, 2021Updated 5 years ago
- [IJCV2025] https://arxiv.org/abs/2304.04521☆18Jan 22, 2025Updated last year
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆23Nov 4, 2022Updated 3 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆234Dec 27, 2018Updated 7 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆572Oct 9, 2021Updated 5 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆26Mar 30, 2022Updated 4 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆42Sep 28, 2022Updated 4 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆60Mar 24, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Jan 19, 2020Updated 6 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Dec 8, 2019Updated 6 years ago
- Introduction to Machine Learning using scikit-learn and PyTorch☆10Sep 26, 2019Updated 7 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Apr 29, 2021Updated 5 years ago
- ☆23Jun 15, 2022Updated 4 years ago
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆22Feb 3, 2024Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆14Aug 22, 2022Updated 4 years ago
- Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching☆93Sep 18, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆18Dec 4, 2021Updated 4 years ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆79Sep 22, 2022Updated 4 years ago
- Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical …☆16Feb 17, 2022Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 4 years ago
- Code and experiments for the adversarial detection paper☆21Jun 11, 2021Updated 5 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Feb 15, 2025Updated last year
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Apr 7, 2021Updated 5 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆285Oct 19, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Jul 5, 2022Updated 4 years ago
- SOTA work about out-of-distribution detection☆15Mar 5, 2021Updated 5 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Jul 16, 2021Updated 5 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆102Jun 28, 2021Updated 5 years ago
- Benchmarking Generalized Out-of-Distribution Detection☆1,083Dec 1, 2025Updated 10 months ago
- ☆12Aug 20, 2023Updated 3 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago