tayden / ood-metrics
Functions for computing metrics commonly used in the field of out-of-distribution (OOD) detection
☆47Updated last month
Alternatives and similar repositories for ood-metrics:
Users that are interested in ood-metrics are comparing it to the libraries listed below
- ☆58Updated 3 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆56Updated 2 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…☆43Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆48Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- ☆66Updated 5 years ago
- ☆46Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆24Updated last month
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆73Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆131Updated last year
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- LISA for ICML 2022☆47Updated last year
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- ☆25Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- ☆44Updated 2 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆49Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆94Updated last year
- ☆44Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆33Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- ☆38Updated 3 months ago