deeplearning-wisc / knn-oodLinks
Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
☆185Updated 11 months ago
Alternatives and similar repositories for knn-ood
Users that are interested in knn-ood are comparing it to the libraries listed below
Sorting:
- ☆414Updated 3 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆148Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆175Updated 11 months ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆286Updated 2 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆295Updated this week
- The Official Repository for "Generalized OOD Detection: A Survey"☆455Updated 2 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…☆76Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 4 months ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆61Updated last year
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆136Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆92Updated 3 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆108Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆49Updated last year
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 2 years ago
- This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutio…☆61Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 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
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆137Updated 3 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆267Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆48Updated 5 months ago
- Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.☆75Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year