hendrycks / outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
☆548Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for outlier-exposure
- A simple and effective method for detecting out-of-distribution images in neural networks.☆531Updated 3 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆342Updated 5 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆224Updated 5 years ago
- ☆400Updated 3 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆275Updated last year
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆178Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 4 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆267Updated 6 years ago
- A simple and effective method for single-class classification of images☆159Updated 2 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆247Updated 5 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆447Updated 2 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆260Updated 6 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆980Updated 3 months ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 3 months ago
- My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆398Updated last year
- A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.☆338Updated last year
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆532Updated 3 months ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆129Updated 3 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆225Updated last year
- Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆251Updated 6 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆482Updated 7 months ago
- Latent space autoregression for novelty detection.☆196Updated last year
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆333Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆134Updated 3 years ago
- A PyTorch implementation of the Deep SVDD anomaly detection method☆709Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆611Updated 2 years ago