2sang / OOD-baselineLinks
Reproducing experiment result of 'A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks', by Hendrycks et al.(2017)
☆14Updated 6 years ago
Alternatives and similar repositories for OOD-baseline
Users that are interested in OOD-baseline are comparing it to the libraries listed below
Sorting:
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆36Updated last year
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆51Updated 6 years ago
- Library for Meta-Recognition and Weibull based calibration of SVM data.☆83Updated 2 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆345Updated 5 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 7 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆181Updated 5 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆63Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated 11 months ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- NeurIPS Reproducbility Challenge 2019☆9Updated 5 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆137Updated 3 years ago
- Uncertainty in Deep Learning Papers☆34Updated 3 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago