Outlier Exposure with Confidence Control for Out-of-Distribution Detection
☆71Mar 13, 2021Updated 5 years ago
Alternatives and similar repositories for OOD-detection-using-OECC
Users that are interested in OOD-detection-using-OECC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Feb 15, 2021Updated 5 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆573Oct 9, 2021Updated 5 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆273May 5, 2018Updated 8 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆269Apr 29, 2021Updated 5 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆356Aug 13, 2019Updated 7 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆199Jun 28, 2017Updated 9 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆235Dec 27, 2018Updated 7 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Feb 17, 2022Updated 4 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆545Oct 12, 2021Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆74May 1, 2023Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆116Dec 31, 2019Updated 6 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Oct 19, 2023Updated 3 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.
- Background resampling for out-of-distribution detection☆13Mar 27, 2020Updated 6 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 4 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 3 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Jan 13, 2021Updated 5 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Jul 16, 2021Updated 5 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Mar 1, 2026Updated 8 months ago
- Text anomaly detection with ARAE and AnoGAN in Tensorflow 2.0☆11Mar 25, 2023Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 4 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆26Jul 13, 2022Updated 4 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 6 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Jul 5, 2022Updated 4 years ago
- ☆440Aug 28, 2021Updated 5 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Jul 28, 2021Updated 5 years ago
- ☆12Jan 17, 2024Updated 2 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Mar 21, 2022Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆39Apr 16, 2021Updated 5 years ago
- Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection☆13Oct 12, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆94Feb 11, 2022Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆91Jul 25, 2024Updated 2 years ago
- ☆16May 25, 2022Updated 4 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Feb 15, 2025Updated last year
- ☆87Nov 2, 2021Updated 5 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Jul 5, 2022Updated 4 years ago
- This repository is related to the paper titled "Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output"…☆12Apr 14, 2023Updated 3 years ago