Outlier Exposure with Confidence Control for Out-of-Distribution Detection
☆70Mar 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:
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆576Oct 9, 2021Updated 4 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
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆357Aug 13, 2019Updated 7 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆234Dec 27, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆47Dec 20, 2020Updated 5 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.☆546Oct 12, 2021Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆51May 11, 2021Updated 5 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆285Oct 19, 2023Updated 2 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Jan 13, 2021Updated 5 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Mar 1, 2026Updated 5 months ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆116Dec 31, 2019Updated 6 years ago
- Text anomaly detection with ARAE and AnoGAN in Tensorflow 2.0☆11Mar 25, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 2 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 6 years ago
- ☆26Jul 13, 2022Updated 4 years ago
- ☆439Aug 28, 2021Updated 4 years ago
- ☆14Jul 17, 2025Updated last year
- Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection☆13Oct 12, 2022Updated 3 years ago
- ☆12Jan 17, 2024Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 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.
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Jul 5, 2022Updated 4 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Mar 21, 2022Updated 4 years ago
- Recording the Time Series Learning☆11Aug 21, 2021Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆139Jul 16, 2021Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆25Jan 25, 2020Updated 6 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 4 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Oct 3, 2023Updated 2 years ago
- ☆16May 25, 2022Updated 4 years ago
- ☆18Dec 4, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆91Jul 25, 2024Updated 2 years ago
- ☆13Sep 14, 2017Updated 8 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
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Dec 20, 2024Updated last year
- 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
- Background resampling for out-of-distribution detection☆13Mar 27, 2020Updated 6 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆158Feb 2, 2023Updated 3 years ago