Out-of-distribution detection using the pNML regret. NeurIPS2021
☆25Dec 20, 2024Updated last year
Alternatives and similar repositories for pnml_ood_detection
Users that are interested in pnml_ood_detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 3 years ago
- ☆16May 25, 2022Updated 3 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆77Feb 15, 2021Updated 5 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Mar 21, 2022Updated 4 years ago
- Background resampling for out-of-distribution detection☆13Mar 27, 2020Updated 6 years ago
- 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.
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆56Mar 24, 2022Updated 4 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 2022Updated 3 years ago
- ☆23Jun 15, 2022Updated 3 years ago
- Feature Fusion for Online Mutual Knowledge Distillation Code☆27Jul 21, 2020Updated 5 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆26Apr 12, 2023Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 2 years ago
- ☆12Dec 8, 2022Updated 3 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.
- ☆68Dec 20, 2019Updated 6 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- ☆11Mar 13, 2021Updated 5 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- Incremental Learning with Adaptive Resonance Theory (ART) & Developmental Resonance networks☆13Dec 18, 2019Updated 6 years ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 4 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Oct 3, 2023Updated 2 years ago
- Using pre-trained DL models and Transformations for generating occupancy maps. Includes some other basic deep learning tasks. Feel free t…☆12Jul 15, 2020Updated 5 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"☆15Jul 9, 2024Updated last year
- ☆21Nov 19, 2021Updated 4 years ago
- ☆19Jun 26, 2021Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50May 11, 2021Updated 4 years ago
- ☆26Jul 13, 2022Updated 3 years ago
- ☆33Jun 23, 2021Updated 4 years ago
- Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Met…☆12Mar 3, 2022Updated 4 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Sep 27, 2022Updated 3 years ago
- ☆13Sep 11, 2016Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Dec 8, 2019Updated 6 years ago
- Calculate observables from neural network-based VMC (NN-VMC).☆17Apr 16, 2025Updated 11 months ago
- [ACL 2024 Findings] Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning☆13Sep 2, 2024Updated last year
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Aug 26, 2021Updated 4 years ago
- The code of our paper "Misbehaviour Prediction for Autonomous Driving Systems", including our improved Udacity simulator☆21Jun 30, 2021Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Dec 9, 2024Updated last year
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Jan 14, 2022Updated 4 years ago