Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
☆20Sep 2, 2025Updated 8 months ago
Alternatives and similar repositories for EvidentialADA
Users that are interested in EvidentialADA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆33Mar 5, 2023Updated 3 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆44Apr 29, 2023Updated 3 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- ☆12Mar 27, 2024Updated 2 years ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆17Mar 20, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning☆14Sep 23, 2024Updated last year
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- Code for AAAI2024 paper: Towards Evidential and Class Separable Open Set Object Detection☆13Dec 23, 2023Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆15Aug 13, 2024Updated last year
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- ☆13Dec 15, 2022Updated 3 years ago
- A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation☆16Nov 28, 2023Updated 2 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.
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Jul 3, 2021Updated 4 years ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆43Nov 18, 2024Updated last year
- Official code for ICML 2024 paper "Learning to Continually Learn with the Bayesian Principle"☆21May 27, 2024Updated last year
- The source code and models for our paper PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction☆14Jan 30, 2023Updated 3 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆17Apr 18, 2025Updated last year
- [AAAI24] Official implement of <Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning>☆23Jan 31, 2024Updated 2 years ago
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆21Jun 30, 2024Updated last year
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Apr 5, 2021Updated 5 years ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆15Jun 1, 2021Updated 4 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.
- Python package to download and use the SSB datasets☆11Aug 3, 2023Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 2 years ago
- Evidential Deep Learning in PyTorch☆74Sep 27, 2022Updated 3 years ago
- ☆37Feb 2, 2026Updated 3 months ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)☆26Jun 27, 2023Updated 2 years ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆34Aug 30, 2024Updated last year
- Concept-based generative models☆12Dec 13, 2024Updated last year
- [CVPR2024] Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts☆31Jun 18, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Semilogarithmic paper template for Bode plot☆10Jul 30, 2020Updated 5 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Oct 25, 2021Updated 4 years ago
- [EMNLP 2024 Industry track] MERLIN : Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank P…☆14Mar 4, 2025Updated last year
- [ICCV 2021 Oral] Deep Evidential Action Recognition☆132Sep 4, 2023Updated 2 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆522Aug 31, 2021Updated 4 years ago
- OW-OVD: Unified Open World and Open Vocabulary Object Detection (CVPR 2025)☆30Dec 2, 2024Updated last year
- Pytorch implementation for Meta-SPL (self-paced learning).☆19Jul 8, 2020Updated 5 years ago