KerryDRX / EvidentialADA
Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
☆18Updated last year
Alternatives and similar repositories for EvidentialADA:
Users that are interested in EvidentialADA are comparing it to the libraries listed below
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Updated 2 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Local Context-Aware Active Domain Adaptation (ICCV 2023)☆19Updated last year
- ☆10Updated last year
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆41Updated last year
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Updated 3 years ago
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆16Updated 10 months ago
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆28Updated 9 months ago
- A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation☆13Updated last year
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆36Updated 2 years ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆10Updated 9 months ago
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆14Updated 7 months ago
- Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)☆21Updated last month
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆20Updated 8 months ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆23Updated last year
- [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation☆18Updated last year
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆25Updated last year
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆17Updated 6 months ago
- ☆11Updated 2 years ago
- ☆11Updated last year
- This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.☆18Updated 2 years ago
- Code of Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification☆11Updated last year
- This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".☆20Updated last year
- The offical implement of ImbSAM (Imbalanced-SAM)☆22Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- code for our paper localized adversarial domain generalization☆15Updated 2 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 2 years ago
- Code for paper "Source Data and Target Annotations Agnostic Transferability Representation for Source-Free Unsupervised Domain Adaptatio…☆13Updated 10 months ago