Alternatives and similar repositories for UR-ERN:

Users that are interested in UR-ERN are comparing it to the libraries listed below

• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆17Updated last year
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated last year
• MengyuanChen21 / Awesome-Evidential-Deep-Learning
  A curated publication list on evidential deep learning.
  ☆96Updated 2 months ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆32Updated 2 years ago
• divelab / ATTA
  Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]
  ☆20Updated 4 months ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆40Updated last year
• Eaaguilart / cedl
  Continual Evidential Deep Learning ICCVW 2023
  ☆14Updated last year
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆52Updated 2 years ago
• deargen / MT-ENet
  Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
  ☆19Updated 3 years ago
• donghao51 / SimMMDG
  [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  ☆59Updated last month
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆59Updated 2 years ago
• liangchen527 / RIDG
  Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"
  ☆19Updated 2 months ago
• bardisafa / EOAL
  [AAAI 2024] An Implementation of Entropic Open-set Active Learning
  ☆22Updated 10 months ago
• roysubhankar / uncertainty-sfda
  PyTorch code for Uncertainty-guided Source-free Domain Adaptation
  ☆36Updated 2 years ago
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆18Updated last year
• Chumsy0725 / FBC-SA
  Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)
  ☆19Updated 6 months ago
• deeplearning-wisc / opencon
  Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
  ☆36Updated last year
• yue-zhongqi / ICON
  Accepted by NeurIPS 2023
  ☆17Updated last year
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆29Updated 9 months ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆59Updated last year
• QingyangZhang / awesome-low-quality-multimodal-learning
  ☆44Updated 2 months ago
• donghao51 / MultiOOD
  [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
  ☆53Updated last month
• CityU-AIM-Group / Anna
  [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation
  ☆16Updated last year
• XLearning-SCU / 2024-ICLR-READ
  Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
  ☆34Updated 3 months ago
• MengyuanChen21 / ICLR2024-REDL
  [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  ☆37Updated 4 months ago
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆52Updated last year
• jeff024 / PALM
  This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024
  ☆26Updated 7 months ago
• hongxin001 / open-sampling
  Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets
  ☆15Updated 2 years ago
• needylove / PH-Reg
  The code of "Deep Regression Representation Learning with Topology" in ICML 2024
  ☆12Updated 8 months ago
• AnAppleCore / MOSE
  Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)
  ☆21Updated 8 months ago