Alternatives and similar repositories for EvidentialADA

Users that are interested in EvidentialADA are comparing it to the libraries listed below

• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆36Updated 2 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• Eaaguilart / cedl
  Continual Evidential Deep Learning ICCVW 2023
  ☆14Updated last year
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆46Updated last year
• MengyuanChen21 / Re-EDL
  [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning
  ☆21Updated last month
• CityU-AIM-Group / Anna
  [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation
  ☆20Updated 2 years ago
• Luoyadan / SF-PGL
  This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…
  ☆25Updated last year
• zhigao2017 / Meta-causal
  Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization
  ☆19Updated last year
• pilsHan / awesome-source-free-domain-adaptation
  ☆25Updated 2 years ago
• roysubhankar / uncertainty-sfda
  PyTorch code for Uncertainty-guided Source-free Domain Adaptation
  ☆36Updated 3 years ago
• MengyuanChen21 / Awesome-Evidential-Deep-Learning
  A curated publication list on evidential deep learning.
  ☆128Updated 3 months ago
• tsun / LADA
  Local Context-Aware Active Domain Adaptation (ICCV 2023)
  ☆19Updated last year
• lingeringlight / DomainDrop
  The official implementation for DomainDrop (ICCV 2023).
  ☆49Updated last year
• FlynnYe / UR-ERN
  Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024
  ☆19Updated last year
• TL-UESTC / DAPM
  A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
  ☆13Updated last year
• Chumsy0725 / FBC-SA
  Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)
  ☆20Updated 11 months ago
• changchunli / PLSP
  ☆11Updated 2 years ago
• ZyeZhang / DaC
  Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
  ☆42Updated 2 years ago
• ispc-lab / GLC
  [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"
  ☆31Updated 3 months ago
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆59Updated 2 years ago
• MengyuanChen21 / ICLR2024-REDL
  [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  ☆42Updated 8 months ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆62Updated 2 years ago
• yulearningg / LRDG
  Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022
  ☆26Updated 2 years ago
• liangchen527 / RIDG
  Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"
  ☆20Updated 6 months ago
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆67Updated last year
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 3 years ago
• donghao51 / SimMMDG
  [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  ☆66Updated 2 months ago
• yuyang16101066 / anedl
  ☆10Updated last year
• 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
• bardisafa / EOAL
  [AAAI 2024] An Implementation of Entropic Open-set Active Learning
  ☆24Updated last year