Alternatives and similar repositories for PH-Reg

Users that are interested in PH-Reg are comparing it to the libraries listed below

• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆20Updated 4 months ago
• MengyuanChen21 / Re-EDL
  [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning
  ☆24Updated 7 months ago
• yulearningg / LRDG
  Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022
  ☆26Updated 2 years ago
• BorealisAI / ConR
  Contrastive Regularizer
  ☆15Updated last year
• xmed-lab / CLSS
  The official implementation of GCLSS (Generalized CLSS) and CLSS (NeurIPS 2023: Semi-Supervised Contrastive Learning for Deep Regression …
  ☆12Updated 5 months ago
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆71Updated last year
• longshaocong / DGMamba
  ☆35Updated last year
• liangchen527 / RIDG
  Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"
  ☆21Updated last year
• divelab / ATTA
  Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]
  ☆24Updated last year
• Wang-ML-Lab / VDI
  [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  ☆40Updated 2 years ago
• lingeringlight / DomainDrop
  The official implementation for DomainDrop (ICCV 2023).
  ☆51Updated 2 years ago
• devavratTomar / TeSLA
  [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
  ☆24Updated 2 years ago
• MengyuanChen21 / ICLR2024-REDL
  [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  ☆43Updated last year
• XJTU-XGU / ARPM
  Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
  ☆13Updated last year
• MediaBrain-SJTU / Geometric-Harmonization
  [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
  ☆24Updated 8 months ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆36Updated 2 years ago
• wbw520 / BotCL
  Learning Bottleneck Concepts in Image Classification (CVPR 2023)
  ☆43Updated 2 years ago
• liangchen527 / ITTA
  Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"
  ☆35Updated last year
• antonbaumann / MIMO-Unet
  PyTorch implementation of Probabilistic MIMO U-Net
  ☆22Updated last year
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆56Updated last year
• xmed-lab / UCVME
  AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
  ☆31Updated 2 years ago
• uncbiag / UniLMMV
  ☆11Updated last year
• Intellindust-AI-Lab / SSB-OSR
  PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place
  ☆29Updated last year
• pm25 / Semi-Supervised-Regression
  [NeurIPS 2024] Official code for the paper 'RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier'
  ☆14Updated 5 months ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆49Updated 2 years ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆80Updated 2 years ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆124Updated last year
• YyzHarry / vlm-fairness
  [Science Advances] Demographic Bias of Vision-Language Foundation Models in Medical Imaging
  ☆21Updated 10 months ago
• PKU-ML / CLIP-Help-SimCLR
  Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning
  ☆26Updated 2 years ago