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
• xmed-lab / CLSS
  NeurIPS 2023: Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
  ☆9Updated 2 months ago
• liangchen527 / RIDG
  Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"
  ☆19Updated 4 months ago
• BorealisAI / ConR
  Contrastive Regularizer
  ☆10Updated last year
• XJTU-XGU / ARPM
  Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
  ☆13Updated last year
• guxiao0822 / LT-DS
  [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts
  ☆19Updated 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
• konpanousis / ConceptDiscoveryModels
  This is the official implementation of the Concept Discovery Models paper.
  ☆13Updated last year
• XJTU-XGU / KPG-RL
  Keypoint-Guided Optimal Transport (NeurIPS 2022)
  ☆24Updated last year
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• leomlck / MEDIMP
  Source code for "MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation", MIDL 2023, https:/…
  ☆10Updated 2 years ago
• xmed-lab / NumCLIP
  [ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression
  ☆11Updated 2 months ago
• med-air / FGRM
  [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
  ☆16Updated 10 months ago
• mingukjang / TAST
  Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23
  ☆22Updated last year
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆50Updated 11 months ago
• divelab / ATTA
  Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]
  ☆20Updated 7 months ago
• devavratTomar / TeSLA
  [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
  ☆23Updated 2 years ago
• yulearningg / LRDG
  Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022
  ☆25Updated last year
• MediaBrain-SJTU / OC_LT
  Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024
  ☆12Updated 10 months ago
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆65Updated last year
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆30Updated 7 months ago
• YueYANG1996 / KnoBo
  NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis
  ☆26Updated 7 months ago
• BasitAlawode / MR-PLIP
  ☆12Updated last month
• yhygao / Explicd
  ☆14Updated 8 months ago
• xmed-lab / UCVME
  AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
  ☆30Updated last year
• longshaocong / DGMamba
  ☆33Updated 7 months ago
• xmed-lab / ECBM
  ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
  ☆17Updated last month
• deargen / MT-ENet
  Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
  ☆19Updated 3 years ago
• ejkim47 / prob-cbm
  Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"
  ☆17Updated last year
• wbw520 / BotCL
  Learning Bottleneck Concepts in Image Classification (CVPR 2023)
  ☆39Updated last year