Alternatives and similar repositories for federated-conformal:

Users that are interested in federated-conformal are comparing it to the libraries listed below

• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆12Updated 11 months ago
• mueller-mp / SAM-ON
  ☆34Updated last year
• harshays / inputgradients
  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
  ☆13Updated 2 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• deeplearning-wisc / Spurious_OOD
  ☆22Updated 2 years ago
• pierreHmbt / FedCP-QQ
  Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)
  ☆11Updated last year
• yaodongyu / BiasVariance-AdversarialTraining
  ☆8Updated 4 years ago
• lunanbit / FedUL
  FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
  ☆33Updated last year
• bat-sheva / Conformal-Learning
  ☆23Updated 2 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆39Updated last year
• AngusDujw / SAF
  ☆35Updated 2 years ago
• yaodongyu / ProjNorm
  Predicting Out-of-Distribution Error with the Projection Norm
  ☆17Updated 2 years ago
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆13Updated last year
• ramneetk / iDECODe
  AAAI, 2022
  ☆8Updated 4 months ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆19Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• zjfheart / NoiLIn
  The code for NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels (TMLR 22 accept)
  ☆9Updated 2 years ago
• royson / fedl2p
  [NeurIPS'23] FedL2P: Federated Learning to Personalize
  ☆20Updated 8 months ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• skezle / sava
  Scalable data valuation using optimal transport (ICLR 2025)
  ☆12Updated 9 months ago
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 2 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆32Updated last year
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆48Updated 2 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago