Alternatives and similar repositories for CARs

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

• Wuyxin / DISC
  (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  ☆42Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆12Updated 2 years ago
• piotr-teterwak / erm_plusplus
  ☆17Updated last year
• adaminsky / compositional_concepts
  Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.
  ☆16Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated 2 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• valentyn1boreiko / DVCEs
  ☆39Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆70Updated this week
• m-Just / OoD-Bench
  ☆44Updated 6 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• deeplearning-wisc / vit-spurious-robustness
  ☆27Updated 2 years ago
• shengliu66 / LC
  Official Implementation of Avoiding spurious correlations via logit correction
  ☆17Updated 2 years ago
• aliasgharkhani / Masktune
  ☆28Updated 2 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• aengusl / spawrious
  ☆27Updated last year
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• i-gao / targeted-augs
  Code for paper "Out-of-Domain Robustness via Targeted Augmentations"
  ☆13Updated 2 years ago
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆113Updated last year
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆84Updated last year
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆16Updated 2 years ago