Alternatives and similar repositories for Spurious_OOD

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

• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆28Updated 2 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• m-Just / OoD-Bench
  ☆44Updated 3 months ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• deeplearning-wisc / dice
  Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
  ☆40Updated 2 years ago
• mueller-mp / SAM-ON
  ☆34Updated last year
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆50Updated 2 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆51Updated 4 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆27Updated 2 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated 2 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆53Updated 3 years ago
• jkatzsam / woods_ood
  ☆16Updated 3 years ago
• alinlab / BAR
  The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…
  ☆33Updated 4 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆32Updated 3 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago