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
  ☆55Updated 2 years ago
• deeplearning-wisc / dice
  Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
  ☆40Updated 2 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆24Updated 2 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆51Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• yaodongyu / ProjNorm
  Predicting Out-of-Distribution Error with the Projection Norm
  ☆17Updated 2 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• salesforce / ensemble-of-averages
  ☆29Updated last year
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆23Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆47Updated last year
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• ZichenMiao / CL_Atom_Swapping
  ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping
  ☆15Updated last year
• aliasgharkhani / Masktune
  ☆25Updated 2 years ago
• shengliu66 / LC
  Official Implementation of Avoiding spurious correlations via logit correction
  ☆17Updated last year
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 3 years ago
• sooonwoo / CL-Baselines
  This is a Pytorch implementation of contrastive Learning(CL) baselines.
  ☆13Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆70Updated 9 months ago
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆11Updated 3 years ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆19Updated 6 months ago
• ElvishElvis / CLEAR-Continual_Learning_Benchmark
  CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)
  ☆25Updated 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
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆52Updated last year