Alternatives and similar repositories for GEM:

Users that are interested in GEM 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
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆48Updated 2 years ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆41Updated 2 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆53Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• hongxin001 / ODNL
  Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
  ☆20Updated 2 years ago
• tydpan / NorCal
  ☆31Updated 3 years ago
• ragavsachdeva / EvidentialMix
  PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
  ☆28Updated 4 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• deeplearning-wisc / Spurious_OOD
  ☆23Updated 2 years ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆19Updated 2 years ago
• kobybibas / pnml_ood_detection
  Out-of-distribution detection using the pNML regret. NeurIPS2021
  ☆25Updated 4 months ago
• dmizr / phuber
  [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)
  ☆14Updated 7 months ago
• deeplearning-wisc / dice
  Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
  ☆40Updated 2 years ago
• yaodongyu / ProjNorm
  Predicting Out-of-Distribution Error with the Projection Norm
  ☆17Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated last year
• guyAmit / GLOD
  Github for the conference paper GLOD-Gaussian Likelihood OOD detector
  ☆16Updated 3 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• siyuhuang / TOD
  PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021
  ☆41Updated 2 years ago
• huang50213 / AIM-Fewshot-Continual
  ☆29Updated 3 years ago
• mdca-loss / MDCA-Calibration
  [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…
  ☆33Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• arghosh / noisy_label_pretrain
  ☆32Updated 4 years ago
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆27Updated 3 years ago
• selflein / EBM-OOD-Detection
  Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…
  ☆20Updated 3 years ago