Alternatives and similar repositories for VOG

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

• anguyen8 / sam
  Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"
  ☆27Updated 2 years ago
• srebuffi / revisiting_saliency
  There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)
  ☆52Updated 5 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• automl / nes
  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
  ☆33Updated last year
• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• Kamnitsask / ssl_compact_clustering
  Semi-supervised learning via Compact Latent Space Clustering
  ☆49Updated 5 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆86Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆36Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• IgorSusmelj / barlowtwins
  Implementation of Barlow Twins paper
  ☆99Updated 2 years ago
• chandar-lab / CGOptimizer
  ☆6Updated 2 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• nttcslab / Generalized-Domain-Adaptation
  ☆13Updated 3 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆38Updated 4 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• harshays / simplicitybiaspitfalls
  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
  ☆40Updated last year
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆83Updated 4 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆82Updated 3 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆56Updated 3 years ago
• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆97Updated 2 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago