Alternatives and similar repositories for V-information

Users that are interested in V-information are comparing it to the libraries listed below

• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• MadryLab / BREEDS-Benchmarks
  ☆56Updated 5 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 6 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆59Updated 4 years ago
• google-research / OOD-failures
  ☆24Updated 4 years ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆33Updated 2 years ago
• ermongroup / fairgen
  Fair Generative Modeling via Weak Supervision
  ☆21Updated 3 years ago
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• google-research / head2toe
  ☆81Updated last year
• ml-research / NeSyXIL
  ☆35Updated 4 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 5 years ago
• izmailovpavel / spurious_feature_learning
  ☆47Updated 2 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆59Updated 3 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆43Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆30Updated 5 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆23Updated 3 years ago