Alternatives and similar repositories for hidden-stratification

Users that are interested in hidden-stratification are comparing it to the libraries listed below

• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated last month
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆160Updated last year
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆73Updated 4 months ago
• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆98Updated 3 years ago
• kundajelab / abstention
  Algorithms for abstention, calibration and domain adaptation to label shift.
  ☆37Updated 4 years ago
• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆79Updated last year
• alextamkin / dabs
  A Domain-Agnostic Benchmark for Self-Supervised Learning
  ☆107Updated 2 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• jgamper / intrinsic-dimensionality
  Use this package to compute intrinsic dimensionality of your task given a fixed neural network in PYTORCH!
  ☆35Updated 2 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆37Updated 4 years ago
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆150Updated 2 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆31Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆36Updated 3 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆30Updated 4 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆127Updated 4 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 2 years ago
• snap-stanford / crust
  [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
  ☆34Updated 4 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 5 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• HazyResearch / domino
  ☆139Updated last year
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago