Alternatives and similar repositories for group-influence-release

Users that are interested in group-influence-release are comparing it to the libraries listed below

• google-research / heldout-influence-estimation
  ☆62Updated 4 years ago
• capybaralet / REx_code_release
  ☆63Updated 4 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆61Updated 4 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 4 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆89Updated 5 years ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆31Updated 5 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 6 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆80Updated last year
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago
• Faruk-Ahmed / predictive_group_invariance
  ☆34Updated 4 years ago
• salesforce / fast-influence-functions
  ☆89Updated 3 months ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆60Updated last year
• P2333 / Max-Mahalanobis-Training
  Max Mahalanobis Training (ICML 2018 + ICLR 2020)
  ☆90Updated 4 years ago
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆34Updated 4 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 3 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆89Updated last year
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆273Updated 2 years ago
• guanghelee / neurips19-certificates-of-robustness
  "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …
  ☆17Updated 5 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated 2 years ago