Alternatives and similar repositories for ARL-UvA

Users that are interested in ARL-UvA are comparing it to the libraries listed below

• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• ryokamoi / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆17Updated 5 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆23Updated 5 months ago
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆73Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• mndu / RNF-Fairness
  PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization
  ☆10Updated 4 years ago
• YonggangZhangUSTC / CausalAdv
  Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'
  ☆43Updated last year
• yuji-roh / fairbatch
  FairBatch: Batch Selection for Model Fairness (ICLR 2021)
  ☆20Updated 2 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆92Updated 5 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 3 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 5 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆13Updated 4 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• AdityaGolatkar / SelectiveForgetting
  ☆58Updated 5 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆16Updated 5 years ago
• pratyushmaini / localizing-memorization
  Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"
  ☆20Updated 2 years ago
• meghdadk / SCRUB
  ☆47Updated last year
• swj0419 / muse_bench
  ☆28Updated 7 months ago
• nsfzyzz / boundary_thickness
  [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
  ☆20Updated 4 years ago
• Viperccc / RDIA
  ☆18Updated 3 years ago
• ynysjtu / ood_bench
  ☆49Updated 3 years ago
• DQle38 / Fair-Feature-Distillation-for-Visual-Recognition
  Official implementation of paper 'Fair Feature Distillation for Visual Recognition'
  ☆17Updated 4 years ago