Alternatives and similar repositories for pytorch_influence_functions:

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

• zleizzo / datadeletion
  ☆14Updated 5 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆71Updated 10 months ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆74Updated last year
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆85Updated 9 months ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• mueller-mp / SAM-ON
  ☆34Updated last year
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆30Updated 4 years ago
• k-hanawa / criteria_for_instance_based_explanation
  ☆9Updated last year
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆30Updated last year
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 4 years ago
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 2 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 3 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆90Updated 4 years ago
• shash42 / Evaluating-Inexact-Unlearning
  ☆12Updated last year
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 5 years ago
• harshays / simplicitybiaspitfalls
  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
  ☆39Updated last year
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆65Updated 3 years ago
• nsfzyzz / boundary_thickness
  [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
  ☆19Updated 4 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆21Updated 2 years ago
• pratyushmaini / localizing-memorization
  Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"
  ☆18Updated last year
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆68Updated last year
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• MadryLab / BREEDS-Benchmarks
  ☆54Updated 4 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• zhao-ht / ConvexCertify
  This is the code of our work CISS Certified Robustness Against Natural Language Attacks by Causal Intervention published on ICML 2022
  ☆11Updated 2 years ago