Alternatives and similar repositories for pytorch_influence_functions

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

• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆283Updated 2 years ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆427Updated 4 years ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆244Updated 2 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆182Updated last year
• mtoneva / example_forgetting
  ☆177Updated last year
• csdongxian / AWP
  Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
  ☆185Updated 4 years ago
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆348Updated 6 years ago
• 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
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆579Updated last year
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆568Updated 2 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆209Updated last year
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 6 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆289Updated 3 years ago
• mansheej / data_diet
  ☆109Updated 2 years ago
• VICO-UoE / DatasetCondensation
  Dataset Condensation (ICLR21 and ICML21)
  ☆530Updated last year
• hendrycks / error-detection
  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  ☆231Updated 6 years ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆175Updated 2 years ago
• kohpangwei / influence-release
  ☆797Updated 4 years ago
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆142Updated 5 years ago
• awslabs / aws-cv-task2vec
  Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
  ☆123Updated 2 years ago
• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆815Updated 4 months ago
• P2333 / Bag-of-Tricks-for-AT
  Empirical tricks for training robust models (ICLR 2021)
  ☆257Updated 2 years ago
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆310Updated 5 years ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆220Updated 11 months ago
• wetliu / energy_ood
  ☆424Updated 4 years ago
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆173Updated 3 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆56Updated 7 years ago
• ylsung / pytorch-adversarial-training
  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
  ☆253Updated 5 years ago