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 / influence-release
  ☆786Updated 4 years ago
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆261Updated 2 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆84Updated 8 months ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆415Updated 3 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆558Updated last year
• kohpangwei / group-influence-release
  ☆50Updated last year
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆222Updated 2 years ago
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆344Updated 5 years ago
• mtoneva / example_forgetting
  ☆173Updated 7 months ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆567Updated last year
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆173Updated 8 months ago
• locuslab / smoothing
  Provable adversarial robustness at ImageNet scale
  ☆382Updated 5 years ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆612Updated 3 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆285Updated 3 years ago
• P2333 / Bag-of-Tricks-for-AT
  Empirical tricks for training robust models (ICLR 2021)
  ☆251Updated last year
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆71Updated last year
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆140Updated 4 years ago
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆82Updated 4 years ago
• TianhongDai / integrated-gradient-pytorch
  This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
  ☆182Updated 2 years ago
• frederick0329 / TracIn
  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
  ☆227Updated 3 years ago
• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆787Updated 2 years ago
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆530Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆196Updated 3 months ago
• bhanML / Co-teaching
  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
  ☆500Updated 3 years ago
• salesforce / fast-influence-functions
  ☆87Updated last year
• csdongxian / AWP
  Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
  ☆176Updated 4 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆420Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆70Updated 9 months ago
• locuslab / robust_overfitting
  ☆156Updated 4 years ago