Alternatives and similar repositories for fast-influence-functions:

Users that are interested in fast-influence-functions are comparing it to the libraries listed below

• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 3 years ago
• google-research / jax-influence
  ☆60Updated 3 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆21Updated 4 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆37Updated 2 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 2 years ago
• successar / instance_attributions_NLP
  ☆17Updated 4 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 2 years ago
• allenai / mice
  ☆26Updated 2 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆67Updated 4 years ago
• successar / FRESH
  ☆27Updated last year
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆76Updated last year
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆61Updated 2 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆86Updated last year
• yanaiela / pararel
  ☆44Updated last year
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆77Updated last year
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated last year
• r-three / mats
  ☆30Updated 9 months ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆53Updated 2 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆59Updated last year
• shauli-ravfogel / nullspace_projection
  ☆89Updated 2 years ago
• MadryLab / datamodels
  ☆28Updated last year