Alternatives and similar repositories for instance_attributions_NLP

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

• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆22Updated 4 years ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 4 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆22Updated 2 years ago
• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 3 years ago
• dongxinshuai / ASCC
  ☆24Updated 4 years ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 4 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• successar / Eraser-Benchmark-Baseline-Models
  Baseline for ERASER benchmark
  ☆17Updated 2 years ago
• lifu-tu / Study-NLP-Robustness
  Code for TACL 2020 paper "An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models"
  ☆14Updated 5 years ago
• INK-USC / expl-refinement
  Code for the paper "Refining Language Model with Compositional Explanation" (NeurIPS 2021)
  ☆12Updated 3 years ago
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆25Updated 4 years ago
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆61Updated 2 years ago
• allenai / label_rationale_association
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Updated last year
• yanaiela / pararel
  ☆45Updated last year
• frankaging / BERT-LRP
  On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
  ☆30Updated 2 years ago
• xiye17 / EvalQAExpl
  Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
  ☆18Updated 4 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆68Updated 4 years ago
• cookielee77 / CLARE
  Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021
  ☆43Updated 4 years ago
• rabeehk / robust-nli
  ☆17Updated 5 years ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆26Updated 3 years ago
• tapilab / aaai-2021-counterfactuals
  ☆15Updated 4 years ago
• successar / FRESH
  ☆27Updated 2 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated 2 years ago
• yuxiang-wu / gen-debiased-nli
  ☆20Updated 3 years ago
• timoschick / self-debiasing
  This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".
  ☆88Updated 3 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago