Alternatives and similar repositories for influence-function-analysis

Users that are interested in influence-function-analysis are comparing it to the libraries listed below

• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• successar / FRESH
  ☆27Updated last year
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆71Updated 9 months ago
• XiangLi1999 / syntactic-VIB
  Implementation of the paper: Specializing pretrained word embeddings (for parsing) by IB
  ☆52Updated 2 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated last year
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 4 years ago
• pmichel31415 / teapot-nlp
  Tool for Evaluating Adversarial Perturbations on Text
  ☆61Updated 3 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
• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 3 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆96Updated 2 years ago
• john-hewitt / control-tasks
  Repository describing example random control tasks for designing and interpreting neural probes
  ☆32Updated 2 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• fangleai / Implicit-LVM
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆54Updated 3 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆101Updated 5 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆36Updated 3 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• johnmwu / contextual-corr-analysis
  ☆17Updated 5 years ago
• successar / instance_attributions_NLP
  ☆17Updated 4 years ago
• alontalmor / oLMpics
  ☆46Updated 5 years ago
• yanaiela / amnesic_probing
  ☆39Updated 3 years ago
• asappresearch / rationale-alignment
  ☆46Updated 4 years ago
• jxhe / self-training-text-generation
  Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"
  ☆46Updated 2 years ago
• INK-USC / hierarchical-explanation-neural-sequence-models
  Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
  ☆30Updated 4 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago