Alternatives and similar repositories for NLP-Robustness:

Users that are interested in NLP-Robustness are comparing it to the libraries listed below

• nng555 / ssmba
  ☆63Updated 2 years ago
• xhan77 / influence-function-analysis
  ☆64Updated 4 years ago
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆35Updated 4 years ago
• salesforce / fast-influence-functions
  ☆88Updated last year
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆59Updated last year
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 4 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated last year
• bzantium / bert-AAD
  Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation
  ☆34Updated 4 years ago
• AI-secure / InfoBERT
  [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…
  ☆84Updated last year
• Wluper / Retrograph
  Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
  ☆20Updated 4 years ago
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆60Updated 2 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
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆23Updated 2 years ago
• facebookresearch / CMR
  N/A
  ☆18Updated 2 years ago
• 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
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆69Updated 7 months ago
• uditarora / ood-text-emnlp
  Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"
  ☆25Updated 3 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆85Updated last year
• microsoft / MetaXL
  Meta Representation Transformation for Low-resource Cross-lingual Learning
  ☆40Updated 3 years ago
• johnmwu / contextual-corr-analysis
  ☆17Updated 4 years ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 3 years ago
• AI-secure / T3
  [EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Q…
  ☆26Updated 3 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆64Updated 2 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• seanie12 / SWEP
  [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA
  ☆16Updated 2 years ago