Alternatives and similar repositories for robust-attribution-regularization

Users that are interested in robust-attribution-regularization are comparing it to the libraries listed below

• kohpangwei / group-influence-release
  ☆51Updated 2 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 4 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆41Updated 5 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 3 years ago
• Eric-Wallace / adversarial-mt
  Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"
  ☆35Updated 5 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆50Updated 2 years ago
• bethgelab / AnalysisBySynthesis
  Adversarially Robust Neural Network on MNIST.
  ☆63Updated 4 years ago
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆36Updated 5 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• VITA-Group / BERT-Tickets
  [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…
  ☆142Updated 4 years ago
• orlitany / SOSELETO
  pytorch implementation of SOSELETO
  ☆15Updated 6 years ago
• AI-secure / InfoBERT
  [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…
  ☆85Updated 2 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 7 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆91Updated 5 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 6 years ago
• MadryLab / BREEDS-Benchmarks
  ☆56Updated 5 years ago
• vikramnitin9 / adversarial-learning-literature
  ☆37Updated 5 years ago
• LaraQianYang / Ouroboros
  Ouroboros: On Accelerating Training of Transformer-Based Language Models
  ☆10Updated 6 years ago
• allenai / label_rationale_association
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Updated 2 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 / FRESH
  ☆27Updated 2 years ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆43Updated 4 years ago
• shizhouxing / Robustness-Verification-for-Transformers
  [ICLR 2020] Code for paper "Robustness Verification for Transformers"
  ☆27Updated last year
• zhuchen03 / VIBNet
  Compressing Neural Networks using the Variational Information Bottleneck
  ☆66Updated 3 years ago
• yanaiela / demog-text-removal
  ☆51Updated 7 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• cecilialeiqi / adversarial_text
  to add
  ☆20Updated 6 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated 2 years ago