Alternatives and similar repositories for criteria_for_instance_based_explanation:

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

• r-three / mats
  ☆28Updated 7 months ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆26Updated last year
• zleizzo / datadeletion
  ☆14Updated 4 years ago
• princetonvisualai / directional-bias-amp
  https://arxiv.org/abs/2102.12594
  ☆14Updated last year
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 3 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆56Updated last year
• tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models
  NAACL 2022 Findings
  ☆15Updated 2 years ago
• salesforce / fast-influence-functions
  ☆87Updated last year
• ryokamoi / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆16Updated 4 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆84Updated 8 months ago
• google-research / jax-influence
  ☆60Updated 3 years ago
• dongxinshuai / RIFT-NeurIPS2021
  ☆11Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆70Updated 9 months ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 3 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆64Updated 2 years ago
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆15Updated last year
• uiuctml / fair-classification
  Post-processing for fair classification
  ☆13Updated last month
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆69Updated 11 months ago
• mmatena / model_merging
  ☆64Updated 2 years ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆62Updated 3 months ago
• tatsu-lab / conformal-factual-lm
  ☆20Updated last year
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆84Updated last year
• deeplearning-wisc / vit-spurious-robustness
  ☆24Updated 2 years ago
• launchnlp / LitCab
  ☆22Updated 4 months ago
• dannyallover / overthinking_the_truth
  ☆30Updated 9 months ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• erobic / bias-mitigators
  Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)
  ☆25Updated 10 months ago