Alternatives and similar repositories for influence-fairness

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

• HarrieO / 2022-SIGIR-plackett-luce
  ☆12Updated 3 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆43Updated 3 years ago
• ChuXiaokai / baidu_ultr_dataset
  an unbias-learning-to-rank dataset of Baidu
  ☆64Updated last year
• CharlieMat / GFN4Rec
  Source code for paper "Generative Flow Network for Listwise Recommendation"
  ☆17Updated 10 months ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• yushundong / REDRESS
  Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.
  ☆12Updated 3 years ago
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆75Updated last year
• HarrieO / 2021-SIGIR-plackett-luce
  ☆32Updated 3 years ago
• wyqing20 / PFRec
  This is the source code of PFRec
  ☆14Updated 2 years ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆36Updated last year
• rutgerswiselab / NLR
  Code for paper: Neural Logic Reasoning
  ☆55Updated 2 years ago
• allenai / label_rationale_association
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Updated 2 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆15Updated 4 years ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated 2 years ago
• dudwns511 / MvFS_CIKM23
  ☆12Updated last year
• hnjia00 / Delayed-Feedback
  ☆10Updated 4 years ago
• orcax / LOGER
  Faithfully Explainable Recommendation via Neural Logic Reasoning
  ☆16Updated 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
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆29Updated 4 years ago
• DeepGraphLearning / SPN
  ☆29Updated 3 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆27Updated 2 years ago
• lihuiliullh / WWW2024_New_Frontiers_of_Knowledge_Graph_Reasoning_Tutorial
  WWW 2024: New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends
  ☆18Updated last year
• yushundong / Fairness-must-read-list
  Papers on fairness
  ☆12Updated 4 years ago
• JiahaoXun / IMRec
  The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021
  ☆14Updated 3 years ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆16Updated 8 months ago
• kttian / llm_factuality_tuning
  ☆36Updated last year
• chenchongthu / Recommendation-Unlearning
  ☆41Updated last year
• salesforce / SRMA
  Contrastive Learning with Model Augmentation
  ☆18Updated 3 years ago
• THUDM / BatchSampler
  The source code for BatchSampler that accepted in KDD'23
  ☆18Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago