Xudong Han's repositories
COMP90051_2020_S1
Materials for SML 2020 S1
Diverse_Adversaries_for_Mitigating_Bias_in_Training
Source codes for EACL 2021 paper "Diverse Adversaries for Mitigating Bias in Training"
Fair_Enough
Source codes for EACL 2023 paper "Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP"
An_Unsupervised_Locality-based_Method_for_Bias_Mitigation
Source codes for ICLR 2023 paper "Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation"
Fair_Dataset_Distillation
Source codes for SustaiNLP@EMNLP 2022 paper "Towards Fair Supervised Dataset Distillation for Text Classification"
Systematic_Evaluation_of_Predictive_Fairness
Source codes for AACL 2022 paper "Systematic Evaluation of Predictive Fairness"
ReImplementation_Robust_and_Privacy_preserving_Text_Representations
PyTorch ReImplementations for ''Towards Robust and Privacy-preserving Text Representations''
Achieving_Fairness_Through_Balanced_Training
Source codes for EMNLP 2022 paper "Balancing out Bias: Achieving Fairness Through Balanced Training"
alpa
Training and serving large-scale neural networks
amazing-github-template
🚀 Useful README.md, LICENSE, CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md, GitHub Issues, Pull Requests and Actions templates to jumpstart your projects.
Balanced-Datasets-Are-Not-Enough
[ICCV'19] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
dataset-distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
Decoupling_Adversarial_Training_for_Fair_NLP
Source codes for ACL 2021 paper "Decoupling Adversarial Training for Fair NLP"
Does_Representational_Fairness_Imply_Empirical_Fairness
Source codes for AACL 2022 paper "Does Representational Fairness Imply Empirical Fairness?"
FastChat
An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
Multilingual_Fairness_LREC
Data and code repository of " Multilingual Fairness Evaluation for Hate Speech Detection ". LREC 2020.
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Python-double-corrected-variance-estimator
A Python implementation for double-corrected-variance-estimator
readmine
Example README file demonstrating a suggested README file structure for software projects
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization