debiasing
There are 43 repositories under debiasing topic.
ChuanyuXue/KDDCUP-2020
6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System
xuetf/KDD_CUP_2020_Debiasing_Rush
Solution to the Debiasing Track of KDD CUP 2020
Cogito2012/DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
yfzhang114/LLaVA-Align
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
humansensinglab/ITI-GEN
[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation
WenjieWWJ/DecRS
Deconfounded Recommendation for Alleviating Bias Amplification
WenjieWWJ/Clickbait
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
BetsyHJ/SOFA
A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
pbevan1/Detecting-Melanoma-Fairly
Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'
tsinghua-fib-lab/WTG-DVR
The official implementation of "DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias" (MM '22)
zealscott/Causality4Rec_Paperlist
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
EIDOSLAB/unbiased-contrastive-learning
Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN
georgezoto/RNN-LSTM-NLP-Sequence-Models
Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.
daniel-saeedi/PyDebiaser
A debiasing library for Transformers models
CRIPAC-DIG/CF-FEND
[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".
aida-ugent/DeBayes
DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).
MyTHWN/UGE-Unbiased-Graph-Embedding
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
jasonshaoshun/AMSAL
code for "Erasure of Unaligned Attributes from Neural Representations"
myhakureimu/PreRec
Repo for Pre-trained Recommender Systems: A Causal Debias Perspective in The 17th ACM International Conference on Web Search and Data Mining (WSDM)
pbevan1/Skin-Deep-Unlearning
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
avani17101/CD
Code for paper "Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement​", Neurips 2023
jasonshaoshun/SAL
code for "Spectral Removal of Guarded Attribute Information"
zjunlp/BiasEdit
Debiasing Stereotyped Language Models via Model Editing
bashirulazam/within-triplet-debias
Probabilistic Debiasing of Scene Graphs (CVPR 2023)
bhavyaghai/Cascaded-Debiasing
Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions on Fairness, Accuracy and Population groups
geonyeong-park/DCWP
The official repository for "Training Debiased Subnetworks with Contrastive Weight Pruning"
i6092467/diff-bias-proxies
Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers
WangXFng/CaDRec
[SIGIR 2024] CaDRec: Contextualized and Debiased Recommender Model
hiyouga/Toxic_Detection
BUAA SCSE Autumn 2021 Machine Learning Group Homework
Ahmad-AlSubaie/CS499-DL-debaising
Repository for research done into the methods used to debias ML models. Specifically looking into the role that measurements, metrics, and benchmarks can be in reducing the bias of a model.
cjshui/fair-path
Code for fair-representation learning path
Jackpepito/ClusterFix
Official Implementation of ClusterFix (WACV 2024)
luka-group/Causal-View-of-Entity-Bias
[EMNLP 2023] A Causal View of Entity Bias in (Large) Language Models
AIML-research/PoE
Code for paper: "Power of Explanations: Towards automatic debiasing in hate speech detection", DSAA 2022 (https://ieeexplore.ieee.org/document/10032325/). Repository maintained by Yi Cai.
estija/CMID
Code for the Conditional Mutual Information-Debiasing (CMID) method.
jolares/ai-ethics-fairness-and-bias
Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias in machine learning (ML) models throughout the AI application lifecycle.