There are 1 repository under debiasing topic.
6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System
Solution to the Debiasing Track of KDD CUP 2020
[ICCV 2021 Oral] Deep Evidential Action Recognition
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation
Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'
The official implementation of "DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias" (MM '22)
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN
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.
[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".
DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
code for "Erasure of Unaligned Attributes from Neural Representations"
Repo for Pre-trained Recommender Systems: A Causal Debias Perspective in The 17th ACM International Conference on Web Search and Data Mining (WSDM)
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
Code for paper "Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement​", Neurips 2023
code for "Spectral Removal of Guarded Attribute Information"
Probabilistic Debiasing of Scene Graphs (CVPR 2023)
Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions on Fairness, Accuracy and Population groups
The official repository for "Training Debiased Subnetworks with Contrastive Weight Pruning"
Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers
BUAA SCSE Autumn 2021 Machine Learning Group Homework
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.
Official Implementation of ClusterFix (WACV 2024)
[EMNLP 2023] A Causal View of Entity Bias in (Large) Language Models
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.
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.