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

[ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.

Python toolkit for debiasing neural networks in image classification tasks

[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation

Deconfounded Recommendation for Alleviating Bias Amplification

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.

[TrustNLP@NAACL 2025] BiasEdit: Debiasing Stereotyped Language Models via Model Editing

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)

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.

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

[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".

A debiasing library for Transformers models

This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.

Repo for Pre-trained Recommender Systems: A Causal Debias Perspective in The 17th ACM International Conference on Web Search and Data Mining (WSDM)

DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).

[ICLR 2026] BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses

Gradient Equilibrium in Online Learning: Theory and Applications

This repository is a debiassing project on CXR Dataset with embedding which is publicly available.

code for "Spectral Removal of Guarded Attribute Information"

Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'

code for "Erasure of Unaligned Attributes from Neural Representations"

Code for paper "Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement​", Neurips 2023

unshrink: post-hoc debiasing of machine learning predictions to reduce shrinkage-induced attenuation bias in downstream causal inference -- without requiring fresh ground-truth data [AAAI 2026, oral]

The official repository for "Training Debiased Subnetworks with Contrastive Weight Pruning"

[SIGIR 2024] CaDRec: Contextualized and Debiased Recommender Model