Solution to the Debiasing Track of KDD CUP 2020

6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System

[ICCV 2021 Oral] Deep Evidential Action Recognition

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

Deconfounded Recommendation for Alleviating Bias Amplification

Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'

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

This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.

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.

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

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

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

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

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

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

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

Debiasing Stereotyped Language Models via Model Editing

The official implementation of "DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias" (MM '22)

The project contains code and data leveraged in the research paper "Evaluating the Effectiveness of the Double-Hard Debias Technique Against Racial Bias in Word Embeddings"