Causal Intervention

Causal intervention is a rapidly developing field focusing on identifying and manipulating causal relationships within complex systems, particularly in machine learning models. Current research emphasizes using causal inference techniques, such as do-calculus and backdoor adjustment, to improve model robustness, fairness, and interpretability by mitigating confounding factors and spurious correlations. This approach is applied across various domains, including natural language processing, computer vision, and healthcare, leading to advancements in tasks like counterfactual detection, model merging, and domain generalization. The ultimate goal is to build more reliable and trustworthy AI systems that are less susceptible to biases and better reflect true causal mechanisms.

Papers

March 2, 2023

Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
Junho Kim, Byung-Kwan Lee, Yong Man Ro
Adversarial Example Adversarial Robustness Instrumental Variable Causal Feature Causal Intervention Robust Network Adversarial Prediction

February 2, 2023

Disentanglement of Latent Representations via Causal Interventions
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Latent Representation Disentanglement Capability Causal Representation Learning Causal Intervention Vector Quantized Variational Autoencoder Causal System

January 3, 2023

Knowledge-guided Causal Intervention for Weakly-supervised Object Localization
Feifei Shao, Yawei Luo, Fei Gao, Yi Yang, Jun Xiao
Contextual Representation Weakly Supervised Object Localization Causal Intervention

November 28, 2022

Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation
Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska
Decision Making Bayesian Network Literature Review Multiple Outcome Causal Intervention Causal Intervention Module Collaborative Evaluation

October 24, 2022

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
Sequential Recommendation Sequential Data Latent Confounders Causal Intervention Sequential Prediction

September 19, 2022

A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
Xingyao Wang, Yuwen Li, Hongxiang Gao, Xianghong Cheng, Jianqing Li, Chengyu Liu
Semantic Segmentation Causal Intervention Cardiac Signal

September 10, 2022

Causal Intervention for Fairness in Multi-behavior Recommendation
Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin, Zhang Xiong
Recommender System Procedural Fairness Recommendation Accuracy Item Popularity Causal Intervention Popularity Bias Multi Behavior

August 19, 2022

Causal Intervention Improves Implicit Sentiment Analysis
Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
Implicit Sentiment Causal Intervention Aspect Level Sentiment Analysis

May 24, 2022

Certified Robustness Against Natural Language Attacks by Causal Intervention
Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang
Native Robustness Adversarial Example Adversarial Vulnerability Causal Intervention Word Level Attack Synonym Substitution Attack

April 20, 2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu
Instance Learning Causal Intervention Instance Selection

April 17, 2022

Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
Causal Inference Causal Intervention Causal Intervention Module Action Unit

March 23, 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
Boxi Cao, Hongyu Lin, Xianpei Han, Fangchao Liu, Le Sun
Language Model Causal Intervention Causal View Hidden Risk Causal Theory

December 1, 2021

Weakly-Supervised Video Object Grounding via Causal Intervention
Wei Wang, Junyu Gao, Changsheng Xu
Weak Supervision Causal Intervention Video Grounding Object Association