25 citations · 57 across the 4 of their papers we have counts for
6 papers
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Treatment effect estimation from observational data is a critical research topic across many domains. The foremost challenge in treatment effect estimation is how to capture hidden…
Edge: Enriching Knowledge Graph Embeddings with External Text
Saed Rezayi, Handong Zhao, Sungchul Kim +3
Knowledge graphs suffer from sparsity which degrades the quality of representations generated by various methods. While there is an abundance of textual information throughout the…
Collaborative Attention Mechanism for Multi-View Action Recognition
Yue Bai, Zhiqiang Tao, Lichen Wang +3
Multi-view action recognition (MVAR) leverages complementary temporal information from different views to improve the learning performance. Obtaining informative view-specific repr…
Stereotype-Free Classification of Fictitious Faces
Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller +1
Equal Opportunity and Fairness are receiving increasing attention in artificial intelligence. Stereotyping is another source of discrimination, which yet has been unstudied in lite…
A Survey on Causal Inference
Liuyi Yao, Zhixuan Chu, Sheng Li +3
Causal inference is a critical research topic across many domains, such as statistics, computer science, education, public policy and economics, for decades. Nowadays, estimating c…
Learning Robust Data Representation: A Knowledge Flow Perspective
Zhengming Ding, Ming Shao, Handong Zhao +1
It is always demanding to learn robust visual representation for various learning problems; however, this learning and maintenance process usually suffers from noise, incompletenes…