Causal reasoning in typical computer vision tasks
Deep learning has revolutionized the field of artificial intelligence. Based on the statistical
correlations uncovered by deep learning-based methods, computer vision tasks, such as …
correlations uncovered by deep learning-based methods, computer vision tasks, such as …
Mitigating selection bias in counterfactual prediction through self-supervised domain embedding learning with virtual samples
Q Zhu, H Sun, B Yang - Applied Intelligence, 2024 - Springer
Abstract Treatment effect estimation (TEE) is widely adopted in various domains such as
machine learning, dvertising and marketing, and medicine. During the TEE, there normally …
machine learning, dvertising and marketing, and medicine. During the TEE, there normally …
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation
R Cui, J Sun, B He, K Yang, B Ge - arXiv preprint arXiv:2406.02310, 2024 - arxiv.org
Continuous treatment effect estimation holds significant practical importance across various
decision-making and assessment domains, such as healthcare and the military. However …
decision-making and assessment domains, such as healthcare and the military. However …