8 citations · 11 across the 5 of their papers we have counts for
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cs.LG2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
Hang Chen, Keqing Du, Chenguang Li +1
The fusion of causal models with deep learning introducing increasingly intricate data sets, such as the causal associations within images or between textual components, has surfac…
cs.CV2023
CASR: Refining Action Segmentation via Marginalizing Frame-levle Causal Relationships
Keqing Du, Xinyu Yang, Hang Chen
Integrating deep learning and causal discovery has increased the interpretability of Temporal Action Segmentation (TAS) tasks. However, frame-level causal relationships exist many…
cs.LG2023★ 2 cited
SSL Framework for Causal Inconsistency between Structures and Representations
Hang Chen, Xinyu Yang, Keqing Du +1
The cross-pollination between causal discovery and deep learning has led to increasingly extensive interactions. It results in a large number of deep learning data types (such as i…