16 citations · 34 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen, Bingyu Liao, Jing Luo +2
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model. Conversation reasoning, as a critical component…
Towards Causal Representation Learning and Deconfounding from Indefinite Data
Hang Chen, Xinyu Yang, Qing Yang
Owing to the cross-pollination between causal discovery and deep learning, non-statistical data (e.g., images, text, etc.) encounters significant conflicts in terms of properties a…
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
Hang Chen, Jing Luo, Xinyu Yang +1
Our investigation into the Affective Reasoning in Conversation (ARC) task highlights the challenge of causal discrimination. Almost all existing models, including large language mo…