Výsledky vyhledávání - "Deng Zhiying"

Akademický článek

ASSOCIATION OF PERIPHERAL BLOOD NEUTROPHIL-TO-LYMPHOCYTE RATIO AND LYMPHOCYTE-TO-MONOCYTE RATIO WITH CAROTID ATHEROSCLEROSIS IN PATIENTS IN TYPE 2 DIABETES MELLITUS

Autor: DENG Zhiying, GUO Zongjun, LIAO Pingping, TANG Sisi, WANG Chao

Publikováno v: 精准医学杂志, Vol 38, Iss 5, Pp 455-459 (2023)

Objective To investigate the association of plasma neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) with carotid atherosclerosis (CAS) in type 2 diabetes mellitus(T2DM). Methods A total of 211 T2DM patients who attended Dep

Externí odkaz: https://doaj.org/article/57e8ed43fe154242a541770c38f86939

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Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization

Autor: Liu, Wei, Deng, Zhiying, Niu, Zhongyu, Wang, Jun, Wang, Haozhao, Zhang, YuanKai, Li, Ruixuan

An important line of research in the field of explainability is to extract a small subset of crucial rationales from the full input. The most widely used criterion for rationale extraction is the maximum mutual information (MMI) criterion. However, i

Externí odkaz: http://arxiv.org/abs/2410.06003

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Enhancing the Rationale-Input Alignment for Self-explaining Rationalization

Autor: Liu, Wei, Wang, Haozhao, Wang, Jun, Deng, Zhiying, Zhang, YuanKai, Wang, Cheng, Li, Ruixuan

Rationalization empowers deep learning models with self-explaining capabilities through a cooperative game, where a generator selects a semantically consistent subset of the input as a rationale, and a subsequent predictor makes predictions based on

Externí odkaz: http://arxiv.org/abs/2312.04103

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D-Separation for Causal Self-Explanation

Autor: Liu, Wei, Wang, Jun, Wang, Haozhao, Li, Ruixuan, Deng, Zhiying, Zhang, YuanKai, Qiu, Yang

Rationalization is a self-explaining framework for NLP models. Conventional work typically uses the maximum mutual information (MMI) criterion to find the rationale that is most indicative of the target label. However, this criterion can be influence

Externí odkaz: http://arxiv.org/abs/2309.13391

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