Source: Harbin Institute of Technology SCIR This article is about 9300 words, recommended reading 10+ minutes. This article will explore the interpretability of the attention mechanism. Introduction Since Bahdanau introduced Attention as soft alignment in neural machine translation in 2014, a large number of natural language processing works have regarded it as an important module … Read more
Source: Zhiyuan Community This article is approximately 3558 words long and is recommended to be read in 7 minutes. This article discusses Assistant Professor Yuan Yang from Tsinghua University's School of Interdisciplinary Information about the interpretability of AI in healthcare. Interpretability is a longstanding challenge for deep learning researchers. Unexpectedly, throughout history, traditional Chinese medicine … Read more
Click on the above“Beginner Learning Vision” to select “Star” or “Top“ Important content delivered promptly Source:Machine Heart For academic sharing only, please contact for deletion if infringing Despite the widespread success of DNNs in various practical applications, their processes are often viewed as black boxes because it is difficult to explain how DNNs make decisions. … Read more
Originally published by Algorithm Advancement This article studies how data collection, processing, and analysis contribute to Explainable Artificial Intelligence (XAI) from a data-centric perspective. Existing work is categorized into three types, serving to explain deep models, reveal training data insights, and provide domain knowledge insights. It distills data mining operations and DNN behavior descriptors for … Read more
Selected from ArXiv Authors: Bo-Jian Hou, Zhi-Hua Zhou Contributors: Si Yuan, Xiao Kun This article is authorized for reproduction by Almost Human (almosthuman2014) Reproduction is prohibited Apart from numerical calculations, do you really know what neural networks are doing internally? We have always understood deep models based on their computational flow, but we are still … Read more
Click the “MLNLP” above to select the “Star” public account Heavy-duty content delivered promptly Author: Gu Yuxuan, Harbin Institute of Technology SCIR References NAACL 2019 “Attention is Not Explanation” ACL 2019 “Is Attention Interpretable?” EMNLP 2019 “Attention is Not Not Explanation” This article will explore the interpretability of the attention mechanism. Introduction Since Bahdanau introduced … Read more
Author: Gu Yuxuan, Harbin Institute of Technology (SCIR) References NAACL 2019 “Attention is Not Explanation” ACL 2019 “Is Attention Interpretable?” EMNLP 2019 “Attention is Not Not Explanation” This article will explore the interpretability of the attention mechanism. Introduction Since Bahdanau introduced Attention as soft alignment in neural machine translation in 2014, a large amount of … Read more
Source: Harbin Institute of Technology SCIR This article is approximately 9300 words long and is recommended for a reading time of 10+ minutes. This article will discuss the interpretability of the attention mechanism. Introduction Since Bahdanau introduced Attention as soft alignment in neural machine translation in 2014, a large number of natural language processing works … Read more