Improving Interpretability of Deep Neural Networks with Semantic
Information

Improving Interpretability of Deep Neural Networks with Semantic Information

12 March 2017

Yinpeng Dong

Hang Su

Jun Zhu

Papers citing "Improving Interpretability of Deep Neural Networks with Semantic Information"

8 / 8 papers shown

Title
Leveraging Causal Inference for Explainable Automatic Program Repair Jianzong Wang Shijing Si Z. Zhu Xiaoyang Qu Zhenhou Hong Jing Xiao 16 3 0 26 May 2022
NeuroView-RNN: It's About Time C. Barberan Sina Alemohammad Naiming Liu Randall Balestriero Richard G. Baraniuk AI4TS HAI 35 2 0 23 Feb 2022
SUPER: A Novel Lane Detection System Pingping Lu Chen Cui Shaobing Xu H. Peng Fan Wang 14 43 0 14 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 28 125 0 15 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,109 0 22 Oct 2019
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017