Papers citing 'Learning with Interpretable Structure from Gated RNN'

Title
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated TextBigData Congress [Services Society] (BSS), 2024 Weiqing He Bojian Hou Tianqi Shang Davoud Ataee Tarzanagh Qi Long Li Shen DeLMO 259 3 0 17 Nov 2024
Unlocking the Power of LSTM for Long Term Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2024 Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 186 46 0 19 Aug 2024
On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth Edi Muškardin Martin Tappler Ingo Pill B. Aichernig Thomas Pock 105 0 0 29 Jun 2023
Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks Zeming Wei Xiyue Zhang Yihao Zhang Meng Sun 163 14 0 24 Jun 2023
Deep Clustering Survival Machines with Interpretable Expert DistributionsIEEE International Symposium on Biomedical Imaging (ISBI), 2023 Bo-Jian Hou Hongming Li Zhicheng Jiao Zhen Zhou Hao Zheng Yong-Xian Fan 218 5 0 27 Jan 2023
A Theoretical Framework for AI Models Explainability with Application in BiomedicineIEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022 Matteo Rizzo Alberto Veneri A. Albarelli Claudio Lucchese Marco Nobile Cristina Conati XAI 246 11 0 29 Dec 2022
On the Explainability of Natural Language Processing Deep ModelsACM Computing Surveys (ACM CSUR), 2022 Julia El Zini M. Awad 220 105 0 13 Oct 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language TransformersComputer Vision and Pattern Recognition (CVPR), 2022 Estelle Aflalo Meng Du Shao-Yen Tseng Yongfei Liu Chenfei Wu Nan Duan Vasudev Lal 185 55 0 30 Mar 2022
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic Yulin Chen Beishui Liao Bruno Bentzen Bo Yuan Zelai Yao Haixiao Chi D. Gabbay 152 1 0 24 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AIACM Computing Surveys (ACM CSUR), 2022 Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 523 546 0 20 Jan 2022
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 167 2 0 05 Apr 2021
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring Gege Zhang 79 0 0 16 Dec 2020
MEME: Generating RNN Model Explanations via Model Extraction Dmitry Kazhdan B. Dimanov M. Jamnik Pietro Lio LRM 137 14 0 13 Dec 2020
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization Chaojie Ji Yijia Zheng Ruxin Wang Yunpeng Cai Hongyan Wu 219 21 0 14 Aug 2020
Explainable Deep Learning: A Field Guide for the UninitiatedJournal of Artificial Intelligence Research (JAIR), 2020 Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 354 415 0 30 Apr 2020
Assessing the Memory Ability of Recurrent Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2020 Cheng Zhang Qiuchi Li L. Hua D. Song 109 6 0 18 Feb 2020
On a Sparse Shortcut Topology of Artificial Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2018 Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 283 24 0 22 Nov 2018