Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1810.10708
Cited By
v1
v2 (latest)
Learning with Interpretable Structure from Gated RNN
25 October 2018
Bo-Jian Hou
Zhi Zhou
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning with Interpretable Structure from Gated RNN"
17 / 17 papers shown
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text
BigData Congress [Services Society] (BSS), 2024
Weiqing He
Bojian Hou
Tianqi Shang
Davoud Ataee Tarzanagh
Qi Long
Li Shen
DeLMO
315
4
0
17 Nov 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yaxuan Kong
Zepu Wang
Yuqi Nie
Tian Zhou
Stefan Zohren
Yuxuan Liang
Peng Sun
Qingsong Wen
AI4TS
207
49
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
121
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
211
14
0
24 Jun 2023
Deep Clustering Survival Machines with Interpretable Expert Distributions
IEEE 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 Biomedicine
IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022
Matteo Rizzo
Alberto Veneri
A. Albarelli
Claudio Lucchese
Marco Nobile
Cristina Conati
XAI
262
13
0
29 Dec 2022
On the Explainability of Natural Language Processing Deep Models
ACM Computing Surveys (ACM CSUR), 2022
Julia El Zini
M. Awad
244
110
0
13 Oct 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
Computer Vision and Pattern Recognition (CVPR), 2022
Estelle Aflalo
Meng Du
Shao-Yen Tseng
Yongfei Liu
Chenfei Wu
Nan Duan
Vasudev Lal
190
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
174
1
0
24 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM 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
611
561
0
20 Jan 2022
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAtt
OOD
193
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
80
0
0
16 Dec 2020
MEME: Generating RNN Model Explanations via Model Extraction
Dmitry Kazhdan
B. Dimanov
M. Jamnik
Pietro Lio
LRM
157
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
288
21
0
14 Aug 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Journal of Artificial Intelligence Research (JAIR), 2020
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
440
417
0
30 Apr 2020
Assessing the Memory Ability of Recurrent Neural Networks
European Conference on Artificial Intelligence (ECAI), 2020
Cheng Zhang
Qiuchi Li
L. Hua
D. Song
113
6
0
18 Feb 2020
On a Sparse Shortcut Topology of Artificial Neural Networks
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2018
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
381
24
0
22 Nov 2018
1
