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1802.00121
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Interpreting CNNs via Decision Trees
1 February 2018
Quanshi Zhang
Yu Yang
Ying Nian Wu
Song-Chun Zhu
FAtt
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Papers citing
"Interpreting CNNs via Decision Trees"
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Title
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Philip Torr
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23 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
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Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
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20 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
59
0
0
19 Jan 2022
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems
Devleena Das
Been Kim
Sonia Chernova
63
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11 Jan 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
Xiangli Yang
Yun Lin
Ruofan Liu
Zhenfeng He
Chao Wang
Jinlong Dong
Hong Mei
29
5
0
31 Dec 2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
94
137
0
21 Dec 2021
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift
Amitangshu Mukherjee
Isha Garg
Kaushik Roy
31
6
0
20 Dec 2021
Decomposing the Deep: Finding Class Specific Filters in Deep CNNs
Akshay Badola
Cherian Roy
V. Padmanabhan
R. Lal
FAtt
55
2
0
14 Dec 2021
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Leilei Gan
Lanfen Lin
Kun Kuang
FedML
115
23
0
13 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
211
382
0
04 Oct 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun Reddy Akula
Keze Wang
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
104
49
0
03 Sep 2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
Xuhong Li
Haoyi Xiong
Siyu Huang
Shilei Ji
Dejing Dou
58
10
0
02 Sep 2021
Neural-to-Tree Policy Distillation with Policy Improvement Criterion
Zhaorong Li
Yang Yu
Yingfeng Chen
Ke Chen
Zhipeng Hu
Changjie Fan
33
5
0
16 Aug 2021
Finding Representative Interpretations on Convolutional Neural Networks
P. C. Lam
Lingyang Chu
Maxim Torgonskiy
J. Pei
Yong Zhang
Lanjun Wang
FAtt
SSL
HAI
70
6
0
13 Aug 2021
Towards Interpretable Deep Metric Learning with Structural Matching
Wenliang Zhao
Yongming Rao
Ziyi Wang
Jiwen Lu
Jie Zhou
FedML
68
47
0
12 Aug 2021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
Zhenge Zhao
Panpan Xu
C. Scheidegger
Liu Ren
46
39
0
08 Aug 2021
SONG: Self-Organizing Neural Graphs
Lukasz Struski
Tomasz Danel
Marek Śmieja
Jacek Tabor
Bartosz Zieliñski
19
1
0
28 Jul 2021
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
Yuhao Niu
Lin Gu
Yitian Zhao
Feng Lu
MedIm
61
58
0
01 Jul 2021
Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning
Yilin Wang
Shaozuo Yu
Xiaokang Yang
Wei Shen
33
1
0
05 Jun 2021
Explainable Activity Recognition for Smart Home Systems
Devleena Das
Yasutaka Nishimura
R. Vivek
Naoto Takeda
Sean T. Fish
Thomas Ploetz
Sonia Chernova
45
43
0
20 May 2021
On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa
A. Zbrzezny
Rhiannon Michelmore
Nicola Paoletti
Marta Z. Kwiatkowska
FAtt
77
48
0
08 May 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors
J. Pfau
A. Young
Jerome Wei
Maria L. Wei
Michael J. Keiser
FAtt
58
15
0
06 Apr 2021
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAtt
OOD
51
1
0
05 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAML
FaML
XAI
HAI
82
341
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19 Mar 2021
Explainable Person Re-Identification with Attribute-guided Metric Distillation
Xiaodong Chen
Xinchen Liu
Wu Liu
Xiaoping Zhang
Yongdong Zhang
Tao Mei
108
47
0
02 Mar 2021
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Jiebin Yan
Yu Zhong
Yuming Fang
Zhangyang Wang
Kede Ma
UQCV
79
18
0
27 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Ghassan Hamarneh
109
26
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04 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
Atefeh Shahroudnejad
FaML
AAML
AI4CE
XAI
119
36
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02 Feb 2021
Comprehensible Convolutional Neural Networks via Guided Concept Learning
Sandareka Wickramanayake
Wynne Hsu
Mong Li Lee
SSL
52
25
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11 Jan 2021
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
Devleena Das
Siddhartha Banerjee
Sonia Chernova
98
116
0
05 Jan 2021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Meike Nauta
Ron van Bree
C. Seifert
190
270
0
03 Dec 2020
Interpretable Visual Reasoning via Induced Symbolic Space
Zhonghao Wang
Kai Wang
Mo Yu
Jinjun Xiong
Wen-mei W. Hwu
M. Hasegawa-Johnson
Humphrey Shi
LRM
OCL
56
20
0
23 Nov 2020
Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery
Devleena Das
Siddhartha Banerjee
Sonia Chernova
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51
6
0
18 Nov 2020
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
Jianyi Yang
Shaolei Ren
FAtt
FaML
45
5
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17 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
Bao-Gang Hu
Hanbing Qu
AI4CE
105
1
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ERIC: Extracting Relations Inferred from Convolutions
Joe Townsend
Theodoros Kasioumis
Hiroya Inakoshi
NAI
FAtt
77
16
0
19 Oct 2020
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
Boris Kovalerchuk
M. Ahmad
University of Washington Tacoma
58
42
0
21 Sep 2020
Contextual Semantic Interpretability
Diego Marcos
Ruth C. Fong
Sylvain Lobry
Rémi Flamary
Nicolas Courty
D. Tuia
SSL
122
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0
18 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Liangzhi Li
Bowen Wang
Manisha Verma
Yuta Nakashima
R. Kawasaki
Hajime Nagahara
OCL
84
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0
14 Sep 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyun Liang
Zhihao Ouyang
Yuyuan Zeng
Hang Su
Zihao He
Shutao Xia
Jun Zhu
Bo Zhang
92
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0
16 Jul 2020
Learning a functional control for high-frequency finance
Laura Leal
Mathieu Laurière
Charles-Albert Lehalle
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59
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SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
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102
6
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11 Jun 2020
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone
Luca Longo
XAI
110
271
0
29 May 2020
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Ziqiang Li
Rentuo Tao
Hongjing Niu
Bin Li
GAN
38
4
0
23 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
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111
379
0
30 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Helen Zhou
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23 Apr 2020
Dendrite Net: A White-Box Module for Classification, Regression, and System Identification
Gang Liu
Junchang Wang
70
62
0
08 Apr 2020
NBDT: Neural-Backed Decision Trees
Alvin Wan
Lisa Dunlap
Daniel Ho
Jihan Yin
Scott Lee
Henry Jin
Suzanne Petryk
Sarah Adel Bargal
Joseph E. Gonzalez
68
105
0
01 Apr 2020
Architecture Disentanglement for Deep Neural Networks
Jie Hu
Liujuan Cao
QiXiang Ye
Tong Tong
Shengchuan Zhang
Ke Li
Feiyue Huang
Rongrong Ji
Ling Shao
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88
18
0
30 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CML
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XAI
98
221
0
09 Mar 2020
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