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1704.05796
Cited By
Network Dissection: Quantifying Interpretability of Deep Visual Representations
19 April 2017
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
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Papers citing
"Network Dissection: Quantifying Interpretability of Deep Visual Representations"
50 / 842 papers shown
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
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D. Finkbeiner
149
23
0
22 Apr 2021
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
Pooja Prajod
Dominik Schiller
Tobias Huber
Elisabeth André
CVBM
166
9
0
15 Apr 2021
An Interpretability Illusion for BERT
Tolga Bolukbasi
Adam Pearce
Ann Yuan
Andy Coenen
Emily Reif
Fernanda Viégas
Martin Wattenberg
MILM
FAtt
222
93
0
14 Apr 2021
Automatic Correction of Internal Units in Generative Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2021
A. Tousi
Haedong Jeong
Jiyeon Han
Hwanil Choi
Jaesik Choi
GAN
130
11
0
13 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xi Ye
Rohan Nair
Greg Durrett
241
28
0
09 Apr 2021
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features
Data mining and knowledge discovery (DMKD), 2021
Suryabhan Singh Hada
Miguel Á. Carreira-Perpiñán
Arman Zharmagambetov
203
19
0
07 Apr 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors
J. Pfau
A. Young
Jerome Wei
Maria L. Wei
Michael J. Keiser
FAtt
116
15
0
06 Apr 2021
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images
Mohammad Saeed Rad
Thomas Yu
Behzad Bozorgtabar
Jean-Philippe Thiran
205
4
0
06 Apr 2021
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation
Proceedings of the VLDB Endowment (PVLDB), 2021
Dong He
Maureen Daum
Walter Cai
Magdalena Balazinska
HAI
250
6
0
06 Apr 2021
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Ashkan Khakzar
Sabrina Musatian
Jonas Buchberger
Icxel Valeriano Quiroz
Nikolaus Pinger
Soroosh Baselizadeh
Seong Tae Kim
Nassir Navab
159
13
0
04 Apr 2021
Estimating the Generalization in Deep Neural Networks via Sparsity
Yang Zhao
Hao Zhang
208
2
0
02 Apr 2021
Memorability: An image-computable measure of information utility
Zoya Bylinskii
L. Goetschalckx
Anelise Newman
A. Oliva
HAI
125
27
0
01 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways
Computer Vision and Pattern Recognition (CVPR), 2021
Ashkan Khakzar
Soroosh Baselizadeh
Saurabh Khanduja
Christian Rupprecht
Seong Tae Kim
Nassir Navab
123
41
0
31 Mar 2021
MISA: Online Defense of Trojaned Models using Misattributions
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2021
Panagiota Kiourti
Wenchao Li
Anirban Roy
Karan Sikka
Susmit Jha
253
10
0
29 Mar 2021
FocusedDropout for Convolutional Neural Network
Applied Sciences (AS), 2021
Tianshu Xie
Minghui Liu
Jiali Deng
Xuan Cheng
Xiaomin Wang
Meilin Liu
155
10
0
29 Mar 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
IEEE International Conference on Computer Vision (ICCV), 2021
Wei Gao
Fang Wan
Xingjia Pan
Zhiliang Peng
Qi Tian
Zhenjun Han
Bolei Zhou
QiXiang Ye
ViT
WSOL
496
244
0
27 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
Yi Sun
Abel N. Valente
Sijia Liu
Dakuo Wang
AAML
173
7
0
25 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
SSL
151
6
0
19 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Knowledge and Information Systems (KAIS), 2021
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAML
FaML
XAI
HAI
291
439
0
19 Mar 2021
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation
International Conference on Learning Representations (ICLR), 2021
Yang Zhao
Hao Zhang
239
8
0
17 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Yingqi Liu
Guangyu Shen
Guanhong Tao
Zhenting Wang
Shiqing Ma
Xinming Zhang
AAML
225
8
0
16 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs
International Conference on Learning Representations (ICLR), 2021
Simon Carbonnelle
Christophe De Vleeschouwer
167
9
0
11 Mar 2021
Explainable Person Re-Identification with Attribute-guided Metric Distillation
IEEE International Conference on Computer Vision (ICCV), 2021
Xiaodong Chen
Xinchen Liu
Wu Liu
Xiaoping Zhang
Yongdong Zhang
Tao Mei
310
57
0
02 Mar 2021
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
Xuehao Liu
Sarah Jane Delany
Susan Mckeever
48
0
0
22 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
International Conference on Human Factors in Computing Systems (CHI), 2021
A. Ross
Nina Chen
Elisa Zhao Hang
Elena L. Glassman
Finale Doshi-Velez
298
53
0
02 Feb 2021
The Mind's Eye: Visualizing Class-Agnostic Features of CNNs
International Conference on Information Photonics (ICIP), 2021
Alexandros Stergiou
FAtt
127
4
0
29 Jan 2021
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
International Journal of Computer Vision (IJCV), 2021
Md. Amirul Islam
M. Kowal
Sen Jia
Konstantinos G. Derpanis
Neil D. B. Bruce
230
68
0
28 Jan 2021
Shape or Texture: Understanding Discriminative Features in CNNs
International Conference on Learning Representations (ICLR), 2021
Md. Amirul Islam
M. Kowal
Patrick Esser
Sen Jia
Bjorn Ommer
Konstantinos G. Derpanis
Neil D. B. Bruce
170
85
0
27 Jan 2021
Generating Attribution Maps with Disentangled Masked Backpropagation
IEEE International Conference on Computer Vision (ICCV), 2021
Adria Ruiz
Antonio Agudo
Francesc Moreno
FAtt
172
3
0
17 Jan 2021
Towards interpreting ML-based automated malware detection models: a survey
Yuzhou Lin
Xiaolin Chang
296
8
0
15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges
International Journal of Computer Vision (IJCV), 2021
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
481
206
0
13 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
320
128
0
11 Jan 2021
Comprehensible Convolutional Neural Networks via Guided Concept Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Sandareka Wickramanayake
Wynne Hsu
Yang Deng
SSL
171
29
0
11 Jan 2021
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
D. David
Yehezkel S. Resheff
Talia Tron
177
32
0
05 Jan 2021
A Survey on Neural Network Interpretability
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Yu Zhang
Peter Tiño
A. Leonardis
Shengcai Liu
FaML
XAI
567
828
0
28 Dec 2020
TransPose: Keypoint Localization via Transformer
IEEE International Conference on Computer Vision (ICCV), 2020
Sen Yang
Zhibin Quan
Mu Nie
Wankou Yang
ViT
570
333
0
28 Dec 2020
Analyzing Representations inside Convolutional Neural Networks
Uday Singh Saini
Evangelos E. Papalexakis
FAtt
78
2
0
23 Dec 2020
Image Translation via Fine-grained Knowledge Transfer
Xuanhong Chen
Ziang Liu
Ting Qiu
Bingbing Ni
Naiyuan Liu
Xiwei Hu
Yuhan Li
109
0
0
21 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey
Giang Dao
Minwoo Lee
FaML
FAtt
247
1
0
13 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?
Thomas P. Quinn
Stephan Jacobs
M. Senadeera
Vuong Le
S. Coghlan
126
141
0
10 Dec 2020
Influence-Driven Explanations for Bayesian Network Classifiers
Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2020
Antonio Rago
Emanuele Albini
P. Baroni
Francesca Toni
259
9
0
10 Dec 2020
Deep Argumentative Explanations
Emanuele Albini
Piyawat Lertvittayakumjorn
Antonio Rago
Francesca Toni
AAML
248
6
0
10 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning
International Conference on Human Factors in Computing Systems (CHI), 2020
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
371
20
0
10 Dec 2020
A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation
Jason R. Wilson
Leilani H. Gilpin
Irina Rabkina
124
4
0
05 Dec 2020
Detecting Trojaned DNNs Using Counterfactual Attributions
International Conference on Applied Algorithms (ICAA), 2020
Karan Sikka
Indranil Sur
Susmit Jha
Anirban Roy
Ajay Divakaran
AAML
158
13
0
03 Dec 2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
Adriano Lucieri
Muhammad Naseer Bajwa
Andreas Dengel
Sheraz Ahmed
299
15
0
26 Nov 2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
Computer Vision and Pattern Recognition (CVPR), 2020
Zongze Wu
Dani Lischinski
Eli Shechtman
DRL
385
517
0
25 Nov 2020
Interpretable Visual Reasoning via Induced Symbolic Space
IEEE International Conference on Computer Vision (ICCV), 2020
Zhonghao Wang
Kai Wang
Mo Yu
Jinjun Xiong
Wen-mei W. Hwu
M. Hasegawa-Johnson
Humphrey Shi
LRM
OCL
222
21
0
23 Nov 2020
Learning Class Unique Features in Fine-Grained Visual Classification
Runkai Zheng
Zhijia Yu
Yinqi Zhang
C. Ding
Hei Victor Cheng
Li Liu
133
0
0
22 Nov 2020
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
Yunfan Liu
Qi Li
Zhenan Sun
Tieniu Tan
156
20
0
19 Nov 2020
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