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Interpretable Convolutional Neural Networks
v1v2v3v4 (latest)

Interpretable Convolutional Neural Networks

2 October 2017
Quanshi Zhang
Ying Nian Wu
Song-Chun Zhu
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Interpretable Convolutional Neural Networks"

50 / 320 papers shown
LeCoT: revisiting network architecture for two-view correspondence pruning
LeCoT: revisiting network architecture for two-view correspondence pruning
Luanyuan Dai
Xiaoyu Du
Jinhui Tang
3DV3DPC
246
0
0
10 Nov 2025
NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs
NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs
Davorin Miličević
Ratko Grbić
171
0
0
27 Aug 2025
Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection
Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection
Daniel Frees
Moritz Bolling
Aditri Bhagirath
MedIm
268
0
0
25 Aug 2025
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style ConvolutionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Zhiwen Shao
Yifan Cheng
Feiran Li
Yong Zhou
Xuequan Lu
Yuan Xie
Lizhuang Ma
ViT
277
14
0
17 Jun 2025
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural ShapesInternational Journal of Architectural Computing (IJAC), 2025
Jun Yin
Jing Zhong
Pengyu Zeng
Peilin Li
Zixuan Dai
Miao Zhang
Shuai Lu
3DV
209
8
0
14 Jun 2025
ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction
ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction
Zeming Wei
Chengcan Wu
Meng Sun
ELM
282
3
0
02 Jun 2025
Capturing Semantic Flow of ML-based Systems
Capturing Semantic Flow of ML-based Systems
S. Yoo
R. Feldt
Somin Kim
Naryeong Kim
219
1
0
13 Mar 2025
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
Shijie Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
484
63
0
03 Dec 2024
Learning Predictive Checklists with Probabilistic Logic Programming
Learning Predictive Checklists with Probabilistic Logic Programming
Yukti Makhija
E. Brouwer
Rahul G. Krishnan
433
1
0
25 Nov 2024
GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers
GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers
Éloi Zablocki
Valentin Gerard
Amaia Cardiel
Eric Gaussier
Matthieu Cord
Eduardo Valle
549
0
0
23 Nov 2024
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series
  Anomaly Detection
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection
Fabien Poirier
AI4TS
268
0
0
07 Nov 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAIAI4TS
912
142
0
30 Aug 2024
Interpretable breast cancer classification using CNNs on mammographic
  images
Interpretable breast cancer classification using CNNs on mammographic imagesACM Conference on Health, Inference, and Learning (CHIL), 2024
Ann-Kristin Balve
Peter Hendrix
155
9
0
23 Aug 2024
Improving Network Interpretability via Explanation Consistency
  Evaluation
Improving Network Interpretability via Explanation Consistency EvaluationIEEE transactions on multimedia (IEEE TMM), 2024
Hefeng Wu
Hao Jiang
Keze Wang
Ziyi Tang
Xianghuan He
Liang Lin
FAttAAML
347
5
0
08 Aug 2024
META-ANOVA: Screening interactions for interpretable machine learning
META-ANOVA: Screening interactions for interpretable machine learningJournal of the Korean Statistical Society (JKSS), 2024
Daniel A. Serino
Marc L. Klasky
Chanmoo Park
Dongha Kim
Yongdai Kim
302
5
0
02 Aug 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
616
2
0
01 Jul 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule
  Extraction
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction
Yu Chen
Tianyu Cui
Alexander Capstick
Nan Fletcher-Loyd
Payam Barnaghi
314
1
0
25 Jun 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
Kam Woh Ng
Xiatian Zhu
Yi-Zhe Song
Tao Xiang
296
2
0
12 Jun 2024
Length-scale study in deep learning prediction for non-small cell lung
  cancer brain metastasis
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
Haowen Zhou
Steven
S. Lin
Mark Watson
Cory T. Bernadt
Oumeng Zhang
R. Govindan
R. Cote
Changhuei Yang
242
3
0
01 Jun 2024
Post-hoc and manifold explanations analysis of facial expression data
  based on deep learning
Post-hoc and manifold explanations analysis of facial expression data based on deep learning
Yang Xiao
220
0
0
29 Apr 2024
Towards General Conceptual Model Editing via Adversarial Representation
  Engineering
Towards General Conceptual Model Editing via Adversarial Representation Engineering
Yihao Zhang
Zeming Wei
Jun Sun
Meng Sun
KELM
138
4
0
21 Apr 2024
Towards Explaining Hypercomplex Neural Networks
Towards Explaining Hypercomplex Neural Networks
Eleonora Lopez
Eleonora Grassucci
D. Capriotti
Danilo Comminiello
340
6
0
26 Mar 2024
SIMAP: A simplicial-map layer for neural networks
SIMAP: A simplicial-map layer for neural networks
Rocio Gonzalez-Diaz
Miguel A. Gutiérrez-Naranjo
Eduardo Paluzo-Hidalgo
FAtt
139
0
0
22 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional
  Image Classifiers
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
Francesco Dibitonto
Fabio Garcea
Andre' Panisson
Alan Perotti
Lia Morra
AAML
304
0
0
13 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
465
2
0
06 Mar 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability
  Detection Systems
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection SystemsInternational Conference on Software Engineering (ICSE), 2024
Sicong Cao
Xiaobing Sun
Xiaoxue Wu
David Lo
Lili Bo
Bin Li
Wei Liu
AAML
301
47
0
26 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods
Path Choice Matters for Clear Attribution in Path Methods
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
253
4
0
19 Jan 2024
Model-Agnostic Interpretation Framework in Machine Learning: A
  Comparative Study in NBA Sports
Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports
Shun Liu
302
0
0
05 Jan 2024
Q-SENN: Quantized Self-Explaining Neural Networks
Q-SENN: Quantized Self-Explaining Neural Networks
Thomas Norrenbrock
Marco Rudolph
Bodo Rosenhahn
FAttAAMLMILM
374
17
0
21 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey
Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta
Gabriele Ciravegna
Eliana Pastor
Tania Cerquitelli
Elena Baralis
LRMXAI
392
106
0
20 Dec 2023
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
Maurice Günder
Sneha Banerjee
R. Sifa
Christian Bauckhage
FAtt
228
0
0
27 Nov 2023
Explainable AI for Earth Observation: Current Methods, Open Challenges,
  and Opportunities
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities
G. Taşkın
E. Aptoula
Alp Ertürk
317
9
0
08 Nov 2023
Automated Natural Language Explanation of Deep Visual Neurons with Large
  Models
Automated Natural Language Explanation of Deep Visual Neurons with Large ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Chenxu Zhao
Wei Qian
Yucheng Shi
Mengdi Huai
Ninghao Liu
184
5
0
16 Oct 2023
Learning Transferable Conceptual Prototypes for Interpretable
  Unsupervised Domain Adaptation
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2023
Junyu Gao
Xinhong Ma
Changsheng Xu
371
18
0
12 Oct 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box
  Approach
Text-to-Image Models for Counterfactual Explanations: a Black-Box ApproachIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Guillaume Jeanneret
Loïc Simon
Frédéric Jurie
DiffM
432
29
0
14 Sep 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
719
14
0
14 Sep 2023
A Strong and Simple Deep Learning Baseline for BCI MI Decoding
A Strong and Simple Deep Learning Baseline for BCI MI Decoding
Yassine El Ouahidi
Vincent Gripon
Bastien Pasdeloup
Ghaith Bouallegue
Nicolas Farrugia
G. Lioi
BDL
294
8
0
11 Sep 2023
Disentanglement Learning via Topology
Disentanglement Learning via TopologyInternational Conference on Machine Learning (ICML), 2023
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
572
4
0
24 Aug 2023
Improving Generalization of Image Captioning with Unsupervised Prompt
  Learning
Improving Generalization of Image Captioning with Unsupervised Prompt Learning
Hongchen Wei
Zhenzhong Chen
VLM
210
4
0
05 Aug 2023
TbExplain: A Text-based Explanation Method for Scene Classification
  Models with the Statistical Prediction Correction
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction
Amirhossein Aminimehr
Pouya Khani
Amir Molaei
Amirmohammad Kazemeini
Xiaoshi Zhong
FAtt
354
5
0
19 Jul 2023
Single-Class Target-Specific Attack against Interpretable Deep Learning
  Systems
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems
Eldor Abdukhamidov
Mohammed Abuhamad
George K. Thiruvathukal
Hyoungshick Kim
Tamer Abuhmed
AAML
265
2
0
12 Jul 2023
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature
  Matching
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature MatchingIEEE Transactions on Image Processing (IEEE TIP), 2023
Khang Truong Giang
Soohwan Song
Sung-Guk Jo
320
13
0
02 Jul 2023
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D
  Point Clouds via Signature Shape Identification
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
Diogo Mateus Lavado
Cláudia Soares
Alessandra Micheletti
Giovanni Bocchi
Alex Coronati
Manuel F. Silva
Patrizio Frosini
3DPC
353
3
0
13 Jun 2023
Adversarial Attacks on the Interpretation of Neuron Activation
  Maximization
Adversarial Attacks on the Interpretation of Neuron Activation MaximizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Géraldin Nanfack
A. Fulleringer
Jonathan Marty
Michael Eickenberg
Eugene Belilovsky
AAMLFAtt
318
13
0
12 Jun 2023
Two-Stage Holistic and Contrastive Explanation of Image Classification
Two-Stage Holistic and Contrastive Explanation of Image ClassificationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Weiyan Xie
Xiao-hui Li
Zhi Lin
Leonard K. M. Poon
Caleb Chen Cao
Ningyu Zhang
209
5
0
10 Jun 2023
Designing explainable artificial intelligence with active inference: A
  framework for transparent introspection and decision-making
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-makingInternational Workshop on Affective Interactions (IWAI), 2023
Mahault Albarracin
Ines Hipólito
Safae Essafi Tremblay
Jason G. Fox
Gabriel René
Karl J. Friston
M. Ramstead
319
15
0
06 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case
  Studies on Brand Recognition
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand RecognitionDesign Automation Conference (DAC), 2023
Yu-hsuan Chen
Levent Burak Kara
Jonathan Cagan
266
6
0
05 Jun 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural
  Networks
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
Hamed Behzadi-Khormouji
José Oramas
202
0
0
17 May 2023
Towards the Characterization of Representations Learned via
  Capsule-based Network Architectures
Towards the Characterization of Representations Learned via Capsule-based Network ArchitecturesNeurocomputing (Neurocomputing), 2023
Saja AL-Tawalbeh
José Oramas
247
3
0
09 May 2023
Feature Chirality in Deep Learning Models
Feature Chirality in Deep Learning Models
Shipeng Ji
Yang Li
Ruizhi Fu
Jiabao Wang
Zhuang Miao
SSL
202
0
0
06 May 2023
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