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Interpretable Convolutional Neural Networks

2 October 2017

Papers citing "Interpretable Convolutional Neural Networks"

50 / 314 papers shown

Title
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Zhiwen Shao Yifan Cheng Feiran Li Yong Zhou Xuequan Lu Yuan Xie Lizhuang Ma ViT 22 0 0 17 Jun 2025
ReGA: Representation-Guided Abstraction for Model-based Safeguarding of LLMs Zeming Wei Chengcan Wu Meng Sun 52 0 0 02 Jun 2025
Capturing Semantic Flow of ML-based Systems S. Yoo R. Feldt Somin Kim Naryeong Kim 78 0 0 13 Mar 2025
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 170 22 0 03 Dec 2024
Learning Predictive Checklists with Probabilistic Logic Programming Yukti Makhija E. Brouwer Rahul G. Krishnan 142 0 0 25 Nov 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 153 0 0 23 Nov 2024
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection Fabien Poirier AI4TS 36 0 0 07 Nov 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 303 37 0 30 Aug 2024
Interpretable breast cancer classification using CNNs on mammographic images Ann-Kristin Balve Peter Hendrix 27 2 0 23 Aug 2024
Improving Network Interpretability via Explanation Consistency Evaluation Hefeng Wu Hao Jiang Keze Wang Ziyi Tang Xianghuan He Liang Lin FAtt AAML 95 0 0 08 Aug 2024
META-ANOVA: Screening interactions for interpretable machine learning Daniel A. Serino Marc L. Klasky Chanmoo Park Dongha Kim Yongdai Kim 72 0 0 02 Aug 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 162 1 0 01 Jul 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction Yu Chen Tianyu Cui Alexander Capstick Nan Fletcher-Loyd Payam Barnaghi 71 0 0 25 Jun 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery Kam Woh Ng Xiatian Zhu Yi-Zhe Song Tao Xiang 84 2 0 12 Jun 2024
Post-hoc and manifold explanations analysis of facial expression data based on deep learning Yang Xiao 60 0 0 29 Apr 2024
Towards Explaining Hypercomplex Neural Networks Eleonora Lopez Eleonora Grassucci D. Capriotti Danilo Comminiello 101 3 0 26 Mar 2024
SIMAP: A simplicial-map layer for neural networks Rocio Gonzalez-Diaz Miguel A. Gutiérrez-Naranjo Eduardo Paluzo-Hidalgo FAtt 26 0 0 22 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers Francesco Dibitonto Fabio Garcea Andre' Panisson Alan Perotti Lia Morra AAML 52 0 0 13 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 151 1 0 06 Mar 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 63 16 0 26 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 75 2 0 19 Jan 2024
Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports Shun Liu 63 0 0 05 Jan 2024
Q-SENN: Quantized Self-Explaining Neural Networks Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt AAML MILM 100 7 0 21 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 104 56 0 20 Dec 2023
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Maurice Günder Sneha Banerjee R. Sifa Christian Bauckhage FAtt 35 0 0 27 Nov 2023
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities G. Taşkın E. Aptoula Alp Ertürk 60 2 0 08 Nov 2023
Automated Natural Language Explanation of Deep Visual Neurons with Large Models Chenxu Zhao Wei Qian Yucheng Shi Mengdi Huai Ninghao Liu 44 3 0 16 Oct 2023
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation Junyu Gao Xinhong Ma Changsheng Xu 105 5 0 12 Oct 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 95 13 0 14 Sep 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 271 8 0 14 Sep 2023
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 76 4 0 11 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 152 3 0 24 Aug 2023
Improving Generalization of Image Captioning with Unsupervised Prompt Learning Hongchen Wei Zhenzhong Chen VLM 77 3 0 05 Aug 2023
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction Amirhossein Aminimehr Pouya Khani Amir Molaei Amirmohammad Kazemeini Min Zhang FAtt 82 5 0 19 Jul 2023
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad George K. Thiruvathukal Hyoungshick Kim Tamer Abuhmed AAML 50 2 0 12 Jul 2023
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching Khang Truong Giang Soohwan Song Sung-Guk Jo 90 4 0 02 Jul 2023
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 102 2 0 13 Jun 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 69 11 0 12 Jun 2023
Two-Stage Holistic and Contrastive Explanation of Image Classification Weiyan Xie Xiao-hui Li Zhi Lin Leonard K. M. Poon Caleb Chen Cao N. Zhang 62 3 0 10 Jun 2023
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making Mahault Albarracin Ines Hipólito Safae Essafi Tremblay Jason G. Fox Gabriel René Karl J. Friston M. Ramstead 71 11 0 06 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition Yu-hsuan Chen Levent Burak Kara Jonathan Cagan 78 3 0 05 Jun 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 38 0 0 17 May 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 57 1 0 09 May 2023
Feature Chirality in Deep Learning Models Shipeng Ji Yang Li Ruizhi Fu Jiabao Wang Zhuang Miao SSL 85 0 0 06 May 2023
DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches Yuwen Heng S. Dasmahapatra Hansung Kim 112 1 0 06 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 103 33 0 30 Apr 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade FAtt 78 9 0 28 Apr 2023
Interpretable and Robust AI in EEG Systems: A Survey Xin-qiu Zhou Chenyu Liu Liming Zhai Ziyu Jia Cuntai Guan Yang Liu AAML 123 22 0 21 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 60 41 0 20 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 61 21 0 26 Mar 2023