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Interpreting CNNs via Decision Trees

1 February 2018

Papers citing "Interpreting CNNs via Decision Trees"

50 / 134 papers shown

Title
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions Tue Cao Nhat X. Hoang Hieu H. Pham P. Nguyen My T. Thai 229 1 0 22 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 137 2 0 14 Feb 2025
Compact Rule-Based Classifier Learning via Gradient Descent Javier Fumanal-Idocin Raquel Fernandez-Peralta Javier Andreu-Perez 98 0 0 03 Feb 2025
Explainable AI Approach using Near Misses Analysis Eran Kaufman Avivit levy 80 0 0 25 Nov 2024
Revisiting the Role of Texture in 3D Person Re-identification Huy Nguyen Kien Nguyen Akila Pemasiri Sridha Sridharan Clinton Fookes 56 0 0 01 Oct 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
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 87 3 0 16 Jul 2024
A Theory of Interpretable Approximations Marco Bressan Nicolò Cesa-Bianchi Emmanuel Esposito Yishay Mansour Shay Moran Maximilian Thiessen FAtt 88 5 0 15 Jun 2024
Mechanistic Interpretability for AI Safety -- A Review Leonard Bereska E. Gavves AI4CE 135 158 0 22 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu 62 3 0 13 Apr 2024
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models Gabriela Ben-Melech Stan Estelle Aflalo R. Y. Rohekar Anahita Bhiwandiwalla Shao-Yen Tseng Matthew Lyle Olson Yaniv Gurwicz Chenfei Wu Nan Duan Vasudev Lal 149 9 0 03 Apr 2024
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models M. Kowal Richard P. Wildes Konstantinos G. Derpanis GNN 104 8 0 02 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 241 6 0 18 Mar 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 136 9 0 09 Jan 2024
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Maurice Günder Sneha Banerjee R. Sifa Christian Bauckhage FAtt 35 0 0 27 Nov 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 68 4 0 27 Oct 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 73 1 0 23 Sep 2023
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs Hector Kohler R. Akrour Philippe Preux OffRL 74 1 0 23 Sep 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 81 34 0 11 Aug 2023
Scale-Preserving Automatic Concept Extraction (SPACE) Andres Felipe Posada-Moreno Lukas Kreisköther T. Glander Sebastian Trimpe 44 1 0 11 Aug 2023
Redundancy-aware Transformer for Video Question Answering Yicong Li Xun Yang An Zhang Chun Feng Xiang Wang Tat-Seng Chua 72 16 0 07 Aug 2023
Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction Yinzhu Jin Jonathan C. Garneau P. T. Fletcher FAtt MedIm 31 1 0 24 Jul 2023
Discovering Spatio-Temporal Rationales for Video Question Answering Yicong Li Junbin Xiao Chun Feng Xiang Wang Tat-Seng Chua 100 13 0 22 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
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 38 0 0 17 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 103 33 0 30 Apr 2023
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning Hector Kohler R. Akrour Philippe Preux OffRL 46 0 0 11 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 95 39 0 08 Apr 2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps Angelos Chatzimparmpas Rafael M. Martins A. Telea Andreas Kerren 56 3 0 31 Mar 2023
Aerial-Ground Person Re-ID Huy Nguyen Kien Nguyen Sridha Sridharan Clinton Fookes 101 14 0 15 Mar 2023
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network Weiquan Liu Minghao Liu Shijun Zheng Cheng-i Wang 3DPC 48 3 0 12 Mar 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 74 7 0 10 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 106 63 0 01 Feb 2023
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 65 5 0 07 Dec 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 169 4 0 28 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 107 22 0 25 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 51 6 0 19 Nov 2022
Interpreting Neural Policies with Disentangled Tree Representations Tsun-Hsuan Wang Wei Xiao Tim Seyde Ramin Hasani Daniela Rus DRL 111 2 0 13 Oct 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 100 6 0 07 Sep 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 107 56 0 22 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 79 3 0 18 Aug 2022
E Pluribus Unum Interpretable Convolutional Neural Networks George Dimas Eirini Cholopoulou D. Iakovidis 66 3 0 10 Aug 2022
Explaining Deepfake Detection by Analysing Image Matching S. Dong Jin Wang Jiajun Liang Haoqiang Fan Renhe Ji 64 52 0 20 Jul 2022
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching Khang Truong Giang Soohwan Song Sung-Guk Jo 66 42 0 01 Jul 2022
Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development Yuntian Chen Dong-juan Zhang Qun Zhao D. Liu 23 6 0 20 Jun 2022
Explaining Neural Networks without Access to Training Data Sascha Marton Stefan Lüdtke Christian Bartelt Andrej Tschalzev Heiner Stuckenschmidt FAtt 35 3 0 10 Jun 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 61 3 0 16 Apr 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers Estelle Aflalo Meng Du Shao-Yen Tseng Yongfei Liu Chenfei Wu Nan Duan Vasudev Lal 77 47 0 30 Mar 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 64 19 0 27 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks Mohammad Mahdi Dehshibi Mona Ashtari-Majlan Gereziher W. Adhane David Masip AAML FAtt 45 3 0 02 Mar 2022