Towards Explainable Deep Neural Networks (xDNN)

5 December 2019

Papers citing "Towards Explainable Deep Neural Networks (xDNN)"

24 / 24 papers shown

Title
Re-Imagining Multimodal Instruction Tuning: A Representation View Yiyang Liu James Liang Ruixiang Tang Yugyung Lee Majid Rabbani ... Raghuveer M. Rao Lifu Huang Dongfang Liu Qifan Wang Cheng Han 135 0 0 02 Mar 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 145 0 0 10 Jan 2025
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification Georgia Sovatzidi Michael D. Vasilakakis D. Iakovidis 17 0 0 07 Aug 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 37 0 0 16 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li Plamen Angelov N. Suri SSL AAML 33 3 0 05 Jul 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 68 2 0 01 Jun 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
Image Translation as Diffusion Visual Programmers Cheng Han James Liang Qifan Wang Majid Rabbani S. Dianat Raghuveer M. Rao Ying Nian Wu Dongfang Liu 29 8 0 18 Jan 2024
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures L. Gherardini Varun Ravi Varma Karol Capała Roger Francis Woods José L. R. Sousa 17 2 0 23 Aug 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 28 1 0 06 Mar 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 34 1 0 17 Feb 2023
Multimodal and Explainable Internet Meme Classification A. Thakur Filip Ilievski Hông-Ân Sandlin Zhivar Sourati Luca Luceri Riccardo Tommasini Alain Mermoud 24 6 0 11 Dec 2022
Reconnoitering the class distinguishing abilities of the features, to know them better Payel Sadhukhan S. Palit Kausik Sengupta 29 0 0 23 Nov 2022
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework Peter E. D. Love J. Matthews Weili Fang Stuart Porter Hanbin Luo L. Ding 38 2 0 12 Nov 2022
An Interpretable Deep Semantic Segmentation Method for Earth Observation Ziyang Zhang Plamen Angelov Eduardo Soares Nicolas Longépé P. Mathieu 30 8 0 23 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 23 4 0 26 Sep 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability Jorge S. S. Júnior Jérôme Mendes F. Souza C. Premebida AI4CE 20 9 0 09 Sep 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability L. Herm Kai Heinrich Jonas Wanner Christian Janiesch 19 84 0 20 Jun 2022
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future Joyjit Chatterjee Nina Dethlefs 26 83 0 30 Mar 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Towards Designing Computer Vision-based Explainable-AI Solution: A Use Case of Livestock Mart Industry Devam Dave Het Naik Smiti Singhal Rudresh Dwivedi Pankesh Patel 17 1 0 08 Feb 2021
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020