v1v2 (latest)

Visual Interpretability for Deep Learning: a Survey

2 February 2018

Papers citing "Visual Interpretability for Deep Learning: a Survey"

50 / 258 papers shown

Title
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis Nabil Ibtehaz M. Chowdhury Amith Khandakar S. Zughaier S. Kiranyaz Mohammad Sohel Rahman 39 25 0 20 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 175 422 0 20 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 97 9 0 17 Jan 2022
COIN: Counterfactual Image Generation for VQA Interpretation Zeyd Boukhers Timo Hartmann Jan Jurjens 44 7 0 10 Jan 2022
Negative Evidence Matters in Interpretable Histology Image Classification Soufiane Belharbi M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger 107 12 0 07 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 87 65 0 28 Dec 2021
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays Benjamin Bergner Csaba Rohrer Aiham Taleb Martha Duchrau Guilherme De Leon J. A. Rodrigues F. Schwendicke J. Krois C. Lippert 37 1 0 17 Dec 2021
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey Xun Chen Chang Li Aiping Liu Martin J. McKeown Ruobing Qian Z. J. Wang 68 73 0 08 Dec 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 99 442 0 11 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge Belongie 137 294 0 11 Nov 2021
Explaining Deep Tractable Probabilistic Models: The sum-product network case Athresh Karanam Saurabh Mathur P. Radivojac David M. Haas Kristian Kersting Sriraam Natarajan FAtt TPM LRM 126 2 0 19 Oct 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models Arjun Reddy Akula Keze Wang Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 104 49 0 03 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 69 65 0 20 Aug 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 63 0 0 28 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 84 159 0 07 Jul 2021
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis Shammur A. Chowdhury Nadir Durrani Ahmed M. Ali 85 16 0 01 Jul 2021
Advancing biological super-resolution microscopy through deep learning: a brief review Tianjie Yang Yaoru Luo Wei Ji Ge Yang SupR 41 19 0 24 Jun 2021
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations Witold Oleszkiewicz Dominika Basaj Igor Sieradzki Michal Górszczak Barbara Rychalska K. Lewandowska Tomasz Trzciñski Bartosz Zieliñski SSL 75 3 0 21 Jun 2021
Interpretable Face Manipulation Detection via Feature Whitening Yingying Hua Daichi Zhang Pengju Wang Shiming Ge AAML FAtt CVBM 25 2 0 21 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 98 564 0 14 Jun 2021
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 104 81 0 09 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 64 18 0 09 Jun 2021
Fully Transformer Networks for Semantic Image Segmentation Sitong Wu Tianyi Wu Fangjian Lin Sheng Tian Guodong Guo ViT 87 39 0 08 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 78 44 0 03 Jun 2021
Explainable Activity Recognition for Smart Home Systems Devleena Das Yasutaka Nishimura R. Vivek Naoto Takeda Sean T. Fish Thomas Ploetz Sonia Chernova 45 43 0 20 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 123 197 0 15 May 2021
Exploiting Explanations for Model Inversion Attacks Xu Zhao Wencan Zhang Xiao Xiao Brian Y. Lim MIACV 101 84 0 26 Apr 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan OffRL 70 24 0 06 Apr 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 68 7 0 25 Mar 2021
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion Samuel J. Broughton Md. Asif Jalal Roger K. Moore 34 0 0 22 Feb 2021
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images Sampa Misra Seungwan Jeon R. Managuli Seiyon Lee Gyuwon Kim Seungchul Lee R. Barr Chulhong Kim 29 11 0 17 Feb 2021
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 39 5 0 11 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 51 13 0 09 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 119 36 0 02 Feb 2021
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness Kaiping Chen Sang Jung Kim Qiantong Gao S. Raschka 29 8 0 01 Feb 2021
Explainable Artificial Intelligence Approaches: A Survey Sheikh Rabiul Islam W. Eberle S. Ghafoor Mohiuddin Ahmed XAI 87 103 0 23 Jan 2021
Generating Attribution Maps with Disentangled Masked Backpropagation Adria Ruiz Antonio Agudo Francesc Moreno FAtt 38 1 0 17 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 181 176 0 13 Jan 2021
Audio Content Analysis Alexander Lerch 44 0 0 01 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 207 685 0 28 Dec 2020
Computational principles of intelligence: learning and reasoning with neural networks Abel Torres Montoya PINN AI4CE 35 1 0 17 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 59 1 0 13 Dec 2020
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics J. Burge M. Bonanni M. Ihme Lily Hu 87 19 0 11 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 70 18 0 10 Dec 2020
Understanding Interpretability by generalized distillation in Supervised Classification Adit Agarwal Dr. K.K. Shukla Arjan Kuijper Anirban Mukhopadhyay FaML FAtt 36 0 0 05 Dec 2020
Reviewing the Need for Explainable Artificial Intelligence (xAI) Julie Gerlings Arisa Shollo Ioanna D. Constantiou 61 73 0 02 Dec 2020
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine Pedro M. Domingos MLT 95 73 0 30 Nov 2020
Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks Arnaud Fanthomme R. Monasson 53 5 0 20 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 83 54 0 14 Nov 2020
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science Adam J. Johs Denise E. Agosto Rosina O. Weber 51 6 0 13 Nov 2020