This Looks Like That: Deep Learning for Interpretable Image Recognition

27 June 2018

Papers citing "This Looks Like That: Deep Learning for Interpretable Image Recognition"

50 / 602 papers shown

Title
Dynamic Model Tree for Interpretable Data Stream Learning Johannes Haug Klaus Broelemann Gjergji Kasneci 25 7 0 30 Mar 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 32 55 0 29 Mar 2022
Cycle-Consistent Counterfactuals by Latent Transformations Saeed Khorram Li Fuxin BDL 21 32 0 28 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 38 179 0 28 Mar 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics Yipei Wang Xiaoqian Wang XAI 19 7 0 27 Mar 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 9 19 0 27 Mar 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 32 28 0 25 Mar 2022
Self-supervised Semantic Segmentation Grounded in Visual Concepts Wenbin He William C. Surmeier A. Shekar Liangke Gou Liu Ren SSL 32 7 0 25 Mar 2022
But that's not why: Inference adjustment by interactive prototype revision M. Gerstenberger Thomas Wiegand Peter Eisert Sebastian Bosse 24 1 0 18 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang M. Pagnucco Yang Song 29 31 0 17 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 47 90 0 15 Mar 2022
Explaining Classifiers by Constructing Familiar Concepts Johannes Schneider M. Vlachos 27 15 0 07 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 37 25 0 25 Feb 2022
First is Better Than Last for Language Data Influence Chih-Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar TDI 32 20 0 24 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 42 88 0 16 Feb 2022
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification Kevin Fauvel Fuxing Chen Dario Rossi 27 25 0 11 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective Himabindu Lakkaraju Dylan Slack Yuxin Chen Chenhao Tan Sameer Singh LRM 16 64 0 03 Feb 2022
Concept Bottleneck Model with Additional Unsupervised Concepts Yoshihide Sawada Keigo Nakamura SSL 21 66 0 03 Feb 2022
Metrics for saliency map evaluation of deep learning explanation methods T. Gomez Thomas Fréour Harold Mouchère XAI FAtt 69 41 0 31 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 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 28 396 0 20 Jan 2022
Disentangled Latent Transformer for Interpretable Monocular Height Estimation Zhitong Xiong Sining Chen Sining Chen Yilei Shi Xiaoxiang Zhu ViT 24 6 0 17 Jan 2022
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation Srishti Gautam Marina M.-C. Höhne Stine Hansen Robert Jenssen Michael C. Kampffmeyer 13 7 0 10 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition Gao Huang Yulin Wang Kangchen Lv Haojun Jiang Wenhui Huang Pengfei Qi S. Song 3DH 79 49 0 09 Jan 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed 36 61 0 04 Jan 2022
On the Role of Neural Collapse in Transfer Learning Tomer Galanti András Gyorgy Marcus Hutter SSL 21 85 0 30 Dec 2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 27 128 0 21 Dec 2021
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems F. Vicentini Damian Hofmann A. Szabó Dian Wu Christopher Roth ... Gabriel Pescia J. Nys Vladimir Vargas-Calderón N. Astrakhantsev Giuseppe Carleo 16 87 0 20 Dec 2021
RELAX: Representation Learning Explainability Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 13 14 0 19 Dec 2021
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models Roozbeh Yousefzadeh J. Mollick 25 6 0 06 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 34 99 0 06 Dec 2021
Making a Bird AI Expert Work for You and Me Dongliang Chang Kaiyue Pang Ruoyi Du Zhanyu Ma Yi-Zhe Song Jun Guo 65 10 0 06 Dec 2021
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car Tina Chen Taotao Jing Renran Tian Yaobin Chen Joshua E. Domeyer Heishiro Toyoda Rini Sherony Zhengming Ding 31 23 0 05 Dec 2021
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 91 26 0 04 Dec 2021
ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee 23 128 0 02 Dec 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 33 127 0 29 Nov 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability Yan Kang Yang Liu Yuezhou Wu Guoqiang Ma Qiang Yang 13 39 0 22 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 19 43 0 17 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 38 23 0 09 Nov 2021
Human Attention in Fine-grained Classification Yao Rong Wenjia Xu Zeynep Akata Enkelejda Kasneci 43 35 0 02 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 30 3 0 01 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 18 302 0 01 Nov 2021
Inference Graphs for CNN Interpretation Yael Konforti Alon Shpigler Aharon Bar-Hillel FAtt GNN 20 4 0 20 Oct 2021
Prototype Learning for Interpretable Respiratory Sound Analysis Zhao Ren T. Nguyen Wolfgang Nejdl 99 25 0 07 Oct 2021
Causal Explanations of Structural Causal Models Matej Zevcević Devendra Singh Dhami Constantin Rothkopf Kristian Kersting LRM 27 2 0 05 Oct 2021
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
Consistent Explanations by Contrastive Learning Vipin Pillai Soroush Abbasi Koohpayegani Ashley Ouligian Dennis Fong Hamed Pirsiavash FAtt 20 21 0 01 Oct 2021