From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation

7 June 2022

Papers citing "From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation"

33 / 83 papers shown

Title
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 24 2 0 07 Feb 2024
Deep spatial context: when attention-based models meet spatial regression Paulina Tomaszewska El.zbieta Sienkiewicz Mai P. Hoang Przemysław Biecek 21 1 0 18 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 66 20 0 12 Jan 2024
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva Marina M.-C. Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller Konrad Rieck Kirill Bykov AAML 40 6 0 11 Jan 2024
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 27 43 0 20 Dec 2023
Estimation of Concept Explanations Should be Uncertainty Aware Vihari Piratla Juyeon Heo Katherine M. Collins Sukriti Singh Adrian Weller 26 1 0 13 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts Timo Freiesleben NAI 27 1 0 08 Dec 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 32 10 0 28 Nov 2023
Robot Learning in the Era of Foundation Models: A Survey Xuan Xiao Jiahang Liu Zhipeng Wang Yanmin Zhou Yong Qi Qian Cheng Bin He Shuo Jiang AI4CE LM&Ro 33 27 0 24 Nov 2023
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 29 15 0 22 Nov 2023
Representing visual classification as a linear combination of words Shobhit Agarwal Yevgeniy R. Semenov William Lotter 48 1 0 18 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 32 192 0 30 Oct 2023
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts Thomas Decker Michael Lebacher Volker Tresp FAtt 20 2 0 17 Oct 2023
Human-Centered Evaluation of XAI Methods Karam Dawoud Wojciech Samek Peter Eisert Sebastian Lapuschkin Sebastian Bosse 50 4 0 11 Oct 2023
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals Kwanseok Oh Da-Woon Heo A. Mulyadi Wonsik Jung Eunsong Kang Kun Ho Lee Heung-Il Suk 29 1 0 05 Oct 2023
Glocal Explanations of Expected Goal Models in Soccer Mustafa Cavus Adrian Stando P. Biecek 35 4 0 29 Aug 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery Patrick Wagner Temesgen Mehari Wilhelm Haverkamp Nils Strodthoff 44 18 0 26 May 2023
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc FAtt 18 3 0 24 May 2023
Towards Understanding How Data Augmentation Works with Imbalanced Data Damien Dablain Nitesh V. Chawla AI4CE 31 2 0 12 Apr 2023
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations Alexandros Doumanoglou S. Asteriadis D. Zarpalas SSL FAtt 8 4 0 19 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 23 26 0 11 Mar 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity Gaith Rjoub Jamal Bentahar Omar Abdel Wahab R. Mizouni Alyssa Song Robin Cohen Hadi Otrok Azzam Mourad 15 27 0 07 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 40 3 0 07 Feb 2023
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 35 3 0 22 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 48 17 0 30 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 24 1 0 15 Dec 2022
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 61 21 0 21 Nov 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 63 7 0 07 Feb 2022
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 33 64 0 24 Jun 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark Sören Becker Johanna Vielhaben M. Ackermann Klaus-Robert Muller Sebastian Lapuschkin Wojciech Samek XAI 29 94 0 09 Jul 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014