Evaluating the visualization of what a Deep Neural Network has learned

21 September 2015

Papers citing "Evaluating the visualization of what a Deep Neural Network has learned"

50 / 510 papers shown

Title
Evaluating Model Explanations without Ground Truth Kaivalya Rawal Zihao Fu Eoin Delaney Chris Russell FAtt XAI 31 0 0 15 May 2025
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey Lakshit Arora Sanjay Surendranath Girija Shashank Kapoor Aman Raj Dipen Pradhan Ankit Shetgaonkar 31 0 0 11 May 2025
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena Philip Naumann Jacob R. Kauffmann G. Montavon 26 0 0 09 May 2025
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Felix Kares Timo Speith Hanwei Zhang Markus Langer FAtt XAI 38 0 0 23 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 19 0 0 18 Apr 2025
Metric-Guided Synthesis of Class Activation Mapping Alejandro Luque-Cerpa Elizabeth Polgreen Ajitha Rajan Hazem Torfah 27 0 0 14 Apr 2025
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being Esperança Amengual-Alcover Antoni Jaume-i-Capó Miquel Miró-Nicolau Gabriel Moyà Alcover Antonia Paniza-Fullana 32 0 0 11 Apr 2025
Uncovering the Structure of Explanation Quality with Spectral Analysis Johannes Maeß G. Montavon Shinichi Nakajima Klaus-Robert Müller Thomas Schnake FAtt 38 0 0 11 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model Soyeon Kim Junho Choi Yeji Choi Subeen Lee Artyom Stitsyuk Minkyoung Park Seongyeop Jeong Youhyun Baek Jaesik Choi XAI 48 2 0 01 Apr 2025
Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective Guanhua Zheng Jitao Sang Changsheng Xu AAML FAtt 65 0 0 14 Mar 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 100 1 0 13 Mar 2025
Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP Chenyang Zhao Kun Wang J. H. Hsiao Antoni B. Chan CLIP 68 0 0 26 Feb 2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions Gregor Baer Isel Grau Chao Zhang Pieter Van Gorp AAML 46 0 0 24 Feb 2025
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution Carlos Eiras-Franco Anna Hedström Marina M.-C. Höhne XAI 33 0 0 24 Feb 2025
A Close Look at Decomposition-based XAI-Methods for Transformer Language Models L. Arras Bruno Puri Patrick Kahardipraja Sebastian Lapuschkin Wojciech Samek 41 0 0 21 Feb 2025
Extending Information Bottleneck Attribution to Video Sequences Veronika Solopova Lucas Schmidt Dorothea Kolossa 47 0 0 28 Jan 2025
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 49 3 0 08 Jan 2025
Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks Li Weitao Zhang Xinru Wang Dianhui Tong Qianqian Chai Tianyou AI4CE 32 0 0 06 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 39 2 0 03 Jan 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 55 4 0 31 Dec 2024
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 91 0 0 30 Dec 2024
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Davor Vukadin Petar Afrić Marin Šilić Goran Delač FAtt 93 2 0 12 Dec 2024
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström AAML 79 2 0 07 Dec 2024
NormXLogit: The Head-on-Top Never Lies Sina Abbasi Mohammad Reza Modarres Mohammad Taher Pilehvar 64 0 0 25 Nov 2024
Transparent Neighborhood Approximation for Text Classifier Explanation Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AAML 64 0 0 25 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 34 3 0 15 Nov 2024
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 36 1 0 04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations Rémi Kazmierczak Steve Azzolin Eloise Berthier Anna Hedström Patricia Delhomme ... Goran Frehse Massimiliano Mancini Baptiste Caramiaux Andrea Passerini Gianni Franchi 23 0 0 04 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 54 1 0 03 Nov 2024
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning John Wu David Wu Jimeng Sun 44 1 0 31 Oct 2024
ConLUX: Concept-Based Local Unified Explanations Junhao Liu Haonan Yu Xin Zhang FAtt LRM 33 0 0 16 Oct 2024
Rethinking the Principle of Gradient Smooth Methods in Model Explanation Linjiang Zhou Chao Ma Zepeng Wang Xiaochuan Shi FAtt 22 0 0 10 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 28 0 0 03 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
Explaining word embeddings with perfect fidelity: Case study in research impact prediction Lucie Dvorackova Marcin P. Joachimiak Michal Cerny Adriana Kubecova Vilem Sklenak Tomas Kliegr 13 0 0 24 Sep 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 31 0 0 22 Sep 2024
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction Yan Feng Alexander Carballo Keisuke Fujii Robin Karlsson Ming Ding K. Takeda 26 0 0 14 Sep 2024
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review Abdullah Alharthi Ahmed Alqurashi Turki Alharbi Mohammed Alammar Nasser Aldosari Houssem Bouchekara Yusuf Shaaban Mohammad Shoaib Shahriar Abdulrahman Al Ayidh 34 0 0 11 Sep 2024
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving H. Yang Shiyan Zhang Zhuoyi Yang Xinyu Zhang Li Wang Yifan Tang Jilong Guo J. Li 27 0 0 01 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 38 3 0 30 Aug 2024
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology Pardis Afshar Sajjad Hashembeiki Pouya Khani Emad Fatemizadeh M. Rohban 24 3 0 29 Aug 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin ViT 32 1 0 22 Aug 2024
Improving Network Interpretability via Explanation Consistency Evaluation Hefeng Wu Hao Jiang Keze Wang Ziyi Tang Xianghuan He Liang Lin FAtt AAML 28 0 0 08 Aug 2024
Revisiting the robustness of post-hoc interpretability methods Jiawen Wei Hugues Turbé G. Mengaldo AAML 39 4 0 29 Jul 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 46 0 0 28 Jul 2024
Practical Attribution Guidance for Rashomon Sets Sichao Li Amanda S. Barnard Quanling Deng 38 5 0 26 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 29 3 0 16 Jul 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach Truong Thanh Hung Nguyen Phuc Truong Loc Nguyen Hung Cao 24 2 0 16 Jul 2024
Layer-Wise Relevance Propagation with Conservation Property for ResNet Seitaro Otsuki T. Iida Félix Doublet Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Komei Sugiura FAtt 46 4 0 12 Jul 2024