Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

15 February 2017

Papers citing "Visualizing Deep Neural Network Decisions: Prediction Difference Analysis"

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Title
A Model Zoo of Vision Transformers Damian Falk Léo Meynent Florence Pfammatter Konstantin Schurholt Damian Borth 34 0 0 14 Apr 2025
Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities Katarzyna Filus Michał Romaszewski Mateusz Żarski 31 0 0 14 Apr 2025
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients Niklas Penzel Joachim Denzler FAtt 48 0 0 07 Mar 2025
Visual Large Language Models for Generalized and Specialized Applications Yifan Li Zhixin Lai Wentao Bao Zhen Tan Anh Dao Kewei Sui Jiayi Shen Dong Liu Huan Liu Yu Kong VLM 86 11 0 06 Jan 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 37 1 0 22 Dec 2024
Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning? Mengyu Ye Tatsuki Kuribayashi Goro Kobayashi Jun Suzuki LRM 87 0 0 20 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan S. Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 96 14 0 03 Dec 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 13 0 0 21 Oct 2024
Non-invasive Neural Decoding in Source Reconstructed Brain Space Yonatan Gideoni Ryan Charles Timms Oiwi Parker Jones 40 1 0 20 Oct 2024
Mechanistic? Naomi Saphra Sarah Wiegreffe AI4CE 21 9 0 07 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation Swadesh Swain Shree Singhi 23 0 0 05 Oct 2024
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach Ruo Yang Binghui Wang M. Bilgic FAtt 16 0 0 24 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 44 2 0 16 Sep 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 42 2 0 07 Aug 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
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 29 3 0 16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 19 1 0 15 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 18 1 0 05 Jul 2024
Large Language Models are Interpretable Learners Ruochen Wang Si Si Felix X. Yu Dorothea Wiesmann Cho-Jui Hsieh Inderjit Dhillon 16 3 0 25 Jun 2024
Trustworthy Artificial Intelligence in the Context of Metrology Tameem Adel Sam Bilson Mark Levene Andrew Thompson 16 3 0 14 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 54 9 0 11 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 27 0 0 08 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 63 2 0 01 Jun 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Yuang Zhao Zhaocheng Du Qinglin Jia Linxuan Zhang Zhenhua Dong Ruiming Tang 25 2 0 21 May 2024
Neural Clustering based Visual Representation Learning Guikun Chen Xia Li Yi Yang Wenguan Wang SSL 27 8 0 26 Mar 2024
RORA: Robust Free-Text Rationale Evaluation Zhengping Jiang Yining Lu Hanjie Chen Daniel Khashabi Benjamin Van Durme Anqi Liu 45 1 0 28 Feb 2024
Reimagining Anomalies: What If Anomalies Were Normal? Philipp Liznerski Saurabh Varshneya Ece Calikus Sophie Fellenz Marius Kloft 33 4 0 22 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 21 3 0 15 Feb 2024
How phonemes contribute to deep speaker models? Pengqi Li Tianhao Wang Lantian Li A. Hamdulla Dong Wang 29 2 0 05 Feb 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? Cheng Han Qifan Wang Yiming Cui Wenguan Wang Lifu Huang Siyuan Qi Dongfang Liu VLM 44 19 0 23 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 16 1 0 19 Jan 2024
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models Jianhui Pang Fanghua Ye Longyue Wang Dian Yu Derek F. Wong Shuming Shi Zhaopeng Tu ALM 33 6 0 16 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 61 20 0 12 Jan 2024
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 40 6 0 15 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 6 1 0 10 Dec 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 20 1 0 29 Nov 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 22 5 0 27 Oct 2023
Explaining How a Neural Network Play the Go Game and Let People Learn Huilin Zhou Huijie Tang Mingjie Li Hao Zhang Zhenyu Liu Quanshi Zhang 31 6 0 15 Oct 2023
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation Junyu Gao Xinhong Ma Changsheng Xu 26 4 0 12 Oct 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 9 7 0 22 Sep 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 32 32 0 11 Aug 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks Tingxiong Xiao Weihang Zhang Yuxiao Cheng J. Suo 26 2 0 17 Jul 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 19 0 0 12 Jun 2023
On the Impact of Knowledge Distillation for Model Interpretability Hyeongrok Han Siwon Kim Hyun-Soo Choi Sungroh Yoon 8 4 0 25 May 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio' Elena Di Lavore XAI 19 2 0 27 Apr 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks Yihe Dong Sercan Ö. Arik 19 3 0 06 Apr 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen Siyu Lou Keyan Zhang Jin Huang Quanshi Zhang TDI FAtt 11 9 0 04 Apr 2023
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers Naveed Akhtar M. Jalwana FAtt AAML 11 7 0 31 Mar 2023
Model-agnostic explainable artificial intelligence for object detection in image data M. Moradi Ke Yan David Colwell Matthias Samwald Rhona Asgari AAML 41 7 0 30 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 20 20 0 26 Mar 2023