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
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 31 1 0 05 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 29 0 0 04 Jul 2024
Axiomatization of Gradient Smoothing in Neural Networks Linjiang Zhou Xiaochuan Shi Chao Ma Zepeng Wang FAtt 21 0 0 29 Jun 2024
SimSMoE: Solving Representational Collapse via Similarity Measure Giang Do Hung Le T. Tran MoE 41 1 0 22 Jun 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 35 2 0 17 Jun 2024
Should XAI Nudge Human Decisions with Explanation Biasing? Yosuke Fukuchi Seiji Yamada 29 0 0 11 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 59 9 0 11 Jun 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 44 5 0 30 May 2024
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution Yurui Chang Bochuan Cao Yujia Wang Jinghui Chen Lu Lin LRM 25 0 0 30 May 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 35 2 0 27 May 2024
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks Shangshang Yang Linrui Qin Xiaoshan Yu AI4Ed 33 10 0 23 May 2024
Part-based Quantitative Analysis for Heatmaps Osman Tursun Sinan Kalkan Simon Denman S. Sridharan Clinton Fookes 35 0 0 22 May 2024
Degree of Irrationality: Sentiment and Implied Volatility Surface Jiahao Weng Yan Xie 22 0 0 20 May 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing Xiaotian Lu Jiyi Li Zhen Wan Xiaofeng Lin Koh Takeuchi Hisashi Kashima XAI FAtt LRM 27 1 0 17 May 2024
To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems Miquel Miró-Nicolau Gabriel Moyà Alcover Antoni Jaume-i-Capó Manuel González Hidalgo Maria Gemma Sempere Campello Juan Antonio Palmer Sancho 21 0 0 09 May 2024
Interpretability Needs a New Paradigm Andreas Madsen Himabindu Lakkaraju Siva Reddy Sarath Chandar 39 4 0 08 May 2024
A Fresh Look at Sanity Checks for Saliency Maps Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne FAtt LRM 37 5 0 03 May 2024
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attribution Methods Peiyu Yang Naveed Akhtar Jiantong Jiang Ajmal Saeed Mian XAI 32 2 0 02 May 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento Simon Witzke Nadja Klein Bernhard Y. Renard FAtt AAML 40 0 0 22 Apr 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 39 5 0 17 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 40 2 0 06 Apr 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity Walid Bousselham Angie Boggust Sofian Chaybouti Hendrik Strobelt Hilde Kuehne 96 10 0 04 Apr 2024
Sanity Checks for Explanation Uncertainty Matias Valdenegro-Toro Mihir Mulye FAtt 33 0 0 25 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 21 18 0 15 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 30 4 0 14 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers Francesco Dibitonto Fabio Garcea Andre' Panisson Alan Perotti Lia Morra AAML 29 0 0 13 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 43 0 0 28 Feb 2024
DualView: Data Attribution from the Dual Perspective Galip Umit Yolcu Thomas Wiegand Wojciech Samek Sebastian Lapuschkin TDI FAtt 21 0 0 19 Feb 2024
SyntaxShap: Syntax-aware Explainability Method for Text Generation Kenza Amara R. Sevastjanova Mennatallah El-Assady 39 2 0 14 Feb 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers Reduan Achtibat Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Aakriti Jain Thomas Wiegand Sebastian Lapuschkin Wojciech Samek 28 25 0 08 Feb 2024
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention Saebom Leem Hyunseok Seo ViT 14 14 0 07 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 32 2 0 30 Jan 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 19 1 0 26 Jan 2024
A comprehensive study on fidelity metrics for XAI Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 36 11 0 19 Jan 2024
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations Euna Jung Jaekeol Choi Eunggu Yun Wonjong Rhee AI4CE 22 0 0 17 Jan 2024
Are self-explanations from Large Language Models faithful? Andreas Madsen Sarath Chandar Siva Reddy LRM 30 24 0 15 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
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne LRM 27 3 0 12 Jan 2024
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis Mostafa EL HABIB DAHO Yi-Hsuan Li Rachid Zeghlache Hugo Le Boité Pierre Deman ... A. Couturier R. Tadayoni Pierre-Henri Conze M. Lamard G. Quellec 38 7 0 10 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 40 8 0 09 Jan 2024
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions Razieh Rezaei Alireza Dizaji Ashkan Khakzar Anees Kazi Nassir Navab Daniel Rueckert 26 0 0 01 Jan 2024
DXAI: Explaining Classification by Image Decomposition Elnatan Kadar Guy Gilboa FAtt 27 0 0 30 Dec 2023
Fast gradient-free activation maximization for neurons in spiking neural networks N. Pospelov Andrei Chertkov Maxim Beketov Ivan V. Oseledets Konstantin Anokhin 24 1 0 28 Dec 2023
Efficient Representation of the Activation Space in Deep Neural Networks Tanya Akumu C. Cintas G. Tadesse Adebayo Oshingbesan Skyler Speakman E. McFowland AAML 26 0 0 13 Dec 2023
Accelerating the Global Aggregation of Local Explanations Alon Mor Yonatan Belinkov B. Kimelfeld FAtt 29 3 0 13 Dec 2023
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 19 1 0 10 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 31 11 0 08 Dec 2023
Class-Discriminative Attention Maps for Vision Transformers L. Brocki Jakub Binda N. C. Chung MedIm 30 3 0 04 Dec 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023