Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

15 February 2017

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

50 / 328 papers shown

Title
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 22 241 0 21 Nov 2020
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends Naira Elazab Hassan H. Soliman Shaker El-Sappagh S. Islam Mohammed M Elmogy 12 20 0 10 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods Ian Covert Scott M. Lundberg Su-In Lee FAtt 26 33 0 06 Nov 2020
Machine versus Human Attention in Deep Reinforcement Learning Tasks Sihang Guo Ruohan Zhang Bo Liu Yifeng Zhu M. Hayhoe D. Ballard Peter Stone OffRL 18 25 0 29 Oct 2020
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 12 58 0 27 Oct 2020
Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis Gayathiri Murugamoorthy N. Khan MedIm 6 0 0 26 Oct 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 21 5 0 24 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 34 7 0 23 Oct 2020
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability Jason Phang Jungkyu Park Krzysztof J. Geras FAtt AAML 209 7 0 19 Oct 2020
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 11 8 0 14 Oct 2020
Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification Florentin Flambeau Jiechieu Kameni Norbert Tsopzé XAI FAtt MedIm 14 1 0 08 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 26 214 0 01 Oct 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 9 9 0 29 Sep 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 13 39 0 29 Sep 2020
Information-Theoretic Visual Explanation for Black-Box Classifiers Jihun Yi Eunji Kim Siwon Kim Sungroh Yoon FAtt 12 6 0 23 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
Visual Neural Decomposition to Explain Multivariate Data Sets Johannes Knittel A. Lalama Steffen Koch Thomas Ertl FAtt 4 8 0 11 Sep 2020
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease M. Sagar M. Dyrba MedIm 8 0 0 10 Sep 2020
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel David Vigouroux Rémi Cadène Thomas Serre XAI FAtt 18 31 0 07 Sep 2020
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network Erico Tjoa Cuntai Guan FAtt 8 0 0 05 Sep 2020
A Unified Taylor Framework for Revisiting Attribution Methods Huiqi Deng Na Zou Mengnan Du Weifu Chen Guo-Can Feng Xia Hu FAtt TDI 27 20 0 21 Aug 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung Jonghyun Lee Jihun Yi Sungroh Yoon 12 12 0 20 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 6 56 0 14 Aug 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao Biao Li FAtt 16 266 0 05 Aug 2020
XAlgo: a Design Probe of Explaining Algorithms' Internal States via Question-Answering Juan Rebanal Yuqi Tang Jordan Combitsis Xiang Ánthony' Chen 14 3 0 14 Jul 2020
A simple defense against adversarial attacks on heatmap explanations Laura Rieger Lars Kai Hansen FAtt AAML 25 37 0 13 Jul 2020
Domain aware medical image classifier interpretation by counterfactual impact analysis Dimitrios Lenis David Major M. Wimmer Astrid Berg Gert Sluiter Katja Bühler OOD MedIm 12 27 0 13 Jul 2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets Junsuk Choe Seong Joon Oh Sanghyuk Chun Seungho Lee Zeynep Akata Hyunjung Shim WSOL 334 23 0 08 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 25 625 0 01 Jul 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency Robert Geirhos Kristof Meding Felix Wichmann 6 116 0 30 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 11 592 0 16 Jun 2020
Loss Rate Forecasting Framework Based on Macroeconomic Changes: Application to US Credit Card Industry Sajjad Taghiyeh D. Lengacher R. Handfield 9 10 0 14 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 12 266 0 29 May 2020
P2ExNet: Patch-based Prototype Explanation Network Dominique Mercier Andreas Dengel Sheraz Ahmed 8 3 0 05 May 2020
Post-hoc explanation of black-box classifiers using confident itemsets M. Moradi Matthias Samwald 45 97 0 05 May 2020
Evaluating Explanation Methods for Neural Machine Translation Jierui Li Lemao Liu Huayang Li Guanlin Li Guoping Huang Shuming Shi 18 23 0 04 May 2020
Explaining How Deep Neural Networks Forget by Deep Visualization Giang Nguyen Shuan Chen Tae Joon Jun Daeyoung Kim AAML 6 10 0 03 May 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao M. Schlichtkrull Wilker Aziz Ivan Titov 17 89 0 30 Apr 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task Christoph Alt Aleksandra Gabryszak Leonhard Hennig 6 151 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 370 0 30 Apr 2020
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling David Harbecke Christoph Alt 4 10 0 21 Apr 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang Nuno Vasconcelos FAtt 14 81 0 16 Apr 2020
Explainable Image Classification with Evidence Counterfactual T. Vermeire David Martens FAtt 6 0 0 16 Apr 2020
TSInsight: A local-global attribution framework for interpretability in time-series data Shoaib Ahmed Siddiqui Dominique Mercier Andreas Dengel Sheraz Ahmed FAtt AI4TS 6 12 0 06 Apr 2020
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis David Major Dimitrios Lenis M. Wimmer Gert Sluiter Astrid Berg Katja Bühler FAtt 17 12 0 03 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 30 120 0 26 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 36 82 0 17 Mar 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability Jie Song Yixin Chen Jingwen Ye Xinchao Wang Chengchao Shen Feng Mao Mingli Song 15 29 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 149 0 16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 25 18 0 16 Mar 2020