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
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström P. Bommer Kristoffer K. Wickstrom Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne 29 21 0 14 Feb 2023
On The Coherence of Quantitative Evaluation of Visual Explanations Benjamin Vandersmissen José Oramas XAI FAtt 26 3 0 14 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 14 4 0 11 Feb 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
Improving Interpretability via Explicit Word Interaction Graph Layer Arshdeep Sekhon Hanjie Chen A. Shrivastava Zhe Wang Yangfeng Ji Yanjun Qi AI4CE MILM 17 6 0 03 Feb 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics Naveed Akhtar XAI VLM 25 7 0 31 Jan 2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Johanna Vielhaben Stefan Blücher Nils Strodthoff 25 37 0 27 Jan 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare Andreas Triantafyllopoulos Alexander Kathan Alice Baird Lukas Christ Alexander Gebhard ... Shahin Amiriparian K. D. Bartl-Pokorny A. Batliner Florian B. Pokorny Björn W. Schuller 41 7 0 25 Jan 2023
Opti-CAM: Optimizing saliency maps for interpretability Hanwei Zhang Felipe Torres R. Sicre Yannis Avrithis Stéphane Ayache 30 22 0 17 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 45 17 0 30 Dec 2022
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods Ming-Xiu Jiang Saeed Khorram Li Fuxin FAtt 22 9 0 13 Dec 2022
Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde Galip Umit Yolcu Alexander Binder Wojciech Samek Sebastian Lapuschkin 52 11 0 30 Nov 2022
Towards Improved Input Masking for Convolutional Neural Networks S. Balasubramanian S. Feizi AAML 33 3 0 26 Nov 2022
Evaluating Feature Attribution Methods for Electrocardiogram J. Suh Jimyeong Kim Euna Jung Wonjong Rhee FAtt 17 2 0 23 Nov 2022
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations Alexander Binder Leander Weber Sebastian Lapuschkin G. Montavon Klaus-Robert Muller Wojciech Samek FAtt AAML 11 22 0 22 Nov 2022
Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek Robert Windesheim Héctor Andrade-Loarca Gitta Kutyniok Ron Levie 29 4 0 22 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Jie Song Huiqiong Wang Mingli Song XAI 27 1 0 12 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 33 18 0 10 Nov 2022
Towards Human-Centred Explainability Benchmarks For Text Classification Viktor Schlegel Erick Mendez Guzman R. Batista-Navarro 18 5 0 10 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 27 14 0 08 Nov 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora AAML FAtt XAI 23 5 0 05 Nov 2022
Extending Logic Explained Networks to Text Classification Rishabh Jain Gabriele Ciravegna Pietro Barbiero Francesco Giannini Davide Buffelli Pietro Lio' FAtt XAI 17 10 0 04 Nov 2022
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria Theresa Bender J. Beinecke D. Krefting Carolin Müller Henning Dathe T. Seidler Nicolai Spicher Anne-Christin Hauschild FAtt 11 24 0 03 Nov 2022
Trustworthy Human Computation: A Survey H. Kashima S. Oyama Hiromi Arai Junichiro Mori 22 0 0 22 Oct 2022
Toward the application of XAI methods in EEG-based systems Andrea Apicella Francesco Isgrò A. Pollastro R. Prevete OOD AI4TS 11 14 0 12 Oct 2022
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems Fan Zhou Haoyu Dong Qian Liu Zhoujun Cheng Shi Han Dongmei Zhang ReLM LRM 31 5 0 11 Oct 2022
Self-explaining Hierarchical Model for Intraoperative Time Series Dingwen Li Bing Xue C. King Bradley A. Fritz M. Avidan Joanna Abraham Chenyang Lu AI4CE 14 3 0 10 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 41 4 0 07 Oct 2022
Evaluation of importance estimators in deep learning classifiers for Computed Tomography L. Brocki Wistan Marchadour Jonas Maison B. Badic P. Papadimitroulas M. Hatt Franck Vermet N. C. Chung 9 4 0 30 Sep 2022
Deep learning and multi-level featurization of graph representations of microstructural data Reese E. Jones C. Safta A. Frankel AI4CE 40 4 0 29 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 109 107 0 22 Sep 2022
Generating detailed saliency maps using model-agnostic methods Maciej Sakowicz FAtt 13 0 0 04 Sep 2022
Automatic Infectious Disease Classification Analysis with Concept Discovery Elena Sizikova Joshua Vendrow Xu Cao Rachel Grotheer Jamie Haddock ... Huy V. Vo Chuntian Wang Megan Coffee Kathryn Leonard Deanna Needell 27 4 0 28 Aug 2022
Discovering Transferable Forensic Features for CNN-generated Images Detection Keshigeyan Chandrasegaran Ngoc-Trung Tran Alexander Binder Ngai-man Cheung AAML 29 27 0 24 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 28 12 0 19 Aug 2022
Adding Context to Source Code Representations for Deep Learning Fuwei Tian Christoph Treude 14 4 0 30 Jul 2022
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies Dingqian Wang N. Honnorat P. Fox K. Ritter Simon B. Eickhoff S. Seshadri Mohamad Habes 11 33 0 22 Jul 2022
Anomalous behaviour in loss-gradient based interpretability methods Vinod Subramanian Siddharth Gururani Emmanouil Benetos Mark Sandler 6 0 0 15 Jul 2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions Bhushan Kotnis Kiril Gashteovski J. Gastinger G. Serra Francesco Alesiani T. Sztyler Ammar Shaker Na Gong Carolin (Haas) Lawrence Zhao Xu 23 9 0 10 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 40 9 0 08 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques Yannik Mahlau Christian Nolde FAtt 35 0 0 04 Jul 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 36 14 0 28 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 18 12 0 15 Jun 2022
Geometrically Guided Integrated Gradients Md. Mahfuzur Rahman N. Lewis Sergey Plis FAtt AAML 16 0 0 13 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 27 15 0 10 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 21 12 0 09 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 30 8 0 07 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 21 6 0 06 Jun 2022