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
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients Ruo Yang Binghui Wang M. Bilgic 35 18 0 24 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Jie Song Mingli Song OCL 39 3 0 12 Mar 2023
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions Huiqi Deng Na Zou Mengnan Du Weifu Chen Guo-Can Feng Ziwei Yang Zheyang Li Quanshi Zhang FAtt TDI 49 22 0 02 Mar 2023
A Practical Upper Bound for the Worst-Case Attribution Deviations Fan Wang A. Kong AAML 44 4 0 01 Mar 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 22 3 0 07 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 19 2 0 04 Feb 2023
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 16 17 0 23 Jan 2023
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks Tehseen Zia Zeeshan Nisar Shakeeb Murtaza GAN MedIm 21 0 0 21 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 29 2 0 03 Jan 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 21 67 0 25 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 23 7 0 18 Dec 2022
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 21 17 0 16 Dec 2022
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods Ming-Xiu Jiang Saeed Khorram Li Fuxin FAtt 14 9 0 13 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 27 18 0 27 Nov 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 12 0 0 25 Nov 2022
An Interpretable Neuron Embedding for Static Knowledge Distillation Wei Han Yang Wang Christian Böhm Junming Shao 13 0 0 14 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Jie Song Huiqiong Wang Mingli Song XAI 25 1 0 12 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
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 52 29 0 29 Sep 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Y. Zou TDI FAtt 19 33 0 27 Sep 2022
Visual Recognition with Deep Nearest Centroids Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 49 91 0 15 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang FAtt AAML 17 19 0 07 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 14 14 0 31 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 23 3 0 18 Aug 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights Tianshu Feng Zhipu Zhou Tarun Joshi V. Nair FAtt 15 4 0 12 Aug 2022
Interpretable Distribution Shift Detection using Optimal Transport Neha Hulkund Nicolò Fusi Jennifer Wortman Vaughan David Alvarez-Melis OT 17 2 0 04 Aug 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks Tomoki Uchiyama Naoya Sogi S. Iizuka Koichiro Niinuma Kazuhiro Fukui 13 2 0 26 Jul 2022
Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithm Marco Cotogni C. Cusano 25 2 0 14 Jul 2022
Rethinking gradient weights' influence over saliency map estimation Masud An Nur Islam Fahim Nazmus Saqib Shafkat Khan Siam H. Jung FAtt 14 1 0 12 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 16 89 0 29 Jun 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 33 3 0 24 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 22 15 0 10 Jun 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 16 7 0 09 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 12 51 0 07 Jun 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection Fan Wang A. Kong 61 10 0 15 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI Sami Ede Serop Baghdadlian Leander Weber A. Nguyen Dario Zanca Wojciech Samek Sebastian Lapuschkin CLL 27 6 0 04 May 2022
Missingness Bias in Model Debugging Saachi Jain Hadi Salman E. Wong Pengchuan Zhang Vibhav Vineet Sai H. Vemprala A. Madry 22 37 0 19 Apr 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data David Schinagl Georg Krispel Horst Possegger P. Roth Horst Bischof 3DPC 18 16 0 13 Apr 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 19 2 0 30 Mar 2022
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals Simon Vandenhende D. Mahajan Filip Radenovic Deepti Ghadiyaram 22 30 0 24 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 41 90 0 15 Mar 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin Xiaoxiao Li Ghassan Hamarneh 25 51 0 12 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 22 25 0 25 Feb 2022
SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models S. F. Seyyedsalehi Mahdieh Soleymani Hamid R. Rabiee 18 0 0 20 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 42 88 0 16 Feb 2022
Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces Jian Cui Liqiang Yuan Zhaoxiang Wang Ruilin Li Tianzi Jiang 13 11 0 12 Feb 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test Y. Liu Haoliang Li Yangyang Guo Chen Kong Jing Li Shiqi Wang FAtt 116 42 0 28 Jan 2022
PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control Patrick Ruediger-Flore Felix Claus V. Leonhardt H. Hagen J. Aurich Christoph Garth 17 0 0 25 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip H. S. Torr FAtt 48 15 0 23 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 19 5 0 14 Jan 2022