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Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

1 April 2019

Lior Wolf

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Papers citing "Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks"

26 / 26 papers shown

Title
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models Seongun Kim Sol A Kim Geonhyeong Kim Enver Menadjiev Chanwoo Lee Seongwook Chung Nari Kim Jaesik Choi 163 0 0 15 May 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information Youngju Joung Sehyun Lee Jaesik Choi AAML 86 1 0 12 Mar 2025
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance Jung-Ho Hong Woo-Jeoung Nam Kyu-Sung Jeon Seong-Whan Lee 52 3 0 21 Dec 2023
Explaining the Decisions of Deep Policy Networks for Robotic Manipulations Seongun Kim Jaesik Choi 48 4 0 30 Oct 2023
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 142 0 0 25 Sep 2023
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy Jiwoo Hong Yejin Cho Jaemin Jung Jiyoung Han James Thorne 72 7 0 05 Apr 2023
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map P. Zang T. Hormel Jie Wang Yukun Guo Steven T. Bailey C. Flaxel David Huang T. Hwang Yali Jia MedIm 79 8 0 13 Dec 2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation Juanwu Lu Wei Zhan Masayoshi Tomizuka Yeping Hu 74 6 0 06 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 97 19 0 26 Jul 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 107 38 0 02 Jun 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 186 423 0 20 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 70 24 0 16 Dec 2021
Learning a Weight Map for Weakly-Supervised Localization Tal Shaharabany Lior Wolf WSOL SSL 96 1 0 28 Nov 2021
Finding Representative Interpretations on Convolutional Neural Networks P. C. Lam Lingyang Chu Maxim Torgonskiy J. Pei Yong Zhang Lanjun Wang FAtt SSL HAI 70 6 0 13 Aug 2021
Explanatory Pluralism in Explainable AI Yiheng Yao XAI 54 4 0 26 Jun 2021
MISA: Online Defense of Trojaned Models using Misattributions Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 56 10 0 29 Mar 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 118 328 0 29 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 84 344 0 19 Mar 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 150 21 0 05 Mar 2021
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring S. Sattarzadeh M. Sudhakar Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim FAtt 67 39 0 15 Feb 2021
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 152 681 0 17 Dec 2020
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization Shir Gur Ameen Ali Lior Wolf FAtt 78 37 0 03 Dec 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation Geondo Park J. Yang Sung Ju Hwang Eunho Yang 57 5 0 28 Oct 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks Hong G Jung Sin-Han Kang Hee-Dong Kim Dong-Ok Won Seong-Whan Lee OOD FAtt 94 24 0 05 Aug 2020
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes Sohee Cho Ginkyeng Lee Wonjoon Chang Jaesik Choi 73 16 0 27 Apr 2020
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 118 132 0 20 Dec 2019