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

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

1 April 2019

Lior Wolf

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

18 / 18 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 28 0 0 15 May 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information Youngju Joung Sehyun Lee Jaesik Choi AAML 53 1 0 12 Mar 2025
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 21 0 0 25 Sep 2023
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models Xingcheng Xu Zihao Pan Haipeng Zhang Yanqing Yang LRM 21 2 0 16 Aug 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 25 7 0 13 Dec 2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation Juanwu Lu Wei Zhan Masayoshi Tomizuka Yeping Hu 22 6 0 06 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 25 18 0 26 Jul 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 35 38 0 02 Jun 2022
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Maximilian Springenberg A. Frommholz M. Wenzel Eva Weicken Jackie Ma Nils Strodthoff MedIm 30 42 0 11 Apr 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 33 23 0 16 Dec 2021
Focus! Rating XAI Methods and Finding Biases Anna Arias-Duart Ferran Parés Dario Garcia-Gasulla Victor Gimenez-Abalos 26 32 0 28 Sep 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 31 303 0 29 Mar 2021
Explainability Guided Multi-Site COVID-19 CT Classification Ameen Ali Tal Shaharabany Lior Wolf 19 4 0 25 Mar 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 22 21 0 05 Mar 2021
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 45 644 0 17 Dec 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 25 22 0 05 Aug 2020
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 13 132 0 20 Dec 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017