Full-Gradient Representation for Neural Network Visualization

2 May 2019

Papers citing "Full-Gradient Representation for Neural Network Visualization"

50 / 66 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
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI Mahdi Alehdaghi Rajarshi Bhattacharya Pourya Shamsolmoali Rafael M. O. Cruz Maguelonne Heritier Eric Granger 41 0 0 16 Apr 2025
Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound Yuhao Huang Ao Chang Haoran Dou X. Tao Xinrui Zhou ... Ruobing Huang Alejandro F Frangi Lingyun Bao Xin Yang Dong Ni 87 1 0 26 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 67 0 0 27 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology Raktim Kumar Mondol Ewan K. A. Millar Peter H. Graham Lois Browne Arcot Sowmya Erik H. W. Meijering 46 0 0 08 Jan 2025
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 47 0 0 10 Oct 2024
Designing Concise ConvNets with Columnar Stages Ashish Kumar Jaesik Park MQ 29 0 0 05 Oct 2024
Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies Ruiyu Wang Zheyu Zhuang Shutong Jin Nils Ingelhag Danica Kragic Florian T. Pokorny 33 0 0 30 Sep 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 50 3 0 27 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 81 0 0 17 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 34 3 0 16 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks Zhenyu Wang S. Nirjon 32 0 0 13 Jul 2024
ViG-Bias: Visually Grounded Bias Discovery and Mitigation Badr-Eddine Marani Mohamed Hanini Nihitha Malayarukil Stergios Christodoulidis Maria Vakalopoulou Enzo Ferrante 24 0 0 02 Jul 2024
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition Sangyu Han Yearim Kim Nojun Kwak AAML 29 1 0 25 Jan 2024
CAManim: Animating end-to-end network activation maps Emily Kaczmarek Olivier X. Miguel Alexa C. Bowie R. Ducharme Alysha L. J. Dingwall-Harvey S. Hawken Christine M. Armour Mark C. Walker Kevin Dick HAI 29 1 0 19 Dec 2023
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise Hangcheng Dong Yuhao Jiang Yingyan Huang Jing-Xiao Liao Bingguo Liu Dong Ye Guodong Liu 18 1 0 04 Aug 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability Usha Bhalla Suraj Srinivas Himabindu Lakkaraju FAtt CML 29 6 0 27 Jul 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 24 0 0 12 Jun 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 26 3 0 07 Feb 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 38 9 0 20 Jan 2023
Negative Flux Aggregation to Estimate Feature Attributions X. Li Deng Pan Chengyin Li Yao Qiang D. Zhu FAtt 8 6 0 17 Jan 2023
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks Yitao Peng Longzhen Yang Yihang Liu Lianghua He FAtt 13 3 0 12 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 41 2 0 03 Jan 2023
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 20 68 0 22 Dec 2022
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
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 32 18 0 27 Nov 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 32 68 0 21 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 41 45 0 30 Sep 2022
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 39 11 0 29 Sep 2022
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models S. Karatsiolis A. Kamilaris FAtt 34 1 0 19 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 31 4 0 09 Sep 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
Backdoor Attacks on Vision Transformers Akshayvarun Subramanya Aniruddha Saha Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash ViT AAML 21 16 0 16 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 24 6 0 06 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 35 37 0 02 Jun 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 25 2 0 22 May 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 42 85 0 20 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 30 26 0 16 May 2022
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images P. Jain Bianca Schoen-Phelan R. Ross 27 32 0 04 May 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 15 89 0 15 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
Explaining neural network predictions of material strength Ian Palmer T. Nathan Mundhenk B. J. Gallagher Yong Han 21 2 0 05 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency Lin Cheng Pengfei Fang Yanjie Liang Liao Zhang Chunhua Shen Hanzi Wang FAtt 22 11 0 11 Oct 2021
Consistent Explanations by Contrastive Learning Vipin Pillai Soroush Abbasi Koohpayegani Ashley Ouligian Dennis Fong Hamed Pirsiavash FAtt 20 21 0 01 Oct 2021
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 94 22 0 10 Sep 2021
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs V. Kamakshi Uday Gupta N. C. Krishnan 21 18 0 31 Aug 2021
Evaluation of Saliency-based Explainability Method Sam Zabdiel Sunder Samuel V. Kamakshi Namrata Lodhi N. C. Krishnan FAtt XAI 32 12 0 24 Jun 2021
IA-RED $^2$ : Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan Yikang Shen Yi Ding Zhangyang Wang Rogerio Feris A. Oliva VLM ViT 39 153 0 23 Jun 2021