Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers

4 April 2016

Papers citing "Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers"

50 / 84 papers shown

Title
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors Hung Nguyen Alireza Rahimi Veronica Whitford Hélène Fournier Irina Kondratova René Richard Hung Cao 17 0 0 16 May 2025
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability Zhiyu Zhu Jiayu Zhang Zhibo Jin Fang Chen Jianlong Zhou FAtt 24 0 0 03 May 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
Extending Information Bottleneck Attribution to Video Sequences Veronika Solopova Lucas Schmidt Dorothea Kolossa 47 0 0 28 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 44 3 0 03 Jan 2025
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability Wen-Dong Jiang Chih-Yung Chang Show-Jane Yen Diptendu Sinha Roy FAtt HAI 80 1 0 02 Dec 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 52 3 0 08 Jul 2024
Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsman Alexei A. Efros Jacob Steinhardt MILM 62 16 0 06 Jun 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento Simon Witzke Nadja Klein Bernhard Y. Renard FAtt AAML 40 0 0 22 Apr 2024
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights Moein Heidari Reza Azad Sina Ghorbani Kolahi René Arimond Leon Niggemeier ... Afshin Bozorgpour Ehsan Khodapanah Aghdam A. Kazerouni I. Hacihaliloglu Dorit Merhof 51 7 0 28 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 29 19 0 15 Mar 2024
B-Cos Aligned Transformers Learn Human-Interpretable Features Manuel Tran Amal Lahiani Yashin Dicente Cid Melanie Boxberg Peter Lienemann C. Matek S. J. Wagner Fabian J. Theis Eldad Klaiman Tingying Peng MedIm ViT 21 2 0 16 Jan 2024
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments Neeraj Kumar Singh Koyel Ghosh Joy Mahapatra Utpal Garain Apurbalal Senapati 22 0 0 20 Dec 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 41 5 0 29 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 25 0 18 Nov 2023
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification Md. Shajalal Sebastian Denef Md. Rezaul Karim Alexander Boden Gunnar Stevens XAI 24 5 0 31 Oct 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 40 4 0 02 Jun 2023
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking A. Nalmpantis Apostolos Panagiotopoulos John Gkountouras Konstantinos Papakostas Wilker Aziz 15 4 0 13 Apr 2023
Explanation of Face Recognition via Saliency Maps Yuhang Lu Touradj Ebrahimi XAI CVBM 13 3 0 12 Apr 2023
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 32 3 0 21 Feb 2023
SpecXAI -- Spectral interpretability of Deep Learning Models Stefan Druc Peter Wooldridge A. Krishnamurthy S. Sarkar Aditya Balu 25 0 0 20 Feb 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
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying-Cong Chen AAML 45 5 0 03 Feb 2023
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection Weijia Xu Sweta Agrawal Eleftheria Briakou Marianna J. Martindale Marine Carpuat HILM 27 47 0 18 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review Reza Azad A. Kazerouni Moein Heidari Ehsan Khodapanah Aghdam Amir Molaei Yiwei Jia Abin Jose Rijo Roy Dorit Merhof MedIm ViT 43 162 0 09 Jan 2023
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks Letitia Parcalabescu Anette Frank 37 22 0 15 Dec 2022
Explainable Artificial Intelligence for Improved Modeling of Processes Riza Velioglu Jan Philip Göpfert André Artelt Barbara Hammer AI4TS 22 4 0 01 Dec 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
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 31 5 0 05 Nov 2022
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang Jinghao Deng Xiaojun Quan Qifan Wang Shaoliang Nie 32 3 0 12 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 83 35 0 28 Sep 2022
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces Iñigo López-Riobóo Botana Carlos Eiras-Franco Julio César Hernández Castro Amparo Alonso-Betanzos 29 0 0 09 Sep 2022
A general-purpose method for applying Explainable AI for Anomaly Detection John Sipple Abdou Youssef 29 15 0 23 Jul 2022
Creating an Explainable Intrusion Detection System Using Self Organizing Maps Jesse Ables Thomas Kirby William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale 35 13 0 15 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 56 71 0 13 Jul 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 24 16 0 16 Jun 2022
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence H. Nguyen Michael Clement Boris Mansencal Pierrick Coupé MedIm 39 6 0 07 Jun 2022
Lack of Fluency is Hurting Your Translation Model J. Yoo Jaewoo Kang 23 0 0 24 May 2022
A graph-transformer for whole slide image classification Yi Zheng R. Gindra Emily J. Green E. Burks Margrit Betke J. Beane V. Kolachalama MedIm 50 123 0 19 May 2022
ViTOL: Vision Transformer for Weakly Supervised Object Localization Saurav Gupta Sourav Lakhotia Abhay Rawat Rahul Tallamraju WSOL 36 21 0 14 Apr 2022
No Token Left Behind: Explainability-Aided Image Classification and Generation Roni Paiss Hila Chefer Lior Wolf VLM 34 29 0 11 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 34 10 0 31 Mar 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 27 64 0 24 Feb 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal Ghada Elkhawaga Mervat Abuelkheir M. Reichert 20 1 0 16 Feb 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 32 9 0 01 Jan 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas Icard Noah D. Goodman Christopher Potts CML OOD 35 71 0 01 Dec 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation Michalis Korakakis Andreas Vlachos CLL 31 2 0 13 Sep 2021
Discretized Integrated Gradients for Explaining Language Models Soumya Sanyal Xiang Ren FAtt 17 53 0 31 Aug 2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images Jiafan Zhuang Wanying Tao Jianfei Xing Wei Shi Ruixuan Wang Weishi Zheng FAtt 45 3 0 25 Aug 2021