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 / 61 papers shown

Title
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 39 2 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 67 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 44 3 0 08 Jul 2024
Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsman Alexei A. Efros Jacob Steinhardt MILM 56 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 38 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 43 7 0 28 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 13 2 0 16 Jan 2024
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 27 5 0 29 Nov 2023
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification Md. Shajalal Sebastian Denef Md. Rezaul Karim Alexander Boden Gunnar Stevens XAI 11 5 0 31 Oct 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 35 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 22 3 0 21 Feb 2023
SpecXAI -- Spectral interpretability of Deep Learning Models Stefan Druc Peter Wooldridge A. Krishnamurthy S. Sarkar Aditya Balu 19 0 0 20 Feb 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
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying Chen AAML 37 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 16 46 0 18 Jan 2023
Explainable Artificial Intelligence for Improved Modeling of Processes Riza Velioglu Jan Philip Göpfert André Artelt Barbara Hammer AI4TS 14 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
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang Jinghao Deng Xiaojun Quan Qifan Wang Shaoliang Nie 28 3 0 12 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 75 35 0 28 Sep 2022
A general-purpose method for applying Explainable AI for Anomaly Detection John Sipple Abdou Youssef 25 14 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 30 13 0 15 Jul 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 20 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 33 6 0 07 Jun 2022
Lack of Fluency is Hurting Your Translation Model J. Yoo Jaewoo Kang 18 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 39 121 0 19 May 2022
No Token Left Behind: Explainability-Aided Image Classification and Generation Roni Paiss Hila Chefer Lior Wolf VLM 31 29 0 11 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 32 10 0 31 Mar 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal Ghada Elkhawaga Mervat Abuelkheir M. Reichert 12 1 0 16 Feb 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 14 9 0 01 Jan 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 31 9 0 06 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas F. Icard Noah D. Goodman Christopher Potts CML OOD 18 70 0 01 Dec 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation Michalis Korakakis Andreas Vlachos CLL 25 2 0 13 Sep 2021
Discretized Integrated Gradients for Explaining Language Models Soumya Sanyal Xiang Ren FAtt 14 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 32 3 0 25 Aug 2021
IA-RED $^2$ : Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan Rameswar Panda Yifan Jiang Zhangyang Wang Rogerio Feris A. Oliva VLM ViT 39 153 0 23 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 21 38 0 18 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 18 8 0 13 May 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 28 25 0 20 Mar 2021
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang FAtt 30 17 0 14 Oct 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 28 15 0 17 Jul 2020
Attribution in Scale and Space Shawn Xu Subhashini Venugopalan Mukund Sundararajan FAtt BDL 9 71 0 03 Apr 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Y. Zou FAtt TDI 25 108 0 23 Feb 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 27 143 0 10 Feb 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 23 52 0 10 Feb 2020