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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown

Title
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation Junehyoung Kwon Eunju Lee Yunsung Cho Youngbin Kim 97 5 0 28 May 2024
Exploring Activation Patterns of Parameters in Language Models Yudong Wang Damai Dai Zhifang Sui 54 2 0 28 May 2024
FAIIR: Building Toward A Conversational AI Agent Assistant for Youth Mental Health Service Provision Stephen Obadinma Alia Lachana M. Norman Jocelyn Rankin Joanna Yu Xiaodan Zhu Darren Mastropaolo D. Pandya Roxana Sultan Elham Dolatabadi AI4MH 117 1 0 28 May 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 98 2 0 27 May 2024
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 107 4 0 27 May 2024
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery Yingying Fang Zihao Jin Xiaodan Xing Simon Walsh Guang Yang MedIm 73 1 0 23 May 2024
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records Adibvafa Fallahpour Mahshid Alinoori Arash Afkanpour Amrit Krishnan Mamba 81 4 0 23 May 2024
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization Yitao Peng Lianghua He D. Hu FAtt 118 0 0 23 May 2024
Does context matter in digital pathology? Paulina Tomaszewska Mateusz Sperkowski Przemysław Biecek 30 0 0 23 May 2024
A Study of Posterior Stability for Time-Series Latent Diffusion Yangming Li M. Schaar 73 0 0 22 May 2024
Exploring the Relationship Between Feature Attribution Methods and Model Performance Priscylla Silva Claudio T. Silva L. G. Nonato FAtt 60 1 0 22 May 2024
Regression Trees Know Calculus Nathan Wycoff 85 0 0 22 May 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning Zijian Zhou Xiaoqiang Lin Xinyi Xu Alok Prakash Daniela Rus K. H. Low 72 4 0 22 May 2024
Part-based Quantitative Analysis for Heatmaps Osman Tursun Sinan Kalkan Simon Denman Sridha Sridharan Clinton Fookes 85 0 0 22 May 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors Shuai Liu Boyang Li Zhiyu Fang Mingyue Cui Kai Huang 67 1 0 21 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Yuang Zhao Zhaocheng Du Qinglin Jia Linxuan Zhang Zhenhua Dong Ruiming Tang 199 3 0 21 May 2024
Unveiling and Manipulating Prompt Influence in Large Language Models Zijian Feng Hanzhang Zhou Zixiao Zhu Junlang Qian Kezhi Mao 91 2 0 20 May 2024
The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks Lucius Bushnaq Stefan Heimersheim Nicholas Goldowsky-Dill Dan Braun Jake Mendel Kaarel Hänni Avery Griffin Jörn Stöhler Magdalena Wache Marius Hobbhahn FAtt 105 3 0 17 May 2024
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning Dan Braun Jordan K. Taylor Nicholas Goldowsky-Dill Lee D. Sharkey 83 40 0 17 May 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing Xiaotian Lu Jiyi Li Zhen Wan Xiaofeng Lin Koh Takeuchi Hisashi Kashima XAI FAtt LRM 70 1 0 17 May 2024
Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models Rudolf Herdt Louisa Kinzel Johann Georg Maass Marvin Walther Henning Fröhlich Tim Schubert Peter Maass C. Schaaf 132 0 0 17 May 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 114 1 0 17 May 2024
Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting Xinzhe Li Ming Liu 87 0 0 17 May 2024
Parallel Backpropagation for Shared-Feature Visualization Alexander Lappe Anna Bognár Ghazaleh Ghamkhari Nejad A. Mukovskiy Lucas M. Martini Martin A. Giese Rufin Vogels FAtt 55 1 0 16 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 78 4 0 16 May 2024
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks Michail Mamalakis Antonios Mamalakis Ingrid Agartz L. Morch-Johnsen Graham K Murray J. Suckling Pietro Lio 180 1 0 16 May 2024
Mitigating Text Toxicity with Counterfactual Generation Milan Bhan Jean-Noel Vittaut Nina Achache Victor Legrand Nicolas Chesneau A. Blangero Juliette Murris Marie-Jeanne Lesot MedIm 215 0 0 16 May 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck Zichuan Liu Tianchun Wang Jimeng Shi Xu Zheng Zhuomin Chen Lei Song Wenqian Dong J. Obeysekera Farhad Shirani Dongsheng Luo AI4TS 86 11 0 15 May 2024
Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions Hitoshi Yoshioka Hirotada Hashimoto 31 1 0 15 May 2024
Deep Learning in Earthquake Engineering: A Comprehensive Review Yazhou Xie AI4CE 110 5 0 15 May 2024
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations? Mateusz Cedro Marcin Chlebus 67 1 0 14 May 2024
Improving Transformers with Dynamically Composable Multi-Head Attention Da Xiao Qingye Meng Shengping Li Xingyuan Yuan 58 4 0 14 May 2024
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution Haoyu Deng Zijing Xu Yule Duan Xiao Wu Wenjie Shu Liang-Jian Deng SupR 69 5 0 13 May 2024
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving Abdul Hannan Khan Syed Tahseen Raza Rizvi Dheeraj Varma Chittari Macharavtu Andreas Dengel 70 0 0 13 May 2024
$Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions$ Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions Fan Wang Adams Wai-Kin Kong 71 2 0 10 May 2024
Natural Language Processing RELIES on Linguistics Juri Opitz Shira Wein Nathan Schneider AI4CE 167 8 0 09 May 2024
Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance Goran Muric Ben Delay Steven Minton 66 1 0 08 May 2024
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention Mandani Ntekouli Gerasimos Spanakis L. Waldorp A. Roefs 55 0 0 08 May 2024
Mitigating Bias Using Model-Agnostic Data Attribution Sander De Coninck Wei-Cheng Wang Pieter Simoens 59 2 0 08 May 2024
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes Xiaochen Zheng Manuel Schürch Xingyu Chen M. A. Komninou Reto Schüpbach Ahmed Allam Jan Bartussek Michael Krauthammer 68 0 0 06 May 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification Matteo Bianchi Antonio De Santis Andrea Tocchetti Marco Brambilla MILM FAtt 56 4 0 06 May 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Zelei Cheng Xian Wu Jiahao Yu Sabrina Yang Gang Wang Xinyu Xing OffRL 83 6 0 05 May 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 76 4 0 04 May 2024
A Fresh Look at Sanity Checks for Saliency Maps Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne FAtt LRM 107 7 0 03 May 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time Shengyao Lu Bang Liu Keith G. Mills Jiao He Di Niu 199 3 0 02 May 2024
Explaining models relating objects and privacy Alessio Xompero Myriam Bontonou J. Arbona Emmanouil Benetos Andrea Cavallaro 77 1 0 02 May 2024
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attribution Methods Peiyu Yang Naveed Akhtar Jiantong Jiang Ajmal Mian XAI 73 2 0 02 May 2024
Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data Zhengsen Xu Jonathan Li Sibo Cheng Xue Rui Yu Zhao ... Haiyan Guan Aryan Sharma Matthew Erxleben Ryan Chang Linlin Xu 100 0 0 02 May 2024
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis Ortal Hirszowicz Dvir Aran 35 1 0 01 May 2024
A Self-explaining Neural Architecture for Generalizable Concept Learning Sanchit Sinha Guangzhi Xiong Aidong Zhang 90 4 0 01 May 2024