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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
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 68 1 0 15 Jul 2024
TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation Roni Goldshmidt Miriam Horovicz LLMAG 58 14 0 14 Jul 2024
Layer-Wise Relevance Propagation with Conservation Property for ResNet Seitaro Otsuki T. Iida Félix Doublet Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Komei Sugiura FAtt 116 4 0 12 Jul 2024
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations David Nader-Palacio Daniel Rodríguez-Cárdenas Alejandro Velasco Dipin Khati Kevin Moran Denys Poshyvanyk 94 6 0 12 Jul 2024
Attribution Methods in Asset Pricing: Do They Account for Risk? Dangxing Chen Yuan Gao FAtt 103 3 0 12 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 78 3 0 11 Jul 2024
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing Hiba Najjar Miro Miranda Marlon Nuske R. Roscher A. Dengel 47 1 0 11 Jul 2024
Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis Gerard Christopher Yeo Shaz Furniturewala Kokil Jaidka 41 2 0 11 Jul 2024
Noise-Free Explanation for Driving Action Prediction Hongbo Zhu Theodor Wulff R. S. Maharjan Jinpei Han Angelo Cangelosi AAML FAtt 64 0 0 08 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 92 9 0 08 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 129 1 0 08 Jul 2024
Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information Vishnu S Pendyala Madhulika Dutta 73 0 0 07 Jul 2024
Explainable Metric Learning for Deflating Data Bias Emma Andrews Prabhat Mishra 84 1 0 05 Jul 2024
Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks Aaron Mueller CML 77 10 0 05 Jul 2024
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses Tianshu Feng Rohan D Gnanaolivu Abolfazl Safikhani Yuanhang Liu Jun Jiang Nicholas Chia A. Partin Priyanka Vasanthakumari Yitan Zhu Chen Wang 70 1 0 05 Jul 2024
Using LLMs to label medical papers according to the CIViC evidence model Markus Hisch Xing David Wang 80 0 0 05 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Mian AAML 67 1 0 05 Jul 2024
A Survey on Natural Language Counterfactual Generation Yongjie Wang Xiaoqi Qiu Yu Yue Xu Guo Zhiwei Zeng Yuhong Feng Zhiqi Shen 83 9 0 04 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 133 0 0 04 Jul 2024
Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes Stefan Scholz Nils B. Weidmann Zachary C. Steinert-Threlkeld Eda Keremoğlu Bastian Goldlücke 60 1 0 04 Jul 2024
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application Chuanpeng Yang Wang Lu Yao Zhu Yidong Wang Qian Chen Chenlong Gao Bingjie Yan Yiqiang Chen ALM KELM 101 32 0 02 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models Daking Rai Yilun Zhou Shi Feng Abulhair Saparov Ziyu Yao 192 33 0 02 Jul 2024
Integrated feature analysis for deep learning interpretation and class activation maps Yanli Li Tahereh Hassanzadeh D. Shamonin Monique Reijnierse A. H. V. D. H. Mil B. Stoel 75 0 0 01 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 166 1 0 01 Jul 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning Jiajun Zhu Siqi Miao Rex Ying Pan Li 77 2 0 30 Jun 2024
Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders Hok-Shing Lau Mark Huntly Nathon Morgan Adesua Iyenoma Biao Zeng Tim Bashford 89 1 0 29 Jun 2024
Explainability of Machine Learning Models under Missing Data Tuan L. Vo T. Nguyen Hugo Lewi Hammer Michael A. Riegler Pål Halvorsen Pal Halvorsen 139 3 0 29 Jun 2024
Axiomatization of Gradient Smoothing in Neural Networks Linjiang Zhou Xiaochuan Shi Chao Ma Zepeng Wang FAtt 69 1 0 29 Jun 2024
Evaluating Human Alignment and Model Faithfulness of LLM Rationale Mohsen Fayyaz Fan Yin Jiao Sun Nanyun Peng 101 4 0 28 Jun 2024
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons Dan Shi Renren Jin Tianhao Shen Weilong Dong Xinwei Wu Deyi Xiong 103 11 0 26 Jun 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction Yu Chen Tianyu Cui Alexander Capstick Nan Fletcher-Loyd Payam Barnaghi 81 0 0 25 Jun 2024
Large Language Models are Interpretable Learners Ruochen Wang Si Si Felix X. Yu Dorothea Wiesmann Cho-Jui Hsieh Inderjit Dhillon 98 3 0 25 Jun 2024
DWARF: Disease-weighted network for attention map refinement Haozhe Luo Aurélie Pahud de Mortanges Oana Inel Abraham Bernstein Mauricio Reyes MedIm 114 3 0 24 Jun 2024
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery Lingbai Kong Wengen Li Hanchen Yang Yichao Zhang Jihong Guan Shuigeng Zhou CML AI4TS 74 3 0 24 Jun 2024
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 163 2 0 24 Jun 2024
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory Yukun Zhang Qi Dong 114 0 0 23 Jun 2024
Privacy Implications of Explainable AI in Data-Driven Systems Fatima Ezzeddine 57 3 0 22 Jun 2024
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations Parikshit Solunke Vitória Guardieiro Joao Rulff Peter Xenopoulos G. Chan Brian Barr L. G. Nonato Claudio Silva 75 3 0 21 Jun 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 93 6 0 21 Jun 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics Jonas Dippel Niklas Prenißl Julius Hense Philipp Liznerski Tobias Winterhoff ... David Horst Maximilian Alber Lukas Ruff Klaus-Robert Müller Frederick Klauschen 81 5 0 21 Jun 2024
This Looks Better than That: Better Interpretable Models with ProtoPNeXt Frank Willard Luke Moffett Emmanuel Mokel Jon Donnelly Stark Guo Julia Yang Giyoung Kim Alina Jade Barnett Cynthia Rudin 73 5 0 20 Jun 2024
Investigating Mysteries of CoT-Augmented Distillation Somin Wadhwa Silvio Amir Byron C. Wallace ReLM LRM 94 8 0 20 Jun 2024
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion Soroush Oskouei Marit Valla André Pedersen Erik Smistad V. G. Dale ... T. Langø M. Ramnefjell L. A. Akslen Gabriel Kiss H. Sorger 80 1 0 20 Jun 2024
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference Xuehao Zhai Junqi Jiang Adam Dejl Antonio Rago Fangce Guo Francesca Toni Aruna Sivakumar 75 1 0 19 Jun 2024
Reasoning with trees: interpreting CNNs using hierarchies Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman 58 0 0 19 Jun 2024
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease Giorgio Dolci F. Cruciani M. A. Rahaman A. Abrol Jiayu Chen Z. Fu I. Galazzo Gloria Menegaz Vince D. Calhoun 93 2 0 19 Jun 2024
GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping A. Daruna Vasily Zadorozhnyy Georgina Lukoczki Han-Pang Chiu 45 1 0 18 Jun 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang Shiwei Tan Hao Wang BDL 126 7 0 18 Jun 2024
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification D. Serramazza Thach le Nguyen Georgiana Ifrim 70 3 0 18 Jun 2024
MiSuRe is all you need to explain your image segmentation Syed Nouman Hasany Fabrice Mériaudeau Caroline Petitjean 39 2 0 18 Jun 2024