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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,873 papers shown

Title
Contrastive Corpus Attribution for Explaining Representations Christy Lin Hugh Chen Chanwoo Kim Su-In Lee SSL 61 8 0 30 Sep 2022
Evaluation of importance estimators in deep learning classifiers for Computed Tomography L. Brocki Wistan Marchadour Jonas Maison B. Badic P. Papadimitroulas M. Hatt Franck Vermet N. C. Chung 51 4 0 30 Sep 2022
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 110 11 0 29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 132 37 0 28 Sep 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Zou TDI FAtt 95 37 0 27 Sep 2022
BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks Matteo Ferrante T. Boccato N. Toschi BDL UQCV 57 0 0 27 Sep 2022
Ablation Path Saliency Justus Sagemüller Olivier Verdier FAtt AAML 55 0 0 26 Sep 2022
Dead or Murdered? Predicting Responsibility Perception in Femicide News Reports Gosse Minnema Sara Gemelli C. Zanchi Tommaso Caselli Malvina Nissim 48 6 0 24 Sep 2022
I-SPLIT: Deep Network Interpretability for Split Computing Federico Cunico Luigi Capogrosso Francesco Setti D. Carra Franco Fummi Marco Cristani 99 14 0 23 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 246 121 0 22 Sep 2022
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 127 53 0 22 Sep 2022
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism Ioanna Gkartzonika Nikolaos Gkalelis Vasileios Mezaris 56 9 0 22 Sep 2022
Scope of Pre-trained Language Models for Detecting Conflicting Health Information Josepho D. Gatto Madhusudan Basak S. Preum 56 7 0 22 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 213 40 0 21 Sep 2022
Can Shadows Reveal Biometric Information? Safa C. Medin Amir Weiss F. Durand William T. Freeman G. Wornell CVBM 82 2 0 21 Sep 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection James Enouen Yan Liu 77 20 0 19 Sep 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio M. Jamnik 150 59 0 19 Sep 2022
An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images Lydia Abady E. D. Cannas Paolo Bestagini B. Tondi Stefano Tubaro Mauro Barni 100 16 0 19 Sep 2022
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models S. Karatsiolis A. Kamilaris FAtt 73 1 0 19 Sep 2022
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection Tulika Bose Nikolaos Aletras Irina Illina Dominique Fohr 88 1 0 18 Sep 2022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness Ya-Hsin Cheng Lihao Liu Shujun Wang Yueming Jin Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 75 7 0 18 Sep 2022
EMaP: Explainable AI with Manifold-based Perturbations Minh Nhat Vu Huy Mai My T. Thai AAML 72 2 0 18 Sep 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML 43 3 0 18 Sep 2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language? Sagnik Ray Choudhury Anna Rogers Isabelle Augenstein LRM 80 18 0 15 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 66 99 0 14 Sep 2022
Concept-Based Explanations for Tabular Data Varsha Pendyala Jihye Choi FaML XAI FAtt 77 3 0 13 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 84 4 0 09 Sep 2022
Adapting to Non-Centered Languages for Zero-shot Multilingual Translation Zhi Qu Taro Watanabe 112 7 0 09 Sep 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 175 43 0 08 Sep 2022
Responsibility: An Example-based Explainable AI approach via Training Process Inspection Faraz Khadivpour Arghasree Banerjee Matthew J. Guzdial XAI 76 2 0 07 Sep 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 110 6 0 07 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 121 17 0 07 Sep 2022
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes A. Fedorov Eloy P. T. Geenjaar Lei Wu Tristan Sylvain T. DeRamus Margaux Luck Maria B. Misiura R. Devon Hjelm Sergey Plis Vince D. Calhoun 53 3 0 07 Sep 2022
Change Detection for Local Explainability in Evolving Data Streams Johannes Haug Alexander Braun Stefan Zurn Gjergji Kasneci FAtt 60 10 0 06 Sep 2022
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis Qian Chen Xingjian Dong Guowei Tu Dong Wang Baoxuan Zhao Zhike Peng AI4CE 48 76 0 05 Sep 2022
Extend and Explain: Interpreting Very Long Language Models Joel Stremmel B. Hill Jeffrey S. Hertzberg Jaime Murillo Llewelyn Allotey Eran Halperin 59 4 0 02 Sep 2022
Exploring Gradient-based Multi-directional Controls in GANs Zikun Chen R. Jiang Brendan Duke Han Zhao P. Aarabi 70 10 0 01 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 83 15 0 31 Aug 2022
LUCID: Exposing Algorithmic Bias through Inverse Design Carmen Mazijn Carina E. A. Prunkl Andres Algaba J. Danckaert Vincent Ginis SyDa 90 4 0 26 Aug 2022
Towards Benchmarking Explainable Artificial Intelligence Methods Lars Holmberg 30 5 0 25 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Helen Zhou KELM OffRL 138 90 0 25 Aug 2022
Anomaly Attribution with Likelihood Compensation T. Idé Amit Dhurandhar Jirí Navrátil Moninder Singh Naoki Abe 43 15 0 23 Aug 2022
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation Andrew Herren P. R. Hahn FAtt 53 10 0 21 Aug 2022
Inferring Sensitive Attributes from Model Explanations Vasisht Duddu A. Boutet MIACV SILM 85 17 0 21 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 112 13 0 19 Aug 2022
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang Xingyu Zhao Gao Jin Xiaowei Huang AAML 90 31 0 19 Aug 2022
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 96 112 0 19 Aug 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA Rachneet Sachdeva Haritz Puerto Tim Baumgärtner Sewin Tariverdian Hao Zhang Kexin Wang H. Saad Leonardo F. R. Ribeiro Iryna Gurevych AAML 80 2 0 19 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members Daphne Cornelisse Thomas Rood Mateusz Malinowski Yoram Bachrach Tal Kachman 60 10 0 18 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 85 3 0 18 Aug 2022