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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
An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder Ana-Maria Bucur Adrian Cosma Liviu P. Dinu Paolo Rosso 65 8 0 02 Jul 2022
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection Zhi Lu V. Thing AAML 25 5 0 02 Jul 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Xinze Wang Yang Liu TDI FaML 108 34 0 30 Jun 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 100 90 0 29 Jun 2022
Private Graph Extraction via Feature Explanations Iyiola E. Olatunji Mandeep Rathee Thorben Funke Megha Khosla AAML FAtt 74 12 0 29 Jun 2022
TE2Rules: Explaining Tree Ensembles using Rules G. R. Lal Xiaotong Chen Varun Mithal 68 3 0 29 Jun 2022
On the amplification of security and privacy risks by post-hoc explanations in machine learning models Pengrui Quan Supriyo Chakraborty J. Jeyakumar Mani B. Srivastava MIACV AAML 93 5 0 28 Jun 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 75 15 0 28 Jun 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 77 6 0 28 Jun 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 126 12 0 28 Jun 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 106 7 0 27 Jun 2022
Thermodynamics-inspired Explanations of Artificial Intelligence S. Mehdi P. Tiwary AI4CE 70 18 0 27 Jun 2022
Discovering Salient Neurons in Deep NLP Models Nadir Durrani Fahim Dalvi Hassan Sajjad KELM MILM 114 16 0 27 Jun 2022
Explaining the root causes of unit-level changes Kailash Budhathoki George Michailidis Dominik Janzing FAtt 61 4 0 26 Jun 2022
Robustness of Explanation Methods for NLP Models Shriya Atmakuri Tejas Chheda Dinesh Kandula Nishant Yadav Taesung Lee Hessel Tuinhof FAtt AAML 72 4 0 24 Jun 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives Zhuofan Ying Peter Hase Joey Tianyi Zhou LRM 87 13 0 22 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 40 0 0 22 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 148 147 0 22 Jun 2022
Understanding Robust Learning through the Lens of Representation Similarities Christian Cianfarani A. Bhagoji Vikash Sehwag Ben Y. Zhao Prateek Mittal Haitao Zheng OOD 81 16 0 20 Jun 2022
Visualizing and Understanding Contrastive Learning Fawaz Sammani Boris Joukovsky Nikos Deligiannis SSL FAtt 96 9 0 20 Jun 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara Rex Ying Zitao Zhang Zhihao Han Yinan Shan U. Brandes S. Schemm Ce Zhang 88 57 0 20 Jun 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 47 9 0 17 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou FAtt 93 22 0 17 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 55 5 0 16 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 112 16 0 16 Jun 2022
Inherent Inconsistencies of Feature Importance Nimrod Harel Uri Obolski Ran Gilad-Bachrach FAtt 40 0 0 16 Jun 2022
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations Teodor Chiaburu F. Biessmann Frank Haußer 59 2 0 15 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 75 14 0 15 Jun 2022
Attributions Beyond Neural Networks: The Linear Program Case Florian Peter Busch Matej Zečević Kristian Kersting Devendra Singh Dhami FAtt 59 0 0 14 Jun 2022
Machines Explaining Linear Programs David Steinmann Matej Zečević Devendra Singh Dhami Kristian Kersting FAtt 26 0 0 14 Jun 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu Andrew L. Beam OOD VLM 51 5 0 14 Jun 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 82 6 0 14 Jun 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure Paul Novello Thomas Fel David Vigouroux FAtt 85 29 0 13 Jun 2022
Geometrically Guided Integrated Gradients Md. Mahfuzur Rahman N. Lewis Sergey Plis FAtt AAML 34 0 0 13 Jun 2022
A Functional Information Perspective on Model Interpretation Itai Gat Nitay Calderon Roi Reichart Tamir Hazan AAML FAtt 84 6 0 12 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 125 17 0 10 Jun 2022
GAMR: A Guided Attention Model for (visual) Reasoning Mohit Vaishnav Thomas Serre LRM 88 16 0 10 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 89 39 0 10 Jun 2022
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks Claudia V. Roberts Ehtsham Elahi Ashok Chandrashekar FAtt 63 4 0 09 Jun 2022
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer Trung Le Eli Shlizerman 73 24 0 09 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 123 13 0 09 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 65 30 0 09 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 96 37 0 08 Jun 2022
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark Mohamed Karim Belaid Eyke Hüllermeier Maximilian Rabus Ralf Krestel ELM 50 0 0 08 Jun 2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making Mingxuan Liu Yilin Ning Han Yuan M. Ong Nan Liu FAtt 45 1 0 08 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 87 150 0 07 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 85 20 0 07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 85 10 0 07 Jun 2022
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data H. Yuan Shing Chan Andrew P. Creagh C. Tong Aidan Acquah David Clifton Aiden Doherty SSL 107 94 0 06 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 97 11 0 06 Jun 2022