Do Feature Attribution Methods Correctly Attribute Features?

27 April 2021

Papers citing "Do Feature Attribution Methods Correctly Attribute Features?"

30 / 80 papers shown

Title
Tracr: Compiled Transformers as a Laboratory for Interpretability David Lindner János Kramár Sebastian Farquhar Matthew Rahtz Tom McGrath Vladimir Mikulik 16 70 0 12 Jan 2023
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation Julius Adebayo M. Muelly H. Abelson Been Kim 11 86 0 09 Dec 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio' AAML 11 0 0 14 Nov 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 104 107 0 22 Sep 2022
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death Joshua C. Chang Ted L. Chang Carson C. Chow R. Mahajan Sonya Mahajan Joe Maisog Shashaank Vattikuti Hongjing Xia FAtt OOD 13 0 0 28 Aug 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 8 7 0 27 Jun 2022
Robustness of Explanation Methods for NLP Models Shriya Atmakuri Tejas Chheda Dinesh Kandula Nishant Yadav Taesung Lee Hessel Tuinhof FAtt AAML 11 4 0 24 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 17 34 0 10 Jun 2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models Kaiji Lu Anupam Datta 13 0 0 01 Jun 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 62 8 0 18 May 2022
ExSum: From Local Explanations to Model Understanding Yilun Zhou Marco Tulio Ribeiro J. Shah FAtt LRM 8 25 0 30 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 6 40 0 25 Apr 2022
Missingness Bias in Model Debugging Saachi Jain Hadi Salman E. Wong Pengchuan Zhang Vibhav Vineet Sai H. Vemprala A. Madry 20 37 0 19 Apr 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 42 88 0 16 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs Leonardo Lucio Custode Giovanni Iacca 6 13 0 10 Feb 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 11 73 0 07 Feb 2022
Visualizing Automatic Speech Recognition -- Means for a Better Understanding? Karla Markert Romain Parracone Mykhailo Kulakov Philip Sperl Ching-yu Kao Konstantin Böttinger 11 8 0 01 Feb 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 21 15 0 27 Jan 2022
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes Mazda Moayeri Phillip E. Pope Yogesh Balaji S. Feizi VLM 19 52 0 26 Jan 2022
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 107 75 0 14 Nov 2021
Revisiting Sanity Checks for Saliency Maps G. Yona D. Greenfeld AAML FAtt 11 25 0 27 Oct 2021
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 13 16 0 14 Oct 2021
Combining Feature and Instance Attribution to Detect Artifacts Pouya Pezeshkpour Sarthak Jain Sameer Singh Byron C. Wallace TDI 11 43 0 01 Jul 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 29 31 0 23 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 33 4 0 15 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Mohit Bansal OODD LRM FAtt 13 91 0 01 Jun 2021
Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 30 17 0 13 May 2021
Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents Tobias Huber Benedikt Limmer Elisabeth André FAtt 12 14 0 18 Jan 2021
RoCUS: Robot Controller Understanding via Sampling Yilun Zhou Serena Booth Nadia Figueroa J. Shah 12 13 0 25 Dec 2020
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 193 296 0 15 Oct 2012