Human Interpretation of Saliency-based Explanation Over Text

27 January 2022

Papers citing "Human Interpretation of Saliency-based Explanation Over Text"

31 / 31 papers shown

Title
Natural Language Processing RELIES on Linguistics Juri Opitz Shira Wein Nathan Schneider AI4CE 75 7 0 09 May 2024
Can Interpretability Layouts Influence Human Perception of Offensive Sentences? Thiago Freitas dos Santos Nardine Osman Marco Schorlemmer 49 0 0 01 Mar 2024
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 55 38 0 17 Dec 2021
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 40 102 0 06 Dec 2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 139 61 0 07 Nov 2021
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Andreas Madsen Nicholas Meade Vaibhav Adlakha Siva Reddy 124 36 0 15 Oct 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 57 228 0 10 Aug 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 49 88 0 28 Jul 2021
On the Interaction of Belief Bias and Explanations Ana Valeria González Anna Rogers Anders Søgaard FAtt 45 19 0 29 Jun 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 173 671 0 28 Dec 2020
Challenging common interpretability assumptions in feature attribution explanations Jonathan Dinu Jeffrey P. Bigham J. Z. K. Unaffiliated 43 14 0 04 Dec 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 48 761 0 16 Nov 2020
Gradient-based Analysis of NLP Models is Manipulable Junlin Wang Jens Tuyls Eric Wallace Sameer Singh AAML FAtt 47 58 0 12 Oct 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models Ian Tenney James Wexler Jasmijn Bastings Tolga Bolukbasi Andy Coenen ... Ellen Jiang Mahima Pushkarna Carey Radebaugh Emily Reif Ann Yuan VLM 113 192 0 12 Aug 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 48 106 0 01 Jun 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 84 588 0 07 Apr 2020
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 73 901 0 13 Aug 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 89 1,427 0 17 Jul 2019
Saliency Maps Generation for Automatic Text Summarization David Tuckey Krysia Broda A. Russo FAtt 25 3 0 12 Jul 2019
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia Holger Schwenk Vishrav Chaudhary Shuo Sun Hongyu Gong Francisco Guzmán CVBM 93 404 0 10 Jul 2019
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play Shi Feng Jordan L. Boyd-Graber HAI 33 128 0 23 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 123 1,947 0 08 Oct 2018
Local Rule-Based Explanations of Black Box Decision Systems Riccardo Guidotti A. Monreale Salvatore Ruggieri D. Pedreschi Franco Turini F. Giannotti 118 436 0 28 May 2018
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 89 683 0 02 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 232 4,229 0 22 Jun 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis L. Arras G. Montavon K. Müller Wojciech Samek FAtt 50 354 0 22 Jun 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 149 5,920 0 04 Mar 2017
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach L. Arras F. Horn G. Montavon K. Müller Wojciech Samek 61 288 0 23 Dec 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 97 809 0 13 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 772 16,828 0 16 Feb 2016
SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis Lorenzo Gatti Marco Guerini Marco Turchi 23 109 0 30 Oct 2015