An Empirical Study on Explanations in Out-of-Domain Settings

28 February 2022

Papers citing "An Empirical Study on Explanations in Out-of-Domain Settings"

32 / 32 papers shown

Title
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability Joakim Edin Andreas Geert Motzfeldt Casper L. Christensen Tuukka Ruotsalo Lars Maaløe Maria Maistro 113 4 0 15 Aug 2024
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Andreas Madsen Nicholas Meade Vaibhav Adlakha Siva Reddy 132 36 0 15 Oct 2021
SPECTRA: Sparse Structured Text Rationalization Nuno M. Guerreiro André F. T. Martins 61 27 0 09 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 83 243 0 02 Sep 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases Ilias Chalkidis Manos Fergadiotis D. Tsarapatsanis Nikolaos Aletras Ion Androutsopoulos Prodromos Malakasiotis AILaw 51 109 0 24 Mar 2021
Debugging Tests for Model Explanations Julius Adebayo M. Muelly Ilaria Liccardi Been Kim FAtt 66 181 0 10 Nov 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 313 182 0 24 Oct 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 55 49 0 09 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 81 224 0 25 Sep 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 89 163 0 25 May 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation Brendan Kennedy Xisen Jin Aida Mostafazadeh Davani Morteza Dehghani Xiang Ren 94 141 0 05 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 82 164 0 30 Apr 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan Basel Alomair OOD 193 434 0 13 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 124 597 0 07 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 291 300 0 17 Mar 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 117 637 0 08 Nov 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 108 684 0 09 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 170 1,695 0 06 Jun 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 82 565 0 06 Jun 2019
Neural Legal Judgment Prediction in English Ilias Chalkidis Ion Androutsopoulos Nikolaos Aletras AILaw ELM 172 338 0 05 Jun 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 82 214 0 20 May 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 145 1,324 0 26 Feb 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 417 638 0 04 Dec 2018
Context-Aware Attention for Understanding Twitter Abuse Tuhin Chakrabarty Kilol Gupta 66 28 0 24 Sep 2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Kashyap Popat Subhabrata Mukherjee Andrew Yates Gerhard Weikum HILM 87 305 0 17 Sep 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 201 3,873 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Investigating the influence of noise and distractors on the interpretation of neural networks Pieter-Jan Kindermans Kristof T. Schütt K. Müller Sven Dähne FAtt 71 125 0 22 Nov 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 118 812 0 13 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 268 6,113 0 04 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014