Explaining the Road Not Taken

Explaining the Road Not Taken

27 March 2021

Hua Shen

Ting-Hao 'Kenneth' Huang

Papers citing "Explaining the Road Not Taken"

12 / 12 papers shown

Title
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 62 122 0 27 Dec 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 70 177 0 12 Oct 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 19 54 0 10 Oct 2020
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels Hua Shen Ting-Hao 'Kenneth' Huang FAtt HAI 34 56 0 26 Aug 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 46 167 0 14 May 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 75 96 0 05 Mar 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 91 709 0 08 Jan 2020
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 59 567 0 26 Sep 2019
Self-Critical Reasoning for Robust Visual Question Answering Jialin Wu Raymond J. Mooney OOD NAI 61 161 0 24 May 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 381 634 0 04 Dec 2018
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 139 2,854 0 14 Mar 2017
Interpreting Neural Networks to Improve Politeness Comprehension Malika Aubakirova Joey Tianyi Zhou FAtt MILM 35 56 0 09 Oct 2016

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