Is Attention Interpretable?

9 June 2019

Papers citing "Is Attention Interpretable?"

50 / 165 papers shown

Title
News-based Business Sentiment and its Properties as an Economic Index Kazuhiro Seki Y. Ikuta Yoichi Matsubayashi 24 23 0 20 Oct 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 111 35 0 15 Oct 2021
A Framework for Rationale Extraction for Deep QA models Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra AAML FAtt 22 0 0 09 Oct 2021
Explaining the Attention Mechanism of End-to-End Speech Recognition Using Decision Trees Yuanchao Wang Wenjing Du Chenghao Cai Yanyan Xu 34 1 0 08 Oct 2021
Learning Predictive and Interpretable Timeseries Summaries from ICU Data Nari Johnson S. Parbhoo A. Ross Finale Doshi-Velez AI4TS 27 7 0 22 Sep 2021
Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain A. Memariani Martin Glauer Fabian Neuhaus Till Mossakowski Janna Hastings 36 5 0 19 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 138 0 09 Sep 2021
Attributing Fair Decisions with Attention Interventions Ninareh Mehrabi Umang Gupta Fred Morstatter Greg Ver Steeg Aram Galstyan 32 21 0 08 Sep 2021
Counterfactual Evaluation for Explainable AI Yingqiang Ge Shuchang Liu Zelong Li Shuyuan Xu Shijie Geng Yunqi Li Juntao Tan Fei Sun Yongfeng Zhang CML 38 14 0 05 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 32 16 0 31 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 21 23 0 27 Aug 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 29 459 0 26 Aug 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation Wei Zhang Ziming Huang Yada Zhu Guangnan Ye Xiaodong Cui Fan Zhang 31 17 0 09 Jun 2021
MERLOT: Multimodal Neural Script Knowledge Models Rowan Zellers Ximing Lu Jack Hessel Youngjae Yu J. S. Park Jize Cao Ali Farhadi Yejin Choi VLM LRM 33 372 0 04 Jun 2021
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition Shengfei Lyu Xingyu Wu Jinlong Li Qiuju Chen Huanhuan Chen 35 5 0 19 May 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare Chang Lu Chandan K. Reddy Prithwish Chakraborty Samantha Kleinberg Yue Ning 21 57 0 16 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 27 37 0 06 May 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 33 20 0 26 Apr 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 19 33 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks Hung Le Nancy F. Chen Guosheng Lin MLLM 28 19 0 16 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 43 48 0 20 Mar 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 37 376 0 14 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization Austin P. Wright Omar Shaikh Haekyu Park Will Epperson Muhammed Ahmed Stephane Pinel Duen Horng Chau Diyi Yang 17 21 0 08 Feb 2021
Explaining Black-box Models for Biomedical Text Classification M. Moradi Matthias Samwald 41 21 0 20 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 24 22 0 16 Dec 2020
Writing Polishment with Simile: Task, Dataset and A Neural Approach Jiayi Zhang Zhi Cui Xiaoqiang Xia Yalong Guo Yanran Li Chen Wei Jianwei Cui 20 17 0 15 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 15 42 0 14 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 28 119 0 03 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 46 38 0 03 Dec 2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations João Bento Pedro Saleiro André F. Cruz Mário A. T. Figueiredo P. Bizarro FAtt AI4TS 24 88 0 30 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma W. Zhang Mingyu Guo Hu Wang Quan Z. Sheng 13 126 0 10 Nov 2020
ABNIRML: Analyzing the Behavior of Neural IR Models Sean MacAvaney Sergey Feldman Nazli Goharian Doug Downey Arman Cohan 23 49 0 02 Nov 2020
Towards Interpreting BERT for Reading Comprehension Based QA Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra 42 30 0 18 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 49 174 0 12 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Fine-Grained Grounding for Multimodal Speech Recognition Tejas Srinivasan Ramon Sanabria Florian Metze Desmond Elliott 23 11 0 05 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 36 214 0 01 Oct 2020
Examining the rhetorical capacities of neural language models Zining Zhu Chuer Pan Mohamed Abdalla Frank Rudzicz 36 10 0 01 Oct 2020
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension J. Malmaud R. Levy Yevgeni Berzak 30 31 0 30 Sep 2020
Spatial Attention as an Interface for Image Captioning Models P. Sadler 28 0 0 29 Sep 2020
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models Joseph F DeRose Jiayao Wang M. Berger 17 83 0 03 Sep 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 14 60 0 04 Aug 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani L. Varshney Caiming Xiong R. Socher Nazneen Rajani 29 288 0 26 Jun 2020
Why Attentions May Not Be Interpretable? Bing Bai Jian Liang Guanhua Zhang Hao Li Kun Bai Fei Wang FAtt 25 56 0 10 Jun 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 60 778 0 02 May 2020
When BERT Plays the Lottery, All Tickets Are Winning Sai Prasanna Anna Rogers Anna Rumshisky MILM 16 186 0 01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
Towards Transparent and Explainable Attention Models Akash Kumar Mohankumar Preksha Nema Sharan Narasimhan Mitesh M. Khapra Balaji Vasan Srinivasan Balaraman Ravindran 42 99 0 29 Apr 2020