Towards Transparent and Explainable Attention Models

Towards Transparent and Explainable Attention Models

29 April 2020

Akash Kumar Mohankumar

Sharan Narasimhan

Mitesh M. Khapra

Balaji Vasan Srinivasan

Balaraman Ravindran

Papers citing "Towards Transparent and Explainable Attention Models"

16 / 16 papers shown

Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 136 0 0 15 Feb 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 58 0 0 22 Jan 2025
Should We Attend More or Less? Modulating Attention for Fairness A. Zayed Gonçalo Mordido Samira Shabanian Sarath Chandar 37 10 0 22 May 2023
SEAT: Stable and Explainable Attention Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang OOD 18 18 0 23 Nov 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 18 0 0 15 Nov 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 25 82 0 13 Oct 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers Zheng Tang Mihai Surdeanu 19 6 0 25 Apr 2022
A Survey on Aspect-Based Sentiment Classification Gianni Brauwers Flavius Frasincar LLMAG 31 109 0 27 Mar 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 31 296 0 27 Mar 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 14 196 0 31 Jan 2022
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 29 23 0 09 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 18 41 0 26 Oct 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 24 16 0 31 Aug 2021
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention T. Gomez Suiyi Ling Thomas Fréour Harold Mouchère 10 5 0 04 Jun 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 13 37 0 06 May 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018