Why Attentions May Not Be Interpretable?

10 June 2020

Jian Liang

Hao Li

Papers citing "Why Attentions May Not Be Interpretable?"

26 / 26 papers shown

Title
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification Leon Eshuijs Shihan Wang Antske Fokkens 26 0 0 09 May 2025
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification Mario Padilla Rodriguez Mohamed Nafea 28 0 0 25 Mar 2025
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging Minjae Chung Jong Bum Won Ganghyun Kim Yujin Kim Utku Ozbulak MedIm 62 0 0 12 Mar 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 60 0 0 22 Jan 2025
Continuous Risk Prediction Yi Dai 17 1 0 12 Oct 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning Jiajun Zhu Siqi Miao Rex Ying Pan Li 40 1 0 30 Jun 2024
Infinite-Dimensional Feature Interaction Chenhui Xu Fuxun Yu Maoliang Li Zihao Zheng Zirui Xu Jinjun Xiong Xiang Chen 42 1 0 22 May 2024
Analyzing Semantic Change through Lexical Replacements Francesco Periti Pierluigi Cassotti Haim Dubossarsky Nina Tahmasebi 57 6 0 29 Apr 2024
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks Xiaolei Lu Jianghong Ma 23 0 0 29 Mar 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal Yeo Wei Jie Ranjan Satapathy Erik Cambria 19 5 0 13 Feb 2024
Neuron-Level Knowledge Attribution in Large Language Models Zeping Yu Sophia Ananiadou FAtt KELM 29 7 0 19 Dec 2023
CGS-Mask: Making Time Series Predictions Intuitive for All Feng Lu Wei Li Yifei Sun Cheng Song Yufei Ren Albert Y. Zomaya AI4TS 33 0 0 15 Dec 2023
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning Chong Li Shaonan Wang Yunhao Zhang Jiajun Zhang Chengqing Zong 38 4 0 16 Oct 2023
Evaluating Explanation Methods for Vision-and-Language Navigation Guanqi Chen Lei Yang Guanhua Chen Jia Pan XAI 23 0 0 10 Oct 2023
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction M. Wenzel Erik Grüner Nils Strodthoff ViT 32 7 0 07 Sep 2023
Explainability for Large Language Models: A Survey Haiyan Zhao Hanjie Chen Fan Yang Ninghao Liu Huiqi Deng Hengyi Cai Shuaiqiang Wang Dawei Yin Jundong Li LRM 29 411 0 02 Sep 2023
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry Y. Liu Han-Juan Shao Bing Bai AI4CE 26 2 0 03 Aug 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 24 18 0 12 Jul 2023
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling Yifei Zhang Nengneng Gao Cunqing Ma 17 6 0 07 Dec 2022
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US Gil Semo Dor Bernsohn Ben Hagag Gila Hayat Joel Niklaus AILaw ELM 31 19 0 01 Nov 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 24 25 0 30 Oct 2022
TestAug: A Framework for Augmenting Capability-based NLP Tests Guanqun Yang Mirazul Haque Qiaochu Song Wei Yang Xueqing Liu ELM 34 0 0 14 Oct 2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks Chenxi Sun Hongyan Li Moxian Song D. Cai B. Zhang linda Qiao 26 8 0 06 Oct 2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 71 78 0 30 Jun 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test Y. Liu Haoliang Li Yangyang Guo Chen Kong Jing Li Shiqi Wang FAtt 121 42 0 28 Jan 2022
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021