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Why Attentions May Not Be Interpretable?

Knowledge Discovery and Data Mining (KDD), 2020

10 June 2020

Jian Liang

Hao Li

Papers citing "Why Attentions May Not Be Interpretable?"

32 / 32 papers shown

Title
PruneGCRN: Minimizing and explaining spatio-temporal problems through node pruning Javier García-Sigüenza Mirco Nanni Faraón Llorens-Largo José F. Vicent 40 0 0 12 Oct 2025
Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network Vu Duc Anh Nguyen Ziyue Li 34 0 0 10 Oct 2025
Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness Tsubasa Takahashi Shojiro Yamabe Futa Waseda Kento Sasaki AAML 84 0 0 01 Oct 2025
Unsupervised Candidate Ranking for Lexical Substitution via Holistic Sentence Semantics Zhongyang Hu Naijie Gu Xiangzhi Tao Tianhui Gu Yibing Zhou 60 0 0 15 Sep 2025
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models? Sigma Jahan Mohammad Masudur Rahman 104 0 0 09 Jun 2025
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification Leon Eshuijs Shihan Wang Antske Fokkens 359 0 0 09 May 2025
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification Mario Padilla Rodriguez Mohamed Nafea 138 3 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 356 5 0 12 Mar 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based ExplanationInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2025 Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 221 1 0 22 Jan 2025
Continuous Risk Prediction Yi Dai 128 0 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 189 2 0 30 Jun 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models Meftahul Ferdaus Mahdi Abdelguerfi Elias Ioup Kendall N. Niles Ken Pathak Steve Sloan 290 23 0 01 Jun 2024
Infinite-Dimensional Feature Interaction Chenhui Xu Fuxun Yu Maoliang Li Zihao Zheng Zirui Xu Jinjun Xiong Xiang Chen 273 1 0 22 May 2024
Analyzing Semantic Change through Lexical Replacements Francesco Periti Pierluigi Cassotti Haim Dubossarsky Nina Tahmasebi 161 13 0 29 Apr 2024
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks Xiaolei Lu Jianghong Ma 156 4 0 29 Mar 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal Yeo Wei Jie Frank Xing Xiaoshi Zhong 268 8 0 13 Feb 2024
Neuron-Level Knowledge Attribution in Large Language Models Zeping Yu Sophia Ananiadou FAtt KELM 226 27 0 19 Dec 2023
CGS-Mask: Making Time Series Predictions Intuitive for AllAAAI Conference on Artificial Intelligence (AAAI), 2023 Feng Lu Wei Li Yifei Sun Cheng Song Yufei Ren Albert Y. Zomaya AI4TS 190 1 0 15 Dec 2023
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Chong Li Shaonan Wang Yunhao Zhang Jiajun Zhang Chengqing Zong 176 7 0 16 Oct 2023
Evaluating Explanation Methods for Vision-and-Language NavigationEuropean Conference on Artificial Intelligence (ECAI), 2023 Guanqi Chen Lei Yang Guanhua Chen Jia Pan XAI 175 1 0 10 Oct 2023
Insights Into the Inner Workings of Transformer Models for Protein Function PredictionBioinformatics (Bioinformatics), 2023 M. Wenzel Erik Grüner Nils Strodthoff ViT 175 13 0 07 Sep 2023
Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Haiyan Zhao Hanjie Chen Fan Yang Ninghao Liu Huiqi Deng Hengyi Cai Shuaiqiang Wang D. Yin Jundong Li LRM 353 675 0 02 Sep 2023
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCAAI International Conference on Artificial Intelligence (ICCAI), 2023 Y. Liu Han-Juan Shao Bing Bai AI4CE 239 3 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 204 27 0 12 Jul 2023
Learning to Select Prototypical Parts for Interpretable Sequential Data ModelingAAAI Conference on Artificial Intelligence (AAAI), 2022 Yifei Zhang Nengneng Gao Cunqing Ma 147 7 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 240 25 0 01 Nov 2022
Interpretable Geometric Deep Learning via Learnable Randomness InjectionInternational Conference on Learning Representations (ICLR), 2022 Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 156 35 0 30 Oct 2022
TestAug: A Framework for Augmenting Capability-based NLP TestsInternational Conference on Computational Linguistics (COLING), 2022 Guanqun Yang Mirazul Haque Qiaochu Song Wei Yang Xueqing Liu ELM 136 0 0 14 Oct 2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural NetworksPatterns (Patterns), 2022 Chenxi Sun Hongyan Li Moxian Song D. Cai B. Zhang linda Qiao 144 10 0 06 Oct 2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 238 101 0 30 Jun 2022
Rethinking Attention-Model Explainability through Faithfulness Violation TestInternational Conference on Machine Learning (ICML), 2022 Zichen Liu Haoliang Li Yangyang Guo Chen Kong Jing Li Shiqi Wang FAtt 272 54 0 28 Jan 2022
Local Interpretations for Explainable Natural Language Processing: A SurveyACM Computing Surveys (CSUR), 2021 Siwen Luo Michal Guerquin S. Han Josiah Poon MILM 312 59 0 20 Mar 2021