The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?

12 October 2020

Papers citing "The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?"

32 / 32 papers shown

Title
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
Attention Meets Post-hoc Interpretability: A Mathematical Perspective Gianluigi Lopardo F. Precioso Damien Garreau 16 4 0 05 Feb 2024
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
Evaluating self-attention interpretability through human-grounded experimental protocol Milan Bhan Nina Achache Victor Legrand A. Blangero N. Chesneau 26 9 0 27 Mar 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 38 9 0 20 Jan 2023
Opti-CAM: Optimizing saliency maps for interpretability Hanwei Zhang Felipe Torres R. Sicre Yannis Avrithis Stéphane Ayache 36 22 0 17 Jan 2023
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 33 2 0 21 Dec 2022
Azimuth: Systematic Error Analysis for Text Classification Gabrielle Gauthier Melançon Orlando Marquez Ayala Lindsay D. Brin Chris Tyler Frederic Branchaud-Charron Joseph Marinier Karine Grande Dieu-Thu Le 16 3 0 16 Dec 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 21 0 0 15 Nov 2022
ViT-CX: Causal Explanation of Vision Transformers Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 29 17 0 06 Nov 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts Santosh T.Y.S.S Shanshan Xu O. Ichim Matthias Grabmair 25 26 0 25 Oct 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems Parikshit Bansal Yashoteja Prabhu Emre Kıcıman Amit Sharma CML OOD 33 0 0 07 Oct 2022
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics Christopher Kuenneth R. Ramprasad 31 101 0 29 Sep 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features Juri Opitz Anette Frank 34 33 0 14 Jun 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps Oren Barkan Edan Hauon Avi Caciularu Ori Katz Itzik Malkiel Omri Armstrong Noam Koenigstein 34 37 0 23 Apr 2022
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification Dairui Liu Derek Greene Ruihai Dong 28 10 0 14 Mar 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 35 5 0 02 Mar 2022
Multi-Modal Knowledge Graph Construction and Application: A Survey Xiangru Zhu Zhixu Li Xiaodan Wang Xueyao Jiang Penglei Sun Xuwu Wang Yanghua Xiao N. Yuan 28 154 0 11 Feb 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 41 41 0 16 Dec 2021
Understanding How Encoder-Decoder Architectures Attend Kyle Aitken V. Ramasesh Yuan Cao Niru Maheswaranathan 34 17 0 28 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 20 41 0 26 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 108 35 0 15 Oct 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 13 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
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models Yiming Cui Weinan Zhang Wanxiang Che Ting Liu Zhigang Chen Shijin Wang LRM 19 9 0 26 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 12 5 0 04 Jun 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 16 33 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 27 9 0 27 Mar 2021
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015