Is Attention Interpretable?

9 June 2019

Papers citing "Is Attention Interpretable?"

50 / 166 papers shown

Title
Black-box language model explanation by context length probing Ondřej Cífka Antoine Liutkus MILM LRM 24 6 0 30 Dec 2022
Fruit Ripeness Classification: a Survey Matteo Rizzo Matteo Marcuzzo A. Zangari A. Gasparetto A. Albarelli 27 62 0 29 Dec 2022
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 38 2 0 21 Dec 2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation Swarnadeep Saha Xinyan Velocity Yu Joey Tianyi Zhou Ramakanth Pasunuru Asli Celikyilmaz ReLM LRM 25 10 0 16 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 29 39 0 07 Dec 2022
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 18 3 0 07 Dec 2022
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling Yifei Zhang Nengneng Gao Cunqing Ma 23 6 0 07 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 37 12 0 02 Dec 2022
SEAT: Stable and Explainable Attention Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang OOD 32 18 0 23 Nov 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 29 0 0 15 Nov 2022
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy Matteo Rizzo Cristina Conati Daesik Jang Hui Hu FAtt 13 2 0 15 Nov 2022
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers Michael Hassid Hao Peng Daniel Rotem Jungo Kasai Ivan Montero Noah A. Smith Roy Schwartz 32 24 0 07 Nov 2022
ViT-CX: Causal Explanation of Vision Transformers Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 37 17 0 06 Nov 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates Dongfang Li Baotian Hu Qingcai Chen 16 8 0 06 Nov 2022
Parameter-Efficient Tuning Makes a Good Classification Head Zhuoyi Yang Ming Ding Yanhui Guo Qingsong Lv Jie Tang VLM 58 14 0 30 Oct 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 37 26 0 25 Oct 2022
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 30 7 0 24 Oct 2022
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang Jinghao Deng Xiaojun Quan Qifan Wang Shaoliang Nie 32 3 0 12 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention Raphael Tang Linqing Liu Akshat Pandey Zhiying Jiang Gefei Yang K. Kumar Pontus Stenetorp Jimmy J. Lin Ferhan Ture 34 167 0 10 Oct 2022
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees Swarnadeep Saha Shiyue Zhang Peter Hase Joey Tianyi Zhou 29 19 0 21 Sep 2022
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection Tulika Bose Nikolaos Aletras Irina Illina Dominique Fohr 19 0 0 18 Sep 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 33 52 0 22 Aug 2022
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance Satyam Kumar V. Ravi 16 1 0 19 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
Is Attention Interpretation? A Quantitative Assessment On Sets Jonathan Haab N. Deutschmann María Rodríguez Martínez 27 7 0 26 Jul 2022
What does Transformer learn about source code? Kechi Zhang Ge Li Zhi Jin ViT 30 8 0 18 Jul 2022
How to Dissect a Muppet: The Structure of Transformer Embedding Spaces Timothee Mickus Denis Paperno Mathieu Constant 31 20 0 07 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 35 20 0 07 Jun 2022
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer Javier Ferrando Gerard I. Gállego Belen Alastruey Carlos Escolano Marta R. Costa-jussá 30 44 0 23 May 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 76 8 0 18 May 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik R. Narasimhan Danqi Chen AAML 31 40 0 25 Apr 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
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 30 22 0 22 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease Junjie Li 34 27 0 11 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 34 10 0 31 Mar 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models Alexander Stevens Johannes De Smedt XAI FaML 17 12 0 30 Mar 2022
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection Tulika Bose Nikolaos Aletras Irina Illina Dominique Fohr 45 5 0 23 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger AAML ELM 30 20 0 21 Mar 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
Measuring the Mixing of Contextual Information in the Transformer Javier Ferrando Gerard I. Gállego Marta R. Costa-jussá 36 50 0 08 Mar 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 38 5 0 02 Mar 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk Adam Kovacs Kinga Gémes Eszter Iklódi Gábor Recski 38 4 0 31 Jan 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 18 197 0 31 Jan 2022
Explainability in Music Recommender Systems Darius Afchar Alessandro B. Melchiorre Markus Schedl Romain Hennequin Elena V. Epure Manuel Moussallam 34 48 0 25 Jan 2022
Video Transformers: A Survey Javier Selva A. S. Johansen Sergio Escalera Kamal Nasrollahi T. Moeslund Albert Clapés ViT 24 103 0 16 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 33 186 0 21 Dec 2021
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation Yicong Li Hongxu Chen Yile Li Lin Li Philip S. Yu Guandong Xu 18 15 0 24 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 38 23 0 09 Nov 2021
Understanding How Encoder-Decoder Architectures Attend Kyle Aitken V. Ramasesh Yuan Cao Niru Maheswaranathan 39 17 0 28 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 22 41 0 26 Oct 2021