Interpretable and Steerable Sequence Learning via Prototypes

23 July 2019

Huamin Qu

Papers citing "Interpretable and Steerable Sequence Learning via Prototypes"

50 / 71 papers shown

Title
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang Yuwen Wang Kaixuan Chen Tongya Zheng Yihe Zhou Zhenbang Xiao Ji Cao Mingli Song Shixuan Liu AI4CE 59 1 0 01 May 2025
Leveraging multimodal explanatory annotations for video interpretation with Modality Specific Dataset Elisa Ancarani Julie Tores L. Sassatelli Rémy Sun Hui-Yin Wu F. Precioso 29 0 0 15 Apr 2025
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning Shri Kiran Srinivasan David Chen Thomas Statchen Michael C. Burkhart Nipun Bhandari Bashar Ramadan Brett Beaulieu-Jones 45 1 0 11 Apr 2025
Patronus: Bringing Transparency to Diffusion Models with Prototypes Nina Weng Aasa Feragen Siavash Bigdeli DiffM 46 0 0 28 Mar 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach Yang Ji Ying Sun Hengshu Zhu 51 1 0 17 Mar 2025
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off Eoin M. Kenny Julie A. Shah 85 0 0 12 Dec 2024
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences Anushka Narayanan Karianne J. Bergen 39 1 0 22 Oct 2024
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification Ximing Wen Wenjuan Tan Rosina O. Weber 24 2 0 20 Sep 2024
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction Yan Feng Alexander Carballo Keisuke Fujii Robin Karlsson Ming Ding K. Takeda 31 0 0 14 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 98 0 0 14 Sep 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 49 5 0 02 Jul 2024
Large Language Models are Interpretable Learners Ruochen Wang Si Si Felix X. Yu Dorothea Wiesmann Cho-Jui Hsieh Inderjit Dhillon 45 3 0 25 Jun 2024
Prototypical Reward Network for Data-Efficient RLHF Jinghan Zhang Xiting Wang Yiqiao Jin Changyu Chen Xinhao Zhang Kunpeng Liu ALM 46 18 0 06 Jun 2024
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities Logan Cummins Alexander Sommers Somayeh Bakhtiari Ramezani Sudip Mittal Joseph E. Jabour Maria Seale Shahram Rahimi 45 21 0 15 Jan 2024
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning Lu Wang Mayukh Das Fangkai Yang Junjie Sheng Bo Qiao ... Eli Cortez Íñigo Goiri Saravan Rajmohan Qingwei Lin Dongmei Zhang 18 1 0 13 Jan 2024
Robust Text Classification: Analyzing Prototype-Based Networks Zhivar Sourati D. Deshpande Filip Ilievski Kiril Gashteovski S. Saralajew OOD OffRL 47 2 0 11 Nov 2023
Human-Guided Complexity-Controlled Abstractions Andi Peng Mycal Tucker Eoin M. Kenny Noga Zaslavsky Pulkit Agrawal Julie A. Shah 33 1 0 26 Oct 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing Claudio Fanconi Moritz Vandenhirtz Severin Husmann Julia E. Vogt FAtt 14 2 0 25 Oct 2023
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction Yuqing Wang Prashanth Vijayaraghavan Ehsan Degan 22 4 0 25 Oct 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 46 11 0 25 Sep 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement M. D. L. D. Bouter J. Pardo Z. Geradts M. Worring 26 10 0 20 Sep 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 33 12 0 05 Sep 2023
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data Zhihan Jiang Handi Chen Rui Zhou Jing Deng Xinchen Zhang Running Zhao Cong Xie Yifang Wang Edith C.H. Ngai 19 4 0 23 Jul 2023
Prototypes as Explanation for Time Series Anomaly Detection Bin Li Carsten Jentsch Emmanuel Müller AI4TS 30 2 0 04 Jul 2023
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis Wei-Yao Wang Yung-Chang Huang Tsì-Uí İk Wenjie Peng 43 11 0 08 Jun 2023
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media Junwei Kuang Jiaheng Xie Zhijun Yan 40 1 0 18 May 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 37 28 0 14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 38 29 0 28 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling Yifei Zhang Nengneng Gao Cunqing Ma 27 6 0 07 Dec 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin Xiting Wang Y. Hao Yizhou Sun Xing Xie 43 11 0 24 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT Jiaheng Xie Xiaohang Zhao Xiang Liu Xiao Fang OOD 38 2 0 08 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 24 7 0 06 Nov 2022
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text Betty van Aken Jens-Michalis Papaioannou M. Naik G. Eleftheriadis Wolfgang Nejdl Felix Alexander Gers Alexander Loser 43 11 0 16 Oct 2022
Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability M. M. Karimi Azin Heidarshenas W. Edmonson 25 0 0 15 Oct 2022
Self-explaining deep models with logic rule reasoning Seungeon Lee Xiting Wang Sungwon Han Xiaoyuan Yi Xing Xie M. Cha NAI ReLM LRM 40 16 0 13 Oct 2022
Visual Recognition with Deep Nearest Centroids Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 57 92 0 15 Sep 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 43 12 0 19 Aug 2022
RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports Jiang Wu Dongyu Liu Ziyang Guo Yingnian Wu 50 14 0 01 Aug 2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning A. Mulyadi Wonsik Jung Kwanseok Oh Jee Seok Yoon Heung-Il Suk MedIm 22 2 0 27 Jul 2022
A Unified Understanding of Deep NLP Models for Text Classification Zhuguo Li Xiting Wang Weikai Yang Jing Wu Zhengyan Zhang Zhiyuan Liu Maosong Sun Hui Zhang Shixia Liu VLM 38 30 0 19 Jun 2022
Concept-level Debugging of Part-Prototype Networks A. Bontempelli Stefano Teso Katya Tentori Fausto Giunchiglia Andrea Passerini 24 52 0 31 May 2022
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis Yi Chang Zhao Ren THANH VAN NGUYEN Wolfgang Nejdl Björn W. Schuller AAML 33 14 0 30 Mar 2022
NeuroView-RNN: It's About Time C. Barberan Sina Alemohammad Naiming Liu Randall Balestriero Richard G. Baraniuk AI4TS HAI 41 2 0 23 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 33 399 0 20 Jan 2022
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 39 99 0 06 Dec 2021
ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee 31 128 0 02 Dec 2021
Case-based off-policy policy evaluation using prototype learning Anton Matsson Fredrik D. Johansson OffRL 11 1 0 22 Nov 2021
Prototype Learning for Interpretable Respiratory Sound Analysis Zhao Ren T. Nguyen Wolfgang Nejdl 102 25 0 07 Oct 2021
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches Wei-Yao Wang Teng-Fong Chan Hui-Kuo Yang Chih-Chuan Wang Yao-Chung Fan Wen-Chih Peng 45 20 0 14 Sep 2021