Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment

6 February 2022

Papers citing "Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment"

20 / 20 papers shown

Title
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging Haozhe Luo Ziyu Zhou Zixin Shu Aurélie Pahud de Mortanges Robert Berke Mauricio Reyes 17 0 0 15 May 2025
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Felix Kares Timo Speith Hanwei Zhang Markus Langer FAtt XAI 33 0 0 23 Apr 2025
Effective Guidance for Model Attention with Simple Yes-no Annotations Seongmin Lee Ali Payani Duen Horng Chau FAtt 35 0 0 29 Oct 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Kwan-Liu Ma 42 2 0 08 Jul 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 35 3 0 04 May 2024
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation Qilong Zhao Yifei Zhang Mengdan Zhu Siyi Gu Yuyang Gao Xiaofeng Yang Liang Zhao MedIm 25 2 0 16 Mar 2024
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems Zinat Ara Hossein Salemi Sungsoo Ray Hong Yasas Senarath Steve Peterson A. Hughes Hemant Purohit 21 2 0 04 Mar 2024
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation Amin Parchami-Araghi Moritz Bohle Sukrut Rao Bernt Schiele FAtt 8 3 0 05 Feb 2024
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Nahyun Kwon Tong Sun Yuyang Gao Liang Zhao Xu Wang Jeeeun Kim S. Hong 8 2 0 29 Jan 2024
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers Yuya Yoshikawa Tomoharu Iwata 14 0 0 19 Oct 2023
Visual Attention Prompted Prediction and Learning Yifei Zhang Siyi Gu Bo Pan Guangji Bai Meikang Qiu Xiaofeng Yang Liang Zhao LRM VLM 30 2 0 12 Oct 2023
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations Tong Sun Yuyang Gao Shubham Khaladkar Sijia Liu Liang Zhao Younghoon Kim S. Hong AAML FAtt HAI 24 6 0 08 Jul 2023
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code? Bonan Kou Shengmai Chen Zhijie Wang Lei Ma Tianyi Zhang ALM 11 13 0 02 Jun 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification Bin Wang Hongyi Pan Armstrong Aboah Zheyu Zhang Elif Keles Drew A Torigian B. Turkbey Elizabeth A. Krupinski J. Udupa Ulas Bagci 25 21 0 29 May 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts Dongyoon Han Junsuk Choe Dante Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Y. Song Seong Joon Oh OOD 424 4 1 30 Mar 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 24 39 0 07 Dec 2022
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 21 32 0 27 Jun 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives Zhuofan Ying Peter Hase Mohit Bansal LRM 23 13 0 22 Jun 2022
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018