3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through
Human-AI Collaboration

3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration

29 January 2024

Papers citing "3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration"

16 / 16 papers shown

Title
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 44 6 0 08 Jul 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 62 40 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 46 32 0 27 Jun 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 60 190 0 15 Apr 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 56 38 0 06 Feb 2022
Towards Evaluating Exploratory Model Building Process with AutoML Systems Sungsoo Ray Hong Sonia Castelo Vito DÓrazio Christopher Bethune Aécio Santos Scott Langevin D. Jonker E. Bertini J. Freire HAI 24 4 0 01 Sep 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 45 193 0 23 Apr 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 88 128 0 15 Jan 2020
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation Aécio Santos Sonia Castelo Cristian Felix Jorge Piazentin Ono Bowen Yu S. Hong Cláudio T. Silva E. Bertini J. Freire HAI 29 30 0 05 Jul 2019
Embedding Human Knowledge into Deep Neural Network via Attention Map Masahiro Mitsuhara Hiroshi Fukui Yusuke Sakashita Takanori Ogata Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 35 72 0 09 May 2019
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi XAI FAtt 56 402 0 25 Dec 2018
From Recognition to Cognition: Visual Commonsense Reasoning Rowan Zellers Yonatan Bisk Ali Farhadi Yejin Choi LRM BDL OCL ReLM 131 873 0 27 Nov 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 216 19,796 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 840 149,474 0 22 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013