Juyong Kim

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Citations	185	163
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Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
Gunhee KimProfessor, Seoul National UniversityVerified email at snu.ac.kr
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jeremy C WeissInvestigator, National Library of Medicine, National Institutes of HealthVerified email at nih.gov
Wonjoon GooUniversity of Texas at AustinVerified email at cs.utexas.edu
Yookoon ParkColumbia UniversityVerified email at columbia.edu
Joshua AinslieGoogle LLCVerified email at google.com
Santiago OntañónResearch Scientist, Google DeepMindVerified email at google.com
Justin KhimApplied scientist at AmazonVerified email at amazon.com
Linyuan GongUC BerkeleyVerified email at berkeley.edu
Seungil YouCTO at Kakao mobilityVerified email at caltech.edu
Yoonseon OhHanyang University, South KoreaVerified email at hanyang.ac.kr
Songhwai OhDepartment of Electrical and Computer Engineering, Seoul National University, KoreaVerified email at snu.ac.kr

Juyong Kim

PhD student in Machine Learning Department, Carnegie Mellon University

Verified email at andrew.cmu.edu - Homepage

Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SplitNet: Learning to semantically split deep networks for parameter reduction and model parallelization J Kim, Y Park, G Kim, SJ Hwang International Conference on Machine Learning, 1866-1874, 2017	87	2017
Taxonomy-regularized semantic deep convolutional neural networks W Goo, J Kim, G Kim, SJ Hwang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	46	2016
Improving compositional generalization in classification tasks via structure annotations J Kim, P Ravikumar, J Ainslie, S Ontañón arXiv preprint arXiv:2106.10434, 2021	15	2021
Wham: Reconstructing world-grounded humans with accurate 3d motion S Shin, J Kim, E Halilaj, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	11	2024
Individual fairness under uncertainty W Zhang, Z Wang, J Kim, C Cheng, T Oommen, P Ravikumar, J Weiss ECAI 2023, 3042-3049, 2023	9*	2023
Improved clinical abbreviation expansion via non-sense-based approaches J Kim, L Gong, J Khim, JC Weiss, P Ravikumar Machine Learning for Health, 161-178, 2020	8	2020
Context-sensitive spelling correction of clinical text via conditional independence J Kim, JC Weiss, P Ravikumar Conference on Health, Inference, and Learning, 234-247, 2022	5	2022
AnEMIC: A framework for benchmarking ICD coding models J Kim, A Sharma, S Shanbhogue, P Ravikumar, JC Weiss Proceedings of the Conference on Empirical Methods in Natural Language …, 2022	3	2022
Actionable topological mapping for navigation using nearby objects J Kim, J Kim, S You, Y Oh, S Oh 2012 IEEE International Conference on Automation Science and Engineering …, 2012	1	2012
Using Multimodal Data to Improve Precision of Inpatient Event Timelines G Frattallone-Llado, J Kim, C Cheng, D Salazar, S Edakalavan, JC Weiss Pacific-Asia Conference on Knowledge Discovery and Data Mining, 322-334, 2024		2024
Electronic apparatus and method for optimizing trained model Y Park, G Kim, J Kim, SJ Hwang US, 2018		2018
Supplemenatry File for Taxonomy-Regularized Semantic Deep Convolutional Neural Networks W Goo, J Kim, G Kim, SJ Hwang
Supplementary File for Paper SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization J Kim, Y Park, G Kim, SJ Hwang

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