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Juyong Kim
Juyong Kim
PhD student in Machine Learning Department, Carnegie Mellon University
Verified email at andrew.cmu.edu - Homepage
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
852017
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
462016
Improving compositional generalization in classification tasks via structure annotations
J Kim, P Ravikumar, J Ainslie, S Ontañón
arXiv preprint arXiv:2106.10434, 2021
152021
Individual fairness under uncertainty
W Zhang, Z Wang, J Kim, C Cheng, T Oommen, P Ravikumar, J Weiss
arXiv preprint arXiv:2302.08015, 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
62020
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
52024
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
42022
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
22022
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
12012
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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Articles 1–13