Juyong Kim
Juyong Kim
PhD student in Machine Learning Department, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
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
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
Improving compositional generalization in classification tasks via structure annotations
J Kim, P Ravikumar, J Ainslie, S Ontañón
arXiv preprint arXiv:2106.10434, 2021
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
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
Individual Fairness Guarantee in Learning with Censorship
W Zhang, J Kim, Z Wang, P Ravikumar, J Weiss
arXiv preprint arXiv:2302.08015, 2023
AnEMIC: A Framework for Benchmarking ICD Coding Models
J Kim, A Sharma, S Shanbhogue, J Weiss, P Ravikumar
Proceedings of the The 2022 Conference on Empirical Methods in Natural …, 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
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
S Shin, J Kim, E Halilaj, MJ Black
arXiv preprint arXiv:2312.07531, 2023
Electronic apparatus and method for optimizing trained model
Y Park, G Kim, J Kim, SJ Hwang
US, 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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