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 | 86 | 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 |
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 | 6 | 2020 |
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 | 5 | 2024 |
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 | 4 | 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 | 2 | 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 | | |