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Jongpil Kim
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2020 – today
- 2023
- [c16]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) 2023: 11239-11246 - [c15]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) 2023: 7458-7467 - [i3]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR abs/2305.18239 (2023) - [i2]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR abs/2311.02849 (2023)
2010 – 2019
- 2018
- [c14]Soo Bong Lee, Dalgeun Lee, Jongpil Kim, Jinyoung Kim:
Development and Validation of a Daily Maximum Temperature Estimation Algorithm Using Landsat-8. IGARSS 2018: 2523-2526 - [c13]Jongpil Kim, Eunji Cheon, Dalgeun Lee, Jinyoung Kim, Kyungwon Park:
Development of a Rainfall Estimation Algorithm Based on Combination of the COMS and GPM Datasets. IGARSS 2018: 3894-3896 - [c12]Dalgeun Lee, Jongpil Kim, Mi Hee Lee, Soo Bong Lee, Jinyoung Kim:
Application of Landsat -8 and Sentinel-L Images for Drought Monitoring Over the Korean Peninsula. IGARSS 2018: 7286-7288 - [c11]Sejong Yoon, Jongpil Kim:
Object-Centric Scene Understanding for Image Memorability Prediction. MIPR 2018: 305-308 - 2017
- [j2]Jinwook Lee, Jongpil Kim, András Prékopa:
Extreme value estimation for a function of a random sample using binomial moments scheme and Boolean functions of events. Discret. Appl. Math. 219: 210-218 (2017) - [j1]Jongpil Kim, Vladimir Pavlovic:
Discovering characteristic landmarks on ancient coins using convolutional networks. J. Electronic Imaging 26(1): 11018 (2017) - [c10]Jongpil Kim, Hyewon Yun, Dalgeun Lee, Jin Young Kim, Youngjin Park:
Rainfall-Runoff simulation using geostationary satellite rain rate in a small mountainous watershed. IGARSS 2017: 5725-5728 - 2016
- [c9]Jongpil Kim, Vladimir Pavlovic:
A Shape-Based Approach for Salient Object Detection Using Deep Learning. ECCV (4) 2016: 455-470 - [c8]Jongpil Kim, Vladimir Pavlovic:
A shape preserving approach for salient object detection using convolutional neural networks. ICPR 2016: 609-614 - [c7]Jongpil Kim, Vladimir Pavlovic:
Discovering characteristic landmarks on ancient coins using convolutional networks. ICPR 2016: 1595-1600 - 2015
- [i1]Jongpil Kim, Vladimir Pavlovic:
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks. CoRR abs/1506.09174 (2015) - 2014
- [c6]Jongpil Kim, Vladimir Pavlovic:
Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding. ECCV Workshops (1) 2014: 149-164 - [c5]Jongpil Kim, Vladimir Pavlovic:
Ancient Coin Recognition Based on Spatial Coding. ICPR 2014: 321-326 - 2013
- [c4]Jongpil Kim, Sejong Yoon, Vladimir Pavlovic:
Relative spatial features for image memorability. ACM Multimedia 2013: 761-764 - 2012
- [c3]Jongpil Kim, Vladimir Pavlovic:
Attribute rating for classification of visual objects. ICPR 2012: 1611-1614
2000 – 2009
- 2008
- [c2]SuGil Choi, Jin-Hee Han, Jeong-Woo Lee, Jongpil Kim, Sungik Jun:
Implementation of a TCG-Based Trusted Computing in Mobile Device. TrustBus 2008: 18-27 - 2007
- [c1]Jongpil Kim, Sungik Jun:
Authentication and Key Agreement Method for Home Networks Using a Smart Card. ICCSA (1) 2007: 655-665
Coauthor Index
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