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Sungbin Lim
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2020 – today
- 2024
- [j3]Yae Won Park
, Sujeong Eom
Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Comput. Methods Programs Biomed. 254: 108288 (2024) - [j2]Kyungjae Lee
Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5280-5294 (2024) - [c12]Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyunseok Min, Sungbin Lim, Jaegul Choo:
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images. WACV 2024: 7599-7608 - [i16]Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee:
Stochastic Optimal Control for Diffusion Bridges in Function Spaces. CoRR abs/2405.20630 (2024) - [i15]Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim:
Scalable Multi-Task Transfer Learning for Molecular Property Prediction. CoRR abs/2410.00432 (2024) - 2023
- [c11]Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim:
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. EACL (Findings) 2023: 551 - [c10]Sungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi:
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. NeurIPS 2023 - [c9]Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim:
Score-based Generative Models with Lévy Processes. NeurIPS 2023 - [i14]Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. CoRR abs/2302.06690 (2023) - [i13]Taehyun Yoon, Jinwon Choi, Hyokun Yun, Sungbin Lim
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs. CoRR abs/2308.00327 (2023) - [i12]Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee:
Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms? CoRR abs/2311.11212 (2023) - 2021
- [c8]Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim:
Neural Bootstrapper. NeurIPS 2021: 16596-16609 - [i11]Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon:
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone. CoRR abs/2112.12545 (2021) - 2020
- [j1]Sung Wook Seo, Jisoo Kim, Jihye Son, Sungbin Lim
Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis. BMC Medical Informatics Decis. Mak. 20(1): 320 (2020) - [c7]Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI 2020: 9916-9924 - [c6]Sungjoon Choi, Sanghoon Hong, Kyungjae Lee
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR 2020: 3871-3880 - [c5]Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh:
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS 2020 - [c4]Kyungjae Lee
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. Robotics: Science and Systems 2020 - [i10]Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim:
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models. CoRR abs/2004.09910 (2020) - [i9]Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim:
AutoCLINT: The Winning Method in AutoCV Challenge 2019. CoRR abs/2005.04373 (2020) - [i8]Minsuk Shin, Hyungjoo Cho, Sungbin Lim:
Neural Bootstrapper. CoRR abs/2010.01051 (2020) - [i7]Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh:
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR abs/2010.12866 (2020)
2010 – 2019
- 2019
- [c3]Sungwoong Kim, Ildoo Kim, Sungbin Lim
Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) 2019: 220-228 - [c2]Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. NeurIPS 2019: 6662-6672 - [i6]Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR abs/1902.00137 (2019) - [i5]Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. CoRR abs/1905.00397 (2019) - [i4]Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim:
Scalable Neural Architecture Search for 3D Medical Image Segmentation. CoRR abs/1906.05956 (2019) - 2018
- [c1]Sungjoon Choi, Kyungjae Lee
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA 2018: 6915-6922 - [i3]Sungjoon Choi, Sanghoon Hong, Sungbin Lim:
ChoiceNet: Robust Learning by Revealing Output Correlations. CoRR abs/1805.06431 (2018) - 2017
- [i2]Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh:
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR abs/1709.02249 (2017) - [i1]Hyungjoo Cho, Sungbin Lim, Gunho Choi, Hyunseok Min:
Neural Stain-Style Transfer Learning using GAN for Histopathological Images. CoRR abs/1710.08543 (2017)
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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