Sungbin Lim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Monte Carlo Tree Search

Reinforcement Learning

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

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)
Kyungjae Lee, Sungbin Lim
Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
Stochastic Optimal Control for Diffusion Bridges in Function Spaces. CoRR (2024)
Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sungsoo Ahn, Seung-Koo Lee
Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Comput. Methods Programs Biomed. 254 (2024)
Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. EACL (Findings) (2023)
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)
Taehyun Yoon, Jinwon Choi, Hyokun Yun, Sungbin Lim
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs. CoRR (2023)
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 (2023)
Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim
Score-based Generative Models with Lévy Processes. NeurIPS (2023)
Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. CoRR (2023)
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 (2021)
Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim
Neural Bootstrapper. NeurIPS (2021)
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)
Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jae In Kim, Yong-Lae Park, Songhwai Oh
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. Robotics: Science and Systems (2020)
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) (2020)
Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR (2020)
Minsuk Shin, Hyungjoo Cho, Sungbin Lim
Neural Bootstrapper. CoRR (2020)
Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR (2020)
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 (2020)
Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS (2020)
Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim
AutoCLINT: The Winning Method in AutoCV Challenge 2019. CoRR (2020)
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
Fast AutoAugment. CoRR (2019)
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 (2019)
Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR (2019)
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. MICCAI (3) (2019)
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
Fast AutoAugment. NeurIPS (2019)
Sungjoon Choi, Sanghoon Hong, Sungbin Lim
ChoiceNet: Robust Learning by Revealing Output Correlations. CoRR (2018)
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA (2018)
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR (2017)
Hyungjoo Cho, Sungbin Lim, Gunho Choi, Hyunseok Min
Neural Stain-Style Transfer Learning using GAN for Histopathological Images. CoRR (2017)