Sungbin Lim

According to our database, Sungbin Lim authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Minimax Optimal Bandits for Heavy Tail Rewards.

Kyungjae Lee, Sungbin Lim

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Scalable Multi-Task Transfer Learning for Molecular Property Prediction.

Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

CoRR, 2024

Stochastic Optimal Control for Diffusion Bridges in Function Spaces.

Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee

CoRR, 2024

Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability.

Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sungsoo Ahn, Seung-Koo Lee

Comput. Methods Programs Biomed., 2024

Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images.

Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyunseok Min, Sungbin Lim, Jaegul Choo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?

Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee

CoRR, 2023

Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs.

Taehyun Yoon, Jinwon Choi, Hyokun Yun, Sungbin Lim

CoRR, 2023

Score-based Generative Models with Lévy Processes.

Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces.

Sungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bag of Tricks for In-Distribution Calibration of Pretrained Transformers.

Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone.

Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon

CoRR, 2021

Neural Bootstrapper.

Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis.

Sung Wook Seo, Jisoo Kim, Jihye Son, Sungbin Lim

BMC Medical Informatics Decis. Mak., December, 2020

Neural Bootstrapper.

Minsuk Shin, Hyungjoo Cho, Sungbin Lim

CoRR, 2020

AutoCLINT: The Winning Method in AutoCV Challenge 2019.

Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim

CoRR, 2020

torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models.

Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim

CoRR, 2020

Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots.

Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jae In Kim, Yong-Lae Park, Songhwai Oh

Proceedings of the Robotics: Science and Systems XVI, 2020

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards.

Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks.

Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds.

Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning.

Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh

CoRR, 2019

Fast AutoAugment.

Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scalable Neural Architecture Search for 3D Medical Image Segmentation.

Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

ChoiceNet: Robust Learning by Revealing Output Correlations.

Sungjoon Choi, Sanghoon Hong, Sungbin Lim

CoRR, 2018

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling.

Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Neural Stain-Style Transfer Learning using GAN for Histopathological Images.

Hyungjoo Cho, Sungbin Lim, Gunho Choi, Hyunseok Min

CoRR, 2017