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Ok, Jungseul
29 publications
TMLR
2025
Active Prompt Learning with Vision-Language Model Priors
Hoyoung Kim
,
Seokhee Jin
,
Changhwan Sung
,
Jaechang Kim
,
Jungseul Ok
ICCV
2025
Addressing Text Embedding Leakage in Diffusion-Based Image Editing
Sunung Mun
,
Jinhwan Nam
,
Sunghyun Cho
,
Jungseul Ok
ICLRW
2025
CoPL: Collaborative Preference Learning for Personalizing LLMs
Youngbin Choi
,
Seunghyuk Cho
,
Minjong Lee
,
MoonJeong Park
,
Yesong Ko
,
Jungseul Ok
,
Dongwoo Kim
TMLR
2025
Enhancing Cost Efficiency in Active Learning with Candidate Set Query
Yeho Gwon
,
Sehyun Hwang
,
Hoyoung Kim
,
Jungseul Ok
,
Suha Kwak
ICML
2025
Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
Seungbeom Lee
,
Munsun Jo
,
Jungseul Ok
,
Dongwoo Kim
NeurIPS
2025
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So
,
Chiwoong Lee
,
Shinyoung Lee
,
Jungseul Ok
,
Eunhyeok Park
NeurIPS
2025
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo
,
Kyeongheung Yun
,
Seokwon Yoon
,
MoonJeong Park
,
Jungseul Ok
,
Dongwoo Kim
ICML
2024
Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim
,
Sehyun Hwang
,
Suha Kwak
,
Jungseul Ok
ICML
2024
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
Youngsik Yoon
,
Gangbok Lee
,
Sungsoo Ahn
,
Jungseul Ok
CVPR
2024
CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment
Hyeongmin Lee
,
Kyoungkook Kang
,
Jungseul Ok
,
Sunghyun Cho
ICML
2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim
,
Juwon Kang
,
Sungsoo Ahn
,
Jungseul Ok
,
Suha Kwak
CVPR
2024
MedBN: Robust Test-Time Adaptation Against Malicious Test Samples
Hyejin Park
,
Jeongyeon Hwang
,
Sunung Mun
,
Sangdon Park
,
Jungseul Ok
ECCV
2024
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang
,
Nayeong Kim
,
Jungseul Ok
,
Suha Kwak
MLJ
2024
Optimal Clustering from Noisy Binary Feedback
Kaito Ariu
,
Jungseul Ok
,
Alexandre Proutière
,
Seyoung Yun
NeurIPS
2023
Active Learning for Semantic Segmentation with Multi-Class Label Query
Sehyun Hwang
,
Sohyun Lee
,
Hoyoung Kim
,
Minhyeon Oh
,
Jungseul Ok
,
Suha Kwak
ICCV
2023
Adaptive Superpixel for Active Learning in Semantic Segmentation
Hoyoung Kim
,
Minhyeon Oh
,
Sehyun Hwang
,
Suha Kwak
,
Jungseul Ok
ICML
2023
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang
,
Nayeong Kim
,
Donghyeon Kwon
,
Jungseul Ok
,
Suha Kwak
AISTATS
2022
Multi-Armed Bandit Algorithm Against Strategic Replication
Suho Shin
,
Seungjoon Lee
,
Jungseul Ok
AISTATS
2022
Robust Deep Learning from Crowds with Belief Propagation
Hoyoung Kim
,
Seunghyuk Cho
,
Dongwoo Kim
,
Jungseul Ok
ECCV
2022
Combating Label Distribution Shift for Active Domain Adaptation
Sehyun Hwang
,
Sohyun Lee
,
Sungyeon Kim
,
Jungseul Ok
,
Suha Kwak
NeurIPS
2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
Byungchan Ko
,
Jungseul Ok
ECCV
2022
Towards Sequence-Level Training for Visual Tracking
Minji Kim
,
Seungkwan Lee
,
Jungseul Ok
,
Bohyung Han
,
Minsu Cho
NeurIPSW
2021
Adaptive Scheduling of Data Augmentation for Deep Reinforcement Learning
Byungchan Ko
,
Jungseul Ok
NeurIPS
2021
Gradient Inversion with Generative Image Prior
Jinwoo Jeon
,
Jaechang Kim
,
Kangwook Lee
,
Sewoong Oh
,
Jungseul Ok
AISTATS
2019
Iterative Bayesian Learning for Crowdsourced Regression
Jungseul Ok
,
Sewoong Oh
,
Yunhun Jang
,
Jinwoo Shin
,
Yung Yi
IJCAI
2018
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
Weiran Huang
,
Jungseul Ok
,
Liang Li
,
Wei Chen
NeurIPS
2018
Exploration in Structured Reinforcement Learning
Jungseul Ok
,
Alexandre Proutiere
,
Damianos Tranos
ALT
2017
Collaborative Clustering: Sample Complexity and Efficient Algorithms
Jungseul Ok
,
Se-Young Yun
,
Alexandre Proutiere
,
Rami Mochaourab
ICML
2016
Optimality of Belief Propagation for Crowdsourced Classification
Jungseul Ok
,
Sewoong Oh
,
Jinwoo Shin
,
Yung Yi