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