Lee, Jungwoo

16 publications

NeurIPS 2025 Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee

ICML 2025 Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation Taehyun Cho, Seungyub Han, Seokhun Ju, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee

AAAI 2025 Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo, Hyeonggeun Han, Sehwan Kim, Sangwoo Hong, Jungwoo Lee

ICML 2025 Policy-Labeled Preference Learning: Is Preference Enough for RLHF? Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee

AAAI 2024 Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee

NeurIPS 2024 Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee

CVPR 2023 Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification Youngwook Kim, Jae Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee

WACV 2023 MRI Imputation Based on Fused Index- and Intensity-Registration Jiyoon Shin, Jungwoo Lee

UAI 2023 On the Convergence of Continual Learning with Adaptive Methods Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee

NeurIPS 2023 Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee

NeurIPS 2023 SPQR: Controlling Q-Ensemble Independence with Spiked Random Model for Reinforcement Learning Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee

NeurIPSW 2022 Adaptive Methods for Nonconvex Continual Learning Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee

CVPR 2022 Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim, Jae Myung Kim, Zeynep Akata, Jungwoo Lee

NeurIPSW 2022 Perturbed Quantile Regression for Distributional Reinforcement Learning Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee

ICML 2021 Chebyshev Polynomial Codes: Task Entanglement-Based Coding for Distributed Matrix Multiplication Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Taehyun Cho, Jungwoo Lee

AAAI 2020 REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation Jae-Myung Kim, Hyungjin Kim, Chanwoo Park, Jungwoo Lee