Lee, Kyungjae

23 publications

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

WACV 2025 D2FP: Learning Implicit Prior for Human Parsing Junyoung Hong, Hyeri Yang, Ye Ju Kim, Haerim Kim, Shinwoong Kim, Euna Shim, Kyungjae Lee

NeurIPS 2025 Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Chaeyeon Kim, Yunkyung Ko, Seungyub Han, Seokhun Ju, Dohyeok Lee, Sungbin Lim

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

NeurIPS 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh

ICML 2023 Exploring the Benefits of Training Expert Language Models over Instruction Tuning Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo

CVPR 2023 Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning MyeongAh Cho, Minjung Kim, Sangwon Hwang, Chaewon Park, Kyungjae Lee, Sangyoun Lee

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

ICML 2023 QASA: Advanced Question Answering on Scientific Articles Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee

NeurIPS 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

NeurIPS 2023 Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh

NeurIPS 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim, Kyungjae Lee, Songhwai Oh

ECCV 2022 Domain Generalization by Mutual-Information Regularization with Pre-Trained Models Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun

ICLR 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data Sung Woo Park, Kyungjae Lee, Junseok Kwon

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

NeurIPS 2022 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds Sung Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon

NeurIPS 2021 SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park

ECML-PKDD 2020 Instructional Video Summarization Using Attentive Knowledge Grounding Kyungho Kim, Kyungjae Lee, Seung-won Hwang

AAAI 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

NeurIPS 2020 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh

AAAI 2020 Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos Kyungjae Lee, Nan Duan, Lei Ji, Jason Li, Seung-won Hwang

NeurIPS 2018 Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee, Sungjoon Choi, Songhwai Oh

IJCAI 2018 Translations as Additional Contexts for Sentence Classification Reinald Kim Amplayo, Kyungjae Lee, Jinyeong Yeo, Seung-won Hwang