김기응Kee-Eung Kim
AIPR Lab
기계학습, 인공지능, 강화학습
- 논문
- 27
- 구성원
- 13
- 졸업생
- 49
논문 주제가 비슷한 연구실
KAIST 이기민 교수 연구실은 머신러닝 분야 연구실로, 연구실 홈페이지 기준 2023–2026년 논문 45편(T1 38편)을 발표했습니다. 현재 박사과정 5명, 석사과정 7명이 소속되어 있습니다. 졸업생은 3명입니다.
2023–2026 · 연구실 홈페이지 기준
연평균 · T1 비율
11.3 · 84%
논문 제목에서 찾은 주제예요. 최근 논문일수록 크게 반영돼요.
논문 45편
Adversarial Iterative Unit Test Generation with Large Language Models
Dongjun Lee, Juyong Lee, Changho Hwang, Kimin Lee
Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases
Dongyoon Hahm, Dylan Hadfield-Menell, Kimin Lee
Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation
Xinyao Qin, Junjie Lu, Kaixin Wang, Chuheng Zhang, Sinjae Kang, Kimin Lee, Min Xu, Bin Liang, Jun Yang, Li Zhao
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, Yuke Zhu
Entropy-Aware On-Policy Distillation of Language Models
Woogyeol Jin, Taywon Min, Yongjin Yang, Dennis Wei, Yi Zhou, Swanand Ravindra Kadhe, Nathalie Baracaldo, Kimin Lee
HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation
Jaehwi Song, Suchae Jeong, Byeongguk Jeon, Sungdong Kim, Minjoon Seo, Hyungmok Son, Kimin Lee
Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
June Suk Choi, Kyungmin Lee, Sihyun Yu, Yisol Choi, Jinwoo Shin, Kimin Lee
Learning Multi-View Spatial Reasoning from Cross-View Relations
Suchae Jeong, Jaehwi Song, Haeone Lee, Hanna Kim, Jian Kim, Dongjun Lee, Dong Kyu Shin, Changyeon Kim, Dongyoon Hahm, Woogyeol Jin, Juheon Choi, Kimin Lee
논문 주제 구성이 비슷한 연구실이에요.