متابعة
Kimin Lee
Kimin Lee
KAIST
بريد إلكتروني تم التحقق منه على kaist.ac.kr - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
A simple unified framework for detecting out-of-distribution samples and adversarial attacks‏
K Lee, K Lee, H Lee, J Shin‏
Advances in neural information processing systems 31, 2018‏
23292018
Decision transformer: Reinforcement learning via sequence modeling‏
L Chen, K Lu, A Rajeswaran, K Lee, A Grover, M Laskin, P Abbeel, ...‏
Advances in neural information processing systems, 2021‏
18472021
Training confidence-calibrated classifiers for detecting out-of-distribution samples‏
K Lee, H Lee, K Lee, J Shin‏
International Conference on Learning Representations, 2017‏
10752017
Using pre-training can improve model robustness and uncertainty‏
D Hendrycks, K Lee, M Mazeika‏
International conference on machine learning, 2712-2721, 2019‏
9002019
Reinforcement learning with augmented data‏
M Laskin, K Lee, A Stooke, L Pinto, P Abbeel, A Srinivas‏
Advances in neural information processing systems, 2020‏
8012020
Decoupling representation learning from reinforcement learning‏
A Stooke, K Lee, P Abbeel, M Laskin‏
International conference on machine learning, 9870-9879, 2021‏
3852021
Regularizing class-wise predictions via self-knowledge distillation‏
S Yun, J Park, K Lee, J Shin‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020‏
3562020
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training‏
K Lee, L Smith, P Abbeel‏
International Conference on Machine Learning, 2021‏
3122021
Overcoming catastrophic forgetting with unlabeled data in the wild‏
K Lee, K Lee, J Shin, H Lee‏
Proceedings of the IEEE/CVF international conference on computer vision, 312-321, 2019‏
2652019
Sunrise: A simple unified framework for ensemble learning in deep reinforcement learning‏
K Lee, M Laskin, A Srinivas, P Abbeel‏
International Conference on Machine Learning, 6131-6141, 2021‏
2632021
Aligning text-to-image models using human feedback‏
K Lee, H Liu, M Ryu, O Watkins, Y Du, C Boutilier, P Abbeel, ...‏
arXiv preprint arXiv:2302.12192, 2023‏
2592023
Network randomization: A simple technique for generalization in deep reinforcement learning‏
K Lee, K Lee, J Shin, H Lee‏
International Conference on Learning Representations, 2019‏
2282019
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble‏
S Lee, Y Seo, K Lee, P Abbeel, J Shin‏
Annual Conference on Robot Learning, 2021‏
2272021
Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models‏
Y Fan, O Watkins, Y Du, H Liu, M Ryu, C Boutilier, P Abbeel, ...‏
Advances in Neural Information Processing Systems 36, 79858-79885, 2023‏
195*2023
URLB: Unsupervised reinforcement learning benchmark‏
M Laskin, D Yarats, H Liu, K Lee, A Zhan, K Lu, C Cang, L Pinto, P Abbeel‏
Conference on Neural Information Processing Systems Datasets and Benchmarks …, 2021‏
1742021
Robust inference via generative classifiers for handling noisy labels‏
K Lee, S Yun, K Lee, H Lee, B Li, J Shin‏
International conference on machine learning, 3763-3772, 2019‏
1632019
State entropy maximization with random encoders for efficient exploration‏
Y Seo, L Chen, J Shin, H Lee, P Abbeel, K Lee‏
International Conference on Machine Learning, 2021‏
1582021
Context-aware dynamics model for generalization in model-based reinforcement learning‏
K Lee, Y Seo, S Lee, H Lee, J Shin‏
International Conference on Machine Learning, 5757-5766, 2020‏
1532020
Masked world models for visual control‏
Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel‏
Conference on Robot Learning, 1332-1344, 2023‏
1442023
B-Pref: Benchmarking Preference-Based Reinforcement Learning‏
K Lee, L Smith, A Dragan, P Abbeel‏
Conference on Neural Information Processing Systems Datasets and Benchmarks …, 2021‏
1342021
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مقالات 1–20