Showing results 1 to 8 of 8
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning Nguyen, Thanh; Pham, Trung Xuan; Zhang, Chaoning; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.11, pp.21534 - 21545, 2023 |
Fast and Memory-Efficient Uncertainty-Aware Framework for Offline Reinforcement Learning with Rank One MIMO Q network Nguyen, Thanh; Luu, Tung; Yoo, Chang-Dong, IROS 2023 Workshop on Policy Learning in Geometric Spaces, IROS 2023 Workshop, 2023-10 |
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning Nguyen, Thanh; Luu, Tung; Pham, Trung; Rakhimkul, Sanzhar; Yoo, Chang-Dong, 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021, pp.3460 - 3464, Institute of Electrical and Electronics Engineers Inc., 2021-06 |
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Nguyen, Thanh; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, pp.3471 - 3477, IEEE, 2021-09-27 |
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds Vu, Thang; Kim, Kookhoi; Nguyen, Thanh; Luu, Tung M.; Kim, Junyeong; Yoo, Chang-Dong, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.46, no.4, pp.1 - 15, 2024-04 |
SoftGroup for 3D Instance Segmentation on Point Clouds Vu, Thang; Kim, Kookhoi; Luu, Tung M.; Nguyen, Thanh; Yoo, Chang-Dong, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022-06 |
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022 |
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning Luu, Tung M.; Vu, Thang; Nguyen, Thanh; Yoo, Chang D., SENSORS, v.22, no.17, 2022-09 |
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