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Seong-Woong Shim
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2020 – today
- 2025
[c3]Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee:
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training. CVPR 2025: 2513-2522
[c2]Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee:
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. ICML 2025
[i6]Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee:
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. CoRR abs/2501.12668 (2025)
[i5]Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee:
Prior-Guided Diffusion Planning for Offline Reinforcement Learning. CoRR abs/2505.10881 (2025)
[i4]Myunsoo Kim, Seong-Woong Shim, Byung-Jun Lee:
FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Pretraining. CoRR abs/2505.11192 (2025)
[i3]Seong-Woong Shim, Myunsoo Kim, Jae Hyeon Cho, Byung-Jun Lee:
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding. CoRR abs/2509.21865 (2025)- 2024
[c1]Hee-Jun Ahn, Seong-Woong Shim
, Byung-Jun Lee
:
Offline Imitation Learning by Controlling the Effective Planning Horizon. ICPRAI (2) 2024: 120-150
[i2]Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee:
Offline Imitation Learning by Controlling the Effective Planning Horizon. CoRR abs/2401.09728 (2024)
[i1]Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee:
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training. CoRR abs/2411.09998 (2024)
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