Zobrazeno 1 - 10
of 325
pro vyhledávání: '"Park, Junseok"'
Autor:
Park, Junseok, Kim, Yoonsung, Yoo, Hee Bin, Lee, Min Whoo, Kim, Kibeom, Choi, Won-Seok, Lee, Minsu, Zhang, Byoung-Tak
Toddlers evolve from free exploration with sparse feedback to exploiting prior experiences for goal-directed learning with denser rewards. Drawing inspiration from this Toddler-Inspired Reward Transition, we set out to explore the implications of var
Externí odkaz:
http://arxiv.org/abs/2403.06880
Recent machine learning algorithms have been developed using well-curated datasets, which often require substantial cost and resources. On the other hand, the direct use of raw data often leads to overfitting towards frequently occurring class inform
Externí odkaz:
http://arxiv.org/abs/2402.08963
In Self-Supervised Learning (SSL), it is known that frequent occurrences of the collision in which target data and its negative samples share the same class can decrease performance. Especially in real-world data such as crawled data or robot-gathere
Externí odkaz:
http://arxiv.org/abs/2210.17052
Autor:
Park, Junseok, Hwang, Inwoo, Lee, Min Whoo, Oh, Hyunseok, Lee, Minsu, Lee, Youngki, Zhang, Byoung-Tak
The initial years of an infant's life are known as the critical period, during which the overall development of learning performance is significantly impacted due to neural plasticity. In recent studies, an AI agent, with a deep neural network mimick
Externí odkaz:
http://arxiv.org/abs/2208.04832
Publikováno v:
In Journal of Building Engineering 15 October 2024 95
Autor:
Park, Junseok, Park, Kwanyoung, Oh, Hyunseok, Lee, Ganghun, Lee, Minsu, Lee, Youngki, Zhang, Byoung-Tak
Critical periods are phases during which a toddler's brain develops in spurts. To promote children's cognitive development, proper guidance is critical in this stage. However, it is not clear whether such a critical period also exists for the trainin
Externí odkaz:
http://arxiv.org/abs/2201.04990
Autor:
Park, Junseok, Moon, Ilkyeong
Publikováno v:
In Transportation Research Part E December 2024 192
Publikováno v:
In Journal of Building Engineering 15 June 2024 87
One of the inherent limitations of current AI systems, stemming from the passive learning mechanisms (e.g., supervised learning), is that they perform well on labeled datasets but cannot deduce knowledge on their own. To tackle this problem, we deriv
Externí odkaz:
http://arxiv.org/abs/2101.11221
Autor:
Lai, Jenny, Demirbas, Didem, Kim, Junho, Jeffries, Ailsa M., Tolles, Allie, Park, Junseok, Chittenden, Thomas W., Buckley, Patrick G., Yu, Timothy W., Lodato, Michael A., Lee, Eunjung Alice
Publikováno v:
In Cell Reports 23 January 2024 43(1)