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pro vyhledávání: '"Jae Hee An"'
Publikováno v:
JSM (Jurnal Seni Musik), Vol 12, Iss 2, Pp 279-290 (2023)
The research of Cadenza "Clarinet Concerto No. 3 in Bb – Allegro Moderato” by Carl Philipp Stamitz by Jae Hee Choi is motivated by the clarinet solo performance of a clarinetist performing the cadenza part of this concerto. The focus of this rese
Externí odkaz:
https://doaj.org/article/abb07a1588f743be86e77b9b5a032e2a
Concept-based XAI (C-XAI) approaches to explaining neural vision models are a promising field of research, since explanations that refer to concepts (i.e., semantically meaningful parts in an image) are intuitive to understand and go beyond saliency-
Externí odkaz:
http://arxiv.org/abs/2409.13456
Akademický článek
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Can emergent language models faithfully model the intelligence of decision-making agents? Though modern language models exhibit already some reasoning ability, and theoretically can potentially express any probable distribution over tokens, it remain
Externí odkaz:
http://arxiv.org/abs/2406.18505
The state of an object reflects its current status or condition and is important for a robot's task planning and manipulation. However, detecting an object's state and generating a state-sensitive plan for robots is challenging. Recently, pre-trained
Externí odkaz:
http://arxiv.org/abs/2406.09988
Autor:
So, Jae-hee, Chang, Joonhwan, Kim, Eunji, Na, Junho, Choi, JiYeon, Sohn, Jy-yong, Kim, Byung-Hoon, Chu, Sang Hui
Recent advancements in Large Language Models (LLMs) have accelerated their usage in various domains. Given the fact that psychiatric interviews are goal-oriented and structured dialogues between the professional interviewer and the interviewee, it is
Externí odkaz:
http://arxiv.org/abs/2403.17428
Autor:
Lu, Wenhao, Zhao, Xufeng, Fryen, Thilo, Lee, Jae Hee, Li, Mengdi, Magg, Sven, Wermter, Stefan
Reinforcement learning (RL) is a powerful technique for training intelligent agents, but understanding why these agents make specific decisions can be quite challenging. This lack of transparency in RL models has been a long-standing problem, making
Externí odkaz:
http://arxiv.org/abs/2401.00104
We address the Continual Learning (CL) problem, wherein a model must learn a sequence of tasks from non-stationary distributions while preserving prior knowledge upon encountering new experiences. With the advancement of foundation models, CL researc
Externí odkaz:
http://arxiv.org/abs/2312.08888
Autor:
Lee, Jae Hee
We study the mod $p$ equivariant quantum cohomology of conical symplectic resolutions. Using symplectic genus zero enumerative geometry, Fukaya and Wilkins defined operations on mod $p$ quantum cohomology deforming the classical Steenrod operations o
Externí odkaz:
http://arxiv.org/abs/2312.02100
Autor:
See Young Lee, Sung Ill Jang, Jae Hee Cho, Min Young Do, Su Yeon Lee, Arong Choi, Hye Sun Lee, Juyeon Yang, Dong Ki Lee
Publikováno v:
Gut and Liver, Vol 18, Iss 6, Pp 1069-1079 (2024)
Background/Aims: Ursodeoxycholic acid (UDCA) is the only well-established and widely used agent for dissolving gallstones. Epidemiological and animal studies have suggested potential therapeutic benefits of n-3 polyunsaturated fatty acids (PUFA) for
Externí odkaz:
https://doaj.org/article/b965a2a0b34c4cad8831c35adaf1526d