Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Chen, Ruitao"'
Autor:
Chen, Ruitao, Wang, Liwei
Reinforcement learning from human feedback (RLHF) has contributed to performance improvements in large language models. To tackle its reliance on substantial amounts of human-labeled data, a successful approach is multi-task representation learning,
Externí odkaz:
http://arxiv.org/abs/2405.11226
Autor:
Liu, Jiaqi, Xie, Guoyang, Chen, Ruitao, Li, Xinpeng, Wang, Jinbao, Liu, Yong, Wang, Chengjie, Zheng, Feng
High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing. Despite some methodological advances in this area, the scarcity of datasets and the lack of a systematic
Externí odkaz:
http://arxiv.org/abs/2309.13226
3D anomaly detection is an emerging and vital computer vision task in industrial manufacturing (IM). Recently many advanced algorithms have been published, but most of them cannot meet the needs of IM. There are several disadvantages: i) difficult to
Externí odkaz:
http://arxiv.org/abs/2307.13925
Binary optimization has a wide range of applications in combinatorial optimization problems such as MaxCut, MIMO detection, and MaxSAT. However, these problems are typically NP-hard due to the binary constraints. We develop a novel probabilistic mode
Externí odkaz:
http://arxiv.org/abs/2307.00783
Securing necessary resources for edge computing processes via effective resource trading becomes a critical technique in supporting computation-intensive mobile applications. Conventional onsite spot trading could facilitate this paradigm with proper
Externí odkaz:
http://arxiv.org/abs/2108.07226
Mobile edge computing (MEC) has become a promising solution to utilize distributed computing resources for supporting computation-intensive vehicular applications in dynamic driving environments. To facilitate this paradigm, the onsite resource tradi
Externí odkaz:
http://arxiv.org/abs/2101.00775
Technology advancements on sensing, communications, and computing directly accelerate the recent development of Internet of Things (IoT), leading to rich and diverse applications in industry and business processes. For enabling IoT applications, smar
Externí odkaz:
http://arxiv.org/abs/1909.13337
Autor:
Liu, Zixuan, Chen, Ruitao, Zhao, Jian, Gu, Huadong, Yin, Jian, Zhang, Chongmiao, Yin, Huancai
Publikováno v:
In Journal of Environmental Chemical Engineering June 2023 11(3)
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Akademický článek
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