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of 22 649
pro vyhledávání: '"Minmin"'
Autor:
Bakhshesh, Davood, Henning, Michael A.
A set $S$ of vertices in a graph $G$ is a dominating set if every vertex of $V(G) \setminus S$ is adjacent to a vertex in $S$. A coalition in $G$ consists of two disjoint sets of vertices $X$ and $Y$ of $G$, neither of which is a dominating set but w
Externí odkaz:
http://arxiv.org/abs/2307.01222
Akademický článek
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Autor:
Cheng, Ruidong, Shao, Yuling, Li, Xi, Zhang, Li, Sheng, Zehao, Li, Chenyang, Xie, Xu, Mou, Huilin, Chen, Weidong, Zhang, Shaomin, Xu, Yuchen, Wang, Minmin
Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and sensory deficits, impacting the quality of life. Current rehabilitation methods, including physical therapy and electrical stimulation, offer variable ou
Externí odkaz:
http://arxiv.org/abs/2412.12229
Autor:
Wang, Minmin, Xie, Xu, Fan, Zhengbo, Lan, Yue, Pan, Yun, Chen, Guangdi, Zhang, Shaomin, Wang, Yuxing
Objective: Tumor Treating Fields (TTFields) is an emerging approach for cancer therapy that inhibits tumor cell proliferation by applying alternating electric fields (EF) of intermediate frequency and low intensity. The TTFields-induced electric fiel
Externí odkaz:
http://arxiv.org/abs/2410.12196
Autor:
Luo, Wenshui, Liu, Haoyu, Ding, Yongliang, Zhou, Tao, wan, Sheng, Wu, Runze, Lin, Minmin, Zhang, Cong, Fan, Changjie, Gong, Chen
Rank aggregation through crowdsourcing has recently gained significant attention, particularly in the context of listwise ranking annotations. However, existing methods primarily focus on a single problem and partial ranks, while the aggregation of l
Externí odkaz:
http://arxiv.org/abs/2410.07538
Despite their success in many domains, large language models (LLMs) remain under-studied in scenarios requiring optimal decision-making under uncertainty. This is crucial as many real-world applications, ranging from personalized recommendations to h
Externí odkaz:
http://arxiv.org/abs/2410.06238
Autor:
Yen, Howard, Gao, Tianyu, Hou, Minmin, Ding, Ke, Fleischer, Daniel, Izsak, Peter, Wasserblat, Moshe, Chen, Danqi
There have been many benchmarks for evaluating long-context language models (LCLMs), but developers often rely on synthetic tasks like needle-in-a-haystack (NIAH) or arbitrary subsets of tasks. It remains unclear whether they translate to the diverse
Externí odkaz:
http://arxiv.org/abs/2410.02694
Autor:
Luo, Yuanyong, Zhang, Zhongxing, Wu, Richard, Liu, Hu, Jin, Ying, Zheng, Kai, Wang, Minmin, He, Zhanying, Hu, Guipeng, Chen, Luyao, Hu, Tianchi, Wang, Junsong, Chen, Minqi, Dmitry, Mikhaylov, Vladimir, Korviakov, Maxim, Bobrin, Hu, Yuhao, Chen, Guanfu, Huang, Zeyi
This preliminary white paper proposes a novel 8-bit floating-point data format HiFloat8 (abbreviated as HiF8) for deep learning. HiF8 features tapered precision. For normal value encoding, it provides 7 exponent values with 3-bit mantissa, 8 exponent
Externí odkaz:
http://arxiv.org/abs/2409.16626
Autor:
Yang, Minmin
During the COVID-19 pandemic, face masks have become ubiquitous in our lives. Face masks can cause some face recognition models to fail since they cover significant portion of a face. In addition, removing face masks from captured images or videos ca
Externí odkaz:
http://arxiv.org/abs/2409.06845
Compared with previous 3D reconstruction methods like Nerf, recent Generalizable 3D Gaussian Splatting (G-3DGS) methods demonstrate impressive efficiency even in the sparse-view setting. However, the promising reconstruction performance of existing G
Externí odkaz:
http://arxiv.org/abs/2408.13770