Zobrazeno 1 - 10
of 9 633
pro vyhledávání: '"An, Linbo"'
Autor:
Zhang, Siyuan, Xie, Linbo
Output uncertainty indicates whether the probabilistic properties reflect objective characteristics of the model output. Unlike most loss functions and metrics in machine learning, uncertainty pertains to individual samples, but validating it on indi
Externí odkaz:
http://arxiv.org/abs/2412.15301
Existing Vision-Language Pretraining (VLP) methods have achieved remarkable improvements across a variety of vision-language tasks, confirming their effectiveness in capturing coarse-grained semantic correlations. However, their capability for fine-g
Externí odkaz:
http://arxiv.org/abs/2412.10029
Autor:
Ma, Yufei, Liang, Zihan, Dai, Huangyu, Chen, Ben, Gao, Dehong, Ran, Zhuoran, Zihan, Wang, Jin, Linbo, Jiang, Wen, Zhang, Guannan, Cai, Xiaoyan, Yang, Libin
The growing demand for larger-scale models in the development of \textbf{L}arge \textbf{L}anguage \textbf{M}odels (LLMs) poses challenges for efficient training within limited computational resources. Traditional fine-tuning methods often exhibit ins
Externí odkaz:
http://arxiv.org/abs/2412.07405
A light field camera can reconstruct 3D scenes using captured multi-focus images that contain rich spatial geometric information, enhancing applications in stereoscopic photography, virtual reality, and robotic vision. In this work, a state-of-the-ar
Externí odkaz:
http://arxiv.org/abs/2411.06652
The performance of graph neural networks (GNNs) is susceptible to discrepancies between training and testing sample distributions. Prior studies have attempted to enhance GNN performance by reconstructing node features during the testing phase withou
Externí odkaz:
http://arxiv.org/abs/2410.09708
Optical beam steering enables optical detection and imaging in macroscopic or microscopic scales and long-range communication over free space. It underpins numerous optical applications, including LiDAR, biomedical imaging, and remote sensing. Despit
Externí odkaz:
http://arxiv.org/abs/2409.16511
Role-play in the Large Language Model (LLM) is a crucial technique that enables models to adopt specific perspectives, enhancing their ability to generate contextually relevant and accurate responses. By simulating different roles, theis approach imp
Externí odkaz:
http://arxiv.org/abs/2409.13979
Scribble supervised salient object detection (SSSOD) constructs segmentation ability of attractive objects from surroundings under the supervision of sparse scribble labels. For the better segmentation, depth and thermal infrared modalities serve as
Externí odkaz:
http://arxiv.org/abs/2409.04817
The infield shift has been increasingly used as a defensive strategy in baseball in recent years. Along with the upward trend in its usage, the notoriety of the shift has grown, as it is believed to be responsible for the recent decline in offence. I
Externí odkaz:
http://arxiv.org/abs/2409.03940
Autor:
Ji, Jun, Xi, Zichen, Srijanto, Bernadeta R., Kravchenko, Ivan I., Jin, Ming, Xiong, Wenjie, Shao, Linbo
Multiply-accumulation (MAC) is a crucial computing operation in signal processing, numerical simulations, and machine learning. This work presents a scalable, programmable, frequency-domain parallel computing leveraging gigahertz (GHz)-frequency acou
Externí odkaz:
http://arxiv.org/abs/2409.02689