Zobrazeno 1 - 10
of 13 464
pro vyhledávání: '"Feng , Lei"'
Detecting Out-of-Distribution (OOD) inputs is crucial for improving the reliability of deep neural networks in the real-world deployment. In this paper, inspired by the inherent distribution shift between ID and OOD data, we propose a novel method th
Externí odkaz:
http://arxiv.org/abs/2410.07617
Integrating artificial intelligence (AI) techniques such as machine learning and deep learning into freeform optics design has significantly enhanced design efficiency, expanded the design space, and led to innovative solutions. This article reviews
Externí odkaz:
http://arxiv.org/abs/2410.03554
We introduce the holographic air-quality monitor (HAM) system, uniquely tailored for monitoring large particulate matter (PM) over 10 um in diameter, i.e., particles critical for disease transmission and public health but overlooked by most commercia
Externí odkaz:
http://arxiv.org/abs/2409.04435
The origin and evolution of organic molecules represent a pivotal issue in the fields of astrobiology and astrochemistry, potentially shedding light on the origins of life. The James Webb Space Telescope (JWST), with its exceptional sensitivity and s
Externí odkaz:
http://arxiv.org/abs/2409.04217
Autor:
Liu, Minghao, Di, Zonglin, Wei, Jiaheng, Wang, Zhongruo, Zhang, Hengxiang, Xiao, Ruixuan, Wang, Haoyu, Pang, Jinlong, Chen, Hao, Shah, Ankit, Wei, Hongxin, He, Xinlei, Zhao, Zhaowei, Wang, Haobo, Feng, Lei, Wang, Jindong, Davis, James, Liu, Yang
Large-scale data collection is essential for developing personalized training data, mitigating the shortage of training data, and fine-tuning specialized models. However, creating high-quality datasets quickly and accurately remains a challenge due t
Externí odkaz:
http://arxiv.org/abs/2408.11338
Pion condensation is a theoretical prediction, where pions form a special state of matter under certain extreme conditions in heavy ion collisions or neutron stars. However, there is currently no solid experimental evidence confirming the existence o
Externí odkaz:
http://arxiv.org/abs/2408.01879
Combining machine learning and formal methods (FMs) provides a possible solution to overcome the safety issue of autonomous driving (AD) vehicles. However, there are gaps to be bridged before this combination becomes practically applicable and useful
Externí odkaz:
http://arxiv.org/abs/2408.01093
Partial-Label Learning (PLL) is a typical problem of weakly supervised learning, where each training instance is annotated with a set of candidate labels. Self-training PLL models achieve state-of-the-art performance but suffer from error accumulatio
Externí odkaz:
http://arxiv.org/abs/2407.15036
Autor:
Fan, Yi-Zhong, Shen, Zhao-Qiang, Liang, Yun-Feng, Li, Xiang, Duan, Kai-Kai, Xia, Zi-Qing, Huang, Xiao-Yuan, Feng, Lei, Yuan, Qiang
As the largest gravitationally bound objects in the Universe, galaxy clusters have provided the first piece of evidence for the presence of dark matter and may be suitable targets for indirect dark matter searches. Among various signals, the GeV-TeV
Externí odkaz:
http://arxiv.org/abs/2407.11737
Autor:
Wang, Qianchao, Zhang, Shijun, Zeng, Dong, Xie, Zhaoheng, Guo, Hengtao, Fan, Feng-Lei, Zeng, Tieyong
In this paper, we propose a new super-expressive activation function called the Parametric Elementary Universal Activation Function (PEUAF). We demonstrate the effectiveness of PEUAF through systematic and comprehensive experiments on various industr
Externí odkaz:
http://arxiv.org/abs/2407.09580