Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Chen, HongHao"'
Parameter-efficient transfer learning (PETL) is a promising task, aiming to adapt the large-scale pre-trained model to downstream tasks with a relatively modest cost. However, current PETL methods struggle in compressing computational complexity and
Externí odkaz:
http://arxiv.org/abs/2407.14302
Robustness is a vital aspect to consider when deploying deep learning models into the wild. Numerous studies have been dedicated to the study of the robustness of vision transformers (ViTs), which have dominated as the mainstream backbone choice for
Externí odkaz:
http://arxiv.org/abs/2407.08972
Recently, some large kernel convnets strike back with appealing performance and efficiency. However, given the square complexity of convolution, scaling up kernels can bring about an enormous amount of parameters and the proliferated parameters can i
Externí odkaz:
http://arxiv.org/abs/2403.07589
The well-designed structures in neural networks reflect the prior knowledge incorporated into the models. However, though different models have various priors, we are used to training them with model-agnostic optimizers such as SGD. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2205.15242
Autor:
Liu, Jingxi, Zhu, Mengmeng, Shi, Xiangfeng, Hui, Cang, Sun, Yurong, Zhang, Rong, Jin, Decai, Li, Zhihong, Chen, Honghao, Zhao, Zihua
Publikováno v:
In Science of the Total Environment 10 December 2024 955
Publikováno v:
In Journal of Loss Prevention in the Process Industries December 2024 92
Autor:
Lv, Sitao, Liu, Liming, Guo, Lanpeng, Mai, Zhijian, Chen, Honghao, Wang, Chenxu, Wang, Fengnan, Li, Hao, Lee, Yi-Kuen, Umar Siddiqui, Ahmad M., Yi, Zichuan, Zhou, Guofu, Wang, Yao
Publikováno v:
In Journal of Hazardous Materials 5 October 2024 478
Compared to convolutional layers, fully-connected (FC) layers are better at modeling the long-range dependencies but worse at capturing the local patterns, hence usually less favored for image recognition. In this paper, we propose a methodology, Loc
Externí odkaz:
http://arxiv.org/abs/2112.11081
Autor:
Chen, Honghao, Yue, Xiaorui, Fan, Yifei, Zheng, Bin, Lv, Sitao, Wang, Fengnan, Gao, Yixun, Li, Hao, Lee, Yi-Kuen, French, Patrick J., Umar Siddiqui, Ahmad M., Wang, Yao, Zhou, Guofu
Publikováno v:
In Chemical Engineering Journal 1 August 2024 493
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