5 papers
Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
Qi Wang, Zijun Gao, Mingxiu Sui +3
With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To en…
Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description
Xiaohan Cheng, Taiyuan Mei, Yun Zi +3
Zero sample learning is an effective method for data deficiency. The existing embedded zero sample learning methods only use the known classes to construct the embedded space, so t…
An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation
Zijun Gao, Qi Wang, Taiyuan Mei +3
The traditional SegNet architecture commonly encounters significant information loss during the sampling process, which detrimentally affects its accuracy in image semantic segment…
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
Taiyuan Mei, Yun Zi, Xiaohan Cheng +3
The internal structure and operation mechanism of large-scale language models are analyzed theoretically, especially how Transformer and its derivative architectures can restrict c…
Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs
Ngoc Quach, Qi Wang, Zijun Gao +3
The widespread use of knowledge graphs in various fields has brought about a challenge in effectively integrating and updating information within them. When it comes to incorporati…