1 code implementation • 18 Jan 2024 • Linxin Song, Yan Cui, Ao Luo, Freddy Lecue, Irene Li
Transformer-based models excel in various natural language processing (NLP) tasks, attracting countless efforts to explain their inner workings.
no code implementations • 17 Dec 2023 • Yan Cui, Shuhong Liu, Liuzhuozheng Li, Zhiyuan Yuan
In modern machine learning, the trend of harnessing self-supervised learning to derive high-quality representations without label dependency has garnered significant attention.
no code implementations • 22 Sep 2022 • Wuque Cai, Hongze Sun, Rui Liu, Yan Cui, Jun Wang, Yang Xia, Dezhong Yao, Daqing Guo
Spiking neural networks (SNNs) mimic brain computational strategies, and exhibit substantial capabilities in spatiotemporal information processing.
1 code implementation • 10 Jun 2022 • Hongze Sun, Wuque Cai, Baoxin Yang, Yan Cui, Yang Xia, Dezhong Yao, Daqing Guo
Most existing methods for training SNNs are based on the concept of synaptic plasticity; however, learning in the realistic brain also utilizes intrinsic non-synaptic mechanisms of neurons.
no code implementations • 12 Oct 2021 • Xin Yang, Qingling Chang, Xinlin Liu, Yan Cui
In order to mitigate the boundary blur problem, we focus on the above two impact factors.
no code implementations • 1 Jan 2021 • Yan Cui, Xi Chen, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao
Embedding logical knowledge information into text generation is a challenging NLP task.