整体架构源于 WebQA 的参考论文Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question。 这篇论文有几个特点: 直接将问题用 LSTM 编码后得到“问题编码”,然后拼接到材料的每一个词向量中 人工提取了 2 个共现特征 将最后的预测转化为了一个序列标注任务,用 CRF 解决 而DGCNN 基...
convolutional neural network-gated recurrent unit neural networkWith the popular application of deep learning-based models in various classification problems, more and more researchers have applied these models to environmental sound classification (ESC) tasks in recent years. However, the performance of ...
dilated gated convolutional groups 概述及范文模板 1. 引言部分: 1.1 概述: 在深度学习领域,卷积神经网络(Convolutional Neural Networks, CNN)是一种重要且广泛应用的算法。然而,在处理某些特定类型的数据时,传统的卷积操作可能存在一些限制和不足之处。为了解决这些问题,研究人员引入了一种新型的卷积算法称为Dilated...
Language Modeling with Gated Convolutional Networks ( GLU )理解,程序员大本营,技术文章内容聚合第一站。
3.2. Gated convolutional neural networks A GCNN is a non-recurrent network alternative to capture long-term dependencies while avoiding sequential operations for better parallelizability. Thus, recurrent connections typically applied in RNNs are replaced by gated temporal convolutions. In general, convol...
论文阅读 Aspect Based Sentiment Analysis with Gated Convolutional Networks,程序员大本营,技术文章内容聚合第一站。
Tu. Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. International Conference on Artificial Intelligence and Statistics, 2016.Lee, C.-Y., Gallagher, P. W. & Tu, Z. Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree. in...
This can be addressed well by Convolutional Neural Networks (CNN) which supports automatic feature extraction. It is capable of learning the global features from images effectively for image classification. But it loses the context of local information among the pixels that need to be retained for ...
大概介绍了Convolutional Neural Networks和Vision Transformers 总结 提出一种新的用于视觉表示学习的纯ConvNet,命名为MogaNet。具体而言,设计一个空间聚合块和一个自适应channel聚合块,以在复杂度性能权衡范式下捕获上下文表示和多阶交互,广泛实验验证了MogaNet在主流视觉任务中与最先进ConvNets,ViT和混合架构相比的巨大...
许多最近的机器学习模型,包括Temporal convolutional networks[19])(rTemporal convolutional networksfor action segmentation and detection,)、核学习[20](i, Large scale online multiple kernel regression withapplication to time-series prediction, )和transformer[21]( Attend and diagnose: clinicaltime series analy...