Webexport.arxiv.org WebOct 31, 2024 · by Guokun Lai, et al. ∙ Carnegie Mellon University ∙ 0 ∙ share Convolution Neural Network (CNN) has gained tremendous success in computer vision tasks with its outstanding ability to capture the local latent features. Recently, there has been an increasing interest in extending CNNs to the general spatial domain.

Guokun Lai - ACL Anthology

WebSep 16, 2024 · We combine state-of-the-art cross-lingual methods with recently proposed methods for weakly supervised learning such as unsupervised pre-training and unsupervised data augmentation to simultaneously close both the language gap and the domain gap in XLU. We show that addressing the domain gap is crucial. We improve … WebAbout. I am a last year PhD student working with Professor Yiming Yang in Language Technologies Institute of School of Computer Science at … the gap returns

Learning Graph Convolution Filters from Data Manifold DeepAI

WebWe are looking for three additional members to join the dblp team. (more information) WebMar 21, 2024 · Download a PDF of the paper titled Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks, by Guokun Lai and 3 other authors Download PDF Abstract: Multivariate time series forecasting is an important machine learning problem across many domains, including predictions of solar plant energy … Webcmu的计算机和人工智真的很强！ 从Scopus查找文章的第一作者Guokun Lai，如果没猜错的话，其应该是清华的留学生。 好了，说完文章的背景，我们开始关注文章中的具体内 … the american handshake