实验室研究员在CCF推荐 国际知名学术期刊Neural Processing Letters上发表文章Hierarchical Task-Incremental Learning withInspired byNeural Collapse[PDF] 1.Instruction 一个好的终身学习模型能够随着时间的推移不断地更新其概念词汇,这与人类不断的完善和扩展其对概念层次的理解的方式如出一辙。举例来说,人类最初学习“...
基本信息 JCR分区信息 中科院分区信息 CiteScore分区信息 其它信息(AJG星级、CCF等级) 审稿周期和出版信息Neural Processing Letters 期刊信息 基本信息期刊全称 Neural Processing Letters 期刊简称 NPL Print ISSN 1370-4621 Online ISSN 1573-773X 期刊出版社 Springer 是否...
实验室研究员在国际知名学术期刊Neural Processing Letters上发表文章，文章标题为"Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse"。此文章旨在探讨如何构建一个能随时间更新概念词汇的终身学习模型，以类比人类对概念层次的理解。文章指出，现有许多增量学习...
计算机科学1-4区都有SCI王牌水刊 | 4区水刊: 🔹《Computer Journal》 IF=1.5,年文章量147篇。非OA,CCFB老牌期刊 🔹《NEURAL PROCESSING LETTERS》 IF=2.6,年文章量约317篇。0A,Springer出版,专注计算机科学中人工智能领域,包括理论开发、生物模型、学习、应用、软件和硬件开发等。发文量稳增,收文章类型多,...
Neural Processing Letters Aims and scope Submit manuscript Heng Wang & Yunlong Yu 498 Accesses 9 Citations Explore all metrics Abstract The rapid development of remote sensing technology let us acquire a large collection of remote sensing scene images with high resolution. Aerial scene classification...
Multi-label text classification task is one of the research hotspots in the field of natural language processing. However, most of the existing multi-label
期刊信息 Neural Processing Letters (NPL) https://link.springer.com/journal/11063 影响因子: 2.600 出版商: Springer ISSN: 1370-4621 浏览: 20401 关注: 20 征稿 Aims and scope Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributi...
CCFCOREQUALIS简称全称截稿日期通知日期会议日期 ba*b1IJCARInternational Joint Conference on Automated Reasoning2024-01-292024-03-282024-07-01 MINDInternational Conference on Machine Learning, Image Processing, Networks and Data Sciences2018-12-152018-12-302019-03-03 ...
文章提出了两个新的激活函数:sigmoid-weighted linear unit (SiLU) 和其导函数 (dSiLU),并探讨了使用on-policy learning with eligibility traces 和softmax action selection的传统方法与DQN相比的竞争力。文章通过在stochastic SZ-Tetris、Tetris和Atari 2600游戏领域的实验验证了新方法的有效性, 并展示了Sarsa(λ)...
We use lowercase letters such as u to represent a random variable. In particular, we use u,v,e,y to represent a specific user, item, preference and recommendation variable. Moreover, we use bold font lowercase to represent the latent vector embeddings, such as u,v,e,y∈Rd, where d ...