历史文章列表 网站https://www.arxivdaily.com/
注：含中英文摘要速递见公众号【arXiv每日学术速递】,涵盖CS|物理|数学|经济|统计|金融|生物|电气等领域。

cs.AI人工智能，共计38篇

【1】 AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
标题：AGO-NET：协会引导的三维点云目标检测网络
链接：https://arxiv.org/abs/2208.11658
作者：Liang Du,Xiaoqing Ye,Xiao Tan,Edward Johns,Bo Chen,Errui Ding,Xiangyang Xue,Jianfeng Feng
机构： Zhejiang NormalUniversity
备注：12 pages

【2】 Constraint-driven multi-task learning
标题：约束驱动的多任务学习
链接：https://arxiv.org/abs/2208.11656
作者：Bogdan Cretu,Andrew Cropper
机构：University of Oxford, Trinity , arXiv:,.,v, [cs.LG] , Aug
备注：4th year undergraduate project at the University of Oxford

【3】 A Review of Knowledge Graph Completion
标题：知识图补全研究述评
链接：https://arxiv.org/abs/2208.11652
作者：Mohamad Zamini,Hassan Reza,Minou Rabiei
机构： Department of Computer Science, University of North Dakota, Grand Forks, ND , USA, Department of Petroleum Engineering, University of North Dakota, Grand Forks, ND , USA
备注：None

【4】 Repair Is Nearly Generation: Multilingual Program Repair with LLMs
标题：修复即将生成：使用LLMS的多语言程序修复
链接：https://arxiv.org/abs/2208.11640
作者：Harshit Joshi,José Cambronero,Sumit Gulwani,Vu Le,Ivan Radicek,Gust Verbruggen
机构： Microsoft, India, Microsoft, USA, Microsoft, Croatia, Microsoft, Belgium

【5】 ImitAL: Learned Active Learning Strategy on Synthetic Data
标题：ImitAL：基于合成数据的学习主动学习策略
链接：https://arxiv.org/abs/2208.11636
作者：Julius Gonsior,Maik Thiele,Wolfgang Lehner
机构：Technische Universitt Dresden, Dresden, Germany, Hochschule für Technik und Wirtschaft Dresden
备注：arXiv admin note: text overlap with arXiv:2108.07670

【6】 On a Built-in Conflict between Deep Learning and Systematic Generalization
标题：论深度学习与系统泛化的内在冲突
链接：https://arxiv.org/abs/2208.11633
作者：Yuanpeng Li

【7】 Graphical Models of False Information and Fact Checking Ecosystems
标题：虚假信息和事实核查生态系统的图形模型
链接：https://arxiv.org/abs/2208.11582
作者：Haiyue Yuan,Enes Altuncu,Shujun Li,Can Baskent
机构：Institute of Cyber Security for Society (iCSS) & School of Computing, University of Kent, UK, Department of Computer Science, Middlesex University, UK

【8】 Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
标：深度符号学习：从感知中发现符号和规则
链接：https://arxiv.org/abs/2208.11561
作者：Alessandro Daniele,Tommaso Campari,Sagar Malhotra,Luciano Serafini
机构：Fondazione Bruno Kessler, Trento, Italy, Universita degli Studi di Padova, Italy, Universita degli Studi di Trento, Italy

【9】 Toward a Reasoning and Learning Architecture for Ad Hoc Teamwork
标题：一种面向自组网的推理与学习体系结构
链接：https://arxiv.org/abs/2208.11556
作者：Hasra Dodampegama,Mohan Sridharan
机构：School of Computer Science, University of Birmingham, UK
备注：14 pages, 11 figures

【10】 CheapET-3: Cost-Efficient Use of Remote DNN Models
标题：Cheapet-3：经济高效地使用远程DNN模型
链接：https://arxiv.org/abs/2208.11552
作者：Michael Weiss
机构：Università della Svizzera italiana, Lugano, Switzerland
备注：Research Abstract. Contact me for a pre-print of the full paper (currently not yet published)

【11】 A model-based approach to meta-Reinforcement Learning: Transformers and tree search
标题：一种基于模型的元强化学习方法：变形器和树搜索
链接：https://arxiv.org/abs/2208.11535
作者：Brieuc Pinon,Jean-Charles Delvenne,Raphal Jungers
机构：ICTEAMINMA, UCLouvain, Belgium

【12】 Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting
标题：用于流行病预测的序列间和序列内嵌入融合网络
链接：https://arxiv.org/abs/2208.11515
作者：Feng Xie,Zhong Zhang,Xuechen Zhao,Bin Zhou,Yusong Tan
机构：National University of Defense, Technology, Changsha, China
备注：6 pages, 5 figures, SEKE2022

【13】 A Graph Convolution for Signed Directed Graphs
标题：带符号有向图的一种图卷积
链接：https://arxiv.org/abs/2208.11511
作者：Taewook Ko
备注：Preprint version

【14】 A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates
标题：最短路问题在具有多个边代价估计的图中的推广
链接：https://arxiv.org/abs/2208.11489
作者：Eyal Weiss,Gal A. Kaminka
机构：The MAVERICK Group, Bar-Ilan University, Israel

【15】 Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
标题：多场景个性化推荐的场景自适应自监督模型
链接：https://arxiv.org/abs/2208.11457
作者：Yuanliang Zhang,Xiaofeng Wang,Jinxin Hu,Ke Gao,Chenyi Lei,Fei Fang
机构：Alibaba Group, Hangzhou, China
备注：Accepted by CIKM 2022

【16】 Dynamic Template Initialization for Part-Aware Person Re-ID
标题：部件感知人员Re-ID的动态模板初始化
链接：https://arxiv.org/abs/2208.11440
作者：Kalana Abeywardena,Shechem Sumanthiran,Sanoojan Baliah,Nadarasar Bahavan,Nalith Udugampola,Ajith Pasqual,Chamira Edussooriya,Ranga Rodrigo
机构：Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka
备注：11 pages, 3 figures

【17】 Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
标题：用于定制用电反馈的可解释人工智能--可视化的实验评估
链接：https://arxiv.org/abs/2208.11408
作者：Jacqueline Wastensteiner,Tobias M. Weiss,Felix Haag,Konstantin Hopf
机构：http://bamberg.de

【18】 Augmented cross-selling through explainable AI -- a case from energy retailing
标题：通过可解释的人工智能加强交叉销售--以能源零售业为例
链接：https://arxiv.org/abs/2208.11404
作者：Felix Haag,Konstantin Hopf,Pedro Menelau Vasconcelos,Thorsten Staake
机构： University of Bamberg

【19】 Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning
标题：强化学习中基于时间不一致性的自监督探索
链接：https://arxiv.org/abs/2208.11361
作者：Zijian Gao,Kele Xu,HengXing Cai,Yuanzhao Zhai,Dawei Feng,Bo Ding,XinJun Mao,Huaimin Wang
机构： National University of Defense Technology, Changsha, China, Paradigm, Beijing, China

【20】 Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
标题：基于Transformer的目标探测器中多尺度特征的有效利用
链接：https://arxiv.org/abs/2208.11356
作者：Gongjie Zhang,Zhipng Luo,Yingchen Yu,Zichen Tian,Jingyi Zhang,Shijian Lu
机构：Nanyang Technological University, Singapore
备注：Project page: this https URL

【21】 Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
标题：基于动态记忆的好奇心：探索的Bootstrap方法
链接：https://arxiv.org/abs/2208.11349
作者：Zijian Gao,Kele Xu,YiYing Li,Yuanzhao Zhai,Dawei Feng,Bo Ding,XinJun Mao,Huaimin Wang
机构： National University of Defense Technology, Changsha, China, Artificial Intelligence Research Center, DII, Beijing, China

【22】 Advanced Tools and Methods for Treewidth-Based Problem Solving -- Extended Abstract
标题：基于树宽的问题求解的高级工具和方法--扩展摘要
链接：https://arxiv.org/abs/2208.11340
作者：Markus Hecher
备注：This is an extended abstract of a binational PhD thesis that has been awarded with the EurAI Dissertation Award 2021, see this https URL

【23】 Enhancing Deep Learning Performance of Massive MIMO CSI Feedback
标题：提高海量MIMO CSI反馈的深度学习性能
链接：https://arxiv.org/abs/2208.11333
作者：Sijie Ji,Mo Li
机构：Nanyang Technological University
备注：This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice

【24】 Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
标题：资源受限边缘环境下分布式数据集抽取的联合学习
链接：https://arxiv.org/abs/2208.11311
作者：Rui Song,Dai Liu,Dave Zhenyu Chen,Andreas Festag,Carsten Trinitis,Martin Schulz,Alois Knoll
机构：Fraunhofer IVI, Technical University of Munich, Technische Hochschule Ingolstadt

【25】 Visual Subtitle Feature Enhanced Video Outline Generation
标题：视觉字幕功能增强的视频大纲生成
链接：https://arxiv.org/abs/2208.11307
作者：Qi Lv,Ziqiang Cao,Wenrui Xie,Derui Wang,Jingwen Wang,Zhiyong Hu,Tangkun Zhang,Yuan Ba,Yuanhang Li,Min Cao,Wenjie Li,Sujian Li,Guohong Fu
机构：Institution for Artificial Intelligence, Soochow University, China, Baidu Inc., Beijing, China, The Hong Kong Polytechnic University, Key Laboratory of Computational Linguistics, Peking University, MOE, China

【26】 Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
标题：半监督和无监督深度视觉学习研究综述
链接：https://arxiv.org/abs/2208.11296
作者：Yanbei Chen,Massimiliano Mancini,Xiatian Zhu,Zeynep Akata
机构： Zhu is with the University of Surrey
备注：IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022

【27】 Multi-AI Complex Systems in Humanitarian Response
标题：人道主义响应中的多人工智能复杂系统
链接：https://arxiv.org/abs/2208.11282
作者：Joseph Aylett-Bullock,Miguel Luengo-Oroz
备注：None

【28】 Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction
标题：用于药物相互作用预测的分子结构感知网络
链接：https://arxiv.org/abs/2208.11267
作者：Xinyu Zhu,Yongliang Shen,Weiming Lu
机构：Zhejiang University, Hangzhou, China
备注：Accepted to CIKM 2022 (Short), camera ready version

【29】 SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
标题：规模：无先验知识的在线自我监督终身学习
链接：https://arxiv.org/abs/2208.11266
作者：Xiaofan Yu,Yunhui Guo,Sicun Gao,Tajana Rosing
机构： University of California San Diego, University of Texas at Dallas
备注：Submitted for review

【30】 FashionVQA: A Domain-Specific Visual Question Answering System
标题：FashionVQA：一种特定领域的可视化问答系统
链接：https://arxiv.org/abs/2208.11253
作者：Min Wang,Ata Mahjoubfar,Anupama Joshi
机构：Target Corporation, S. Mathilda Place Suite , Sunnyvale, CA

【31】 Psychophysical Machine Learning
标题：心理物理机器学习
链接：https://arxiv.org/abs/2208.11236
作者：B. N. Kausik

【32】 Why Deep Learning's Performance Data Are Misleading
标题：为什么深度学习的性能数据具有误导性
链接：https://arxiv.org/abs/2208.11228
作者：Juyang Weng
机构：Brain-Mind Institute, §GENISAMA LLC, Okemos, MI , USA
备注：6 pages, 2 figures

【33】 On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection
标题：排列问题的适应度景观分析：从距离度量到变异算子选择
链接：https://arxiv.org/as/2208.11188
作者：Vincent A. Cicirello
机构：Computer Science, Stockton University, Vera King Farris Dr, Galloway, NJ, USA.
备注：Accepted by: Mobile Networks and Applications, Special Issue on Foundational Studies in Bio-Inspired Technologies

【34】 The Alberta Plan for AI Research
标题：艾BERT省人工智能研究计划
链接：https://arxiv.org/abs/2208.11173
作者：Richard S. Sutton,Michael H. Bowling,Patrick M. Pilarski
机构：University of Alberta and DeepMind Alberta, Edmonton, Alberta, Canada, History suggests that the road to a firm research consensus is extraordinarily arduous., — Thomas Kuhn, The Structure of Scientific Revolutions

【35】 Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding
标题：基于知识图合并、划分和嵌入的大规模实体对齐
链接：https://arxiv.org/abs/2208.11125
作者：Kexuan Xin,Zequn Sun,Wen Hua,Wei Hu,Jianfeng Qu,Xiaofang Zhou
机构：The University of Queensland, Australia, Nanjing University, China, Soochow University, China, Hong Kong University of Science and, Technology, HKSAR
备注：Accepted by CIKM 2022

【36】 EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
标题：EpiGNN：用图神经网络探索区域疫情预测的空间传播
链接：https://arxiv.org/abs/2208.11517
作者：Feng Xie,Zhong Zhang,Liang Li,Bin Zhou,Yusong Tan
机构：College of Computer, National University of Defense Technology
备注：16 pages, 6 figures, ECML-PKDD2022

【37】 Quantum Multi-Agent Meta Reinforcement Learning
标题：量子多智能体元强化学习
链接：https://arxiv.org/abs/2208.11510
作者：Won Joon Yun,Jihong Park,Joongheon Kim
机构： School of Electrical Engineering, Korea University, seoul, Republic of Korea, School of Information Technology, Deakin University, Geelong, VIC, Australia

【38】 POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study
标题：POPDx：英国生物库研究中对392,246人进行患者表型分析的自动化框架
链接：https://arxiv.org/abs/2208.11223
作者：Lu Yang,Sheng Wang,Russ B. Altman
机构：Deparment of Bioengineering, Stanford University, Stanford, CA , USA, Department of Genetics, Stanford University, Stanford, CA , USA, Department of Medicine, Stanford University, Stanford, CA , USA
备注：44 pages, 6 main figures, 2 main tables

机器翻译由腾讯交互翻译提供，仅供参考

历史文章列表 网站https://www.arxivdaily.com/
注：含中英文摘要速递见公众号【arXiv每日学术速递】,涵盖CS|物理|数学|经济|统计|金融|生物|电气等领域。