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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49篇
【1】 LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging
标题：语言学家：为意图分类和槽标记生成注释话语的语言模型指令调整
链接：https://arxiv.org/abs/2209.09900
作者：Andy Rosenbaum,Saleh Soltan,Wael Hamza,Yannick Versley,Markus Boese
机构：Amazon, Cambridge, USA, Amazon, New York, USA, Amazon, Dallas, USA, Amazon, Aachen, Germany
备注：Accepted to The 29th International Conference on Computational Linguistics (COLING 2022) October 12-17, 2022, Gyeongju, Republic of Korea this https URL
【2】 Soft Action Priors: Towards Robust Policy Transfer
标题：软行动优先：迈向强有力的政策转移
链接：https://arxiv.org/abs/2209.09882
作者：Matheus Centa,Philippe Preux
机构： Univ. Lille, CNRS, Inria
备注：Preprint
【3】 Open-vocabulary Queryable Scene Representations for Real World Planning
标题：用于现实世界规划的开放式词汇可查询场景表示
链接：https://arxiv.org/abs/2209.09874
作者：Boyuan Chen,Fei Xia,Brian Ichter,Kanishka Rao,Keerthana Gopalakrishnan,Michael S. Ryoo,Austin Stone,Daniel Kappler
【4】 On resolving conflicts between arguments
标题：论论据间冲突的解决
链接：https://arxiv.org/abs/2209.09838
作者：Nico Roos
机构：Institute for Knowledge and Agent Technology, Maastricht University
备注：None
【5】 Efficient Model Based Diagnosis
标题：高效的基于模型的诊断
链接：https://arxiv.org/abs/2209.09819
作者：Nico Roos
机构：This paper has been published in Intelligent Systems Engineering (,) ,-,.
备注：None
【6】 PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
标题：PainPoints：一种基于语言的慢性疼痛检测与专家协作文本摘要框架
链接：https://arxiv.org/abs/2209.09814
作者：Shreyas Fadnavis,Amit Dhurandhar,Raquel Norel,Jenna M Reinen,Carla Agurto,Erica Secchettin,Vittorio Schweiger,Giovanni Perini,Guillermo Cecchi
机构：Jenna Reinen∗, †Harvard Medical School, ∗IBM Research, ‡University of Verona
【7】 Predictive Scale-Bridging Simulations through Active Learning
标题：基于主动学习的预测性尺度桥接模拟
链接：https://arxiv.org/abs/2209.09811
作者：Satish Karra,Mohamed Mehana,Nicholas Lubbers,Yu Chen,Abdourahmane Diaw,Javier E. Santos,Aleksandra Pachalieva,Robert S. Pavel,Jeffrey R. Haack,Michael McKerns,Christoph Junghans,Qinjun Kang,Daniel Livescu,Timothy C. Germann,Hari S. Viswanathan
机构：Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, NM, USA, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
【8】 An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots
标题：一种提高移动机器人视觉异常检测性能的离群点暴露方法
链接：https://arxiv.org/abs/2209.09786
作者：Dario Mantegazza,Alessandro Giusti,Luca Maria Gambardella,Jérôme Guzzi
机构：LucaMariaGambardellaand J´erˆome Guzzi are with the Dalle Molle Institute for ArtificialIntelligence(IDSIA)
备注：None
【9】 A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle
标题：基于深度强化学习的增广拉格朗日电动汽车充电调度方法
链接：https://arxiv.org/abs/2209.09772
作者：Guibin. Chen,Xiaoying. Shi
机构： Shi are with Tsinghua-Berkeley Shenzhen Institute, Tsinghua University
【10】 SCGG: A Deep Structure-Conditioned Graph Generative Model
标题：SCGG：一种深层结构条件图生成模型
链接：https://arxiv.org/abs/2209.09681
作者：Faezeh Faez,Negin Hashemi Dijujin,Mahdieh Soleymani Baghshah,Hamid R. Rabiee
机构： Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
【11】 A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
标题：一种简单的时态知识图间实体对齐的时态信息匹配机制
链接：https://arxiv.org/abs/2209.09677
作者：Li Cai,Xin Mao,Meirong Ma,Hao Yuan,Jianchao Zhu,Man Lan
机构：School of Computer Science and Technology, East China Normal University, College of Computer Science and Technology, Guizhou University, Shanghai Transsion Co., Ltd
备注：Accepted by COLING 2022
【12】 Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
标题：基于样本的可解释聚类：复杂性和高效近似算法
链接：https://arxiv.org/abs/2209.09670
作者：Ian Davidson,Michael Livanos,Antoine Gourru,Peter Walker,Julien Velcin,S. S. Ravi
机构：Received: date Accepted: date
备注：22 pages; 4 figures
【13】 Documenting use cases in the affective computing domain using Unified Modeling Language
标题：使用统一建模语言记录情感计算领域的用例
链接：https://arxiv.org/abs/2209.09666
作者：Isabelle Hupont,Emilia Gomez
机构：European Commission, Joint Research Centre (JRC), Seville, Spain, Emilia G´omez
备注：8 pages, 5 figures, 2 tables
【14】 Autonomous Visual Navigation A Biologically Inspired Approach
标题：自主视觉导航--一种生物启发的方法
链接：https://arxiv.org/abs/2209.09663
作者：Sotirios Athanasoulias,Andy Philippides
机构：Candidate Number:, Supervisor: Dr. Andrew Philippides, Submitted for the degree of Bachelors of Computer Science & Artificial, Intelligence University of Sussex
备注：57 pages, 39 figures, Computer Science & Artificial Intelligence Dissertation, University of Sussex
【15】 Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects
标题：Ki-Pode：基于关键点的刚体目标隐式姿态分布估计
链接：https://arxiv.org/abs/2209.09659
作者：Thorbjørn Mosekjær Iversen,Rasmus Laurvig Haugaard,Anders Glent Buch
机构：SDU Robotics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, DK
备注：11 pages, 2 figures
【16】 Safe Reinforcement Learning with Contrastive Risk Prediction
标题：具有对比风险预测的安全强化学习
链接：https://arxiv.org/abs/2209.09648
作者：Hanping Zhang,Yuhong Guo
机构：Carleton University, Ottawa, Canada
【17】 Multi-level Explanation of Deep Reinforcement Learning-based Scheduling
标题：基于深度强化学习的调度问题的多层次解释
链接：https://arxiv.org/abs/2209.09645
作者：Shaojun Zhang,Chen Wang,Albert Zomaya
机构：School of Computer Science, The University of Sydney, CSIRO Data, Sydney, Australia
备注：Accepted in the MLSys'22 Workshop on Cloud Intelligence / AIOps
【18】 Machine Learning Models Evaluation and Feature Importance Analysis on NPL Dataset
标题：基于NPL数据集的机器学习模型评价及特征重要度分析
链接：https://arxiv.org/abs/2209.09638
作者：Rufael Fekadu,Anteneh Getachew,Yishak Tadele,Nuredin Ali,Israel Goytom
机构：School of Electrical and Computer Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia, Chapa AI Research (ChAIR), Chapa Financial Technologies
备注：7 pages, 2 figures, Machine Learning for Development (ML4D) workshop at NeurIPS 2021
【19】 Artificial Intelligence in Concrete Materials: A Scientometric View
标题：混凝土材料中的人工智能：科学计量学观点
链接：https://arxiv.org/abs/2209.09636
作者：Zhanzhao Li,Aleksandra Radlińska
机构：Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA
备注：Book chapter in M. Z. Naser (Ed.), Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure. CRC Press
【20】 A Reference Model for Common Understanding of Capabilities and Skills in Manufacturing
标题：制造业能力和技能共同理解的参考模型
链接：https://arxiv.org/abs/2209.09632
作者：Aljosha Köcher,Alexander Belyaev,Jesko Hermann,Jürgen Bock,Kristof Meixner,Magnus Volkmann,Michael Winter,Patrick Zimmermann,Stephan Grimm,Christian Diedrich
机构：Otto von Guericke Universit¨at Magdeburg, Technologie-Initiative SmartFactory KL e.V., Technische Hochschule Ingolstadt, Christian-Doppler-Laboratory-SQI, TU Wien, TU Kaiserslautern, WSKL, RWTH Aachen University
【21】 Sequence Learning using Equilibrium Propagation
标题：基于均衡传播的序列学习算法
链接：https://arxiv.org/abs/2209.09626
作者：Malyaban Bal,Abhronil Sengupta
机构：The Pennsylvania State University
【22】 Personal Attribute Prediction from Conversations
标题：从对话中预测个人属性
链接：https://arxiv.org/abs/2209.09619
作者：Yinan Liu,Hu Chen,Wei Shen
机构：TKLNDST, College of Computer Science, Nankai University, Tianjin, China
备注：Accepted by WWW'22 Companion
【23】 On a Uniform Causality Model for Industrial Automation
标题：关于工业自动化的统一因果关系模型
链接：https://arxiv.org/abs/2209.09618
作者：Maria Krantz,Alexander Windmann,Rene Heesch,Lukas Moddemann,Oliver Niggemann
机构：∗Institute of Automation, Helmut Schmidt University, Hamburg, Germany, ††Equal contribution
【24】 Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
标题：便于贝叶斯推理的流行病模型的Seq2Seq代理
链接：https://arxiv.org/abs/2209.09617
作者：Giovanni Charles,Timothy M. Wolock,Peter Winskill,Azra Ghani,Samir Bhatt,Seth Flaxman
机构：Imperial College London
【25】 Analysis Of The Anytime MAPF Solvers Based On The Combination Of Conflict-Based Search (CBS) and Focal Search (FS)
标题：基于冲突搜索和焦点搜索相结合的Anytime MAPF求解器分析
链接：https://arxiv.org/abs/2209.09612
作者：Ilya Ivanashev,Anton Andreychuk,Konstantin Yakovlev
机构： HSE University, Moscow, Russia, AIRI, Moscow, Russia, Federal Research Center for Computer Science and Control of Russian Academy of, Sciences, Moscow, Russia
备注：This is a preprint of the paper accepted to MICAI 2022
【26】 Graph Value Iteration
标题：图值迭代
链接：https://arxiv.org/abs/2209.09608
作者：Dieqiao Feng,Carla P. Gomes,Bart Selman
机构：Department of Computer Science, Cornell University
【27】 FACT: Learning Governing Abstractions Behind Integer Sequences
标题：事实：学习管理整数序列背后的抽象
链接：https://arxiv.org/abs/2209.09543
作者：Peter Belcák,Ard Kastrati,Flavio Schenker,Roger Wattenhofer
机构：ETH Zürich, Zürich, Switzerland
备注：Accepted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. 37 pages
【28】 Towards Task-Prioritized Policy Composition
标题：走向按任务优先的政策组合
链接：https://arxiv.org/abs/2209.09536
作者：Finn Rietz,Erik Schaffernicht,Todor Stoyanov,Johannes A. Stork
机构： ¨Orebro University, 2Department of Computing and Software, McMaster University
【29】 Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study
标题：临床治疗说明性指南符合性检查：一个案例研究
链接：https://arxiv.org/abs/2209.09535
作者：Joscha Grüger,Tobias Geyer,Martin Kuhn,Stefan Braun,Ralph Bergmann
机构： University of Trier, Business Information Systems II, Trier, Germany, German Research Center for Artificial Intelligence (DFKI), SDS Branch Trier, Dept. of Dermatology, University Hospital M¨unster, M¨unster, Germany
【30】 Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
标题：学会解释：通过思维链进行多通道推理的科学问题解答
链接：https://arxiv.org/abs/2209.09513
作者：Pan Lu,Swaroop Mishra,Tony Xia,Liang Qiu,Kai-Wei Chang,Song-Chun Zhu,Oyvind Tafjord,Peter Clark,Ashwin Kalyan
机构：University of California, Los Angeles,Arizona State University,Allen Institute for AI
备注：Accepted to NeurIPS 2022. 21 pages, 17 figures, 9 tables
【31】 Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
标题：电子商务中利用多源先验知识生成对客户评论的说服性回复
链接：https://arxiv.org/abs/2209.09497
作者：Bo Chen,Jiayi Liu,Mieradilijiang Maimaiti,Xing Gao,Ji Zhang
机构：Alibaba Group, Hangzhou, China
备注：Accepted at CIKM 2022 applied research
【32】 Deep Q-Network for AI Soccer
标题：人工智能足球中的深度Q-网络
链接：https://arxiv.org/abs/2209.09491
作者：Curie Kim,Yewon Hwang,Jong-Hwan Kim
机构： Samsung Electronics, KAIST
【33】 Incorporating Casual Analysis into Diversified and Logical Response Generation
标题：将随机性分析纳入多样化和合乎逻辑的反应生成
链接：https://arxiv.org/abs/2209.09482
作者：Jiayi Liu,Wei Wei,Zhixuan Chu,Xing Gao,Ji Zhang,Tan Yan,Yulin Kang
机构：Alibaba Group, China, CCIIP Laboratory, Huazhong University of Science and Technology, China, Joint Laboratory of HUST and Pingan Property & Casualty Research (HPL), China, Ant Group, China
备注：Accepted at COLING 2022
【34】 Unsupervised Early Exit in DNNs with Multiple Exits
标题：在具有多个出口的DNN中无人监督的提前退出
链接：https://arxiv.org/abs/2209.09480
作者：Hari Narayan N U,Manjesh K. Hanawal,Avinash Bhardwaj
机构：MLiONS Lab, IEOR, IIT Bombay, Mumbai, India, Mechanical Engineering
备注：To be presented at International conference on AI-ML systems
【35】 SparCL: Sparse Continual Learning on the Edge
标题：SPARCL：边缘稀疏连续学习
链接：https://arxiv.org/abs/2209.09476
作者：Zifeng Wang,Zheng Zhan,Yifan Gong,Geng Yuan,Wei Niu,Tong Jian,Bin Ren,Stratis Ioannidis,Yanzhi Wang,Jennifer Dy
机构： Northeastern University, College of William and Mary
备注：Published at NeurIPS 2022 as a conference paper
【36】 SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
标题：SleePyCo：基于特征金字塔和对比学习的自动睡眠评分
链接：https://arxiv.org/abs/2209.09452
作者：Seongju Lee,Yeonguk Yu,Seunghyeok Back,Hogeon Seo,Kyoobin Lee
机构： and Kyoobin Lee are withthe School of Integrated Technology, Gwangju Institute of Science andTechnology, •Hogeon Seo is with Korea Atomic Energy Research Institute
备注：14 pages, 3 figures, 8 tables
【37】 A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret
标题：降低基线后悔的联合模仿-强化学习框架
链接：https://arxiv.org/abs/2209.09446
作者：Sheelabhadra Dey,Sumedh Pendurkar,Guni Sharon,Josiah P. Hanna
机构：TexasA&M University, edu 2 School of Informatics, University of Edinburgh
备注：IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
【38】 Locally Constrained Representations in Reinforcement Learning
标题：强化学习中的局部约束表示
链接：https://arxiv.org/abs/2209.09441
作者：Somjit Nath,Samira Ebrahimi Kahou
机构：ÉTS Montréal,Mila, Quebec AI Institute,CIFAR AI Chair.
【39】 CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction
标题：CofeNet：面向复杂引文抽取的上下文和前标签增强型网络
链接：https://arxiv.org/abs/2209.09432
作者：Yequan Wang,Xiang Li,Aixin Sun,Xuying Meng,Huaming Liao,Jiafeng Guo
机构：Beijing Academy of Artificial Intelligence, Beijing, China, Alibaba Group, China, School of Computer Science and Engineering, Nanyang Technological University, Singapore, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
备注：Accepted by COLING 2022
【40】 Multi-armed Bandit Learning on a Graph
标题：图上的多臂强盗学习
链接：https://arxiv.org/abs/2209.09419
作者：Tianpeng Zhang,Kasper Johansson,Na Li
机构： School of Engineering and Applied Sciences, Harvard University, Cambridge, MA , USA., School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-, Stockholm, Sweden
【41】 Development of a Modular and Submersible Soft Robotic Arm and Corresponding Learned Kinematics Models
标题：模块化潜水软机械臂及其学习运动学模型的研制
链接：https://arxiv.org/abs/2209.09358
作者：W. David Null,YZ
机构：Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, Y Z, Department of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI
备注：12 pages, 10 figures
【42】 Understanding reinforcement learned crowds
标题：了解强化学习人群
链接：https://arxiv.org/abs/2209.09344
作者：Ariel Kwiatkowski,Vicky Kalogeiton,Julien Pettré,Marie-Paule Cani
机构：LIX, ´Ecole PolytechniqueCNRS, Institut Polytechnique de Paris, Palaiseau, France, INRIA Rennes, France, A R T I C L E I N F O
备注：Accepted for publication at MIG 2022
【43】 Training an Assassin AI for The Resistance: Avalon
标题：为抵抗组织训练人工智能刺客：阿瓦隆
链接：https://arxiv.org/abs/2209.09331
作者：Robert Chuchro
机构：Equal contribution 1Department of Computer Science, Stanford University
【44】 MAN: Multi-Action Networks Learning
标题：MAN：多行动网络学习
链接：https://arxiv.org/abs/2209.09329
作者：Keqin Wang,Alison Bartsch,Amir Barati Farimani
机构： we 1Department of Mechanical Engineering, Carnegie Mellon University
【45】 Deep Linear Networks can Benignly Overfit when Shallow Ones Do
标题：深线性网络可以温和地超配，而浅层网络则可以
链接：https://arxiv.org/abs/2209.09315
作者：Niladri S. Chatterji,Philip M. Long
机构：Stanford University, Google
【46】 Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
标题：二阶系统自适应控制的元强化学习
链接：https://arxiv.org/abs/2209.09301
作者：Daniel G. McClement,Nathan P. Lawrence,Michael G. Forbes,Philip D. Loewen,Johan U. Backström,R. Bhushan Gopaluni
机构： Our approach is to train ameta-RL agent offline by exposing it to a broad distribution 1Department of Chemical and Biological Engineering, University ofBritish Columbia, BC Canada 2Department of Mathematics, University of British Columbia
备注：AdCONIP 2022. arXiv admin note: substantial text overlap with arXiv:2203.09661
【47】 Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization
标题：带内插一致性正则化的分布式半监督模糊回归
链接：https://arxiv.org/abs/2209.09240
作者：Ye Shi,Leijie Zhang,Zehong Cao,M. Tanveer,Chin-Teng Lin
机构：Zehong Cao is with the School of Computer Science, University ofTechnology Sydney
备注：None
【48】 Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
标题：可信人工智能中的非成像医学数据合成：综述
链接：https://arxiv.org/abs/2209.09239
作者：Xiaodan Xing,Huanjun Wu,Lichao Wang,Iain Stenson,May Yong,Javier Del Ser,Simon Walsh,Guang Yang
机构： Alan Turing Institute
备注：35 pages, Submitted to ACM Computing Surveys
【49】 Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO
标题：基于深度学习的可重构智能表面辅助太赫兹海量MIMO速率分割多址接入
链接：https://arxiv.org/abs/2209.08456
作者：Minghui Wu,Zhen Gao,Yang Huang,Zhenyu Xiao,Derrick Wing Kwan Ng,Zhaoyang Zhang
机构： Xiao is with the School of Electronic andInformation Engineering, Beihang University
备注：submitted to IEEE Journal on Selected Areas in Communications
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。 |
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发表于 2022-9-21 18:54:56