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人工智能cs.AI 方向，今日共计90篇

【1】 ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
标题：ComPhy：视频中对象和事件的组合物理推理
作者：Zhenfang Chen,Kexin Yi,Yunzhu Li,Mingyu Ding,Antonio Torralba,Joshua B. Tenenbaum,Chuang Gan
机构*：MIT-IBM Watson AI Lab, Harvard University, The University of Hong Kong, MIT BCS, CBMM, CSAIL
备注：ICLR 2022. Project page: this https URL
链接：点击下载PDF文件

【2】 The Equity Framework: Fairness Beyond Equalized Predictive Outcomes
标题：公平框架：超越均衡化预测结果的公平
作者：Keziah Naggita,J. Ceasar Aguma
机构*： Ceasar Aguma 2 1Toyota Technological Institute at Chicago, edu 2University of California at Irvine
链接：点击下载PDF文件

【3】 Five Ps: Leverage Zones Towards Responsible AI
标题：五个P：杠杆区走向负责任的人工智能
作者：Ehsan Nabavi,Chris Browne
机构*：Responsible Innovation Lab, Australian National Centre for Public Awareness of Science, The Australian National University, Canberra, Australia
链接：点击下载PDF文件

【4】 Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
标题：分析物联网(IoT)和人工智能(AI)在中国智慧城市中的采用挑战
作者：Ke Wang,Yafei Zhao,Rajan Kumar Gangadhari,Zhixing Li
机构*： Department of Civil and Architectural Engineering, Qingdao University of Technology, Shandong , Building Information Technology Innovation Laboratory (BITI Lab), Solearth Architecture Research Center
链接：点击下载PDF文件

【5】 Quantifying Health Inequalities Induced by Data and AI Models
标题：量化数据和人工智能模型引起的健康不平等
作者：Honghan Wu,Minhong Wang,Aneeta Sylolypavan,Sarah Wild
机构*：Institute of Health Informatics, University College London, London, United Kingdom, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
备注：Accepted by IJCAI-ECAI 2022 AI for Good track
链接：点击下载PDF文件

【6】 AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks
标题：Al-PINNS：物理信息神经网络的增广拉格朗日松弛方法
作者：Hwijae Son,Sung Woong Cho,Hyung Ju Hwang
机构*：Equal contribution 1Department of Artificial Intelligence Soft-ware, Hanbat National University, Pohang University of Science and Technology
链接：点击下载PDF文件

【7】 Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset
标题：基于大型EHR数据集的抗精神病药物对ICU妄想症患者影响的因果发现
作者：Riddhiman Adib,Md Osman Gani,Sheikh Iqbal Ahamed,Mohammad Adibuzzaman
机构*：Department of Computer Science, Marquette University, Milwaukee, Wisconsin, USA, Department of Information Systems, University of Maryland, Baltimore County, Baltimore, Maryland, USA, Oregon Clinical and Translational Research Institute
链接：点击下载PDF文件

【8】 Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes
标题：非马尔可夫决策过程中PAC强化学习的马尔可夫抽象
作者：Alessandro Ronca,Gabriel Paludo Licks,Giuseppe De Giacomo
机构*：DIAG, Sapienza University of Rome, Italy
链接：点击下载PDF文件

【9】 Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review
标题：循环经济中的机器学习与人工智能：文献计量分析与系统文献综述
作者：Abdulla All noman,Umma Habiba Akter,Tahmid Hasan Pranto,AKM Bahalul Haque
机构*：Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review”, Annals of Emerging, Technologies in Computing (AETiC), Print ISSN: ,-, Online ISSN: ,-,X, pp. ,-, Vol. , No. , Published, by, International, Association, for
Journal-ref：Annals of Emerging Technologies in Computing (AETiC) , 2022
链接：点击下载PDF文件

【10】 Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
标题：依赖人口统计的算法公平性：在追求公平的过程中表征人口统计数据收集的风险
作者：McKane Andrus,Sarah Villeneuve
备注：21 pages, accepted to FAccT 2022
链接：点击下载PDF文件

【11】 Data Justice in Practice: A Guide for Developers
标题：实践中的数据正义：开发人员指南
作者：David Leslie,Michael Katell,Mhairi Aitken,Jatinder Singh,Morgan Briggs,Rosamund Powell,Cami Rincón,Antonella Perini,Smera Jayadeva,Christopher Burr
备注：arXiv admin note: substantial text overlap with arXiv:2202.02776
链接：点击下载PDF文件

【12】 HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation
标题：HarmoF0：对数尺度膨胀卷积基音估计
作者：Weixing Wei,Peilin Li,Yi Yu,Wei Li
机构*： School of Computer Science and Technology, Fudan University, Shanghai, China, Digital Content and Media Sciences Research Division, National Institute of Informatics (NII), Tokyo, Japan
备注：This paper is accepted by ICME2022
链接：点击下载PDF文件

【13】 Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
标题：三维点云理解的开集半监督学习
作者：Xian Shi,Xun Xu,Wanyue Zhang,Xiatian Zhu,Chuan Sheng Foo,Kui Jia
机构*：South China University of Technology, China, Institute for Infocomm Research, Max Planck Institute for Informatics, Saarland Informatics Campus, Samsung AI Cambridge
链接：点击下载PDF文件

【14】 Knowledge Graph Contrastive Learning for Recommendation
标题：面向推荐的知识图对比学习
作者：Yuhao Yang,Chao Huang,Lianghao Xia,Chenliang Li
机构*：University of Hong Kong, Wuhan University
备注：This paper has been published as a full paper at SIGIR 2022
链接：点击下载PDF文件

【15】 CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
标题：CCLF：一种对比好奇心驱动的样本有效强化学习框架
作者：Chenyu Sun,Hangwei Qian,Chunyan Miao
机构*：Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological University, School of Computer Science and Engineering, Nanyang Technological University, Lund University
备注：Full paper with supplementary material, accepted at IJCAI 2022 under IJCAI-ECAI 2022. Pending for acknowledgement
链接：点击下载PDF文件

【16】 Assessing unconstrained surgical cuttings in VR using CNNs
标题：应用神经网络评估VR中的非限制性手术切开
作者：Ilias Chrysovergis,Manos Kamarianakis,Mike Kentros,Dimitris Angelis,Antonis Protopsaltis,George Papagiannakis
机构*：Greece, FORTH - ICS, University of Crete, University of Crete, ORamaVR, University of Western Macedonia
备注：2 pages, 2 figures, Submitted to the Siggraph '22 Poster Session (Vancouver, 8-11 Aug 2022)
链接：点击下载PDF文件

【17】 A Novel Speech-Driven Lip-Sync Model with CNN and LSTM
标题：一种新的基于CNN和LSTM的语音驱动口型同步模型
作者：Xiaohong Li,Xiang Wang,Kai Wang,Shiguo Lian
机构*：AI Innovation and Application Center, China Unicom, Beijing, China
备注：This paper has been published on CISP-BMEI 2021. See this https URL
链接：点击下载PDF文件

【18】 AI-Driven Contextual Advertising: A Technology Report and Implication Analysis
标题：人工智能驱动的语境广告：一份技术报告及其含义分析
作者：Emil Hglund,Johanna Bjrklund
机构*：A Technology Report and Implication AnalysisEmil H¨aglund and Johanna Bj¨orklundDepartment of Computing Science, SwedenDepartment of Computing ScienceUmea University
链接：点击下载PDF文件

【19】 FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation
标题：FastGCL：基于对比邻域聚集的快速图自监督学习
作者：Yuansheng Wang,Wangbin Sun,Kun Xu,Zulun Zhu,Liang Chen,Zibin Zheng
机构*：Sun Yat-sen University, Nanyang Technological University
链接：点击下载PDF文件

【20】 Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
标题：基于对抗性数据增强的知识图补全正向无标记学习
作者：Zhenwei Tang,Shichao Pei,Zhao Zhang,Yongchun Zhu,Fuzhen Zhuang,Robert Hoehndorf,Xiangliang Zhang
机构*：King Abdullah University of Science and Technology ,Institute of Computing Technology, Chinese, Academy of Sciences ,Institute of Artificial Intelligence, Beihang University ,SKLSDE, School of, Computer Science, Beihang University ,University of Notre Dame
备注：Accepted by IJCAI 2022
链接：点击下载PDF文件

【21】 Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics
标题：让我们达成一致：通过多数动力为不完全偏好设定共识
作者：Sirin Botan,Simon Rey,Zoi Terzopoulou
机构*：UNSW Sydney, Institute for Logic, Language and Computation (ILLC), University of Amsterdam, LAMSADE, Universite Paris Dauphine-PSL
备注：Extended version of forthcoming paper in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-2022)
链接：点击下载PDF文件

【22】 The Application of Energy and Laplacian Energy of Hesitancy Fuzzy Graph Based on Similarity Measures in Decision Making Problems
标题：基于相似度量的犹豫模糊图的能量和拉普拉斯能量在决策问题中的应用
作者：Rajagopal Reddy N,Sharief Basha Shaik
机构*：PhD Scholar, School of Advanced Sciences, Vellore Institute of Technology, Vellore , Tamilnadu, India, S. SHARIEF BASHA, Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore , Tamilnadu, India.
链接：点击下载PDF文件

【23】 GPUNet: Searching the Deployable Convolution Neural Networks for GPUs
标题：GPUNet：在可部署的卷积神经网络中寻找GPU
作者：Linnan Wang,Chenhan Yu,Satish Salian,Slawomir Kierat,Szymon Migacz,Alex Fit Florea
机构*：NVIDIA
备注：to appear at CVPR-2022
链接：点击下载PDF文件

【24】 Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
标题：能效ACMV系统的预测和优化：计算智能方法
作者：Deqing Zhai,Yeng Chai Soh
机构*：School of Electrical and Electronic Engineering, Nanyang Ave, Nanyang, Technological University, Singapore
链接：点击下载PDF文件

【25】 Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics
标题：因果关系优先的功能分解树与材料信息学问题的系统描述
作者：Hiori Kino,Hieu-Chi Dam,Takashi Miyake,Riichiro Mizoguchi
机构*：Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, -, Namiki, Tsukuba, Ibaraki ,-, Japan, Japan Advanced Institute of Science and Technology, -, Asahidai, Nomi, Ishikawa ,- , Japan and
备注：41 page, 13 figures
链接：点击下载PDF文件

【26】 Discrete models of continuous behavior of collective adaptive systems
标题：集体适应系统连续行为的离散模型
作者：Peter Fettke,Wolfgang Reisig
机构*： German Research Center for Artificial Intelligence (DFKI), Saarbr¨ucken, Germany, Saarland University, Saarbr¨ucken, Germany, Humboldt-Universit¨at zu Berlin, Berlin, Germany
备注：15 pages, 14 figures, submitted to ISoLA 2022
链接：点击下载PDF文件

【27】 A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization
标题：一种基于情感归一化的自动决策公平性新方法
作者：Jesse Hoey,Gabrielle Chan
机构*：David R. Cheriton School of Computer Science, University of Waterloo, University Ave. W., Waterloo, Ontario, Canada, N,L,C
链接：点击下载PDF文件

【28】 Deep-Attack over the Deep Reinforcement Learning
标题：深度强化学习中的深度攻击
作者：Yang Li,Quan Pan,Erik Cambria
机构*：Northwestern Polytechnical University, China, Nanyang Technological University, Singapore
备注：Accepted to Knowledge-Based Systems
链接：点击下载PDF文件

【29】 Seeding Diversity into AI Art
标题：将多样性播种到人工智能艺术中
作者：Marvin Zammit,Antonios Liapis,Georgios N. Yannakakis
机构*：Institute of Digital Games, University of Malta, MSD, Malta
备注：10 pages, 4 figures, to be published in the Proceedings of the 13th International Conference on Computational Creativity (ICCC 2022)
链接：点击下载PDF文件

【30】 On verifying expectations and observations of intelligent agents
标题：关于验证智能主体的期望和观察
作者：Sourav Chakraborty,Avijeet Ghosh,Sujata Ghosh,Franois Schwarzentruber
机构*：Indian Statistical Institute, Kolkata, India, Indian Statistical Institute, Chennai, India, Francois Schwarzentruber, ENS Rennes
备注：Accepted in IJCAI-ECAI 2022
链接：点击下载PDF文件

【31】 Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
标题：知识图上多跳推理的类型感知嵌入
作者：Zhiwei Hu,Víctor Gutiérrez-Basulto,Zhiliang Xiang,Xiaoli Li,Ru Li,Jeff Z. Pan
机构*：School of Computer and Information Technology, Shanxi University, China, School of Computer Science and Informatics, Cardiff University, UK, Institute for Infocomm ResearchCentre for Frontier AI Research, ASTAR, Singapore
备注：Accepted to IJCAI-ECAI 2022
链接：点击下载PDF文件

【32】 Large Neighborhood Search based on Neural Construction Heuristics
标题：基于神经结构启发式的大邻域搜索
作者：Jonas K. Falkner,Daniela Thyssens,Lars Schmidt-Thieme
链接：点击下载PDF文件

【33】 Data-driven emotional body language generation for social robotics
标题：用于社交机器人的数据驱动的情感肢体语言生成
作者：Mina Marmpena,Fernando Garcia,Angelica Lim,Nikolas Hemion,Thomas Wennekers
机构*：University of Plymouth, Plymouth, UK, ANYbotics AG, Zurich, Switzerland, Simon Fraser University, British Columbia, Canada, SPACE GmbH, Paderborn, Germany
备注：For the associated video of the generated animations, see this https URL and for a repository of the training data, see this https URL
链接：点击下载PDF文件

【34】 Superredundancy: A tool for Boolean formula minimization complexity analysis
标题：超冗余度：布尔公式最小化复杂性分析工具
作者：Paolo Liberatore
机构*： Sapienza University of Rome
备注：arXiv admin note: substantial text overlap with arXiv:2005.04123
链接：点击下载PDF文件

【35】 FedDKD: Federated Learning with Decentralized Knowledge Distillation
标题：FedDKD：分布式知识提炼的联合学习
作者：Xinjia Li,Boyu Chen,Wenlian Lu
备注：12 pages, 7 figures
链接：点击下载PDF文件

【36】 A Multi-stage deep architecture for summary generation of soccer videos
标题：一种用于足球视频摘要生成的多阶段深度架构
作者：Melissa Sanabria,Frédéric Precioso,Pierre-Alexandre Mattei,Thomas Menguy
链接：点击下载PDF文件

【37】 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
标题：从噪声预测到真实标签：基于产生式模型的噪声预测校正
作者：HeeSun Bae,Seungjae Shin,JoonHo Jang,Byeonghu Na,Kyungwoo Song,Il-Chul Moon
机构*：Korea Advanced Institute of Science and Technology;, University of seoul;
备注：Preprint, 28 pages, 9 figures
链接：点击下载PDF文件

【38】 Deep Video Harmonization with Color Mapping Consistency
标题：具有颜色映射一致性的深度视频调和
作者：Xinyuan Lu,Shengyuan Huang,Li Niu,Wenyan Cong,Liqing Zhang
机构*：MoE Key Lab of Artificial Intelligence, Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China
链接：点击下载PDF文件

【39】 Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)
标题：简单的技术对神经网络测试优先级排序和主动学习的效果出奇地好(可复制性研究)
作者：Michael Weiss,Paolo Tonella
机构*：Università della Svizzera italiana, Lugano, Switzerland
备注：Accepted at ISSTA 2022
链接：点击下载PDF文件

【40】 Enhancing Adversarial Training with Feature Separability
标题：利用特征可分性增强对抗性训练
作者：Yaxin Li,Xiaorui Liu,Han Xu,Wentao Wang,Jiliang Tang
机构*：Michigan State University
备注：10 pages
链接：点击下载PDF文件

【41】 Design equivariant neural networks for 3D point cloud
标题：三维点云等变神经网络的设计
作者：Thuan N. A. Trang,Thieu N. Vo,Khuong D. Nguyen
机构*：Ton Duc Thang University and FPT Software, Ho Chi Minh City, Vietnam, FPT Software Ho Chi Minh
链接：点击下载PDF文件

【42】 Re-defining Radiology Quality Assurance (QA) -- Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS)
标题：重新定义放射质量保证(QA)--基于人工智能(AI)的QA--受限不等分调查(宝瓶座)
作者：Axel Wismuller,Larry Stockmaster,Ali Vosoughi
机构*：Department of Imaging Sciences, University of Rochester, NY, USA, Department of Electrical and Computer Engineering, University of Rochester, NY, USA, Department of Biomedical Engineering, University of Rochester, NY, USA, Ludwig Maximilian University
备注：9 pages, conference
链接：点击下载PDF文件

【43】 Semantically Informed Slang Interpretation
标题：提供语义信息的俚语解释
作者：Zhewei Sun,Richard Zemel,Yang Xu
机构*：Department of Computer Science, University of Toronto, Toronto, Canada, Department of Computer Science, Columbia University, New York, USA, Cognitive Science Program, University of Toronto, Toronto, Canada
备注：Accepted as a long paper at NAACL 2022
链接：点击下载PDF文件

【44】 MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries
标题：MUTR3D：一种基于3D到2D查询的多摄像机跟踪框架
作者：Tianyuan Zhang,Xuanyao Chen,Yue Wang,Yilun Wang,Hang Zhao
机构*：Carnegie Mellon University, Fudan University, Massachusetts Institute of Technology, Li Auto, Tsinghua University
备注：Appear on CVPR 2022 orkshop on Autonomous Driving
链接：点击下载PDF文件

【45】 Adversarial Plannning
标题：对抗性计划
作者：Valentin Vie,Ryan Sheatsley,Sophia Beyda,Sushrut Shringarputale,Kevin Chan,Trent Jaeger,Patrick McDaniel
机构*： Pennsylvania State University
链接：点击下载PDF文件

【46】 Deep Learning with Logical Constraints
标题：带逻辑约束的深度学习
作者：Eleonora Giunchiglia,Mihaela Catalina Stoian,Thomas Lukasiewicz
机构*： Department of Computer Science, University of Oxford, UK, Institute of Logic and Computation, TU Wien, Austria
备注：Survey paper. IJCAI 2022
链接：点击下载PDF文件

【47】 Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation
标题：你的毒性就是我的毒性吗？探讨评分者身份对毒性标注的影响
作者：Nitesh Goyal,Ian Kivlichan,Rachel Rosen,Lucy Vasserman
机构*：Google Research, Google, New York, NY, USA, Ian D. Kivlichan, Jigsaw, Google
备注：Proceedings of ACM in Human Computer Interaction in ACM Conference On Computer- Supported Cooperative Work And Social Computing CSCW 2022
链接：点击下载PDF文件

【48】 Boost decoding performance of finite geometry LDPC codes with deep learning tactics
标题：利用深度学习策略提高有限几何LDPC码的译码性能
作者：Guangwen Li,Xiao Yu
机构*： Shandong Technol-ogy and Business University, Yu is with the Department of Physical Sports
备注：8 pages,10 figures
链接：点击下载PDF文件

【49】 Shape Change and Control of Pressure-based Soft Agents
标题：压力型软化剂的形态变化与控制
作者：Federico Pigozzi
机构*：Evolutionary Robotics and Artificial Life lab, Department of Engineering and Architecture, University of Trieste
备注：Accepted at ALife'22 conference as full paper
链接：点击下载PDF文件

【50】 The Ludii Game Description Language is Universal
标题：Ludii游戏描述语言是通用的
作者：Dennis J. N. J. Soemers,ric Piette,Matthew Stephenson,Cameron Browne
机构*：Department of Data Science and Knowledge Engineering, Maastricht University, Paul-Henri Spaaklaan , EN, Maastricht, the Netherlands
链接：点击下载PDF文件

【51】 MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
标题：MRKL系统：结合了大型语言模型、外部知识源和离散推理的模块化神经符号体系结构
作者：Ehud Karpas,Omri Abend,Yonatan Belinkov,Barak Lenz,Opher Lieber,Nir Ratner,Yoav Shoham,Hofit Bata,Yoav Levine,Kevin Leyton-Brown,Dor Muhlgay,Noam Rozen,Erez Schwartz,Gal Shachaf,Shai Shalev-Shwartz,Amnon Shashua,Moshe Tenenholtz
机构*：AI, Labs
链接：点击下载PDF文件

【52】 ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach
标题：ETMS@IITKGP在SemEval-2022会议上任务10：使用生成性方法进行结构化情绪分析
作者：Raghav R,Adarsh Vemali,Rajdeep Mukherjee
机构*：Indian Institute of Technology Kharagpur, India
备注：9 pages, accepted at SemEval 2022 (collocated with NAACL 2022)
链接：点击下载PDF文件

【53】 Drone Flocking Optimization using NSGA-II and Principal Component Analysis
标题：基于NSGA-II和主成分分析的无人机群优化
作者：Jagdish Chand Bansal,Nikhil Sethi,Ogbonnaya Anicho,Atulya Nagar
机构*： South Asian University, India., Liverpool Hope University, United Kingdom.
链接：点击下载PDF文件

【54】 TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
标题：TinyLight：资源极其有限的设备上的自适应交通信号控制
作者：Dong Xing,Qian Zheng,Qianhui Liu,Gang Pan
机构*：College of Computer Science and Technology, Zhejiang University, Hangzhou, China, Department of Electrical and Computer Engineering, National University of Singapore, Singapore
备注：Accepted by IJCAI 2022 (Long Oral)
链接：点击下载PDF文件

【55】 Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
标题：不要责怪注释者：偏见已经在注解说明中开始了
作者：Mihir Parmar,Swaroop Mishra,Mor Geva,Chitta Baral
机构*：Arizona State University, Allen Institute for AI
备注：11 pages
链接：点击下载PDF文件

【56】 Learning user-defined sub-goals using memory editing in reinforcement learning
标题：在强化学习中使用记忆编辑学习用户定义子目标
作者：GyeongTaek Lee
机构*：Department of Industrial and Systems Engineering, Rutgers, University, The State University of New Jersey, Frelinghuysen, Road, Piscataway, NJ, USA.
链接：点击下载PDF文件

【57】 Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
标题：用于微表情识别的可学习图结构自适应AU约束的几何图表示
作者：Jinsheng Wei,Wei Peng,Guanming Lu,Yante Li,Jingjie Yan,Guoying Zhao
链接：点击下载PDF文件

【58】 Visual Spatial Reasoning
标题：视觉空间推理
作者：Fangyu Liu,Guy Emerson,Nigel Collier
机构*：University of Cambridge
备注：16 pages; code and data available at this https URL
链接：点击下载PDF文件

【59】 Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks
标题：协作任务隐私保护神经网络权值的组合学习
作者：Aline R. Ioste,Alan M. Durham,Marcelo Finger
机构*：Universidade de Sao Paulo - Brazil
链接：点击下载PDF文件

【60】 LayoutBERT: Masked Language Layout Model for Object Insertion
标题：LayoutBERT：面向对象插入的屏蔽语言布局模型
作者：Kerem Turgutlu,Sanat Sharma,Jayant Kumar
机构*：Adobe
备注：8 pages main paper, 6 pages supplemental material. Accepted to AI4CC Workshop @CVPR 2022
链接：点击下载PDF文件

【61】 Opponent Modeling in Negotiation Dialogues by Related Data Adptation
标题：基于关联数据适配的谈判对话对手建模
作者：Kushal Chawla,Gale M. Lucas,Jonathan May,Jonathan Gratch
机构*：University of Southern California, Los Angeles, USA
备注：Appearing at Findings of NAACL 2022
链接：点击下载PDF文件

【62】 Engineering flexible machine learning systems by traversing functionally invariant paths in weight space
标题：遍历权空间中函数不变路径的柔性机器学习系统
作者：Guruprasad Raghavan,Matt Thomson
机构*：Department of Bioengineering, Caltech, E California Blvd, Pasadena, CA , To whom correspondence should be addressed;
备注：17 pages
链接：点击下载PDF文件

【63】 Foundational Models for Continual Learning: An Empirical Study of Latent Replay
标题：持续学习的基本模型：潜在重演的实证研究
作者：Oleksiy Ostapenko,Timothee Lesort,Pau Rodríguez,Md Rifat Arefin,Arthur Douillard,Irina Rish,Laurent Charlin
机构*：Mila - Quebec AI Institute,Université de Montréal,ServiceNow, Heuritech ,HEC Montréal, Sorbonne University,Canada CIFAR AI Chair
链接：点击下载PDF文件

【64】 A Survey of Machine Narrative Reading Comprehension Assessments
标题：机器叙事性阅读理解测评研究综述
作者：Yisi Sang,Xiangyang Mou,Jing Li,Jeffrey Stanton,Mo Yu
机构*：Syracuse University, Rensselaer Polytechnic Institute, New Jersey Institute of Technology, WeChat AI, Tencent Inc.
备注：accepted for the IJCAI-ECAI2022 Survey Track
链接：点击下载PDF文件

【65】 Leveraging Emotion-specific Features to Improve Transformer Performance for Emotion Classification
标题：利用情感特征提高情感分类的转换器性能
作者：Shaily Desai,Atharva Kshirsagar,Aditi Sidnerlikar,Nikhil Khodake,Manisha Marathe
机构*：Department of Computer Engineering, PVG’s COET, Affiliated to Savitribai Phule Pune, University, India.
备注：4 pages, 2 figures, to be published at the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis(WASSA 2022) held at ACL 2022
链接：点击下载PDF文件

【66】 PGD: A Large-scale Professional Go Dataset for Data-driven Analytics
标题：PGD：面向数据驱动分析的大型专业围棋数据集
作者：Yifan Gao
机构*：School of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
备注：IEEE Conference on Games 2022. Dataset is available at this https URL
链接：点击下载PDF文件

【67】 A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
标题：一种双流AMR增强的文档级事件参数提取模型
作者：Runxin Xu,Peiyi Wang,Tianyu Liu,Shuang Zeng,Baobao Chang,Zhifang Sui
机构*：Key Laboratory of Computational Linguistics, Peking University, MOE, China, School of Software and Microelectronics, Peking University, China, Tencent Cloud Xiaowei
备注：Long paper in NAACL 2022 main conference
链接：点击下载PDF文件

【68】 An attention model for the formation of collectives in real-world domains
标题：现实世界领域中集体形成的注意力模型
作者：Adrià Fenoy,Filippo Bistaffa,Alessandro Farinelli
机构*：University of Verona, IIIA-CSIC
链接：点击下载PDF文件

【69】 Software Testing for Machine Learning
标题：面向机器学习的软件测试
作者：Dusica Marijan,Arnaud Gotlieb
机构*：Simula Research Laboratory, Norway
Journal-ref：Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13576-13582 (2020)
链接：点击下载PDF文件

【70】 Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods
标题：人工智能交互中的信任：确定模型、度量和方法
作者：Takane Ueno,Yuto Sawa,Yeongdae Kim,Jacqueline Urakami,Hiroki Oura,Katie Seaborn
机构*：Department of Mathematics and Science Education, Tokyo University of Science Japan
Journal-ref：CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts, April 2022, Article No.: 254
链接：点击下载PDF文件

【71】 An Initial Look at Self-Reprogramming Artificial Intelligence
标题：人工智能自我重编程初见
作者：Alex Sheng
链接：点击下载PDF文件

【72】 SciEv: Finding Scientific Evidence Papers for Scientific News
标题：科学新闻：为科学新闻寻找科学证据论文
作者：Md Reshad Ul Hoque,Jiang Li,Jian Wu
机构*：Electrical & Computer Engineering, Old Dominion University, Norfolk, VA, USA, Computer Science
备注：12 pages, 1 table, 4 figures
链接：点击下载PDF文件

【73】 Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection
标题：基于无监督对比学习的Transformer肺结节检测
作者：Chuang Niu,Ge Wang
机构*：Biomedical Imaging Center, Department of Biomedical Engineering, Rensselaer, Polytechnic Institute, Troy, New York, United States of America
链接：点击下载PDF文件

【74】 Who's the Expert? On Multi-source Belief Change
标题：谁是专家？论多源信念的转变
作者：Joseph Singleton,Richard Booth
机构*：Cardiff University
备注：Presented at KR 2022
链接：点击下载PDF文件

【75】 Joint Multisided Exposure Fairness for Recommendation
标题：联合多面曝光公正性推荐
作者：Haolun Wu,Bhaskar Mitra,Chen Ma,Fernando Diaz,Xue Liu
机构*：McGill University, Montréal, Canada, Microsoft, City University of Hong Kong, Hong Kong SAR, Canadian CIFAR AI Chair & Google
链接：点击下载PDF文件

【76】 What do we Really Know about State of the Art NER?
标题：我们对最先进的NER到底了解多少？
作者：Sowmya Vajjala,Ramya Balasubramaniam
备注：3 Important Tables and 1 Figure
链接：点击下载PDF文件

【77】 A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making
标题：以人为本的算法决策公正性和透明度
作者：Jakob Schoeffer
机构*：Karlsruhe Institute of Technology (KIT), Germany
备注：CHI Conference on Human Factors n Computing Systems Extended Abstracts (CHI '22 Extended Abstracts), April 29--May 5, 2022, New Orleans, LA, USA
链接：点击下载PDF文件

【78】 Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI
标题：大规模对话式人工智能中基于自我意识反馈的自主学习
作者：Pragaash Ponnusamy,Clint Solomon Mathialagan,Gustavo Aguilar,Chengyuan Ma,Chenlei Guo
机构*：Amazon Alexa
链接：点击下载PDF文件

【79】 A Theory of Natural Intelligence
标题：关于自然智商的理论
作者：Christoph von der Malsburg,Thilo Stadelmann,Benjamin F. Grewe
机构*：Frankfurt Institute for Advanced Studies, Frankfurt, Germany., Centre for Artificial Intelligence, Zurich University of Applied, Sciences, Winterthur, Switzerland., Institute of Neuroinformatics, University of Zurich and ETH, Zurich, Zurich, Switzerland.
链接：点击下载PDF文件

【80】 Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness
标题：Brainish：将智力和意识的多通道语言形式化
作者：Paul Pu Liang
机构*：Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA
链接：点击下载PDF文件

【81】 GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
标题：GMSS：基于图的多任务自监督脑电情感识别
作者：Yang Li,Ji Chen,Fu Li,Boxun Fu,Hao Wu,Youshuo Ji,Yijin Zhou,Yi Niu,Guangming Shi,Wenming Zheng
机构*： Xidian University, Wenming Zheng is with the Key Laboratory of Child Developmentand Learning Science (Ministry of Education)
链接：点击下载PDF文件

【82】 Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction
标题：用于比特币价格预测的交叉加密货币关系挖掘
作者：Panpan Li,Shengbo Gong,Shaocong Xu,Jiajun Zhou,Yu Shanqing,Qi Xuan
机构*： Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou , China, College of Information Engineering, Zhejiang University of Technology
备注：14 pages, 4 figures
链接：点击下载PDF文件

【83】 DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data
标题：DeepGraviLens：一种用于引力透镜数据分类的多模式架构
作者：Nicolò Oreste Pinciroli Vago,Piero Fraternali
机构*：The authors are with the Department of Electronics
链接：点击下载PDF文件

【84】 Skeptical binary inferences in multi-label problems with sets of probabilities
标题：概率集多标签问题中的怀疑式二元推理
作者：Yonatan Carlos Carranza Alarcón,Sébastien Destercke
机构*： Sorbonne universites, Universite de technologie de Compiegne CS 60 3 19 - 60 20 3 Compiegne cedex
链接：点击下载PDF文件

【85】 Experimental quantum pattern recognition in IBMQ and diamond NVs
标题：在IBMQ和钻石NV中的实验量子模式识别
作者：Sreetama Das,Jingfu Zhang,Stefano Martina,Dieter Suter,Filippo Caruso
机构*：Department of Physics and Astronomy, University of Florence, Via Sansone , Sesto Fiorentino, I-, Italy, European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara , Sesto Fiorentino, I-, Italy
备注：15 pages, 15 figures
链接：点击下载PDF文件

【86】 Domain Adaptation meets Individual Fairness. And they get along
标题：领域适应满足个人公平。他们相处得很好
作者：Debarghya Mukherjee,Felix Petersen,Mikhail Yurochkin,Yuekai Sun
机构*：Department of Statistics, University of Michigan, University of Konstanz, IBM Research, MIT-IBM Watson AI Lab
链接：点击下载PDF文件

【87】 Artificial Intelligence and Medicine: A literature review
标题：人工智能与医学：文献综述
作者：Chottiwatt Jittprasong
机构*：Biomedical Robotics Laboratory, Department of Biomedical Engineering, College of Engineering, City University of Hong Kong, Corresponding author: Biomedical Robotics Laboratory, Department of Biomedical Engineering, College of Engineering, City
备注：16 pages with 23 figures, pdfLaTeX
链接：点击下载PDF文件

【88】 Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net
标题：用理论制导U网识别三维地下水污染问题的物理过程和未知参数
作者：Tianhao He,Haibin Chang,Dongxiao Zhang
机构*：College of Engineering, Peking University, Beijing , P. R. China, School of Energy and Mining Engineering, China University of Mining and, Technology (Beijing), Beijing , P. R. China
备注：40 pages, 19 figures
链接：点击下载PDF文件

【89】 A Scalable 5,6-Qubit Grover's Quantum Search Algorithm
标题：一种可扩展的5，6-Qubit Grover量子搜索算法
作者：Dinesh Reddy Vemula,Debanjan Konar,Sudeep Satheesan,Sri Mounica Kalidasu,Attila Cangi
机构*：Department of Computer Science and Engineering, SRM University AP, Andhra Pradesh, India, Center for Advanced Systems Understanding (CASUS) and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany, Digital Lab & COE, Firstsource Solutions Ltd, India
链接：点击下载PDF文件

【90】 Infusing Linguistic Knowledge of SMILES into Chemical Language Models
标题：将微笑的语言知识注入化学语言模型
作者：Ingoo Lee,Hojung Nam
机构*：School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Cheomdangwagi-ro, Buk-ku, Gwangju, Republic of Korea, : corresponding author, E-mail addresses:
备注：8 pages, 4 figures
链接：点击下载PDF文件
机器翻译，仅供参考

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