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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127篇
【1】 Last-Mile Embodied Visual Navigation
标题：最后一英里虚拟视觉导航
链接：https://arxiv.org/abs/2211.11746
作者：Justin Wasserman,Karmesh Yadav,Girish Chowdhary,Abhinav Gupta,Unnat Jain
机构：University of Illinois at Urbana-Champaign, Meta AI Research,Carnegie Mellon University
备注：Accepted at CoRL 2022. Code and results available at this https URL
【2】 Visual Dexterity: In-hand Dexterous Manipulation from Depth
标题：视觉灵巧：手中灵巧的深度操作
链接：https://arxiv.org/abs/2211.11744
作者：Tao Chen,Megha Tippur,Siyang Wu,Vikash Kumar,Edward Adelson,Pulkit Agrawal
机构：Improbable AI Laboratory, Cambridge, MA , USA, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
【3】 Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
标题：基于视觉语言模型的指令增强机器人技能获取
链接：https://arxiv.org/abs/2211.11736
作者：Ted Xiao,Harris Chan,Pierre Sermanet,Ayzaan Wahid,Anthony Brohan,Karol Hausman,Sergey Levine,Jonathan Tompson
机构：Robotics at Google, ∗equal contribution
【4】 Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
标题：Perceiver-VL：具有迭代潜在注意的高效视觉和语言建模
链接：https://arxiv.org/abs/2211.11701
作者：Zineng Tang,Jaemin Cho,Jie Lei,Mohit Bansal
机构：UNC Chapel Hill
备注：WACV 2023 (first two authors contributed equally)
【5】 Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report)
标题：用两极论证和马尔可夫网络解释随机森林(技术报告)
链接：https://arxiv.org/abs/2211.11699
作者：Nico Potyka,Xiang Yin,Francesca Toni
机构：Imperial College London
备注：Accepted for presentation at AAAI 2023. Contains appendix with proofs and additional details about experiments
【6】 Disentangled Representation Learning
标题：解缠表征学习
链接：https://arxiv.org/abs/2211.11695
作者：Xin Wang,Hong Chen,Si'ao Tang,Zihao Wu,Wenwu Zhu
机构： Zihao Wu and Wenwu Zhu are withthe Department of Computer Science and Technology
备注：22 pages,9 figures
【7】 Mean Shift Mask Transformer for Unseen Object Instance Segmentation
标题：用于不可见对象实例分割的Mean Shift掩模变换
链接：https://arxiv.org/abs/2211.11679
作者：Yangxiao Lu,Yuqiao Chen,Nicholas Ruozzi,Yu Xiang
机构：University of Texas at Dallas,Meta
备注：10 figures
【8】 Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion
标题：通过自举辐射场反演单幅图像的形状、姿势和外观
链接：https://arxiv.org/abs/2211.11674
作者：Dario Pavllo,David Joseph Tan,Marie-Julie Rakotosaona,Federico Tombari
机构：Google, ETH Zurich, TU Munich, Reconstruction, model, Image, collection, Shape (SDF), Pose, Appearance
【9】 Differentiable Meta logical Programming
标题：可微元逻辑规划
链接：https://arxiv.org/abs/2211.11650
作者：Zihan Ye,Hikaru Shindo,Devendra Singh Dhami,Kristian Kersting
机构：AI and Machine Learning Group, Dept. of Computer Science, TU Darmstadt, Germany, Centre for Cognitive Science, TU Darmstadt, Germany, Hessian Center for AI (hessian.AI), Darmstadt, Germany, German Center for Artificial Intelligence (DFKI)
【10】 Implicit Training of Energy Model for Structure Prediction
标题：结构预测能量模型的隐式训练
链接：https://arxiv.org/abs/2211.11649
作者：Shiv Shankar,Vihari Piratla
备注：AAAI
【11】 Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
标题：利用卫星影像进行灾害风险评估的住宅类型分类
链接：https://arxiv.org/abs/2211.11636
作者：Md Nasir,Tina Sederholm,Anshu Sharma,Sundeep Reddy Mallu,Sumedh Ranjan Ghatage,Rahul Dodhia,Juan Lavista Ferres
机构：Microsoft AI for Good Lab, SEEDS, Gramener
备注：Accepted for presentation in AI+HADR workshop, Neurips 2022
【12】 Learning Heterogeneous Agent Cooperation via Multiagent League Training
标题：基于多智能体联盟训练的异质智能体协作学习
链接：https://arxiv.org/abs/2211.11616
作者：Qingxu Fu,Xiaolin Ai,Jianqiang Yi,Tenghai Qiu,Wanmai Yuan,Zhiqiang Pu
机构：∗ Institute of Automation, Chinese Academy of Sciences, Beijing, ∗∗ School of Artificial Intelligence, University of Chinese Academy of, Sciences, Beijing, China., ∗∗∗ Electronics Technology Group Corporation, Information Science, Academy of China Beijing, China
【13】 Guided Depth Super-Resolution by Deep Anisotropic Diffusion
标题：基于深度各向异性扩散的制导深度超分辨率
链接：https://arxiv.org/abs/2211.11592
作者：Nando Metzger,Rodrigo Caye Daudt,Konrad Schindler
机构：Photogrammetry and Remote Sensing, ETH Zurich
【14】 Dynamic Conditional Imitation Learning for Autonomous Driving
标题：用于自动驾驶的动态条件模仿学习
链接：https://arxiv.org/abs/2211.11579
作者：Hesham M. Eraqi,Mohamed N. Moustafa,Jens Honer
机构： The American University in Cairo
备注：None
【15】 IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning
标题：IEEE大数据杯2022：基于深度学习的加密图像隐私保护匹配
链接：https://arxiv.org/abs/2211.11565
作者：Vrizlynn L. L. Thing
机构：Singapore
备注：None
【16】 Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators
标题：用于对噪声DNN加速器进行准确推断的清晰度感知训练
链接：https://arxiv.org/abs/2211.11561
作者：Gonçalo Mordido,Sarath Chandar,François Leduc-Primeau
机构：Polytechnique Montreal, Mila - Quebec AI Institute, Canada CIFAR AI Chair, Franc¸ois Leduc-Primeau
备注：Preprint
【17】 Visual Programming: Compositional visual reasoning without training
标题：视觉编程：未经训练的构图视觉推理
链接：https://arxiv.org/abs/2211.11559
作者：Tanmay Gupta,Aniruddha Kembhavi
机构： Allen Institute for AIhttps
【18】 How Fraudster Detection Contributes to Robust Recommendation
标题：欺诈者检测如何为强大的推荐做出贡献
链接：https://arxiv.org/abs/2211.11534
作者：Yuni Lai,Kai Zhou
机构：Dept. of Computing, The Hong Kong Polytechnic University, HKSAR
备注：Submitted to AAAI'2023
【19】 Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction
标题：支持机器学习的YouTube排名机制和浏览量预测模型
链接：https://arxiv.org/abs/2211.11528
作者：Vandit Gupta,Akshit Diwan,Chaitanya Chadha,Ashish Khanna,Deepak Gupta
机构：Maharaja Agrasen Institute of Technology, Plot No , Rohini, Plot No , CH Bhim Singh Nambardar Marg, Sector, PSP Area, Delhi, India, SRM University, Haryana, Rajiv Gandhi Education City, Sonipat, India, Author Emails:
备注：The Paper has been ACCEPTED at the "2nd International Conference on Computing and Communication Networks(ICCCN-2022)". This paper will be published by AIP publishing and DOI will be issued later on
【20】 TIER-A: Denoising Learning Framework for Information Extraction
标题：A级：用于信息提取的去噪学习框架
链接：https://arxiv.org/abs/2211.11527
作者：Yongkang Li,Ming Zhang
机构： Peking University
【21】 Un discours et un public "Gilets Jaunes" au coeur du Grand Débat National? Combinaison des approches IA et textométriques pour l'analyse de discours des plateformes "Grand Débat National" et "Vrai débat"
链接：https://arxiv.org/abs/2211.11521
作者：Suignard Philippe
备注：in French language. JADT 2020, Jun 2020, Toulouse, France
【22】 Bursting the Burden Bubble? An Assessment of Sharma et al.'s Counterfactual-based Fairness Metric
标题：打破负担泡沫？对夏尔马等人基于反事实的公平度量的评价
链接：https://arxiv.org/abs/2211.11512
作者：Yochem van Rosmalen,Florian van der Steen,Sebastiaan Jans,Daan van der Weijden
机构：der Weijden, Utrecht University, Heidelberglaan , CS Utrecht, The Netherlands
备注：11 pages, 3 figures, conference: BNAIC/BeNeLearn (this https URL)
【23】 Self-Adaptive, Dynamic, Integrated Statistical and Information Theory Learning
标题：自适应、动态、综合的统计与信息理论学习
链接：https://arxiv.org/abs/2211.11491
作者：Zsolt János Viharos,Ágnes Szűcs
机构：HungarybJohn von Neumann University
备注：62 pages, 30 figures, original article
【24】 Deanthropomorphising NLP: Can a Language Model Be Conscious?
标题：去人格化NLP：语言模型能有意识吗？
链接：https://arxiv.org/abs/2211.11483
作者：Matthew Shardlow,Piotr Przybyła
机构：Manchester Metropolitan University, United Kingdom., Universitat Pompeu Fabra, Barcelona, Spain., Polish Academy of Sciences, Poland., †These authors contributed equally to this work.
【25】 Applications of statistical causal inference in software engineering
标题：统计因果推理在软件工程中的应用
链接：https://arxiv.org/abs/2211.11482
作者：Julien Siebert
机构：Fraunhofer Institute for Experimental Software Engineering, (IESE). Fraunhofer Platz , Kaiserslautern, Germany
备注：34 pages, 11 tables, 7 figures
【26】 Background-Mixed Augmentation for Weakly Supervised Change Detection
标题：弱监督变化检测的混合背景增强算法
链接：https://arxiv.org/abs/2211.11478
作者：Rui Huang,Ruofei Wang,Qing Guo,Jieda Wei,Yuxiang Zhang,Wei Fan,Yang Liu
机构：School of Computer Science and Technology, Civil Aviation University of China, School of Computer Science and Engineering, Nanyang Technological University
备注：conference
【27】 SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training
标题：Smaug：用于高效视频语言预训练的稀疏掩码自动编码器
链接：https://arxiv.org/abs/2211.11446
作者：Yuanze Lin,Chen Wei,Huiyu Wang,Alan Yuille,Cihang Xie
机构： University of Washington, Johns Hopkins University, UC Santa Cruz
【28】 Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
标题：通过特定概念的解释揭示分割和目标检测中的隐藏上下文偏差
链接：https://arxiv.org/abs/2211.11426
作者：Maximilian Dreyer,Reduan Achtibat,Thomas Wiegand,Wojciech Samek,Sebastian Lapuschkin
机构： Fraunhofer Heinrich-Hertz-Institute, Berlin, Germany, Technische Universit¨at Berlin, Berlin, Germany, BIFOLD – Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
【29】 RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
标题：RAILD：在知识图中利用关系特征进行归纳链接预测
链接：https://arxiv.org/abs/2211.11407
作者：Genet Asefa Gesese,Harald Sack,Mehwish Alam
机构：FIZ Karlsruhe – Leibniz Institute for, Information Infrastructure, Germany, Karlsruhe Institute of Technology, Institute AIFB
【30】 Self adaptive global-local feature enhancement for radiology report generation
标题：用于放射学报告生成的自适应全局-局部特征增强
链接：https://arxiv.org/abs/2211.11380
作者：Yuhao Wang,Kai Wang,Xiaohong Liu,Tianrun Gao,Jingyue Zhang,Guangyu Wang
机构：State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing , China, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing , China.
【31】 Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)
标题：基于树冠传感的道路损伤检测挑战赛(CRDDC-2022)
链接：https://arxiv.org/abs/2211.11362
作者：Deeksha Arya,Hiroya Maeda,Sanjay Kumar Ghosh,Durga Toshniwal,Hiroshi Omata,Takehiro Kashiyama,Yoshihide Sekimoto
机构：¶ Centre for Spatial Information Science, The University of Tokyo,-,-, Komaba, Tokyo, Japan, ‡ UrbanX Technologies, Inc., Tokyo, Japan, § Department of Civil Engineering, Indian Institute of Technology Roorkee, India
备注：9 pages 2 figures 5 tables. arXiv admin note: text overlap with arXiv:2011.08740
【32】 Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
标题：扩展的多语言抗议新闻检测--共享任务1，案例2021和2022
链接：https://arxiv.org/abs/2211.11360
作者：Ali Hürriyetoğlu,Osman Mutlu,Fırat Duruşan,Onur Uca,Alaeddin Selçuk Gürel,Benjamin Radford,Yaoyao Dai,Hansi Hettiarachchi,Niklas Stoehr,Tadashi Nomoto,Milena Slavcheva,Francielle Vargas,Aaqib Javid,Fatih Beyhan,Erdem Yörük
机构：Koc University, Fırat Duru¸san, Mersin University, Huawei, UNC Charlotte, Birmingham City University, ETH Zurich, National Institute of Japanese Literature, Bulgarian Academy of Sciences, University of São Paulo, Sabanci University
备注：To appear in CASE 2022 @ EMNLP 2022
【33】 Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Report
标题：从文本中自动提取社会政治事件的挑战和应用(案例2022)：研讨会和共享任务报告
链接：https://arxiv.org/abs/2211.11359
作者：Ali Hürriyetoğlu,Hristo Tanev,Vanni Zavarella,Reyyan Yeniterzi,Osman Mutlu,Erdem Yörük
机构：European Commission, University of Cagliari, Sabanci University, Koc University
备注：to appear at CASE 2022 @ EMNLP 2022
【34】 Data-Driven Offline Decision-Making via Invariant Representation Learning
标题：基于不变表示学习的数据驱动离线决策
链接：https://arxiv.org/abs/2211.11349
作者：Han Qi,Yi Su,Aviral Kumar,Sergey Levine
机构：Department of Electrical Engineering and Computer Sciences, UC Berkeley, (∗Equal Contribution)
备注：This is an extended version of the NeurIPS 2022 conference paper titled: "Data-Driven Offline Model-Based Optimization via Invariant Representation Learning"
【35】 OPTION: OPTImization Algorithm Benchmarking ONtology
标题：选项：优化算法基准本体
链接：https://arxiv.org/abs/2211.11332
作者：Ana Kostovska,Diederick Vermetten,Carola Doerr,Saso Džeroski,Panče Panov,Tome Eftimov
【36】 VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
标题：向量融合：通过抽象基于像素的扩散模型实现文本到SVG
链接：https://arxiv.org/abs/2211.11319
作者：Ajay Jain,Amber Xie,Pieter Abbeel
机构：UC Berkeley
备注：Project webpage: this https URL
【37】 Intelligent Computing: The Latest Advances, Challenges and Future
标题：智能计算：最新进展、挑战和未来
链接：https://arxiv.org/abs/2211.11281
作者：Shiqiang Zhu,Ting Yu,Tao Xu,Hongyang Chen,Schahram Dustdar,Sylvain Gigan,Deniz Gunduz,Ekram Hossain,Yaochu Jin,Feng Lin,Bo Liu,Zhiguo Wan,Ji Zhang,Zhifeng Zhao,Wentao Zhu,Zuoning Chen,Tariq Durrani,Huaimin Wang,Jiangxing Wu,Tongyi Zhang,Yunhe Pan
机构：Zhejiang Lab, Hangzhou, China, TU Wien, Austria, Sorbonne University, Paris, France, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
【38】 Discovering Evolution Strategies via Meta-Black-Box Optimization
标题：基于元黑箱优化的进化策略发现
链接：https://arxiv.org/abs/2211.11260
作者：Robert Tjarko Lange,Tom Schaul,Yutian Chen,Tom Zahavy,Valenti Dallibard,Chris Lu,Satinder Singh,Sebastian Flennerhag
机构：Technical University Berlin, DeepMind, Valentin Dallibard, University of Oxford
备注：22 pages, 21 figures
【39】 Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
标题：分布外检测中感知器偏差的扩散去噪方法
链接：https://arxiv.org/abs/2211.11255
作者：Luping Liu,Yi Ren,Xize Cheng,Zhou Zhao
机构：Zhejiang University
【40】 Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets
标题：标签掩码自动编码器(L-MAE)：一种扩充语义切分数据集的纯转换器方法
链接：https://arxiv.org/abs/2211.11242
作者：Jiaru Jia,Mingzhe Liu,Jiake Xie,Xin Chen,Aiqing Yang,Xin Jiang,Hong Zhang,Yong Tang
机构：Chengdu University of Technology, Picup.ai
【41】 Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
标题：借鉴昨天：一种监督受限的Text-to-SQL任务流的半监督持续学习方法
链接：https://arxiv.org/abs/2211.11226
作者：Yongrui Chen,Xinnan Guo,Tongtong Wu,Guilin Qi,Yang Li,Yang Dong
机构：School of Computer Science and Engineering, Southeast University, Department of Data Science & AI, Monash University, Alibaba Group, Ant Group
备注：Accepted by AAAI-2023
【42】 Contrastive Masked Autoencoders for Self-Supervised Video Hashing
标题：用于自监督视频散列的对比掩码自动编码器
链接：https://arxiv.org/abs/2211.11210
作者：Yuting Wang,Jinpeng Wang,Bin Chen,Ziyun Zeng,Shutao Xia
机构： Tsinghua Shenzhen International Graduate School, Tsinghua University, Harbin Institute of Technology, Shenzhen, Research Center of Artificial Intelligence, Peng Cheng Laboratory
备注：This work is accepted by the AAAI 2023. 9 pages, 6 figures, 6 tables
【43】 Cultural Re-contextualization of Fairness Research in Language Technologies in India
标题：印度语言技术中公平性研究的文化再语境
链接：https://arxiv.org/abs/2211.11206
作者：Shaily Bhatt,Sunipa Dev,Partha Talukdar,Shachi Dave,Vinodkumar Prabhakaran
机构：Google Research
备注：Accepted to NeurIPS Workshop on "Cultures in AI/AI in Culture". This is a non-archival short version, to cite please refer to our complete paper: arXiv:2209.12226
【44】 Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models
标题：基于图神经网络和结构化状态空间模型的多变量信号时空建模
链接：https://arxiv.org/abs/2211.11176
作者：Siyi Tang,Jared A. Dunnmon,Liangqiong Qu,Khaled K. Saab,Christopher Lee-Messer,Daniel L. Rubin
机构：Stanford University
【45】 CoPEM: Cooperative Perception Error Models for Autonomous Driving
标题：CoPEM：自主驾驶的协同感知误差模型
链接：https://arxiv.org/abs/2211.11175
作者：Andrea Piazzoni,Jim Cherian,Roshan Vijai,Lap-Pui Chau,Justin Dauwels
机构：©, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
备注：Accepted at 2021 IEEE International Conference on Intelligent Transportation Systems - ITSC2022 6 pages, 6 figures
【46】 BBReach: Tight and Scalable Black-Box Reachability Analysis of Deep Reinforcement Learning Systems
标题：BBReach：深度强化学习系统的紧致可伸缩黑盒可达性分析
链接：https://arxiv.org/abs/2211.11127
作者：Jiaxu Tian,Dapeng Zhi,Si Liu,Peixin Wang,Guy Katz,Min Zhang
机构： Shanghai Key Laboratory of Trustworthy Computing, ECNU, Shanghai, China, ETH Zurich, University of Oxford, The Hebrew University of Jerusalem
【47】 Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation
标题：用于改善视觉和语言导航中视觉表征的结构编码辅助任务
链接：https://arxiv.org/abs/2211.11116
作者：Chia-Wen Kuo,Chih-Yao Ma,Judy Hoffman,Zsolt Kira
机构：Georgia Tech
【48】 Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
标题：关于健康数据饮食的深度学习：寻找公平的重要例子
链接：https://arxiv.org/abs/2211.11109
作者：Abdelrahman Zayed,Prasanna Parthasarathi,Goncalo Mordido,Hamid Palangi,Samira Shabanian,Sarath Chandar
机构：Mila - Quebec AI Institute,Polytechnique Montreal,McGill University,Microsoft Research,Canada CIFAR AI Chair
备注：In Proceedings of AAAI 2023
【49】 Efficient shallow learning as an alternative to deep learning
标题：有效的浅层学习作为深度学习的替代方案
链接：https://arxiv.org/abs/2211.11106
作者：Yuval Meir,Ofek Tevet,Yarden Tzach,Shiri Hodassman,Ronit D. Gross,Ido Kanter
机构：Department of Physics, Bar-Ilan University, Ramat-Gan, Israel., Gonda Interdisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan
备注：26 pages, 4 figures
【50】 Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
标题：让线下RL流动：在归一化流动的潜在空间中训练保守代理
链接：https://arxiv.org/abs/2211.11096
作者：Dmitriy Akimov,Vladislav Kurenkov,Alexander Nikulin,Denis Tarasov,Sergey Kolesnikov
机构：Tinkoff
备注：Accepted at 3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2022
【51】 VER: Learning Natural Language Representations for Verbalizing Entities and Relations
标题：VER：学习自然语言表示法来表达实体和关系
链接：https://arxiv.org/abs/2211.11093
作者：Jie Huang,Kevin Chen-Chuan Chang
机构：Department of Computer Science, University of Illinois at Urbana-Champaign, USA
【52】 Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
标题：Q-针对离线RL的集合：不缩放集合，而是缩放批大小
链接：https://arxiv.org/abs/2211.11092
作者：Alexander Nikulin,Vladislav Kurenkov,Denis Tarasov,Dmitry Akimov,Sergey Kolesnikov
机构：Tinkoff
备注：Accepted at 3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2022
【53】 Conceptor-Aided Debiasing of Contextualized Embeddings
标题：概念辅助的语境化嵌入去偏倚
链接：https://arxiv.org/abs/2211.11087
作者：Yifei Li,Lyle Ungar,João Sedoc
机构：University of Pennsylvania, New York University
备注：23 pages
【54】 An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
标题：非平衡半监督学习的一个简单得令人尴尬的基线
链接：https://arxiv.org/abs/2211.11086
作者：Hao Chen,Yue Fan,Yidong Wang,Jindong Wang,Bernt Schiele,Xing Xie,Marios Savvides,Bhiksha Raj
机构：Carnegie Mellon University,Max-Planck-Institut f¨ur Informatik,Peking University,Microsoft Research Asia
备注：Imbalanced Semi-Supervised Learning
【55】 Safe Control Under Input Limits with Neural Control Barrier Functions
标题：基于神经控制屏障函数的输入受限安全控制
链接：https://arxiv.org/abs/2211.11056
作者：Simin Liu,Changliu Liu,John Dolan
机构：Robotics Institute, Carnegie Mellon University
备注：CORL 2022
【56】 Convexifying Transformers: Improving optimization and understanding of transformer networks
标题：凸化Transformer：提高对Transformer网络的优化和理解
链接：https://arxiv.org/abs/2211.11052
作者：Tolga Ergen,Behnam Neyshabur,Harsh Mehta
机构：Stanford Universtiy, Google Research
【57】 Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues
标题：解释(讽刺)话语以增强多模式对话中的情感理解
链接：https://arxiv.org/abs/2211.11049
作者：Shivani Kumar,Ishani Mondal,Md Shad Akhtar,Tanmoy Chakraborty
机构：Indraprastha Institute of Information Technology Delhi, India, University of Maryland, College Park, Indian Institute of Technology Delhi, India
备注：Accepted at AAAI 2023. 11 Pages; 14 Tables; 3 Figures
【58】 Pragmatic Constraint on Distributional Semantics
标题：分布语义的语用约束
链接：https://arxiv.org/abs/2211.11041
作者：Elizaveta Zhemchuzhina,Nikolai Filippov,Ivan P. Yamshchikov
机构：LEYA Laboratory, Yandex and Higher School of Economics, St. Petersburg, Russia, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany, CEMAPRE, University of Lisbon, Portugal
【59】 On the Complexity of Bayesian Generalization
标题：关于贝叶斯泛化的复杂性
链接：https://arxiv.org/abs/2211.11033
作者：Yu-Zhe Shi,Manjie Xu,John E. Hopcroft,Kun He,Joshua B. Tenenbaum,Song-Chun Zhu,Ying Nian Wu,Wenjuan Han,Yixin Zhu
机构：Institute for AI, Peking University, Beijing Institute for General Artificial Intelligence (BIGAI), Department of Statistics, UCLA, Department of Brain and Cognitive Sciences, MIT, Department of Computer Science, Huazhong University of Science and Technology
【60】 Adversarial Cheap Talk
标题：对抗性的低级谈资
链接：https://arxiv.org/abs/2211.11030
作者：Chris Lu,Timon Willi,Alistair Letcher,Jakob Foerster
机构：FLAIR, University of Oxford, http://aletcher.github.io
【61】 Understanding and Improving Knowledge Distillation for Quantization-Aware Training of Large Transformer Encoders
标题：理解和提高大型Transformer编码器量化意识训练的知识提炼
链接：https://arxiv.org/abs/2211.11014
作者：Minsoo Kim,Sihwa Lee,Sukjin Hong,Du-Seong Chang,Jungwook Choi
机构：Department of Electronic Engineering, Hanyang University, Department of Artificial Intelligence, Hanyang University, KT, Seoul, Republic of Korea
备注：EMNLP 2022 Main Track Long Paper
【62】 Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
标题：重温基于颜色事件的跟踪：统一的网络、数据集和指标
链接：https://arxiv.org/abs/2211.11010
作者：Chuanming Tang,Xiao Wang,Ju Huang,Bo Jiang,Lin Zhu,Jianlin Zhang,Yaowei Wang,Yonghong Tian
机构：University of Chinese Academy of Sciences, Beijing, China, Institute of Optics and Electronics, CAS, Chengdu, China, School of Computer Science and Technology, Anhui University, Hefei, China, Beijing Institute of Technology, Beijing, China
【63】 Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
标题：最小化累积轨迹误差以提高数据集精确度
链接：https://arxiv.org/abs/2211.11004
作者：Jiawei Du,Yidi Jiang,Vincent T. F. Tan,Joey Tianyi Zhou,Haizhou Li
机构：Centre for Frontier AI Research (CFAR), ASTAR, Singapore, Department of Electrical and Computer Engineering, National University of Singapore, Department of Mathematics, National University of Singapore, The Chinese University of Hong Kong (Shenzhen), China
【64】 Distinctive Fire and Smoke Detection with Self-Similar
标题：基于自相似特征的火灾和烟雾检测
链接：https://arxiv.org/abs/2211.10995
作者：Zeyu Shangguan
机构：BOE Technology Group Co., Ltd.
【65】 A Comparative Analysis of Transfer Learning-based Techniques for the Classification of Melanocytic Nevi
标题：基于迁移学习的黑色素细胞痣分类方法的比较分析
链接：https://arxiv.org/abs/2211.10972
作者：Sanya Sinha,Nilay Gupta
机构： Birla Institute of Technology Mesra, Patna Campus, Patna, India, Sikkim Manipal Institute of Technology, Majitar, India
备注：12 pages, 5 figures, submitted to International Conference on Advances and Applications of Artificial Intelligence and Machine Learning (ICAAAIML) 2022, to be published in Springer's Lecture Notes in Electrical Engineering
【66】 A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective
标题：一种基于Barlow孪生物镜的轻量级区域自适应绝对位姿归正器
链接：https://arxiv.org/abs/2211.10963
作者：Praveen Kumar Rajendran,Quoc-Vinh Lai-Dang,Luiz Felipe Vecchietti,Dongsoo Har
机构：KAIST, Daejeon, South Korea, IBS, Daejeon, South Korea
备注：[draft-v1] 18 pages, 8 figures, and 10 tables
【67】 Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies
标题：交互式抓取策略强化学习中对象几何的有效表示
链接：https://arxiv.org/abs/2211.10957
作者：Malte Mosbach,Sven Behnke
机构：All authors are with the Autonomous Intelligent Systems group ofUniversity of Bonn
【68】 Normalizing Flows for Human Pose Anomaly Detection
标题：用于人体姿势异常检测的归一化流程
链接：https://arxiv.org/abs/2211.10946
作者：Or Hirschorn,Shai Avidan
机构：Tel-Aviv University, Israel
【69】 Feature Weaken: Vicinal Data Augmentation for Classification
标题：特征弱化：用于分类的邻域数据增强
链接：https://arxiv.org/abs/2211.10944
作者：Songhao Jiang,Yan Chu,Tianxing Ma,Tianning Zang
机构：Institute of Infomation Engineering, Chinese Academy of Sciences, Harbin Engineering University, School of Cyber Security, University of Chinese Academy of Sciences
备注：9 pages,6 figures
【70】 Scalable Collaborative Learning via Representation Sharing
标题：基于表征共享的可扩展协作学习
链接：https://arxiv.org/abs/2211.10943
作者：Frédéric Berdoz,Abhishek Singh,Martin Jaggi,Ramesh Raskar
机构：MIT, EPFL
【71】 Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning
标题：基于深度强化学习的车间作业计划搜索
链接：https://arxiv.org/abs/2211.10936
作者：Cong Zhang,Wen Song,Zhiguang Cao,Jie Zhang,Puay Siew Tan,Chi Xu
机构：Nanyang Technological University, Institute of Marine Science and Technology, Shandong University, China, Institute for Infocomm Research (I,R), Agency for Science Technology and Research (ASTAR)
【72】 Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation
标题：基于粒子滤波信息增益的有效空间概念形成主动探索
链接：https://arxiv.org/abs/2211.10934
作者：Akira Taniguchi,Yoshiki Tabuchi,Tomochika Ishikawa,Lotfi El Hafi,Yoshinobu Hagiwara,Tadahiro Taniguchi
机构：College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan;, Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan;
【73】 Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
标题：走向概化图对比学习：信息论视角
链接：https://arxiv.org/abs/2211.10929
作者：Yige Yuan,Bingbing Xu,Huawei Shen,Qi Cao,Keting Cen,Wen Zheng,Xueqi Cheng
机构： Institute of Com- puting Technology
备注：25 pages, 7 figures, 6 tables
【74】 Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
标题：基于历史对比学习的时态知识图推理
链接：https://arxiv.org/abs/2211.10904
作者：Yi Xu,Junjie Ou,Hui Xu,Luoyi Fu
机构：Department of Computer Science and Engineering, Shanghai Jiao Tong University
备注：Accepted by AAAI 2023
【75】 Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines
标题：基于奖励机的DeepRL噪声符号抽象研究
链接：https://arxiv.org/abs/2211.10902
作者：Andrew C. Li,Zizhao Chen,Pashootan Vaezipoor,Toryn Q. Klassen,Rodrigo Toro Icarte,Sheila A. McIlraith
机构：University of Toronto, Vector Institute, Pontificia Universidad Católica de Chile, Centro Nacional de Inteligencia Artificial
备注：NeurIPS Deep Reinforcement Learning Workshop 2022
【76】 Spectral Adversarial Training for Robust Graph Neural Network
标题：稳健图神经网络的谱对抗训练
链接：https://arxiv.org/abs/2211.10896
作者：Jintang Li,Jiaying Peng,Liang Chen,Zibin Zheng,Tingting Liang,Qing Ling
备注：Accepted by TKDE. Code availiable at this https URL
【77】 DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
标题：DYNAFED：利用全球动态解决客户数据异构性
链接：https://arxiv.org/abs/2211.10878
作者：Renjie Pi,Weizhong Zhang,Yueqi Xie,Jiahui Gao,Xiaoyu Wang,Sunghun Kim,Qifeng Chen
机构：The Hong Kong University of Science and Technology, The University of Hong Kong
【78】 Artificial Interrogation for Attributing Language Models
标题：对语言模型进行归因的人工询问
链接：https://arxiv.org/abs/2211.10877
作者：Farhan Dhanani,Muhammad Rafi
机构：OCRID: ,-,-,-, Dept. of Computer Science, Ph.D. Student, Associate Professor
【79】 Interpretable Scientific Discovery with Symbolic Regression: A Review
标题：用符号回归解释科学发现：述评
链接：https://arxiv.org/abs/2211.10873
作者：Nour Makke,Sanjay Chawla
机构：Qatar Computing Research Institute, HBKU, Doha
【80】 SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
标题：安全灯：一种无碰撞交通信号控制的强化学习方法
链接：https://arxiv.org/abs/2211.10871
作者：Wenlu Du,Junyi Ye,Jingyi Gu,Jing Li,Hua Wei,Guiling Wang
机构：New Jersey Institute of Technology, Newark, USA
备注：Accepted by AAAI 2023, appendix included. 9 pages + 5 pages appendix, 12 figures, in Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23), Feb 2023
【81】 Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods
标题：使用基于分区的回归方法中的统计模型估计网络部署的任务完成时间
链接：https://arxiv.org/abs/2211.10866
作者：Venkatachalam Natchiappan,Shrihari Vasudevan,Thalanayar Muthukumar
机构：Ericsson, ∗India and †USA
【82】 Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
标题：基于偏好的快速自适应高效元强化学习
链接：https://arxiv.org/abs/2211.10861
作者：Zhizhou Ren,Anji Liu,Yitao Liang,Jian Peng,Jianzhu Ma
机构：Helixon Ltd. ,University of Illinois at Urbana-Champaign, University of California, Los Angeles, Institute for Artificial Intelligence, Peking University, Beijing Institute for General Artificial Intelligence
备注：Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
【83】 A Blockchain Protocol for Human-in-the-Loop AI
标题：一种面向人在环人工智能的区块链协议
链接：https://arxiv.org/abs/2211.10859
作者：Nassim Dehouche,Richard Blythman
机构：Mahidol University International College, Salaya, Thailand , Algovera, Dublin, Ireland
备注：Trustworthy and Socially Responsible Machine Learning (TSRML) co-located with NeurIPS 2022
【84】 An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases
标题：用于改善皮肤病鉴别诊断的可解释非平衡半监督深度学习框架
链接：https://arxiv.org/abs/2211.10858
作者：Futian Weng,Yan Xu,Yuanting Ma,Jinghan Sun,Shijun Shan,Qiyuan Li,Jianping Zhu,Yang Wang
机构：School of Medicine, Xiamen University, Xiamen, China, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Data Mining Research Center, Xiamen University, Xiamen, China
【85】 Reward is not Necessary: How to Create a Compositional Self-Preserving Agent for Life-Long Learning
标题：奖励不是必须的：如何创造一种用于终身学习的成分自我保护剂
链接：https://arxiv.org/abs/2211.10851
作者：Thomas J. Ringstrom
机构：Department of Computer Science, University of Minnesota, Twin Cities, Minneapolis, MN
备注：54 pages
【86】 Instability in clinical risk stratification models using deep learning
标题：使用深度学习的临床风险分层模型的不稳定性
链接：https://arxiv.org/abs/2211.10828
作者：Daniel Lopez-Martinez,Alex Yakubovich,Martin Seneviratne,Adam D. Lelkes,Akshit Tyagi,Jonas Kemp,Ethan Steinberg,N. Lance Downing,Ron C. Li,Keith E. Morse,Nigam H. Shah,Ming-Jun Chen
机构：Google Research, Mountain View, CA, USA, Department of Medicine, Stanford University, Stanford, CA, USA
备注：Accepted for publication in Machine Learning for Health (ML4H) 2022
【87】 Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
标题：用于优化传输调度的结构增强型深度强化学习
链接：https://arxiv.org/abs/2211.10827
作者：Jiazheng Chen,Wanchun Liu,Daniel E. Quevedo,Yonghui Li,Branka Vucetic
机构：School of Electrical and Information Engineering, The University of Sydney, Australia, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Australia.
备注：This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
【88】 DeepGAR: Deep Graph Learning for Analogical Reasoning
标题：DeepGAR：类比推理的深度图学习
链接：https://arxiv.org/abs/2211.10821
作者：Chen Ling,Tanmoy Chowdhury,Junji Jiang,Junxiang Wang,Xuchao Zhang,Haifeng Chen,Liang Zhao
机构：∗ Emory University, † George Mason University, ‡ Tianjin University, § NEC Labs America, ¶ Equal Contribution, ∥ Corresponding Author
备注：22nd IEEE International Conference on Data Mining (ICDM 2022)
【89】 Block size estimation for data partitioning in HPC applications using machine learning techniques
标题：使用机器学习技术在高性能计算应用中进行数据分区的块大小估计
链接：https://arxiv.org/abs/2211.10819
作者：Riccardo Cantini,Fabrizio Marozzo,Alessio Orsino,Domenico Talia,Paolo Trunfio,Rosa M. Badia,Jorge Ejarque,Fernando Vazquez
机构： University of Calabria
【90】 Face Swapping as A Simple Arithmetic Operation
标题：作为一种简单的算术运算的人脸交换
链接：https://arxiv.org/abs/2211.10812
作者：Truong Vu,Kien Do,Khang Nguyen,Khoat Than
机构： Hanoi University of Science and Technology, Vietnam, Applied Artificial Intelligence Institute (A,I,), Deakin University, Australia
【91】 Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models
标题：基于非负概念激活向量和决策树的CNN模型概念解释
链接：https://arxiv.org/abs/2211.10807
作者：Gayda Mutahar,Tim Miller
机构：School of Computing and Information, Systems, The University of Melbourne, Melbourne, Victoria, Australia, Correspondence, Computing and Information Systems, The University of Melbourne, Melbourne, on concepts extracted from a concept-based explainer can
【92】 Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
标题：剥洋葱：分层减少数据冗余以实现高效的视觉变形训练
链接：https://arxiv.org/abs/2211.10801
作者：Zhenglun Kong,Haoyu Ma,Geng Yuan,Mengshu Sun,Yanyue Xie,Peiyan Dong,Xin Meng,Xuan Shen,Hao Tang,Minghai Qin,Tianlong Chen,Xiaolong Ma,Xiaohui Xie,Zhangyang Wang,Yanzhi Wang
机构： Northeastern University, University of California, Irvine, Peking university, ETH Zurich, Western Digital Research, Unversity of Texas at Austin, Clemson University
备注：AAAI 2023
【93】 ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
标题：ArtELingo：维基百科的一百万情感注释，强调语言和文化的多样性
链接：https://arxiv.org/abs/2211.10780
作者：Youssef Mohamed,Mohamed Abdelfattah,Shyma Alhuwaider,Feifan Li,Xiangliang Zhang,Kenneth Ward Church,Mohamed Elhoseiny
机构：KAUST, University of Notre Dame, Northeastern University, a), ﻮﻤﻨﻟ ﺮﻋﺎﺸﻣ .ﻞﯿﻤﺟ ﻲﻌﯿﺒ ﻼﺷ, . ﻮﺟﻮﻣ ﺔﻗﺎﻄﻟ ﺔﯾﻮﯿﺤﻟ , Translation: Beautiful natural, waterfall. Feelings of growth, vitality and energy., that's, rushing, downward looks like a bride's, wedding veil., 瀑布就像四蹄生风的白马如潮水
备注：9 pages, Accepted at EMNLP 22, for more details see this https URL
【94】 Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia
标题：研究人工智能供电接口支持痴呆症患者不同类型记忆的潜力
链接：https://arxiv.org/abs/2211.10756
作者：Hanuma Teja Maddali,Emma Dixon,Alisha Pradhan,Amanda Lazar
机构：University of Maryland, College Park, MD, USA
备注：None
【95】 Relational Symmetry based Knowledge Graph Contrastive Learning
标题：基于关系对称性的知识图对比学习
链接：https://arxiv.org/abs/2211.10738
作者：Ke Liang,Yue Liu,Sihang Zhou,Xinwang Liu,Wenxuan Tu
备注：Under Review
【96】 PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning
标题：PIC4rl-GYM：一种支持深度强化学习的机器人自主导航ROS2模块化框架
链接：https://arxiv.org/abs/2211.10714
作者：Mauro Martini,Andrea Eirale,Simone Cerrato,Marcello Chiaberge
机构：Department of Electronics, and Telecommunications (DET), Politecnico di Torino, Torino, Italy
【97】 ReInform: Selecting paths with reinforcement learning for contextualized link prediction
标题：ReForm：使用强化学习选择路径以进行上下文链接预测
链接：https://arxiv.org/abs/2211.10688
作者：Marina Speranskaya,Sameh Methias,Benjamin Roth
机构：Center for Information and, Language Processing, LMU, Munich, Germany, Technical University of Munich, Research Group Data Mining and Machine Learning, University of Vienna, Vienna, Austria
【98】 Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
标题：尖峰形成器：一种训练高性能低延迟尖峰神经网络的新体系结构
链接：https://arxiv.org/abs/2211.10686
作者：Yudong Li,Yunlin Lei,Xu Yang
机构：School of Computer Science and Technology, Beijing Institute of Technology, Beijing , China
【99】 Personalized Federated Learning with Hidden Information on Personalized Prior
标题：基于个性化先验隐含信息的个性化联合学习
链接：https://arxiv.org/abs/2211.10684
作者：Mingjia Shi,Yuhao Zhou,Qing Ye,Jiancheng Lv
机构： Sichuan University
备注：19 pages, 6 figures, 3 tables
【100】 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
标题：分解软提示引导的成分Zero-Shot学习融合增强算法
链接：https://arxiv.org/abs/2211.10681
作者：Xiaocheng Lu,Ziming Liu,Song Guo,Jingcai Guo
机构：School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Department of Computing, The Hong Kong Polytechnic University
备注：10 pages included reference, conference
【101】 Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning
标题：基于最大熵深度逆强化学习的城市安全感知评价
链接：https://arxiv.org/abs/2211.10660
作者：Yaxuan Wang,Zhixin Zeng,Qijun Zhao
机构：Sichuan University, Chengdu, China, Editors: Emtiyaz Khan and Mehmet G¨onen
备注：ACML2022 Camera-ready Version
【102】 Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
标题：利用预先训练的二维扩散模型求解三维反问题
链接：https://arxiv.org/abs/2211.10655
作者：Hyungjin Chung,Dohoon Ryu,Michael T. McCann,Marc L. Klasky,Jong Chul Ye
机构：Korea Advanced Institute of Science & Technology,Los Alamos National Laboratory
备注：14 pages, 10 figures
【103】 I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks
标题：我看到，我构思，我总结：进步的概念是瓶颈
链接：https://arxiv.org/abs/2211.10630
作者：Manxi Lin,Aasa Feragen,Zahra Bashir,Martin Grønnebæk Tolsgaard,Anders Nymark Christensen
机构：Technical University of Denmark, CAMES
【104】 Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
标题：标签输入图神经网络与深度平衡模型的统一
链接：https://arxiv.org/abs/2211.10629
作者：Yi Luo,Guiduo Duan,Guangchun Luo,Aiguo Chen
机构： University of Electronic Science and Technology of China
备注：11 pages, 5 figures
【105】 Graph Augmentation Clustering Network
标题：图增强聚类网络
链接：https://arxiv.org/abs/2211.10627
作者：Zhihao Peng,Hui Liu,Yuheng Jia,Junhui Hou
【106】 Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection
标题：基于可解释人工智能和因果推理的ATM诈骗检测
链接：https://arxiv.org/abs/2211.10595
作者：Yelleti Vivek,Vadlamani Ravi,Abhay Anand Mane,Laveti Ramesh Naidu
机构：Centre for Artificial Intelligence and Machine Learning, Institute for Development and Research in Banking Technology, Castle Hills Road #, Masab Tank, Hyderabad-, India, Center for Development of Advanced Computing
备注：34 pages; 21 Figures; 8 Tables
【107】 Autoregressive GNN-ODE GRU Model for Network Dynamics
标题：网络动力学的自回归GNN-ODE GRU模型
链接：https://arxiv.org/abs/2211.10594
作者：Bo Liang,Lin Wang,Xiaofan Wang
机构：Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai , P. R. China, Shanghai Key Laboratory of Power Station Automation Technology
【108】 Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry
标题：分子结构-性质共同训练的硅化学基础模型
链接：https://arxiv.org/abs/2211.10590
作者：Jinho Chang,Jong Chul Ye
机构：Graduate School of AI, KAIST, Daejeon, South Korea
【109】 Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
标题：使用恒定内存将数据集精馏扩展到ImageNet-1K
链接：https://arxiv.org/abs/2211.10586
作者：Justin Cui,Ruochen Wang,Si Si,Cho-Jui Hsieh
机构：Department of Computer Science, UCLA, Google Research
备注：ICLR 2023 submission link: this https URL
【110】 Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
标题：用于数据驱动的坐标、控制方程和基本常量发现的贝叶斯自动编码器
链接：https://arxiv.org/abs/2211.10575
作者：L. Mars Gao,J. Nathan Kutz
机构： Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, Department of Applied Mathematics and Electrical and Computer Engineering, University of Washington, Seattle, WA
备注：28 pages, 11 figures
【111】 Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
标题：学习外价值函数去偏元梯度强化学习
链接：https://arxiv.org/abs/2211.10550
作者：Clément Bonnet,Laurence Midgley,Alexandre Laterre
机构：InstaDeep
备注：Published at the 6th Workshop on Meta-Learning at NeurIPS 2022, New Orleans
【112】 Local Contrastive Feature learning for Tabular Data
标题：表格数据的局部对比特征学习
链接：https://arxiv.org/abs/2211.10549
作者：Zhabiz Gharibshah,Xingquan Zhu
机构：Dept. of EECS, Florida Atlantic University, Boca Raton, FL , USA
【113】 Provable Defense against Backdoor Policies in Reinforcement Learning
标题：强化学习中对后门策略的可证明防御
链接：https://arxiv.org/abs/2211.10530
作者：Shubham Kumar Bharti,Xuezhou Zhang,Adish Singla,Xiaojin Zhu
机构：UW-Madison, Madison, WI, USA, Princeton University, Princeton, NJ, USA, MPI-SWS, Saarbrücken, Germany
备注：Accepted at Neurips 2022
【114】 Social Diversity Reduces the Complexity and Cost of Fostering Fairness
标题：社会多样性降低了促进公平的复杂性和成本
链接：https://arxiv.org/abs/2211.10517
作者：Theodor Cimpeanu,Alessandro Di Stefano,Cedric Perret,The Anh Han
机构： School Computing, Engineering and Digital Technologies, Teesside University, College of Life and Environmental Sciences, Exeter University, arXiv:,.,v, [cs.MA] , Nov
【115】 Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders
标题：Hub-VAE：基于无监督Hub的变分自动编码器正则化
链接：https://arxiv.org/abs/2211.10469
作者：Priya Mani,Carlotta Domeniconi
机构：†George Mason University
【116】 Knowledge Graph Refinement based on Triplet BERT-Networks
标题：基于三重BERT网络的知识图求精
链接：https://arxiv.org/abs/2211.10460
作者：Armita Khajeh Nassiri,Nathalie Pernelle,Fatiha Sais,Gianluca Quercini
机构：Pernelle,[,−,−,−,X], Fatiha Sa¨ıs,[,−,−,−,], and Gianluca, Quercini,[,−,−,−,], LISN, CNRS (UMR ,), Paris Saclay University, France, LIPN, CNRS (UMR ,), University Sorbonne Paris Nord, France
备注：Accepted and presented at the DeepOntoNLP Workshop of the ESWC 2022 conference
【117】 Discovering Locally Maximal Bipartite Subgraphs
标题：发现局部极大二分子图
链接：https://arxiv.org/abs/2211.10446
作者：Dominik Dürrschnabel,Tom Hanika,Gerd Stumme
机构： Knowledge & Data Engineering Group, University of Kassel, Kassel, Germany, Interdisciplinary Research Center for Information System Design, Kassel, Germany
备注：12 pages, 3 figures, 3 tables
【118】 Building a Subspace of Policies for Scalable Continual Learning
标题：为可扩展的持续学习构建策略子空间
链接：https://arxiv.org/abs/2211.10445
作者：Jean-Baptiste Gaya,Thang Doan,Lucas Caccia,Laure Soulier,Ludovic Denoyer,Roberta Raileanu
机构：Meta AI Research, CNRS-ISIR, Sorbonne University, Paris, France, McGill University, Mila, (Now at Bosch Research)
【119】 Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work
标题：社交媒体挖掘用于处方药毒性警示：端到端管道、挑战和未来工作
链接：https://arxiv.org/abs/2211.10443
作者：Abeed Sarker
【120】 Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract)
标题：基于自适应约束划分的大规模整数线性规划优化框架(学生摘要)
链接：https://arxiv.org/abs/2211.11564
作者：Huigen Ye,Hongyan Wang,Hua Xu,Chengming Wang,Yu Jiang
机构： State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing , China, School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
备注：To be published in AAAI2023 Student Abstract
【121】 Leveraging Orbital Information and Atomic Feature in Deep Learning Model
标题：深度学习模型中轨道信息和原子特征的利用
链接：https://arxiv.org/abs/2211.11543
作者：Xiangrui Yang
【122】 DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
标题：DSLOB：一种用于标杆分布平移预测算法的综合限价手册数据集
链接：https://arxiv.org/abs/2211.11513
作者：Defu Cao,Yousef El-Laham,Loc Trinh,Svitlana Vyetrenko,Yan Liu
机构：University of Southern California, J.P.Morgan AI Research
备注：11 pages, 5 figures, already accepted by NeurIPS 2022 Distribution Shifts Workshop
【123】 Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
标题：基于集成课程学习和协作训练的运动意象解码
链接：https://arxiv.org/abs/2211.11460
作者：Georgios Zoumpourlis,Ioannis Patras
机构：Georgios Zoumpourlis and Ioannis Patras are with the School ofElectronic Engineering and Computer Science, Queen Mary Universityof London
备注：This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Code: this https URL
【124】 VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
标题：VATLM：用于语音表征学习的统一掩蔽预测的视听文本预训练
链接：https://arxiv.org/abs/2211.11275
作者：Qiushi Zhu,Long Zhou,Ziqiang Zhang,Shujie Liu,Binxing Jiao,Jie Zhang,Lirong Dai,Daxin Jiang,Jinyu Li,Furu Wei
机构： Fundamental Research Fundsfor the Central Universities and the Leading Plan of CAS (XDC080 10 200), University of Science and Technology of China (USTC)
备注：10 pages
【125】 Revealing Robust Oil and Gas Company Macro-Strategies using Deep Multi-Agent Reinforcement Learning
标题：基于深度多智能体强化学习的油气公司稳健宏观策略研究
链接：https://arxiv.org/abs/2211.11043
作者：Dylan Radovic,Lucas Kruitwagen,Christian Schroeder de Witt,Ben Caldecott,Shane Tomlinson,Mark Workman
机构： the risks inherent toan energy transition could lead to the collapse of IOC businessaUniversity of Oxford - Smith School of Enterprise and the Environment; bUniversity of Oxford - Institute for New Economic Thinking; cUniversity of Oxford - FLAIR
【126】 Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models
标题：多尺度数字孪生：在气候模式不确定的情况下开发快速和物理信息的地下水污染替代模式
链接：https://arxiv.org/abs/2211.10884
作者：Lijing Wang,Takuya Kurihana,Aurelien Meray,Ilijana Mastilovic,Satyarth Praveen,Zexuan Xu,Milad Memarzadeh,Alexander Lavin,Haruko Wainwright
机构：Dept. of the Geological Sciences, Stanford University, Stanford, CA , Dept. of Computer Science, University of Chicago, Chicago, IL , Florida International University, Miami, FL , School of Freshwater Sciences, University of Wisconsin - Milwaukee, Milwaukee, WI
备注：5 pages, 2 figures, 1 table, Machine Learning and the Physical Sciences workshop, NeurIPS 2022
【127】 Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables
标题：用于地球物理海洋变量快速可扩展内插的神经场
链接：https://arxiv.org/abs/2211.10444
作者：J. Emmanuel Johnson,Redouane Lguensat,Ronan Fablet,Emmanuel Cosme,Julien Le Sommer
机构：Univ. Grenoble Alpes, CNRS UMR IGE, Grenoble, France, Institut Pierre Simon Laplace, IRD, Sorbonne Université, Paris, France, IMT Atlantique, CNRS UMR Lab-STICC, Brest, France
备注：Machine Learning and the Physical Sciences workshop, NeurIPS 2022
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发表于 2022-12-9 20:26:01