人工智能每日论文速递[03.16]
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cs.AI 方向，今日共计79篇
【1】 iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report)
标题：iWarded：一个基准数据记录+/-推理系统(技术报告)
作者：Teodoro Baldazzi,Luigi Bellomarini,Emanuel Sallinger,Paolo Atzeni
备注：17 pages, 14 figures
链接：https://arxiv.org/abs/2103.08588
【2】 Is Medical Chest X-ray Data Anonymous?
标题：医学胸片数据是匿名的吗？
作者：Kai Packhäuser,Sebastian Gündel,Nicolas Münster,Christopher Syben,Vincent Christlein,Andreas Maier
备注：Submission to Nature
链接：https://arxiv.org/abs/2103.08562
【3】 A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
标题：自然语言解释评价的自动度量研究
作者：Miruna Clinciu,Arash Eshghi,Helen Hastie
备注：Accepted at EACL 2021
链接：https://arxiv.org/abs/2103.08545
【4】 Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset
标题：基于非平衡数据集中优化深度单类分类的胃肠道内窥镜图像多类异常检测
作者：Mohammad Reza Mohebbian,Seyed Shahim Vedaei,Khan A. Wahid,Paul Babyn
链接：https://arxiv.org/abs/2103.08508
【5】 Siamese Network Features for Endoscopy Image and Video Localization
标题：用于内窥镜图像和视频定位的暹罗网络特征
作者：Mohammad Reza Mohebbian,Seyed Shahim Vedaei,Khan A. Wahid,Paul Babyn
链接：https://arxiv.org/abs/2103.08504
【6】 BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification
标题：BrainNetGAN：使用用于痴呆分类的生成性对抗网络增强大脑连通性的数据
作者：Chao Li,Yiran Wei,Xi Chen
链接：https://arxiv.org/abs/2103.08494
【7】 Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
标题：深度动态神经网络在新闻推荐系统中准确性和多样性的权衡
作者：Shaina Raza andChen Ding
备注：under review
链接：https://arxiv.org/abs/2103.08458
【8】 RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
标题：RANP：3DCNN初始化时的资源感知神经元修剪
作者：Zhiwei Xu,Thalaiyasingam Ajanthan,Vibhav Vineet,Richard Hartley
备注：this is an extension of our 3DV2020 conference paper RANP. arXiv admin note: substantial text overlap with arXiv:2010.02488
链接：https://arxiv.org/abs/2103.08457
【9】 A Fast Heuristic for Gateway Location in Wireless Backhaul of 5G Ultra-Dense Networks
标题：5G超密集网络无线回程中网关定位的快速启发式算法
作者：Mital Raithatha,Aizaz U. Chaudhry,Roshdy H. M. Hafez,John W. Chinneck
备注：Accepted Journal paper in IEEE access
链接：https://arxiv.org/abs/2103.08408
【10】 Gradient Policy on "CartPole" game and its' expansibility to F1Tenth Autonomous Vehicles
作者：Mingwei Shi
链接：https://arxiv.org/abs/2103.08396
【11】 Flexible FOND Planning with Explicit Fairness Assumptions
标题：显式公平假设下的柔性基金规划
作者：Ivan D. Rodriguez,Blai Bonet,Sebastian Sardina,Hector Geffner
备注：Extended version of ICAPS-21 paper
链接：https://arxiv.org/abs/2103.08391
【12】 Probabilistic Grammatical Evolution
标题：概率语法进化
作者：Jessica Mégane,Nuno Lourenço,Penousal Machado
链接：https://arxiv.org/abs/2103.08389
【13】 Some Network Optimization Models under Diverse Uncertain Environments
标题：不同不确定环境下的几种网络优化模型
作者：Saibal Majumder
备注：Thesis document
链接：https://arxiv.org/abs/2103.08327
【14】 Neural Networks and Denotation
标题：神经网络及其外延
作者：Eric E. Allen
备注：10 pages, 4 figures
链接：https://arxiv.org/abs/2103.08315
【15】 Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
标题：偏微分方程是生成神经结构所需的全部--物理人工智能系统的理论
作者：Ping Guo,Kaizhu Huang,Zenglin Xu
备注：15 pages, 5 figures
链接：https://arxiv.org/abs/2103.08313
【16】 ReinforceBug: A Framework to Generate Adversarial Textual Examples
标题：ReinforceBug：一个生成对抗性文本示例的框架
作者：Bushra Sabir,M. Ali Babar,Raj Gaire
备注：Accepted in NAACL-HLT 2021
链接：https://arxiv.org/abs/2103.08306
【17】 Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
标题：基于好奇度对比正向动力学模型的样本有效强化学习表示学习
作者：Thanh Nguyen,Tung M. Luu,Thang Vu,Chang D. Yoo
链接：https://arxiv.org/abs/2103.08255
【18】 Boosting ship detection in SAR images with complementary pretraining techniques
标题：基于互补预训练技术的SAR图像舰船检测
作者：Wei Bao,Meiyu Huang,Yaqin Zhang,Yao Xu,Xuejiao Liu,Xueshuang Xiang
链接：https://arxiv.org/abs/2103.08251
【19】 Evolving parametrized Loss for Image Classification Learning on Small Datasets
标题：小数据集上图像分类学习的渐进式参数化损失
作者：Zhaoyang Hai,Xiabi Liu
链接：https://arxiv.org/abs/2103.08249
【20】 Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
标题：用OCR约束的GAN生成合成手写历史文档
作者：Lars Vögtlin,Manuel Drazyk,Vinaychandran Pondenkandath,Michele Alberti,Rolf Ingold
链接：https://arxiv.org/abs/2103.08236
【21】 Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
标题：鲁棒MAML：用于模型不可知元学习的具有自适应学习过程的优先级任务缓冲区
作者：Thanh Nguyen,Tung Luu,Trung Pham,Sanzhar Rakhimkul,Chang D. Yoo
链接：https://arxiv.org/abs/2103.08233
【22】 Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
标题：可解释深度强化学习的符号规则学习
作者：Zhihao Ma,Yuzheng Zhuang,Paul Weng,Hankui Zhuo,Dong Li,Wulong Liu,Jianye Hao
链接：https://arxiv.org/abs/2103.08228
【23】 Geometric Change Detection in Digital Twins using 3D Machine Learning
标题：基于3D机器学习的数字双胞胎几何变化检测
作者：Tiril Sundby,Julia Maria Graham,Adil Rasheed,Mandar Tabib,Omer San
链接：https://arxiv.org/abs/2103.08201
【24】 Mention-centered Graph Neural Network for Document-level Relation Extraction
标题：基于提及中心图神经网络的文档级关系抽取
作者：Jiaxin Pan,Min Peng,Yiyan Zhang
链接：https://arxiv.org/abs/2103.08200
【25】 Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
标题：用于无监督单词和音素发现的带韵律的双清晰度分析器
作者：Yasuaki Okuda,Ryo Ozaki,Tadahiro Taniguchi
备注：11 pages, Submitted to IEEE Transactions on Cognitive and Developmental Systems
链接：https://arxiv.org/abs/2103.08199
【26】 Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
标题：混合叠加集成与遗传算法相结合预测糖尿病
作者：Jafar Abdollahi,Babak Nouri-Moghaddam
备注：12 pages, 5 Figures
链接：https://arxiv.org/abs/2103.08186
【27】 Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots
标题：面向发展型机器人认知结构实现的全脑概率生成模型
作者：Tadahiro Taniguchi,Hiroshi Yamakawa,Takayuki Nagai,Kenji Doya,Masamichi Sakagami,Masahiro Suzuki,Tomoaki Nakamura,Akira Taniguchi
备注：55 pages, 8 figures, submitted to Neural Networks
链接：https://arxiv.org/abs/2103.08183
【28】 Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
标题：基于深度神经网络的医疗系统集成学习算法(慢性病诊断)
作者：Jafar Abdollahi,Babak Nouri-Moghaddam,Mehdi Ghazanfari
备注：16 pages, 12 Figures
链接：https://arxiv.org/abs/2103.08182
【29】 Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
标题：医学诊断的特征选择：在心脏病诊断中使用混合叠加遗传方法的评价
作者：Jafar Abdollahi,Babak Nouri-Moghaddam
备注：11 pages, 2 Figures
链接：https://arxiv.org/abs/2103.08175
【30】 S$^$: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
标题：S$^$：一种基于启发式信息的多目标路径搜索近似框架
作者：Kenny Chour,Sivakumar Rathinam,Ramamoorthi Ravi
备注：In Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS 2021)
链接：https://arxiv.org/abs/2103.08155
【31】 Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
标题：基于不完全领域知识的网格表示和体素到网格估计的布料处理规划
作者：Solvi Arnold,Daisuke Tanaka,Kimitoshi Yamazaki
备注：27 pages, 12 figures
链接：https://arxiv.org/abs/2103.08137
【32】 Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
标题：联合嵌入实例和本体概念的知识库通用表示学习
作者：Junheng Hao,Muhao Chen,Wenchao Yu,Yizhou Sun,Wei Wang
备注：KDD-19
链接：https://arxiv.org/abs/2103.08115
【33】 EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predict the Reassignment of Bug Report Fields
标题：EnHMM：使用集合HMM和堆栈跟踪预测Bug报告字段的重新分配
作者：Md Shariful Islam,Abdelwahab Hamou-Lhadj,Korosh K. Sabor,Mohammad Hamdaqa,Haipeng Cai
备注：Published in Proceedings of the 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), 11 pages, 7 figures
链接：https://arxiv.org/abs/2103.08083
【34】 Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AI
标题：跨越Tepper线：描述具体化人工智能动态社会性的新兴本体论
作者：Katie Seaborn,Peter Pennefather,Norihisa P. Miyake,Mihoko Otake-Matsuura
备注：Accepted at CHI EA '21
链接：https://arxiv.org/abs/2103.08079
【35】 Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
标题：零距离紧急通信的准等价发现
作者：Kalesha Bullard,Douwe Kiela,Joelle Pineau,Jakob Foerster
备注：14 pages
链接：https://arxiv.org/abs/2103.08067
【36】 RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
标题：RecSim NG：面向推荐生态系统的原则性不确定性建模
作者：Martin Mladenov,Chih-Wei Hsu,Vihan Jain,Eugene Ie,Christopher Colby,Nicolas Mayoraz,Hubert Pham,Dustin Tran,Ivan Vendrov,Craig Boutilier
链接：https://arxiv.org/abs/2103.08057
【37】 Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language
标题：基于众包短语的低资源神经机器翻译--以FON语言为例
作者：Bonaventure F. P. Dossou,Chris C. Emezue
备注：None
链接：https://arxiv.org/abs/2103.08052
【38】 Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation
标题：按完成时间加权的成功：一种动态感知的嵌入式导航评价标准
作者：Naoki Yokoyama,Sehoon Ha,Dhruv Batra
链接：https://arxiv.org/abs/2103.08022
【39】 Claim Verification using a Multi-GAN based Model
标题：基于多GAN模型的索赔验证
作者：Amartya Hatua,Arjun Mukherjee,Rakesh M. Verma
备注：Paper is submitted at LDK 2021 3rd Conference on Language, Data and Knowledge
链接：https://arxiv.org/abs/2103.08001
【40】 Pre-interpolation loss behaviour in neural networks
标题：神经网络中的预内插损失行为
作者：Arthur E. W. Venter,Marthinus W. Theunissen,Marelie H. Davel
备注：11 pages, 8 figures. Presented at the 2021 SACAIR online conference in February 2021
链接：https://arxiv.org/abs/2103.07986
【41】 CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
标题：CrossoverScheduler：以交叉方式重叠多个分布式训练应用
作者：Cheng Luo,Lei Qu,Youshan Miao,Peng Cheng,Yongqiang Xiong
链接：https://arxiv.org/abs/2103.07974
【42】 Monte Carlo Scene Search for 3D Scene Understanding
标题：基于蒙特卡罗场景搜索的三维场景理解
作者：Shreyas Hampali,Sinisa Stekovic,Sayan Deb Sarkar,Chetan Srinivasa Kumar,Friedrich Fraundorfer,Vincent Lepetit
备注：Accepted to CVPR 2021. We will upload the final paper version after March 29th
链接：https://arxiv.org/abs/2103.07969
【43】 Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding
标题：主动动态预测：将心理模拟建模为粒子滤波用于寻路过程中的感觉运动控制
作者：Jeremy Gordon,John Chuang
备注：8 pages, 8 figures
链接：https://arxiv.org/abs/2103.07966
【44】 A new interpretable unsupervised anomaly detection method based on residual explanation
标题：一种基于残差解释的可解释无监督异常检测新方法
作者：David F. N. Oliveira,Lucio F. Vismari,Alexandre M. Nascimento,Jorge R. de Almeida Jr,Paulo S. Cugnasca,Joao B. Camargo Jr,Leandro Almeida,Rafael Gripp,Marcelo Neves
备注：8 pages
链接：https://arxiv.org/abs/2103.07953
【45】 Software Architecture for ML-based Systems: What Exists and What Lies Ahead
标题：基于ML的系统的软件体系结构：存在的和未来的
作者：Henry Muccini,Karthik Vaidhyanathan
链接：https://arxiv.org/abs/2103.07950
【46】 Learning One Representation to Optimize All Rewards
标题：学习一种表示法来优化所有奖励
作者：Ahmed Touati,Yann Ollivier
链接：https://arxiv.org/abs/2103.07945
【47】 Learning needle insertion from sample task executions
标题：从样本任务执行中学习针头插入
作者：Amir Ghalamzan-E
备注：Submitted to IEEE/RSJ IROS 2021!
链接：https://arxiv.org/abs/2103.07938
【48】 Modelling Behavioural Diversity for Learning in Open-Ended Games
标题：为开放式游戏中的学习建立行为多样性模型
作者：Nicolas Perez Nieves,Yaodong Yang,Oliver Slumbers,David Henry Mguni,Jun Wang
备注：corresponds to <yaodong.yang@cs.ucl.ac.uk>
链接：https://arxiv.org/abs/2103.07927
【49】 Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
标题：基于深度强化学习的人机交互楼宇控制仿真研究
作者：Donghwan Lee,Niao He,Seungjae Lee,Panagiota Karava,Jianghai Hu
链接：https://arxiv.org/abs/2103.07919
【50】 Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions
标题：不同路况和天气条件下课程强化学习在自主驾驶中的价值探讨
作者：Anil Ozturk,Mustafa Burak Gunel,Resul Dagdanov,Mirac Ekim Vural,Ferhat Yurdakul,Melih Dal,Nazim Kemal Ure
备注：8 pages, 9 figures, IV2021 submission
链接：https://arxiv.org/abs/2103.07903
【51】 R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
标题：R-GSN：基于关系的异构图相似网络
作者：Xinliang Wu,Mengying Jiang,Guizhong Liu
链接：https://arxiv.org/abs/2103.07877
【52】 Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
标题：利用挡路式抽象语法树拆分改进代码摘要
作者：Chen Lin,Zhichao Ouyang,Junqing Zhuang,Jianqiang Chen,Hui Li,Rongxin Wu
备注：Accepted in 29th IEEE/ACM International Conference on Program Comprehension (ICPC 2021)
链接：https://arxiv.org/abs/2103.07845
【53】 Radar Camera Fusion via Representation Learning in Autonomous Driving
标题：自主驾驶中基于表征学习的雷达摄像机融合
作者：Xu Dong,Binnan Zhuang,Yunxiang Mao,Langechuan Liu
链接：https://arxiv.org/abs/2103.07825
【54】 Dynamically Switching Human Prediction Models for Efficient Planning
标题：动态切换人类预测模型以实现高效规划
作者：Arjun Sripathy,Andreea Bobu,Daniel S. Brown,Anca D. Dragan
备注：ICRA '21
链接：https://arxiv.org/abs/2103.07815
【55】 Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
标题：噪声环境下的监督学习：在ICD-10编码分类中的应用
作者：Youngwoo Kim,Cheng Li,Bingyang Ye,Amir Tahmasebi,Javed Aslam
链接：https://arxiv.org/abs/2103.07808
【56】 CACTUS: Detecting and Resolving Conflicts in Objective Functions
标题：仙人掌：检测和解决目标函数中的冲突
作者：Subhajit Das,Alex Endert
链接：https://arxiv.org/abs/2103.07805
【57】 Hybrid computer approach to train a machine learning system
标题：训练机器学习系统的混合计算机方法
作者：Mirko Holzer,Bernd Ulmann
备注：Book chapter
链接：https://arxiv.org/abs/2103.07802
【58】 A Methodology for Bi-Directional Knowledge-Based Assessment of Compliance to Continuous Application of Clinical Guidelines
标题：基于知识的临床指南持续应用依从性双向评估方法
作者：Avner Hatsek,Yuval Shahar
备注：25 pages; 13 figures
链接：https://arxiv.org/abs/2103.07789
【59】 Online Double Oracle
标题：在线双甲骨文
作者：Le Cong Dinh,Yaodong Yang,Zheng Tian,Nicolas Perez Nieves,Oliver Slumbers,David Henry Mguni,Jun Wang
链接：https://arxiv.org/abs/2103.07780
【60】 Recommending Short-lived Dynamic Packages for Golf Booking Services
标题：推荐高尔夫预订服务的短命动态套餐
作者：Robin Swezey,Young-joo Chung
备注：None
链接：https://arxiv.org/abs/2103.07779
【61】 Automated Fact-Checking for Assisting Human Fact-Checkers
标题：用于辅助人类事实核查人员的自动事实核查
作者：Preslav Nakov,David Corney,Maram Hasanain,Firoj Alam,Tamer Elsayed,Alberto Barrón-Cedeño,Paolo Papotti,Shaden Shaar,Giovanni Da San Martino
备注：fact-checking, fact-checkers, check-worthiness, detecting previously fact-checked claims, evidence retrieval
链接：https://arxiv.org/abs/2103.07769
【62】 Large-scale Recommendation for Portfolio Optimization
标题：用于投资组合优化的大规模推荐
作者：Robin Swezey,Bruno Charron
备注：None
链接：https://arxiv.org/abs/2103.07768
【63】 OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
标题：OkwuGbé：FON和IGBO的端到端语音识别
作者：Bonaventure F. P. Dossou,Chris C. Emezue
备注：None
链接：https://arxiv.org/abs/2103.07762
【64】 Image Segmentation Methods for Non-destructive testing Applications
标题：一种用于无损检测的图像分割方法
作者：EL-Hachemi Guerrout,Ramdane Mahiou,Randa Boukabene,Assia Ouali
备注：10 pages, 3 figures, the article is just accepted in the conference JERI 2020 but the conference stopped because of Covid so the article non published
链接：https://arxiv.org/abs/2103.07754
【65】 Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
标题：多变量时间序列预测的谱时间图神经网络
作者：Defu Cao,Yujing Wang,Juanyong Duan,Ce Zhang,Xia Zhu,Conguri Huang,Yunhai Tong,Bixiong Xu,Jing Bai,Jie Tong,Qi Zhang
备注：Accepted by NeurIPS 2020. 20 pages, 7 figures
链接：https://arxiv.org/abs/2103.07719
【66】 Efficient Sparse Artificial Neural Networks
标题：高效稀疏人工神经网络
作者：Seyed Majid Naji,Azra Abtahi,Farokh Marvasti
备注：Submitted in IEEE Transactions on Neural Networks and Learning Systems
链接：https://arxiv.org/abs/2103.07674
【67】 Attack as Defense: Characterizing Adversarial Examples using Robustness
标题：攻击即防御：用稳健性刻画对抗性例子
作者：Zhe Zhao,Guangke Chen,Jingyi Wang,Yiwei Yang,Fu Song,Jun Sun
链接：https://arxiv.org/abs/2103.07633
【68】 SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features
标题：SMOTE-ENC：一种基于SMOTE生成标称特征和连续特征合成数据的新方法
作者：Mimi Mukherjee,Matloob Khushi
备注：None
链接：https://arxiv.org/abs/2103.07612
【69】 Approximating How Single Head Attention Learns
标题：近似说明单头注意力是如何学习的
作者：Charlie Snell,Ruiqi Zhong,Dan Klein,Jacob Steinhardt
链接：https://arxiv.org/abs/2103.07601
【70】 DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback
标题：DeepGroup：隐式反馈群体推荐的表征学习
作者：Sarina Sajadi Ghaemmaghami,Amirali Salehi-Abari
链接：https://arxiv.org/abs/2103.07597
【71】 A Review on Semi-Supervised Relation Extraction
标题：半监督关系抽取研究综述
作者：Yusen Lin
链接：https://arxiv.org/abs/2103.07575
【72】 Meta-Modeling of Assembly Contingencies and Planning for Repair
标题：装配事故元建模与维修计划
作者：Priyam Parashar,Aayush Naik,Jiaming Hu,Henrik I. Christensen
链接：https://arxiv.org/abs/2103.07544
【73】 TensorGP -- Genetic Programming Engine in TensorFlow
标题：TensorGP--TensorFlow中的遗传编程引擎
作者：Francisco Baeta,João Correia,Tiago Martins,Penousal Machado
备注：To be published in the 24th International Conference on the Applications of Evolutionary Computation proceedings. 16 pages, 5 figures
链接：https://arxiv.org/abs/2103.07512
【74】 FES: A Fast Efficient Scalable QoS Prediction Framework
标题：FES：一种快速、高效、可扩展的QoS预测框架
作者：Soumi Chattopadhyay,Chandranath Adak,Ranjana Roy Chowdhury
备注：13 pages, 15 figures
链接：https://arxiv.org/abs/2103.07494
【75】 Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation
标题：递归神经网络的连续学习：综述与实证评价
作者：Andrea Cossu,Antonio Carta,Vincenzo Lomonaco,Davide Bacciu
备注：In submission
链接：https://arxiv.org/abs/2103.07492
【76】 Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
标题：用于提取疫苗不良事件提及的私人跨库联合学习
作者：Pallika Kanani,Virendra J. Marathe,Daniel Peterson,Rave Harpaz,Steve Bright
链接：https://arxiv.org/abs/2103.07491
【77】 Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
标题：约束塑性储备作为神经网络频率和权值控制的一种自然方法
作者：Oleg Nikitin,Olga Lukyanova,Alex Kunin
备注：24 pages, 12 figures
链接：https://arxiv.org/abs/2103.08143
【78】 Use of static surrogates in hyperparameter optimization
标题：静电代理在超参数优化中的应用
作者：Dounia Lakhmiri,Sébastien Le Digabel
备注：this http URL
链接：https://arxiv.org/abs/2103.07963
【79】 Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
标题：基于图卷积网络的大规模车载网络时空建模
作者：Juntong Liu,Yong Xiao,Yingyu Li,Guangming Shiyz,Walid Saad,H. Vincent Poor
备注：6 pages, 5 figures, conference paper
链接：https://arxiv.org/abs/2103.07636
机器翻译，仅供参考；“机构”仅供参考
