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cs.AI 方向,今日共计33篇
[cs.AI]:
【1】 Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
标题:基于人工智能的船队竞争中模块性与自治性的协同性分析
作者: Xingyu Li, Bogdan I. Epureanu
备注:4 pages, 4 figures, 2019 NDIA Ground Vehicle Systems Engineering and Technology Symposium
链接:https://arxiv.org/abs/1907.01405
【2】 Knowledge Graph Embedding for Ecotoxicological Effect Prediction
标题:生态毒理效应预测的知识图嵌入
作者: Erik B. Myklebust (1 and 2), University of Oxford)
备注:Preprint of in-use track paper at the International Semantic Web Conference (ISWC) 2019, Auckland, NZ
链接:https://arxiv.org/abs/1907.01328
【3】 Neural Network Verification for the Masses (of AI graduates)
标题:面向群体(人工智能毕业生)的神经网络验证
作者: Ekaterina Komendantskaya, Pascal Bacchus
链接:https://arxiv.org/abs/1907.01297
【4】 Elementary Iterated Revision and the Levi Identity
标题:初等迭代修正与Levi恒等式
作者: Jake Chandler, Richard Booth
备注:Extended version of a paper accepted to LORI 2019 (22 pages)
链接:https://arxiv.org/abs/1907.01224
【5】 Visual analytics for team-based invasion sports with significant events and Markov reward process
标题:具有重大事件和马尔可夫报酬过程的团队入侵运动的可视化分析
作者: Kun Zhao, Tetsuro Morimura
链接:https://arxiv.org/abs/1907.01221
【6】 Representation, Exploration and Recommendation of Music Playlists
标题:音乐播放列表的表现、探索与推荐
作者: Piyush Papreja, Sethuraman Panchanathan
链接:https://arxiv.org/abs/1907.01098
【7】 A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds
标题:一种具有自适应局部阈值的半监督自组织映射
作者: Pedro H. M. Braga, Hansenclever F. Bassani
备注:Accepted for publication at the IEEE International Joint Conference on Neural Networks (IJCNN), 2019
链接:https://arxiv.org/abs/1907.01086
【8】 A Semi-Supervised Self-Organizing Map for Clustering and Classification
标题:一种用于聚类和分类的半监督自组织映射
作者: Pedro H. M. Braga, Hansenclever F. Bassani
链接:https://arxiv.org/abs/1907.01070
【9】 Investigating The Piece-Wise Linearity And Benchmark Related To Koczy-Hirota Fuzzy Linear Interpolation
标题:Koczy-Hirota模糊线性插值的分段线性和基准研究
作者: Maen Alzubi, Szilvester Kovács
链接:https://arxiv.org/abs/1907.01047
【10】 Natural Language Understanding with the Quora Question Pairs Dataset
标题:Quora问题对数据集的自然语言理解
作者: Lakshay Sharma, Utku Evci
链接:https://arxiv.org/abs/1907.01041
【11】 Obj-GloVe: Scene-Based Contextual Object Embedding
标题:OBJ手套:基于场景的上下文对象嵌入
作者: Canwen Xu, Chenliang Li
链接:https://arxiv.org/abs/1907.01478
【12】 Generalizing from a few environments in safety-critical reinforcement learning
标题:安全关键强化学习中几种环境的归纳
作者: Zachary Kenton, Yarin Gal
链接:https://arxiv.org/abs/1907.01475
【13】 Where are the Masks: Instance Segmentation with Image-level Supervision
标题:掩模在哪里:图像级监控的实例分割
作者: Issam H. Laradji, Mark Schmidt
备注:Accepted at BMVC2019
链接:https://arxiv.org/abs/1907.01430
【14】 Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
标题:利用集成学习改进成人边缘年龄估计
作者: Felix Anda, Mark Scanlon
链接:https://arxiv.org/abs/1907.01427
【15】 Voting-Based Multi-Agent Reinforcement Learning
标题:基于投票的多Agent强化学习
作者: Yue Xu, Shuguang Cui
链接:https://arxiv.org/abs/1907.01385
【16】 Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
标题:多尺度遗传算法在高分辨率医学图像存储中的应用
作者: Hristina Uzunova, Jan Ehrhardt
链接:https://arxiv.org/abs/1907.01376
【17】 Analyzing Verbal and Nonverbal Features for Predicting Group Performance
标题:团体绩效预测的言语和非言语特征分析
作者: Uliyana Kubasova, McKenzie Braley
备注:Accepted to INTERSPEECH 2019 (Graz, Austria)
链接:https://arxiv.org/abs/1907.01369
【18】 Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
标题:人工智能在前列腺活检病理分级中的应用
作者: Peter Ström (1), Sweden)
链接:https://arxiv.org/abs/1907.01368
【19】 Modified Actor-Critics
标题:修正演员-批评家
作者: Erinc Merdivan, Matthieu Geist
链接:https://arxiv.org/abs/1907.01298
【20】 Learning the Arrow of Time
标题:学习时间之箭
作者: Nasim Rahaman, Yoshua Bengio
备注:A shorter version of this work was presented at the Theoretical Phyiscs for Deep Learning Workshop, ICML 2019
链接:https://arxiv.org/abs/1907.01285
【21】 Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images
标题:基于半套袋的深神经结构在高熵图像文本提取中的应用
作者: Pranay Dugar, Saswata Sahoo
链接:https://arxiv.org/abs/1907.01284
【22】 Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations
标题:条件U网:在多源分离的U网中引入一种控制机制
作者: Gabriel Meseguer-Brocal, Geoffroy Peeters
链接:https://arxiv.org/abs/1907.01277
【23】 Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
标题:保守性Q-改进:一个可解释决策树策略的强化学习
作者: Aaron M. Roth, Manuela Veloso
链接:https://arxiv.org/abs/1907.01180
【24】 Can a Robot Hear the Shape and Dimensions of a Room?
标题:机器人能听到房间的形状和尺寸吗?
作者: Linh Nguyen, Xiaojun Qiu
备注:IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2019)
链接:https://arxiv.org/abs/1907.01169
【25】 Adaptive Music Composition for Games
标题:游戏中的自适应音乐创作
作者: Patrick Hutchings, Jon McCormack
备注:Preprint. Accepted for publication in IEEE Transactions on Games, 2019
链接:https://arxiv.org/abs/1907.01154
【26】 Language2Pose: Natural Language Grounded Pose Forecasting
标题:语言2Pose:基于自然语言的姿态预测
作者: Chaitanya Ahuja, Louis-Philippe Morency
链接:https://arxiv.org/abs/1907.01108
【27】 A Simulation Study of Social-Networking-Driven Smart Recommendations for Internet of Vehicles
标题:基于社交网络的车辆网络智能推荐系统的仿真研究
作者: Kashif Zia, Dinesh Kumar Saini
备注:A concise version of the paper appeared in the proceeding of the 16th International Conference on Practical Applications of Agents and Multi-Agent Systems 2018 held in Toledo, Spain
链接:https://arxiv.org/abs/1907.01101
【28】 Multiview Aggregation for Learning Category-Specific Shape Reconstruction
标题:学习类别特定形状重建的多视图聚合
作者: Srinath Sridhar, Leonidas J. Guibas
链接:https://arxiv.org/abs/1907.01085
【29】 Augmenting and Tuning Knowledge Graph Embeddings
标题:知识图嵌入的增广与调优
作者: Robert Bamler, Stephan Mandt
备注:Published version, Conference on Uncertainty in Artificial Intelligence (UAI 2019)
链接:https://arxiv.org/abs/1907.01068
【30】 Is artificial data useful for biomedical Natural Language Processing
标题:人工数据对生物医学自然语言处理有用吗?
作者: Zixu Wang, Lucia Specia
备注:Accepted by BioNLP 2019
链接:https://arxiv.org/abs/1907.01055
【31】 Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation
标题:通过细化特征表示消除对抗性扰动的影响
作者: Nader Asadi, Mahdi Eftekhari
链接:https://arxiv.org/abs/1907.01023
【32】 A Unified Approach to Robust Mean Estimation
标题:一种统一的稳健均值估计方法
作者: Adarsh Prasad, Pradeep Ravikumar
链接:https://arxiv.org/abs/1907.00927
【33】 Adaptive neural network based dynamic surface control for uncertain dual arm robots
标题:基于自适应神经网络的不确定双臂机器人动态曲面控制
作者: Dung Tien Pham, Anh Hoai Duong
链接:https://arxiv.org/abs/1905.02914
翻译:腾讯翻译君