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人工智能每日论文速递[07.31]

人工智能每日论文速递[07.31]

作者: arXiv每日论文速递 | 来源:发表于2019-07-31 10:36 被阅读3次

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    cs.AI 方向,今日共计11篇

    【1】 Let's Make It Personal, A Challenge in Personalizing Medical Inter-Human Communication
    标题:让我们个人化吧,个人化医学人际交流的挑战
    作者: Mor Vered, Tim Miller
    链接:https://arxiv.org/abs/1907.12687

    【2】 Iterative Budgeted Exponential Search
    标题:迭代预算指数搜索
    作者: Malte Helmert, Nathan R. Sturtevant
    链接:https://arxiv.org/abs/1907.13062

    【3】 Grid Saliency for Context Explanations of Semantic Segmentation
    标题:语义切分上下文解释的网格显著性
    作者: Lukas Hoyer, Volker Fischer
    链接:https://arxiv.org/abs/1907.13054

    【4】 Kernels on fuzzy sets: an overview
    标题:模糊集上的核:综述
    作者: Jorge Guevara, Stéphane Canu
    备注:Learning on Distributions, Functions, Graphs and Groups @ NIPS-2017, 8th Dec
    链接:https://arxiv.org/abs/1907.12991

    【5】 Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge
    标题:使用VGG和SincNet检测欺骗攻击:但是-Omilia提交给ASVspoof 2019挑战
    作者: Hossein Zeinali, Jan "Honza'' Černocký
    链接:https://arxiv.org/abs/1907.12908

    【6】 End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
    标题:基于关系推理的端到端循环多目标跟踪与轨迹预测
    作者: Fabian B. Fuchs, Ingmar Posner
    链接:https://arxiv.org/abs/1907.12887

    【7】 Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning
    标题:具有强化学习的非线性、复杂和黑箱温室系统的控制
    作者: Byunghyun Ban, Soobin Kim
    备注:4 pages, 2 figures, 1 table. 2 pages of supplementary information. Published on ICTC 2017
    链接:https://arxiv.org/abs/1907.12690

    【8】 The Challenge of Imputation in Explainable Artificial Intelligence Models
    标题:可解释人工智能模型中的归因挑战
    作者: Muhammad Aurangzeb Ahmad, Ankur Teredesai
    备注:The IJCAI-19 Workshop on Artificial Intelligence Safety
    链接:https://arxiv.org/abs/1907.12669

    【9】 Reinforced Dynamic Reasoning for Conversational Question Generation
    标题:用于会话问题生成的强化动态推理
    作者: Boyuan Pan, Huan Sun
    备注:Accepted in ACL 2019
    链接:https://arxiv.org/abs/1907.12667

    【10】 How model accuracy and explanation fidelity influence user trust
    标题:模型准确性和解释保真度如何影响用户信任
    作者: Andrea Papenmeier, Christin Seifert
    备注:AI IJCAI Workshop on Explainable Artificial Intelligence (X-AI) 2019
    链接:https://arxiv.org/abs/1907.12652

    【11】 Multi-Agent Path Finding with Capacity Constraints
    标题:容量约束下的多Agent路径搜索
    作者: Pavel Surynek, Sven Koenig
    备注:arXiv admin note: substantial text overlap with arXiv:1809.05959 and arXiv:1907.07631
    链接:https://arxiv.org/abs/1907.12648

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