人工智能每日论文速递[08.16]

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cs.AI 方向,今日共计11篇

[cs.AI]:

【1】 Tracing Player Knowledge in a Parallel Programming Educational Game
标题:并行编程教育游戏中的玩家知识跟踪
作者: Pavan Kantharaju, Santiago Ontañón
备注:7 pages, 2 figures, published at AIIDE 2018 conference
链接:https://arxiv.org/abs/1908.05632

【2】 Conditional LSTM-GAN for Melody Generation from Lyrics
标题:从歌词生成旋律的条件LSTM-GAN
作者: Yi Yu, Simon Canales
链接:https://arxiv.org/abs/1908.05551

【3】 Playing a Strategy Game with Knowledge-Based Reinforcement Learning
标题:玩基于知识的强化学习的策略游戏
作者: Viktor Voss, Steffen Bauer
链接:https://arxiv.org/abs/1908.05472

【4】 Evaluating Empathy in Artificial Agents
标题:评估人工代理中的同理心
作者: Özge Nilay Yalçın
备注:This is a pre-print of an article accepted to ACII 2019 conference (this http URL). The final authenticated version will be published on IEEExplore as proceedings
链接:https://arxiv.org/abs/1908.05341

【5】 PHYRE: A New Benchmark for Physical Reasoning
标题:PHYRE:物理推理的新基准
作者: Anton Bakhtin, Ross Girshick
链接:https://arxiv.org/abs/1908.05656

【6】 Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
标题:基于检索的QA系统中基于深度强化学习的生成性问题求精
作者: Ye Liu, Philip S. Yu
备注:CIKM 2019. arXiv admin note: text overlap with arXiv:1808.07982 by other authors
链接:https://arxiv.org/abs/1908.05604

【7】 SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing
标题:SHREWD:弱监督深度散列的基于语义层次的关系嵌入
作者: Heikki Arponen, Tom E Bishop
链接:https://arxiv.org/abs/1908.05602

【8】 A Multivariate Model for Representing Semantic Non-compositionality
标题:一种表示语义非组合性的多变量模型
作者: Meghdad Farahmand
链接:https://arxiv.org/abs/1908.05490

【9】 Multi-class Hierarchical Question Classification for Multiple Choice Science Exams
标题:多选题理科考试的多类分层问题分类
作者: Dongfang Xu, Peter Clark
链接:https://arxiv.org/abs/1908.05441

【10】 From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility
标题:深度强化学习中从结晶适应性到流体适应性-生物系统对适应性柔性的启示
作者: Malte Schilling, Frank W. Ohl
链接:https://arxiv.org/abs/1908.05348

【11】 A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation
标题:一种弱监督的基于注意的可视化政治从属评估工具
作者: Srijith Rajamohan, Amit Ramesh
链接:https://arxiv.org/abs/1908.02282

翻译:腾讯翻译君

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