Extensions for open default theories via the domain closure assumption

被引：0
|
作者：
Technion - Israel Inst of Technology, Haifa, Israel [1 ]
机构：
来源：
J Logic Comput | / 2卷 / 169-187期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Balanced Open Set Domain Adaptation via Centroid Alignment
    Jing, Mengmeng
    Li, Jingjing
    Zhu, Lei
    Ding, Zhengming
    Lu, Ke
    Yang, Yang
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 8013 - 8020
  • [22] Structured Text Summarization via Open Domain Information Extraction
    Hao, Zengguang
    Xu, Binxia
    Zheng, Shiyuan
    Gao, Yang
    PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD)), 2018, : 701 - 706
  • [23] Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
    Liu, Hong
    Cao, Zhangjie
    Long, Mingsheng
    Wang, Jianmin
    Yang, Qiang
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 2922 - 2931
  • [24] Open-Set Domain Adaptation Classification Via Adversarial Learning
    Zhao, Yunbin
    Zhu, Songhao
    Liang, Zhiwei
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 7059 - 7063
  • [25] Open Domain Question Answering over Tables via Dense Retrieval
    Herzig, Jonathan
    Muller, Thomas
    Krichene, Syrine
    Eisenschlos, Julian Martin
    2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021), 2021, : 512 - 519
  • [26] Open Set Domain Adaptation via Joint Alignment and Category Separation
    Liu, Jieyan
    Jing, Mengmeng
    Li, Jingjing
    Lu, Ke
    Shen, Heng Tao
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (09) : 6186 - 6199
  • [27] GHOST-FREE QUANTIZATION OF NON-ABELIAN GAUGE-THEORIES VIA THE NICOLAI TRANSFORMATION OF THEIR SUPERSYMMETRIC EXTENSIONS
    DIETZ, K
    LECHTENFELD, O
    NUCLEAR PHYSICS B, 1985, 259 (2-3) : 397 - 411
  • [28] Accurate characterization of reaction pathways relevant to combustion and electronic excitations in radicals and biradicals via renormalized and active-space coupled-cluster theories, their merger, and open-shell extensions
    Piecuch, Piotr
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 245
  • [29] Visualizing Multi-document Semantics via Open Domain Information Extraction
    Sheng, Yongpan
    Xu, Zenglin
    Wang, Yafang
    Zhang, Xiangyu
    Jia, Jia
    You, Zhonghui
    de Melo, Gerard
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT III, 2019, 11053 : 695 - 699
  • [30] Interpretable Open-Set Domain Adaptation via Angular Margin Separation
    Li, Xinhao
    Li, Jingjing
    Du, Zhekai
    Zhu, Lei
    Li, Wen
    COMPUTER VISION, ECCV 2022, PT XXXIV, 2022, 13694 : 1 - 18
12345