TabReformer: Unsupervised Representation Learning for Erroneous Data Detection

被引:4
|
作者
Nashaat, Mona [1 ]
Ghosh, Aindrila [1 ]
Miller, James [1 ]
Quader, Shaikh [2 ]
机构
[1] Electrical and Computer Engineering, University of Alberta, 116 St & 85 Ave, Edmonton,AB,T6G2R3, Canada
[2] IBM Canada, Software Lab, 8200 Warden Ave, Unionville,ON,L6G 1C7, Canada
来源
关键词
Error detection;
D O I
10.1145/3447541
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Unsupervised Representation Learning by Invariance Propagation
    Wang, Feng
    Liu, Huaping
    Guo, Di
    Sun, Fuchun
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [42] On learning guarantees to unsupervised concept drift detection on data streams
    de Mello, Rodrigo F.
    Vaz, Yule
    Grossi, Carlos H.
    Bifet, Albert
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 117 : 90 - 102
  • [43] An Unsupervised Embedding Learning Feature Representation Scheme for Network Big Data Analysis
    Guo, Wenzhong
    Shi, Yiqing
    Wang, Shiping
    Xiong, Neal N.
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2020, 7 (01): : 115 - 126
  • [44] FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things
    Zhao, Chen
    Gao, Zhipeng
    Yang, Yang
    Wang, Qian
    Mo, Zijia
    Yu, Xinlei
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (15) : 13601 - 13611
  • [45] Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data
    Jean, Neal
    Wang, Sherrie
    Samar, Anshul
    Azzari, George
    Lobell, David
    Ermon, Stefano
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 3967 - 3974
  • [46] Anomaly Detection in Vessel Sensors Data with Unsupervised Learning Technique
    Handayani, Melia Putri
    Antariksa, Gian
    Lee, Jihwan
    2021 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2021,
  • [47] Unsupervised learning of anomalous diffusion data an anomaly detection approach
    Munoz-Gil, Gorka
    Corominas, Guillem Guigo, I
    Lewenstein, Maciej
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2021, 54 (50)
  • [48] Anomaly Detection on Shuttle data using Unsupervised Learning Techniques
    Shriram, S.
    Sivasankar, E.
    PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019), 2019, : 221 - 225
  • [49] Learning From Network Data Changes for Unsupervised Botnet Detection
    Schwengber, Bruno Henrique
    Vergutz, Andressa
    Prates Jr, Nelson G.
    Nogueira, Michele
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2022, 19 (01): : 601 - 613
  • [50] Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
    Wu, Yawen
    Wang, Zhepeng
    Zeng, Dewen
    Shi, Yiyu
    Hu, Jingtong
    THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 3, 2023, : 2866 - 2874