REMARK CONCERNING A NON-LINEAR SEQUENCE-TO-SEQUENCE TRANSFORM

被引:5
|
作者
MARX, I
机构
来源
JOURNAL OF MATHEMATICS AND PHYSICS | 1963年 / 42卷 / 04期
关键词
D O I
10.1002/sapm1963421334
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
引用
收藏
页码:334 / &
相关论文
共 50 条
  • [21] Sequence-to-sequence prediction of spatiotemporal systems
    Shen, Guorui
    Kurths, Juergen
    Yuan, Ye
    CHAOS, 2020, 30 (02)
  • [22] Assessing incrementality in sequence-to-sequence models
    Ulmer, Dennis
    Hupkes, Dieuwke
    Bruni, Elia
    4TH WORKSHOP ON REPRESENTATION LEARNING FOR NLP (REPL4NLP-2019), 2019, : 209 - 217
  • [23] An Analysis of "Attention" in Sequence-to-Sequence Models
    Prabhavalkar, Rohit
    Sainath, Tara N.
    Li, Bo
    Rao, Kanishka
    Jaitly, Navdeep
    18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION, 2017, : 3702 - 3706
  • [24] Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach
    Lu, Jiachen
    Peng, Renyuan
    Cai, Xinyue
    Xu, Hang
    Li, Hongyang
    Wen, Feng
    Zhang, Wei
    Zhang, Li
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, 2023, : 23 - 33
  • [25] Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
    Tokarchuk, Evgeniia
    Rosendahl, Jan
    Wang, Weiyue
    Petrushkov, Pavel
    Lancewicki, Tomer
    Khadivi, Shahram
    Ney, Hermann
    IWSLT 2021: THE 18TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION, 2021, : 276 - 286
  • [26] Sequence-to-sequence modeling for graph representation learning
    Taheri, Aynaz
    Gimpel, Kevin
    Berger-Wolf, Tanya
    APPLIED NETWORK SCIENCE, 2019, 4 (01)
  • [27] Incorporating Copying Mechanism in Sequence-to-Sequence Learning
    Gu, Jiatao
    Lu, Zhengdong
    Li, Hang
    Li, Victor O. K.
    PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1, 2016, : 1631 - 1640
  • [28] MULTIMODAL GROUNDING FOR SEQUENCE-TO-SEQUENCE SPEECH RECOGNITION
    Caglayan, Ozan
    Sanabria, Ramon
    Palaskar, Shruti
    Barrault, Loic
    Metze, Florian
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8648 - 8652
  • [29] Deep Reinforcement Learning for Sequence-to-Sequence Models
    Keneshloo, Yaser
    Shi, Tian
    Ramakrishnan, Naren
    Reddy, Chandan K.
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (07) : 2469 - 2489
  • [30] Matrix product operators for sequence-to-sequence learning
    Guo, Chu
    Jie, Zhanming
    Lu, Wei
    Poletti, Dario
    PHYSICAL REVIEW E, 2018, 98 (04)