Long short-term memory

Results: 191



#Item
1Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai, Richard Socher*, Christopher D. Manning Computer Science Department, Stanford University, *MetaMind Inc. fo

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai, Richard Socher*, Christopher D. Manning Computer Science Department, Stanford University, *MetaMind Inc. fo

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2015-06-01 20:23:35
    2Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss Barbara Plank University of Groningen The Netherlands

    Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss Barbara Plank University of Groningen The Netherlands

    Add to Reading List

    Source URL: www.aclweb.org

    - Date: 2016-08-01 10:39:20
      3NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization Wookhee Min Bradford W. Mott

      NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization Wookhee Min Bradford W. Mott

      Add to Reading List

      Source URL: noisy-text.github.io

      - Date: 2016-08-14 21:11:09
        4Curriculum Vitæ Douglas Eck Research Scientist, Music and Machine Learning Google, Mountain View CA, USA  Contact

        Curriculum Vitæ Douglas Eck Research Scientist, Music and Machine Learning Google, Mountain View CA, USA Contact

        Add to Reading List

        Source URL: www.iro.umontreal.ca

        Language: English - Date: 2011-04-14 12:27:48
        5Supplementary for Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain1,2 , Amir R. Zamir1 , Silvio Savarese1 , and Ashutosh Saxena3 Stanford University1 , Cornell University2 , Brain Of Things Inc.3 {ashe

        Supplementary for Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain1,2 , Amir R. Zamir1 , Silvio Savarese1 , and Ashutosh Saxena3 Stanford University1 , Cornell University2 , Brain Of Things Inc.3 {ashe

        Add to Reading List

        Source URL: cvgl.stanford.edu

        Language: English - Date: 2016-04-30 19:02:32
        6Optimal Gradient-Based Learning Using Importance Weights Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at Berlin

        Optimal Gradient-Based Learning Using Importance Weights Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at Berlin

        Add to Reading List

        Source URL: www.bioinf.jku.at

        Language: English - Date: 2013-01-23 02:39:45
        7Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gaˇsi´c, Nikola Mrkˇsi´c, Pei-Hao Su, David Vandyke and Steve Young Cambridge University Engineering

        Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gaˇsi´c, Nikola Mrkˇsi´c, Pei-Hao Su, David Vandyke and Steve Young Cambridge University Engineering

        Add to Reading List

        Source URL: www.emnlp2015.org

        Language: English - Date: 2015-12-05 04:22:52
        8Bridging Long Time Lags by Weight Guessing and \Long Short Term Memory

        Bridging Long Time Lags by Weight Guessing and \Long Short Term Memory" Sepp Hochreiter Fakultat fur Informatik, Technische Universitat Munchen

        Add to Reading List

        Source URL: www.bioinf.jku.at

        Language: English - Date: 2013-01-23 02:11:14
        9EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING J¨ urgen Schmidhuber IDSIA Corso Elvezia 36

        EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING J¨ urgen Schmidhuber IDSIA Corso Elvezia 36

        Add to Reading List

        Source URL: www.bioinf.jku.at

        Language: English - Date: 2015-10-02 01:16:05
        10Workshop track - ICLRV ISUALIZING N ETWORKS  AND

        Workshop track - ICLRV ISUALIZING N ETWORKS AND

        Add to Reading List

        Source URL: vision.stanford.edu

        Language: English - Date: 2016-04-13 17:20:13