Short-term memory

Results: 382



#Item
81ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

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Source URL: arxiv.org

Language: English - Date: 2012-12-16 20:30:23
82Workshop track - ICLRF EED -F ORWARD N ETWORKS WITH ATTENTION C AN S OLVE S OME L ONG -T ERM M EMORY P ROBLEMS Daniel P. W. Ellis LabROSA, Columbia University

Workshop track - ICLRF EED -F ORWARD N ETWORKS WITH ATTENTION C AN S OLVE S OME L ONG -T ERM M EMORY P ROBLEMS Daniel P. W. Ellis LabROSA, Columbia University

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Source URL: colinraffel.com

Language: English - Date: 2016-03-27 22:53:26
83Actions ⇠ Transformations 1 Xiaolong Wang1⇤ Ali Farhadi2,3 Abhinav Gupta1,3

Actions ⇠ Transformations 1 Xiaolong Wang1⇤ Ali Farhadi2,3 Abhinav Gupta1,3

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Source URL: ai2-website.s3.amazonaws.com

Language: English - Date: 2016-05-10 13:04:51
84MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Minimum Word Error Training of Long Short-Term Memory Recurrent Neural Network Language Models for Speech Recognition

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Minimum Word Error Training of Long Short-Term Memory Recurrent Neural Network Language Models for Speech Recognition

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Source URL: www.merl.com

Language: English - Date: 2016-03-31 07:14:21
    85Lasagne Tutorial This tutorial assumes basic knowledge of Theano. Here is a Theano tutorial if you need to get up to speed. Theano is increadibly useful for compiling and automatically differentiating symbolic expressio

    Lasagne Tutorial This tutorial assumes basic knowledge of Theano. Here is a Theano tutorial if you need to get up to speed. Theano is increadibly useful for compiling and automatically differentiating symbolic expressio

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    Source URL: colinraffel.com

    Language: English - Date: 2015-12-30 23:12:51
    86Caching Algorithms and Rational Models of Memory Avi Press () Michael Pacer () Thomas L. Griffiths (tom ) Department of Psychology, University of California,

    Caching Algorithms and Rational Models of Memory Avi Press () Michael Pacer () Thomas L. Griffiths (tom ) Department of Psychology, University of California,

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    Source URL: cocosci.berkeley.edu

    Language: English - Date: 2014-05-05 18:58:52
    87Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao, Geoffrey Zweig Microsoft Research {kaisheny, gzweig}@microsoft.com

    Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao, Geoffrey Zweig Microsoft Research {kaisheny, gzweig}@microsoft.com

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    Source URL: research.microsoft.com

    Language: English - Date: 2015-05-31 01:20:23
    88Under review as a conference paper at ICLRN EURAL P ROGRAMMER -I NTERPRETERS Scott Reed & Nando de Freitas Google DeepMind London, UK

    Under review as a conference paper at ICLRN EURAL P ROGRAMMER -I NTERPRETERS Scott Reed & Nando de Freitas Google DeepMind London, UK

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    Source URL: arxiv.org

    Language: English - Date: 2015-12-08 20:25:43
    89Mem Cogn:839–850 DOIs13421z The role of habituation and attentional orienting in the disruption of short-term memory performance Jan Philipp Röer & Raoul Bell & Sandra Dentale &

    Mem Cogn:839–850 DOIs13421z The role of habituation and attentional orienting in the disruption of short-term memory performance Jan Philipp Röer & Raoul Bell & Sandra Dentale &

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    Source URL: www.psychologie.hhu.de

    Language: English
      90arXiv:1409.3215v1 [cs.CL] 10 SepSequence to Sequence Learning with Neural Networks Ilya Sutskever Google

      arXiv:1409.3215v1 [cs.CL] 10 SepSequence to Sequence Learning with Neural Networks Ilya Sutskever Google

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      Source URL: arxiv.org

      Language: English - Date: 2014-09-10 20:20:14