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Alex Graves
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At IDSIA, he trained long-term neural memory networks by a new method called connectionist time classification. In certain applications, this method outperformed traditional voice recognition models. In 2009, his CTC-trained LSTM was the first repeat neural network to win pattern recognition contests, winning a number of handwriting awards.
This is a very popular method. Google uses CTC-trained LSTM for smartphone voice recognition.Graves also designs the neural Turing machines and the related neural computer.
This is a very popular method. Google uses CTC-trained LSTM for smartphone voice recognition.Graves also designs the neural Turing machines and the related neural computer.
Papers73 papers
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ICLR 2021, (2021)
International Conference on Learning Representations, (2018)
Meire Fortunato,Mohammad Gheshlaghi Azar,Bilal Piot, Jacob Menick, Ian Osband,Alex Graves, Vlad Mnih,Rémi Munos,Demis Hassabis,Olivier Pietquin,Charles Blundell,Shane Legg
international conference on learning representations, (2018)
arXiv: Neural and Evolutionary Computing, (2018)
ICML, (2017)
IJCNN, (2017)
international conference on machine learning, (2017)
ICML, (2017): 1311-1320
arXiv: Neural and Evolutionary Computing, (2016)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016)
Cited by982Bibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 4125-4133
international conference on learning representations, (2016)
arXiv: Neural and Evolutionary Computing, (2016)
neural information processing systems, pp.3621-3629, (2016)
Cited by91Bibtex
SSW, (2016)
arXiv: Computation and Language, (2016)
Greg Wayne,Alex Graves,Demis Hassabis,Shambaditya Saha,Christoph A. Weber,Anthony A. Hyman, Frank Juelicher,David A. Stroud,Michael T. Ryan, Laurent Potvin-Trottier,Johan Paulsson, Kerry A. Geiler-Samerotte
CELL SYSTEMS, no. 5 (2016): 406-410
NIPS, pp.4790-4798, (2016)
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