- Tomáš
Mikolov is a
Czech computer scientist working in the
field of
machine learning. In
March 2020,
Mikolov became a
senior research scientist at the...
-
additional words for a
partial sentence. Word2vec was
developed by Tomáš
Mikolov, Kai Chen, Greg Corrado, Ilya
Sutskever and Jeff Dean at Google, and published...
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Retrieved 2021-09-08. Bojanowski, Piotr; Grave, Edouard; Joulin, Armand;
Mikolov,
Tomas (2017-06-19). "Enriching Word
Vectors with
Subword Information"...
-
Google Translate into
Google Neural Machine Translation in 2016. Tomáš
Mikolov claims to have
developed the idea (before
joining Google Brain) of using...
-
space to be
explored profitably. In 2013, a team at
Google led by
Tomas Mikolov created word2vec, a word
embedding toolkit that can
train vector space...
-
Archived from the
original (PDF) on 17 May 2017.
Retrieved 27
April 2014.
Mikolov, Tomas; Chen, Kai; Corrado, Greg; Dean,
Jeffrey (2013). "Efficient estimation...
- words,
trained on up to 14
million words, by
Bengio et al.) 2010: Tomáš
Mikolov (then a PhD
student at Brno
University of Technology) with co-authors applied...
-
shift was
marked by the
development of word
embeddings (eg, Word2Vec by
Mikolov in 2013) and sequence-to-sequence (seq2seq)
models using LSTM. In 2016...
- Shlens, Jonathon; Bengio, Samy; Dean, Jeffrey; Ranzato, Marc'Aurelio;
Mikolov,
Tomas (2013-12-05). "DeViSE: a deep visual-semantic
embedding model"....
-
paper On the
difficulty of
training Recurrent Neural Networks by Pascanu,
Mikolov, and Bengio. A
generic recurrent network has
hidden states h 1 , h 2 ,...
