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Tomas Mikolov
Classification of Complex Systems Based on Transients

Aug 31, 2020
Barbora Hudcova, Tomas Mikolov

* Artificial Life Conference Proceedings 32 (2020), 367-375 
 * 9 pages 
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Class-Agnostic Continual Learning of Alternating Languages and Domains

Apr 07, 2020
Germán Kruszewski, Ionut-Teodor Sorodoc, Tomas Mikolov


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Combinatory Chemistry: Towards a Simple Model of Emergent Evolution

Mar 17, 2020
Germán Kruszewski, Tomas Mikolov


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Evolving Structures in Complex Systems

Nov 04, 2019
Hugo Cisneros, Josef Sivic, Tomas Mikolov

* Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence 
 * IEEE Symposium Series on Computational Intelligence 2019 (IEEE SSCI 2019) 
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Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment

Oct 15, 2019
Piotr Bojanowski, Onur Celebi, Tomas Mikolov, Edouard Grave, Armand Joulin


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Place Deduplication with Embeddings

Sep 29, 2019
Carl Yang, Do Huy Hoang, Tomas Mikolov, Jiawei Han

* Published at WWW 2019 
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Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Sep 05, 2018
Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Herve Jegou, Edouard Grave


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Learning Word Vectors for 157 Languages

Mar 28, 2018
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomas Mikolov

* Accepted to LREC 
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Advances in Pre-Training Distributed Word Representations

Dec 26, 2017
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin


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Fast Linear Model for Knowledge Graph Embeddings

Oct 30, 2017
Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomas Mikolov

* Submitted AKBC 2017 
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Learning Simpler Language Models with the Differential State Framework

Jul 16, 2017
Alexander G. Ororbia II, Tomas Mikolov, David Reitter

* Edits/revisions applied throughout document 
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Enriching Word Vectors with Subword Information

Jun 19, 2017
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov

* Accepted to TACL. The two first authors contributed equally 
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CommAI: Evaluating the first steps towards a useful general AI

Mar 27, 2017
Marco Baroni, Armand Joulin, Allan Jabri, Germàn Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov

* Published in ICLR 2017 Workshop Track 
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Variable Computation in Recurrent Neural Networks

Mar 02, 2017
Yacine Jernite, Edouard Grave, Armand Joulin, Tomas Mikolov


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FastText.zip: Compressing text classification models

Dec 12, 2016
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, Tomas Mikolov

* Submitted to ICLR 2017 
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Bag of Tricks for Efficient Text Classification

Aug 09, 2016
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov


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A Roadmap towards Machine Intelligence

Feb 26, 2016
Tomas Mikolov, Armand Joulin, Marco Baroni


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Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Dec 31, 2015
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, Tomas Mikolov


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Alternative structures for character-level RNNs

Nov 24, 2015
Piotr Bojanowski, Armand Joulin, Tomas Mikolov

* First revision. Updated Table 3, extended Sec. 5.3 and added a paragraph to the conclusion, 
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Learning Simple Algorithms from Examples

Nov 24, 2015
Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus


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Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

Jun 01, 2015
Armand Joulin, Tomas Mikolov


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Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

May 27, 2015
Grégoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio


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Learning Longer Memory in Recurrent Neural Networks

Apr 16, 2015
Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato


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Distributed Representations of Sentences and Documents

May 22, 2014
Quoc V. Le, Tomas Mikolov


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Zero-Shot Learning by Convex Combination of Semantic Embeddings

Mar 21, 2014
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado, Jeffrey Dean


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One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Mar 04, 2014
Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, Tony Robinson

* Accompanied by a code.google.com project allowing anyone to generate the benchmark data, and use it to compare their language model against the ones described in the paper 
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Distributed Representations of Words and Phrases and their Compositionality

Oct 16, 2013
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean


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Exploiting Similarities among Languages for Machine Translation

Sep 17, 2013
Tomas Mikolov, Quoc V. Le, Ilya Sutskever


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Efficient Estimation of Word Representations in Vector Space

Sep 07, 2013
Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean


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On the difficulty of training Recurrent Neural Networks

Feb 16, 2013
Razvan Pascanu, Tomas Mikolov, Yoshua Bengio

* Improved description of the exploding gradient problem and description and analysis of the vanishing gradient problem 
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