I am a research scientist at Facebook AI Research since May 2014. Previously I have been member of Google Brain team, where I developed and implemented efficient algorithms for computing distributed representations of words (word2vec project). I have obtained my PhD from Brno University of Technology (Czech Republic) for my work on recurrent neural network based language models (RNNLM). My long term research goal is to develop intelligent machines capable of learning and communication with people using natural language.
Interests
Machine learning, and natural language processing
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Latest Publications
LREC - April 30, 2019
Learning Word Vectors for 157 Languages
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomas Mikolov
EMNLP 2018 - October 30, 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave
LREC 2018 - May 7, 2018
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
AAAI 2018 - February 2, 2018
Efficient Large-Scale Multi-Modal Classification
Douwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov
TACL - July 31, 2017
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov
ICLR - April 24, 2017
CommAI: Evaluating the First Steps Towards a Useful General AI
Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov
ICLR 2017 - April 24, 2017
Variable Computation in Recurrent Neural Networks
Yacine Jernite, Edouard Grave, Armand Joulin, Tomas Mikolov
EACL 2017 - April 3, 2017
Bag of Tricks for Efficient Text Classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov
ArXiv - November 25, 2015
A Roadmap Towards Machine Intelligence
Tomas Mikolov, Armand Joulin, Marco Baroni
ArXiv - November 23, 2015
Learning Simple Algorithms from Examples
Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus
ArXiv - November 19, 2015
Alternative Structures for Character-Level RNNs
Piotr Bojanowski, Armand Joulin, Tomas Mikolov
ICLR - June 22, 2015
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato
ArXiv - June 22, 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov
ICLR workshop - December 19, 2014
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Gregoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio
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