Tomas Mikolov

Research Scientist

Facebook AI Research

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

Google Scholar Profile
Google Scholar Profile

Latest Publications

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave

EMNLP 2018 - October 30, 2018

Advances in Pre-Training Distributed Word Representations

Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin

LREC 2018 - May 7, 2018

Efficient Large-Scale Multi-Modal Classification

Douwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov

AAAI 2018 - February 2, 2018

Enriching Word Vectors with Subword Information

Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov

TACL - July 31, 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 - April 24, 2017

Variable Computation in Recurrent Neural Networks

Yacine Jernite, Edouard Grave, Armand Joulin, Tomas Mikolov

ICLR 2017 - April 24, 2017

Bag of Tricks for Efficient Text Classification

Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov

EACL 2017 - April 3, 2017

A Roadmap Towards Machine Intelligence

Tomas Mikolov, Armand Joulin, Marco Baroni

ArXiv - November 25, 2015

Learning Simple Algorithms from Examples

Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus

ArXiv - November 23, 2015

Alternative Structures for Character-Level RNNs

Piotr Bojanowski, Armand Joulin, Tomas Mikolov

ArXiv - November 19, 2015

Learning Longer Memory in Recurrent Neural Networks

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

ICLR - June 22, 2015

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

Armand Joulin, Tomas Mikolov

ArXiv - June 22, 2015

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

Gregoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio

ICLR workshop - December 19, 2014

News

Expanded fastText library

May 2, 2017

fastText

August 18, 2016

Facebook Researchers Focus on the Most Challenging Machine Learning Questions at ICML 2016

June 19, 2016

Inferring Algorithmic Patterns with Stack

July 14, 2015

Using Neural Networks for Modeling and Representing Natural Languages

August 29, 2014