Tomás Mikolov

According to our database, Tomás Mikolov authored at least 68 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time.

David Herel, Vojtech Bartek, Tomás Mikolov

CoRR, 2024

Thinking Tokens for Language Modeling.

David Herel, Tomás Mikolov

CoRR, 2024

Large Language Models: A Survey.

Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao

CoRR, 2024

Collapse of Self-trained Language Models.

David Herel, Tomás Mikolov

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Advancing State of the Art in Language Modeling.

David Herel, Tomás Mikolov

CoRR, 2023

Preserving Semantics in Textual Adversarial Attacks.

David Herel, Hugo Cisneros, Tomás Mikolov

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Emergence of Self-Reproducing Metabolisms as Recursive Algorithms in an Artificial Chemistry.

Germán Kruszewski, Tomás Mikolov

Artif. Life, March, 2022

Classification of Discrete Dynamical Systems Based on Transients.

Barbora Hudcová, Tomás Mikolov

Artif. Life, March, 2022

Emergence of Novelty in Evolutionary Algorithms.

David Herel, Dominika Zogatova, Matej Kripner, Tomás Mikolov

CoRR, 2022

Benchmarking Learning Efficiency in Deep Reservoir Computing.

Hugo Cisneros, Tomás Mikolov, Josef Sivic

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Computational Hierarchy of Elementary Cellular Automata.

Barbora Hudcová, Tomás Mikolov

Proceedings of the 2021 Conference on Artificial Life, 2021

Language Modeling and Artificial Intelligence.

Tomás Mikolov

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response.

Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird, Shane Legg, Peter Lindes, Tomás Mikolov, William J. Rapaport, Raúl Rojas, Marek Rosa, Peter Stone, Richard S. Sutton, Roman V. Yampolskiy, Pei Wang, Roger C. Schank, Aaron Sloman, Alan F. T. Winfield

J. Artif. Gen. Intell., 2020

Class-Agnostic Continual Learning of Alternating Languages and Domains.

Germán Kruszewski, Ionut-Teodor Sorodoc, Tomás Mikolov

CoRR, 2020

Combinatory Chemistry: Towards a Simple Model of Emergent Evolution.

Germán Kruszewski, Tomás Mikolov

Proceedings of the 2020 Conference on Artificial Life, 2020

Classification of Complex Systems Based on Transients.

Barbora Hudcová, Tomás Mikolov

Proceedings of the 2020 Conference on Artificial Life, 2020

Visualizing computation in large-scale cellular automata.

Hugo Cisneros, Josef Sivic, Tomás Mikolov

Proceedings of the 2020 Conference on Artificial Life, 2020

2019

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment.

Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin

CoRR, 2019

Place Deduplication with Embeddings.

Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han

Proceedings of the World Wide Web Conference, 2019

Evolving Structures in Complex Systems.

Hugo Cisneros, Josef Sivic, Tomás Mikolov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Improving Supervised Bilingual Mapping of Word Embeddings.

Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave

CoRR, 2018

Advances in Pre-Training Distributed Word Representations.

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

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Word Vectors for 157 Languages.

Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

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

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Efficient Large-Scale Multi-Modal Classification.

Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Enriching Word Vectors with Subword Information.

Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov

Trans. Assoc. Comput. Linguistics, 2017

Learning Simpler Language Models with the Differential State Framework.

Alexander G. Ororbia II, Tomás Mikolov, David Reitter

Neural Comput., 2017

Learning Simpler Language Models with the Delta Recurrent Neural Network Framework.

Alexander G. Ororbia II, Tomás Mikolov, David Reitter

CoRR, 2017

Variable Computation in Recurrent Neural Networks.

Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov

Proceedings of the 5th International Conference on Learning Representations, 2017

CommAI: Evaluating the first steps towards a useful general AI.

Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov

Proceedings of the 5th International Conference on Learning Representations, 2017

Bag of Tricks for Efficient Text Classification.

Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Fast Linear Model for Knowledge Graph Embeddings.

Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

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

Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov

Proceedings of the 4th International Conference on Learning Representations, 2016

FastText.zip: Compressing text classification models.

Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov

CoRR, 2016

Learning Simple Algorithms from Examples.

Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus

Proceedings of the 33nd International Conference on Machine Learning, 2016

A Roadmap Towards Machine Intelligence.

Tomás Mikolov, Armand Joulin, Marco Baroni

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015

Learning Longer Memory in Recurrent Neural Networks.

Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato

Proceedings of the 3rd International Conference on Learning Representations, 2015

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

Grégoire Mesnil, Tomás Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio

Proceedings of the 3rd International Conference on Learning Representations, 2015

Alternative structures for character-level RNNs.

Piotr Bojanowski, Armand Joulin, Tomás Mikolov

CoRR, 2015

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets.

Armand Joulin, Tomás Mikolov

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Zero-Shot Learning by Convex Combination of Semantic Embeddings.

Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean

Proceedings of the 2nd International Conference on Learning Representations, 2014

One billion word benchmark for measuring progress in statistical language modeling.

Ciprian Chelba, Tomás Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, Tony Robinson

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Distributed Representations of Sentences and Documents.

Quoc V. Le, Tomás Mikolov

Proceedings of the 31th International Conference on Machine Learning, 2014

Using Neural Networks for Modeling and Representing Natural Languages.

Tomás Mikolov

Proceedings of the COLING 2014, 2014

2013

Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model.

Anoop Deoras, Tomás Mikolov, Stefan Kombrink, Kenneth Church

Speech Commun., 2013

Efficient Estimation of Word Representations in Vector Space

Tomás Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean

Proceedings of the 1st International Conference on Learning Representations, 2013

Exploiting Similarities among Languages for Machine Translation.

Tomás Mikolov, Quoc V. Le, Ilya Sutskever

CoRR, 2013

One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Ciprian Chelba, Tomás Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn

CoRR, 2013

Distributed Representations of Words and Phrases and their Compositionality.

Tomás Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, Jeffrey Dean

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

DeViSE: A Deep Visual-Semantic Embedding Model.

Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc'Aurelio Ranzato, Tomás Mikolov

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Combining Heterogeneous Models for Measuring Relational Similarity.

Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Linguistic Regularities in Continuous Space Word Representations.

Tomás Mikolov, Wen-tau Yih, Geoffrey Zweig

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

On the difficulty of training recurrent neural networks.

Razvan Pascanu, Tomás Mikolov, Yoshua Bengio

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Understanding the exploding gradient problem

Razvan Pascanu, Tomás Mikolov, Yoshua Bengio

CoRR, 2012

Context dependent recurrent neural network language model.

Tomás Mikolov, Geoffrey Zweig

Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Improving language models for ASR using translated in-domain data.

Stefan Kombrink, Tomás Mikolov, Martin Karafiát, Lukás Burget

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Empirical Evaluation and Combination of Advanced Language Modeling Techniques.

Tomás Mikolov, Anoop Deoras, Stefan Kombrink, Lukás Burget, Jan Cernocký

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Recurrent Neural Network Based Language Modeling in Meeting Recognition.

Stefan Kombrink, Tomás Mikolov, Martin Karafiát, Lukás Burget

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Extensions of recurrent neural network language model.

Tomás Mikolov, Stefan Kombrink, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2011

Variational approximation of long-span language models for lvcsr.

Anoop Deoras, Tomás Mikolov, Stefan Kombrink, Martin Karafiát, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2011

A Fast Re-scoring Strategy to Capture Long-Distance Dependencies.

Anoop Deoras, Tomás Mikolov, Kenneth Church

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Strategies for training large scale neural network language models.

Tomás Mikolov, Anoop Deoras, Daniel Povey, Lukás Burget, Jan Cernocký

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010

PCA-based Feature Extraction for Phonotactic Language Recognition.

Tomás Mikolov, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký

Proceedings of the Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28, 2010

Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system.

Zdenek Jancik, Oldrich Plchot, Niko Brümmer, Lukás Burget, Ondrej Glembek, Valiantsina Hubeika, Martin Karafiát, Pavel Matejka, Tomás Mikolov, Albert Strasheim, Jan Cernocký

Proceedings of the Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28, 2010

Recurrent neural network based language model.

Tomás Mikolov, Martin Karafiát, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

2009

Neural network based language models for highly inflective languages.

Tomás Mikolov, Jirí Kopecký, Lukás Burget, Ondrej Glembek, Jan Cernocký

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

BUT language recognition system for NIST 2007 evaluations.

Pavel Matejka, Lukás Burget, Ondrej Glembek, Petr Schwarz, Valiantsina Hubeika, Michal Fapso, Tomás Mikolov, Oldrich Plchot, Jan Cernocký

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Advances in phonotactic language recognition.

Ondrej Glembek, Pavel Matejka, Lukás Burget, Tomás Mikolov

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008