Tomás Mikolov

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 54

Top Topics

Artificial Intelligence

Text Classification

Top Venues

ICLR (Workshop)

Publications

David Herel, Tomás Mikolov
Collapse of Self-trained Language Models. Tiny Papers @ ICLR (2024)
Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao
Large Language Models: A Survey. CoRR (2024)
David Herel, Tomás Mikolov
Thinking Tokens for Language Modeling. CoRR (2024)
David Herel, Tomás Mikolov
Collapse of Self-trained Language Models. CoRR (2024)
David Herel, Hugo Cisneros, Tomás Mikolov
Preserving Semantics in Textual Adversarial Attacks. ECAI (2023)
David Herel, Tomás Mikolov
Advancing State of the Art in Language Modeling. CoRR (2023)
David Herel, Hugo Cisneros, Tomás Mikolov
Preserving Semantics in Textual Adversarial Attacks. CoRR (2022)
Hugo Cisneros, Tomás Mikolov, Josef Sivic
Benchmarking Learning Efficiency in Deep Reservoir Computing. CoLLAs (2022)
Hugo Cisneros, Josef Sivic, Tomás Mikolov
Benchmarking Learning Efficiency in Deep Reservoir Computing. CoRR (2022)
David Herel, Dominika Zogatova, Matej Kripner, Tomás Mikolov
Emergence of Novelty in Evolutionary Algorithms. CoRR (2022)
Barbora Hudcová, Tomás Mikolov
Classification of Discrete Dynamical Systems Based on Transients. Artif. Life 27 (3-4) (2022)
Germán Kruszewski, Tomás Mikolov
Emergence of Self-Reproducing Metabolisms as Recursive Algorithms in an Artificial Chemistry. Artif. Life 27 (3-4) (2022)
Barbora Hudcová, Tomás Mikolov
Classification of Discrete Dynamical Systems Based on Transients. CoRR (2021)
Germán Kruszewski, Tomás Mikolov
Emergence of self-reproducing metabolisms as recursive algorithms in an Artificial Chemistry. CoRR (2021)
Tomás Mikolov
Language Modeling and Artificial Intelligence. Interspeech (2021)
Barbora Hudcová, Tomás Mikolov
Computational Hierarchy of Elementary Cellular Automata. CoRR (2021)
Hugo Cisneros, Josef Sivic, Tomás Mikolov
Visualizing computation in large-scale cellular automata. CoRR (2021)
Barbora Hudcová, Tomás Mikolov
Computational Hierarchy of Elementary Cellular Automata. ALIFE (2021)
Barbora Hudcová, Tomás Mikolov
Classification of Complex Systems Based on Transients. ALIFE (2020)
Hugo Cisneros, Josef Sivic, Tomás Mikolov
Visualizing computation in large-scale cellular automata. ALIFE (2020)
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
Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. J. Artif. Gen. Intell. 11 (2) (2020)
Barbora Hudcová, Tomás Mikolov
Classification of Complex Systems Based on Transients. CoRR (2020)
Germán Kruszewski, Ionut-Teodor Sorodoc, Tomás Mikolov
Class-Agnostic Continual Learning of Alternating Languages and Domains. CoRR (2020)
Germán Kruszewski, Tomás Mikolov
Combinatory Chemistry: Towards a Simple Model of Emergent Evolution. ALIFE (2020)
Germán Kruszewski, Tomás Mikolov
Combinatory Chemistry: Towards a Simple Model of Emergent Evolution. CoRR (2020)
Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han
Place Deduplication with Embeddings. WWW (2019)
Hugo Cisneros, Josef Sivic, Tomás Mikolov
Evolving Structures in Complex Systems. CoRR (2019)
Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han
Place Deduplication with Embeddings. CoRR (2019)
Hugo Cisneros, Josef Sivic, Tomás Mikolov
Evolving Structures in Complex Systems. SSCI (2019)
Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR (2019)
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
Learning Word Vectors for 157 Languages. CoRR (2018)
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
Efficient Large-Scale Multi-Modal Classification. CoRR (2018)
Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP (2018)
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
Learning Word Vectors for 157 Languages. LREC (2018)
Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
Advances in Pre-Training Distributed Word Representations. LREC (2018)
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
Efficient Large-Scale Multi-Modal Classification. AAAI (2018)
Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave
Improving Supervised Bilingual Mapping of Word Embeddings. CoRR (2018)
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics 5 (2017)
Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
Advances in Pre-Training Distributed Word Representations. CoRR (2017)
Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
CommAI: Evaluating the first steps towards a useful general AI. ICLR (Workshop) (2017)
Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
CommAI: Evaluating the first steps towards a useful general AI. CoRR (2017)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS (2017)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
Fast Linear Model for Knowledge Graph Embeddings. CoRR (2017)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
Bag of Tricks for Efficient Text Classification. EACL (2) (2017)
Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
Variable Computation in Recurrent Neural Networks. ICLR (Poster) (2017)
Alexander G. Ororbia II, Tomás Mikolov, David Reitter
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework. CoRR (2017)
Alexander G. Ororbia II, Tomás Mikolov, David Reitter
Learning Simpler Language Models with the Differential State Framework. Neural Comput. 29 (12) (2017)
Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. ICLR (Poster) (2016)
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
Enriching Word Vectors with Subword Information. CoRR (2016)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov
FastText.zip: Compressing text classification models. CoRR (2016)
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
Learning Simple Algorithms from Examples. ICML (2016)
Tomás Mikolov, Armand Joulin, Marco Baroni
A Roadmap Towards Machine Intelligence. CICLing (1) (2016)
Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
Variable Computation in Recurrent Neural Networks. CoRR (2016)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
Bag of Tricks for Efficient Text Classification. CoRR (2016)
Armand Joulin, Tomás Mikolov
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. CoRR (2015)
Grégoire Mesnil, Tomás Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews. ICLR (Workshop) (2015)
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
Learning Simple Algorithms from Examples. CoRR (2015)
Piotr Bojanowski, Armand Joulin, Tomás Mikolov
Alternative structures for character-level RNNs. CoRR (2015)
Tomás Mikolov, Armand Joulin, Marco Baroni
A Roadmap towards Machine Intelligence. CoRR (2015)
Armand Joulin, Tomás Mikolov
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. NIPS (2015)
Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) (2015)
Ciprian Chelba, Tomás Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, Tony Robinson
One billion word benchmark for measuring progress in statistical language modeling. INTERSPEECH (2014)
Quoc V. Le, Tomás Mikolov
Distributed Representations of Sentences and Documents. ICML (2014)
Tomás Mikolov
Using Neural Networks for Modeling and Representing Natural Languages. COLING (Tutorials) (2014)
Quoc V. Le, Tomás Mikolov
Distributed Representations of Sentences and Documents. CoRR (2014)
Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean
Zero-Shot Learning by Convex Combination of Semantic Embeddings. ICLR (2014)
Razvan Pascanu, Tomás Mikolov, Yoshua Bengio
On the difficulty of training recurrent neural networks. ICML (3) (2013)
Tomás Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean
Distributed Representations of Words and Phrases and their Compositionality. CoRR (2013)
Tomás Mikolov, Quoc V. Le, Ilya Sutskever
Exploiting Similarities among Languages for Machine Translation. CoRR (2013)
Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc'Aurelio Ranzato, Tomás Mikolov
DeViSE: A Deep Visual-Semantic Embedding Model. NIPS (2013)
Tomás Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, Jeffrey Dean
Distributed Representations of Words and Phrases and their Compositionality. NIPS (2013)
Anoop Deoras, Tomás Mikolov, Stefan Kombrink, Kenneth Church
Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model. Speech Commun. 55 (1) (2013)
Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov
Combining Heterogeneous Models for Measuring Relational Similarity. HLT-NAACL (2013)
Ciprian Chelba, Tomás Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling. CoRR (2013)
Tomás Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean
Efficient Estimation of Word Representations in Vector Space ICLR (Workshop Poster) (2013)
Tomás Mikolov, Wen-tau Yih, Geoffrey Zweig
Linguistic Regularities in Continuous Space Word Representations. HLT-NAACL (2013)
Stefan Kombrink, Tomás Mikolov, Martin Karafiát, Lukás Burget
Improving language models for ASR using translated in-domain data. ICASSP (2012)
Razvan Pascanu, Tomás Mikolov, Yoshua Bengio
Understanding the exploding gradient problem CoRR (2012)
Tomás Mikolov, Geoffrey Zweig
Context dependent recurrent neural network language model. SLT (2012)
Anoop Deoras, Tomás Mikolov, Stefan Kombrink, Martin Karafiát, Sanjeev Khudanpur
Variational approximation of long-span language models for lvcsr. ICASSP (2011)
Stefan Kombrink, Tomás Mikolov, Martin Karafiát, Lukás Burget
Recurrent Neural Network Based Language Modeling in Meeting Recognition. INTERSPEECH (2011)
Tomás Mikolov, Stefan Kombrink, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur
Extensions of recurrent neural network language model. ICASSP (2011)
Tomás Mikolov, Anoop Deoras, Stefan Kombrink, Lukás Burget, Jan Cernocký
Empirical Evaluation and Combination of Advanced Language Modeling Techniques. INTERSPEECH (2011)
Anoop Deoras, Tomás Mikolov, Kenneth Church
A Fast Re-scoring Strategy to Capture Long-Distance Dependencies. EMNLP (2011)
Tomás Mikolov, Anoop Deoras, Daniel Povey, Lukás Burget, Jan Cernocký
Strategies for training large scale neural network language models. ASRU (2011)
Zdenek Jancik, Oldrich Plchot, Niko Brümmer, Lukás Burget, Ondrej Glembek, Valiantsina Hubeika, Martin Karafiát, Pavel Matejka, Tomás Mikolov, Albert Strasheim, Jan Cernocký
Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system. Odyssey (2010)
Tomás Mikolov, Martin Karafiát, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur
Recurrent neural network based language model. INTERSPEECH (2010)
Tomás Mikolov, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký
PCA-based Feature Extraction for Phonotactic Language Recognition. Odyssey (2010)
Tomás Mikolov, Jirí Kopecký, Lukás Burget, Ondrej Glembek, Jan Cernocký
Neural network based language models for highly inflective languages. ICASSP (2009)
Pavel Matejka, Lukás Burget, Ondrej Glembek, Petr Schwarz, Valiantsina Hubeika, Michal Fapso, Tomás Mikolov, Oldrich Plchot, Jan Cernocký
BUT language recognition system for NIST 2007 evaluations. INTERSPEECH (2008)
Ondrej Glembek, Pavel Matejka, Lukás Burget, Tomás Mikolov
Advances in phonotactic language recognition. INTERSPEECH (2008)