Tomás Mikolov

92 papers A* 7A 8B 2C 5Misc 4Journal 44Unranked 22

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