Tomáš Mikolov
#11,514
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Research scientist
Tomáš Mikolov's AcademicInfluence.com Rankings
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Computer Science
#821
World Rank
#852
Historical Rank
Computational Linguistics
#238
World Rank
#242
Historical Rank
Artificial Intelligence
#788
World Rank
#800
Historical Rank
Database
#1572
World Rank
#1650
Historical Rank
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Computer Science
Tomáš Mikolov's Degrees
- PhD Computer Science Brno University of Technology
- Masters Computer Science Brno University of Technology
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Why Is Tomáš Mikolov Influential?
(Suggest an Edit or Addition)According to Wikipedia, Tomáš Mikolov is a Czech computer scientist working in the field of machine learning. In March of 2020, Mikolov became a senior research scientist at the Czech Institute of Informatics, Robotics and Cybernetics.
Tomáš Mikolov's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Distributed Representations of Words and Phrases and their Compositionality (2013) (29321)
- Efficient Estimation of Word Representations in Vector Space (2013) (25689)
- Distributed Representations of Sentences and Documents (2014) (8032)
- Enriching Word Vectors with Subword Information (2016) (7866)
- Recurrent neural network based language model (2010) (5359)
- On the difficulty of training recurrent neural networks (2012) (4412)
- Bag of Tricks for Efficient Text Classification (2016) (3668)
- Linguistic Regularities in Continuous Space Word Representations (2013) (3326)
- DeViSE: A Deep Visual-Semantic Embedding Model (2013) (2243)
- Extensions of recurrent neural network language model (2011) (1517)
- Exploiting Similarities among Languages for Machine Translation (2013) (1460)
- Learning Word Vectors for 157 Languages (2018) (1089)
- Advances in Pre-Training Distributed Word Representations (2017) (1003)
- Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks (2015) (995)
- One billion word benchmark for measuring progress in statistical language modeling (2013) (983)
- Zero-Shot Learning by Convex Combination of Semantic Embeddings (2013) (855)
- FastText.zip: Compressing text classification models (2016) (780)
- Context dependent recurrent neural network language model (2012) (583)
- Strategies for training large scale neural network language models (2011) (520)
- Understanding the exploding gradient problem (2012) (509)
- Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets (2015) (371)
- RNNLM - Recurrent Neural Network Language Modeling Toolkit (2011) (337)
- Empirical Evaluation and Combination of Advanced Language Modeling Techniques (2011) (329)
- Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion (2018) (252)
- Learning Longer Memory in Recurrent Neural Networks (2014) (246)
- SUBWORD LANGUAGE MODELING WITH NEURAL NETWORKS (2011) (193)
- Recurrent Neural Network Based Language Modeling in Meeting Recognition (2011) (165)
- Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews (2014) (139)
- A Roadmap Towards Machine Intelligence (2015) (107)
- Learning Simple Algorithms from Examples (2015) (98)
- Neural network based language models for highly inflective languages (2009) (95)
- Efficient Large-Scale Multi-Modal Classification (2018) (78)
- Variational approximation of long-span language models for lvcsr (2011) (65)
- Learning Simpler Language Models with the Differential State Framework (2017) (63)
- Combining Heterogeneous Models for Measuring Relational Similarity (2013) (56)
- Variable Computation in Recurrent Neural Networks (2016) (51)
- Alternative structures for character-level RNNs (2015) (43)
- A Fast Re-scoring Strategy to Capture Long-Distance Dependencies (2011) (41)
- Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system (2010) (35)
- Fast Linear Model for Knowledge Graph Embeddings (2017) (34)
- Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model (2012) (32)
- Advances in phonotactic language recognition (2008) (26)
- PCA-based Feature Extraction for Phonotactic Language Recognition (2010) (25)
- Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response (2020) (22)
- BUT language recognition system for NIST 2007 evaluations (2008) (21)
- CommAI: Evaluating the first steps towards a useful general AI (2017) (14)
- Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment (2019) (10)
- Place Deduplication with Embeddings (2019) (9)
- Using Neural Networks for Modeling and Representing Natural Languages (2014) (9)
- Improving Supervised Bilingual Mapping of Word Embeddings (2018) (8)
- Evolving Structures in Complex Systems (2019) (8)
- Learning Simpler Language Models with the Delta Recurrent Neural Network Framework (2017) (6)
- Improving language models for ASR using translated in-domain data (2012) (6)
- Color Reduction Using K-Means Clustering Tom á š Mikolov (2007) (5)
- LANGUAGE MODELS FOR AUTOMATIC SPEECH RECOGNITION OF CZECH LECTURES (2008) (5)
- Emergence of Self-Reproducing Metabolisms as Recursive Algorithms in an Artificial Chemistry (2021) (4)
- Classification of Complex Systems Based on Transients (2020) (3)
- Combinatory Chemistry: Towards a Simple Model of Emergent Evolution (2020) (1)
- Class-Agnostic Continual Learning of Alternating Languages and Domains (2020) (1)
- Visualizing computation in large-scale cellular automata (2020) (1)
- Recurrent Neural Networks (2015) (0)
- Emergence of Novelty in Evolutionary Algorithms (2022) (0)
- Task-agnostic Continual Learning via Growing Long-Term Memory Networks (2019) (0)
- 40 53 v 2 [ cs . C L ] 2 2 M ay 2 01 4 Distributed Representations of Sentences and Documents (2018) (0)
- Language Modeling and Artificial Intelligence (2021) (0)
- A ug 2 01 6 Bag of Tricks for Efficient Text Classification (2018) (0)
- Introducing Encoder-Decoder Relation between Cellular Automata to Uncover Their Computational Structure (2022) (0)
- Preserving Semantics in Textual Adversarial Attacks (2022) (0)
- C L ] 2 8 M ar 2 01 8 Learning Word Vectors for 157 Languages (2018) (0)
- Classification of Discrete Dynamical Systems Based on Transients (2021) (0)
- Computational Hierarchy of Elementary Cellular Automata (2021) (0)
- LANGUAGE MODELING OF CZECH USING NEURAL NETWORKS (2007) (0)
- Modelování jazyka v rozpoznávání češtiny (2007) (0)
- Benchmarking Learning Efficiency in Deep Reservoir Computing (2022) (0)
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What Schools Are Affiliated With Tomáš Mikolov?
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