| Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t. A Gladkova, A Drozd, S Matsuoka Proceedings of the NAACL Student Research Workshop, 8-15, 2016 | 194 | 2016 |
| Word embeddings, analogies, and machine learning: Beyond king-man+ woman= queen A Drozd, A Gladkova, S Matsuoka Proceedings of coling 2016, the 26th international conference on …, 2016 | 138 | 2016 |
| Intrinsic evaluations of word embeddings: What can we do better? A Gladkova, A Drozd Proceedings of the 1st Workshop on Evaluating Vector-Space Representations …, 2016 | 95 | 2016 |
| The (too many) problems of analogical reasoning with word vectors A Rogers, A Drozd, B Li Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017 | 73 | 2017 |
| Scaling word2vec on big corpus B Li, A Drozd, Y Guo, T Liu, S Matsuoka, X Du Data Science and Engineering 4 (2), 157-175, 2019 | 46 | 2019 |
| Investigating different syntactic context types and context representations for learning word embeddings B Li, T Liu, Z Zhao, B Tang, A Drozd, A Rogers, X Du Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 39 | 2017 |
| Subword-level composition functions for learning word embeddings B Li, A Drozd, T Liu, X Du Proceedings of the second workshop on subword/character level models, 38-48, 2018 | 25 | 2018 |
| Matrix engines for high performance computing: A paragon of performance or grasping at straws? J Domke, E Vatai, A Drozd, P ChenT, Y Oyama, L Zhang, S Salaria, ... 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 14 | 2021 |
| Migrating legacy Fortran to Python while retaining Fortran-level performance through transpilation and type hints M Bysiek, A Drozd, S Matsuoka 2016 6th Workshop on Python for High-Performance and Scientific Computing …, 2016 | 14 | 2016 |
| Subcharacter information in Japanese embeddings: When is it worth it? M Karpinska, B Li, A Rogers, A Drozd Proceedings of the Workshop on the Relevance of Linguistic Structure in …, 2018 | 13 | 2018 |
| GPU-accelerated large-scale distributed sorting coping with device memory capacity H Shamoto, K Shirahata, A Drozd, H Sato, S Matsuoka IEEE Transactions on Big Data 2 (1), 57-69, 2016 | 13 | 2016 |
| Scaling distributed deep learning workloads beyond the memory capacity with KARMA M Wahib, H Zhang, TT Nguyen, A Drozd, J Domke, L Zhang, R Takano, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 11 | 2020 |
| A multi GPU read alignment algorithm with model-based performance optimization A Drozd, N Maruyama, S Matsuoka International Conference on High Performance Computing for Computational …, 2012 | 9 | 2012 |
| A multi GPU read alignment algorithm with model-based performance optimization A Drozd, N Maruyama, S Matsuoka International Conference on High Performance Computing for Computational …, 2012 | 9 | 2012 |
| Large-scale distributed sorting for GPU-based heterogeneous supercomputers H Shamoto, K Shirahata, A Drozd, H Sato, S Matsuoka 2014 IEEE International Conference on Big Data (Big Data), 510-518, 2014 | 8 | 2014 |
| Python, performance, and natural language processing A Drozd, A Gladkova, S Matsuoka Proceedings of the 5th Workshop on Python for High-Performance and …, 2015 | 7 | 2015 |
| Discovering aspectual classes of Russian verbs in untagged large corpora A Drozd, A Gladkova, S Matsuoka 2015 IEEE international conference on data science and data intensive …, 2015 | 6 | 2015 |
| MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems S Farrell, M Emani, J Balma, L Drescher, A Drozd, A Fink, G Fox, D Kanter, ... 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 5 | 2021 |
| Predicting performance using collaborative filtering S Salaria, A Drozd, A Podobas, S Matsuoka 2018 IEEE International Conference on Cluster Computing (CLUSTER), 504-514, 2018 | 4 | 2018 |
| Critical mass in the emergence of collective intelligence: a parallelized simulation of swarms in noisy environments A Drozd, O Witkowski, S Matsuoka, T Ikegami Artificial Life and Robotics 21 (3), 317-323, 2016 | 4 | 2016 |
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at acm.org
