Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 990 | 2024 |
Tuning support vector machines for biomedical named entity recognition T Makino, Y Ohta, J Tsujii Proceedings of the ACL-02 workshop on Natural language processing in the …, 2002 | 389 | 2002 |
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition T Makino, H Liao, Y Assael, B Shillingford, B Garcia, O Braga, O Siohan IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019), 2019 | 178 | 2019 |
A discrete-event neural network simulator for general neuron models T Makino Neural Computing & Applications 11, 210-223, 2003 | 71 | 2003 |
Cultural neuroeconomics of intertemporal choice T Takahashi, T Hadzibeganovic, S Cannas, T Makino, H Fukui, ... | 61 | 2009 |
これからの強化学習 牧野貴樹, 澁谷長史, 白川真一, 浅田稔, 麻生英樹, 荒井幸代, 飯間等, ... 森北出版, 2016 | 58* | 2016 |
LiLFeS-towards a practical HPSG parser T Makino, M Yoshida, K Torisawa, J Tsujii COLING 1998 Volume 2: The 17th International Conference on Computational …, 1998 | 53 | 1998 |
Apprenticeship learning for model parameters of partially observable environments T Makino, J Takeuchi arXiv preprint arXiv:1206.6484, 2012 | 32 | 2012 |
Multi-agent reinforcement learning algorithm to handle beliefs of other agents' policies and embedded beliefs T Makino, K Aihara Proceedings of the fifth international joint conference on Autonomous agents …, 2006 | 26 | 2006 |
Self-observation principle for estimating the other’s internal state: A new computational theory of communication T Makino, K Aihara Mathematical engineering technical reportsMETR 36, 2003 | 25 | 2003 |
Finding more mobile-friendly search results T Makino, C Jung, D Phan Google Webmaster Central Blog–26.02. 2015.-Mode of access: WWW/URL: https …, 2015 | 24 | 2015 |
Neuroeconomics of psychopathy: Risk taking in probability discounting of gain and loss predicts psychopathy T Takahashi, H Takagishi, H Nishinaka, T Makino, H Fukui Neuroendocrinology Letters 35 (6), 510-517, 2014 | 23 | 2014 |
The LiLFeS abstract machine and its evaluation with the LinGO grammar Y Miyao, T Makino, K Torisawa, J Tsujii Natural Language Engineering 6 (1), 47-61, 2000 | 23 | 2000 |
Robust generation of dynamical patterns in human motion by a deep belief nets S Sukhbaatar, T Makino, K Aihara, T Chikayama Asian conference on machine learning, 231-246, 2011 | 22 | 2011 |
Rigorous estimates of quantization error for A/D converters based on beta-map T Makino, Y Iwata, K Shinohara, Y Jitsumatsu, M Hotta, H San, K Aihara Nonlinear Theory and Its Applications, IEICE 6 (1), 99-111, 2015 | 20 | 2015 |
End-to-end multi-person audio/visual automatic speech recognition O Braga, T Makino, O Siohan, H Liao ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
On-line discovery of temporal-difference networks T Makino, T Takagi Proceedings of the 25th international conference on Machine learning, 632-639, 2008 | 18 | 2008 |
LiLFeS-practical programming language for typed feature structures TMKTJ Tsujii Natural Language Pacific Rim Symposium'97, 1997 | 14 | 1997 |
Pseudo-orthogonalization of memory patterns for associative memory M Oku, T Makino, K Aihara IEEE transactions on neural networks and learning systems 24 (11), 1877-1887, 2013 | 11 | 2013 |
チャットのための日本語形態素解析 風間淳一, 光石豊, 牧野貴樹, 鳥澤健太郎, 松田晃一, 辻井潤一 言語処理学会第 5 回年次大会発表論文集, 509-512, 1999 | 11* | 1999 |