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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2024-05-15
13:45
Tokyo
(Primary: On-site, Secondary: Online)
Fine-tuning Large Language Models for Automatic Font Skeleton Generation: A First Attempt
Yuxuan Liu (Tokyo Tech), Yasuhisa Fujii (Google Research), Xinru Zhu, Kayoko Nohara (Tokyo Tech)
 [more]
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
15:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
[Invited Talk] --
Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94
Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generati... [more] PRMU2022-87 IBISML2022-94
p.149
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
13:45
Okinawa
(Primary: On-site, Secondary: Online)
[Invited Talk] Speech and Language Research in the Google Tokyo Office
Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the ac... [more] EA2022-116 SIP2022-160 SP2022-80
pp.239-240
SP, IPSJ-SLP
(Joint)
2019-07-20
10:15
Niigata FURINYA(Tsukioka-Onsen, Niigata) [Invited Talk] Recent Developments in Neural Automatic Speech Recognition and Future Outlook
Yotaro Kubo (Google) SP2019-6
 [more] SP2019-6
p.1
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-07
10:30
Hiroshima Satellite Campus Hiroshima [Keynote Address] Tensor Processing Unit: A processor for neural network designed by Google
Kazunori Sato (Google)
 [more]
SIP 2018-08-21
11:00
Tokyo Takushoku Univ. Bunkyo Campus. [Invited Talk] Easy to understand Android Things and AIY Projects -- Introduction to Development of IoT/AI Applications --
Johan Euphrosine (Google Japan)
 [more]
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-12
15:05
Hokkaido Hakodate Arena [Tutorial Lecture] Reinforcement Learning: Application and Issues
Takaki Makino (Google) RCC2018-51 NS2018-68 RCS2018-113 SR2018-48 ASN2018-45
Reinforcement learning is a machine learning framework that learns best sequence of actions through trial-and-error in d... [more] RCC2018-51 NS2018-68 RCS2018-113 SR2018-48 ASN2018-45
p.119(RCC), p.151(NS), p.161(RCS), p.129(SR), p.135(ASN)
SWIM 2016-05-20
14:20
Tokyo Kikai-Shinko-Kaikan Bldg. [Special Talk] *
Kohei Yoshimura (google)
 [more]
QIT
(2nd)
2015-05-25
11:20
Osaka Osaka University Clustering by using quantum annealing
Shu Tanaka (Waseda Univ.), Issei Sato (Univ. of Tokyo), Kenichi Kurihara (Google), Seiji Miyashita, Hiroshi Nakagawa (Univ. of Tokyo)
 [more]
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-15
14:00
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) [Invited Talk] Statistical approach to flexible speech synthesis -- towards human-like talking machines --
Keiichi Tokuda (NITech/Google) SP2014-109
This talk will give an overview of statistical approach to
flexible speech synthesis. For constructing human-like
tal... [more]
SP2014-109
p.31
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Global Solvers for Variational Bayesian Low-rank Subspace Clustering
Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37
Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning,
is generally per... [more]
IBISML2013-37
pp.7-14
CPSY 2013-11-08
13:00
Hiroshima   [Invited Talk] Massively Parallel Query Service on Google Cloud Platform
Kazunori Sato (Google) CPSY2013-47
 [more] CPSY2013-47
p.49
NLC 2012-12-19
13:20
Tokyo Ookayama Campasu, Tokyo Institute of Technology [Invited Talk] Design for Practical Application on Natural Language Processing
Taku Kudo (Google Inc.)
(Advance abstract in Japanese is available) [more]
IBISML 2011-06-21
11:00
Tokyo Takeda Hall Quantum annealing for Infinite Mixture Models
Issei Sato (Tokyo Univ.), Kenichi Kurihara (Google), Shu Tanaka, Seiji Miyashita, Hiroshi Nakagawa (Tokyo Univ.) IBISML2011-16
We develope quantum annealing (QA) for the infinite mixture models.
The QA is regarded as a parallelized extension of s... [more]
IBISML2011-16
pp.111-117
 Results 1 - 14 of 14  /   
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