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 |