Result for "Transfer Learning",169
Research on Transfer Learning to Give AI the Same Versatility and Skill as Humans｜NTT R&D Website
Research on Transfer Learning to Give AI the Same Versatility and Skill as Humans｜NTT R&D Website
https://www.rd.ntt/e/research/RDNTT20211001.html
Atsutoshi Kumagai | NTT R&D Website
belonging to the lab/center/dept Machine Learning for Knowledge Transfer We aim to develop machine learning
https://www.rd.ntt/e/organization/researcher/special/s_056.html
C06-e.pdf
in data transfer performance, which is a problem in AI learning in a distributed environment. #C06 As
https://www.rd.ntt/forum/2025/doc/C06-e.pdf
NTT Communication Science Laboratories Open House 2020
Exhibition Download Contact Home / Exhibition Program Exhibition Program Science of Machine Learning 04 Fast
https://www.rd.ntt/cs/event/openhouse/2020/exhibition4/index_en.html
G03-01-e.pdf
-01 Motor-skill transfer: Movement support via brainwaves You can control devices such as wheelchairs
https://www.rd.ntt/forum/2024/doc/G03-01-e.pdf
E37_leaf_e.pdf
coordination control mechanism in the spinal cord. It is expected that the model will enable learning of muscle
https://www.rd.ntt/forum/2023/doc/E37_leaf_e.pdf
D01-10-e.pdf
LLMs. • Advanced AI algorithms such as transfer learning and federated learning. • Solutions can be
https://www.rd.ntt/forum/2024/doc/D01-10-e.pdf
Efforts Concerning Enhancement of Human Ability to Achieve the Remote World | NTT R&D Website
augmentation motor-skill-transfer technology embodied-knowledge technology To achieve the Remote World for
https://www.rd.ntt/e/research/JN202209_19519.html
iChie: Speeding up Data Collaboration between Companies | NTT R&D Website
functions: Data-transfer control based on network characteristics Mandatory application of privacy policy to
https://www.rd.ntt/e/research/JN20191123_h.html
Cybernetics | NTT R&D Website
human capabilities by making it possible to transfer skills independent of time and place. We are
https://www.rd.ntt/e/hil/category/cybernetics/
Marc Delcroix | NTT R&D Website
understanding natural human conversations by combining signal processing and deep learning. In this page Awards
https://www.rd.ntt/e/organization/researcher/special/s_033.html
NTT Communication Science Laboratories Open House 2020 Exhibition
Exhibition Program Science of Machine Learning People of the WWW, give us your computation each! Generating
https://www.rd.ntt/cs/event/openhouse/2020/exhibition_en.html
Real-Time Monitoring of Neural Activity in the Brain
efficient functions including transfer, storage and other forms of processing of a large quantity of
https://www.rd.ntt/e/brl/result/activities/file/report00/E/report07_e.html
スライド 1
Transfer anomaly detection for unseen datasets We propose a method to improve the anomaly detection
https://www.rd.ntt/cs/event/openhouse/2020/download/a_04_en.pdf
頑健な半教師あり学習法と自然言語処理への応用
semi-supervised classification method for transfer learning,” Proc. of the 19th ACM International
https://www.rd.ntt/cs/event/openhouse/2012/panel/panel_4.pdf
Motor-skill-transfer technology | NTT R&D Website
Motor-skill-transfer technology | NTT R&D Website NTT R&D Website NTT Human Informatics
https://www.rd.ntt/e/hil/category/cybernetics/motorskilltransfer/
0053.pdf
separation (BSS)[4] is a possible candidate for multi-channel noise cancellation. However, the learning of a
https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0053.pdf
0141.pdf
following sections. Below, matrix X and transfer function matrix X(z) = ΣτXτ z−τare M×N matrices. X can be
https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0141.pdf
poster_en_23.pdf
textures, we will be able not only to transfer the content of a sound but also to manipulate its fine
https://www.rd.ntt/cs/event/openhouse/2017/exhibition/23/poster_en_23.pdf
Hideki Yamamoto - Senior distinguished researcher
learning techniques (process informatics). （Latest update：Apr. 9th, 2026） Representative research
https://www.rd.ntt/brl/people/hideki/E/