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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2024-03-27 14:00 |
Hokkaido | RUSUTSU RESORT | Evaluation of recurrent neural network training using multi-phase quantization optimizer Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.)  CCS2023-44 |
In this research, we apply "Holmes", an optimizer dedicated to edge training of neural networks, to recurrent neural net... [more] | CCS2023-44 pp.30-35 |
| EMM | 2024-03-02 16:20 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Fellow Memorial Lecture]
Application of associative memory models to watermarking models Masaki Kawamura (Yamaguchi Univ.) EMM2023-93 |
We proposed a new method called the associative watermarking method, which is an extension of the zero-watermarking meth... [more] | EMM2023-93 pp.23-27 |
| NC, MBE (Joint) |
2023-10-27 14:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Adaptive motion generation for a redundant robot arm using an echo state network Hiroshi Atsuta, Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-28 |
Teaching playback is a convenient method to instruct robots how to move. However, this method has an issue of excessive ... [more] | NC2023-28 pp.17-22 |
| NC, MBE (Joint) |
2023-10-28 11:35 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Lightweight modular reservoir computing with the Bernoulli weight distribution Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-31 |
A modular reservoir computing, namely reservoir of basal dynamics (reBASICS), has been proposed for time series learning... [more] | NC2023-31 pp.25-30 |
| SIS, ITE-BCT | 2023-10-13 09:30 |
Yamaguchi | HISTORIA UBE (Primary: On-site, Secondary: Online) |
[Invited Talk]
In-sensor Material reservoir computing devices including tactile computing devices for robot applications Hirofumi Tanaka (Kyutech) SIS2023-20 |
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more] | SIS2023-20 pp.25-28 |
| CCS, NLP | 2023-06-09 10:45 |
Tokyo | Tokyo City Univ. | Analysis and synthesis of dynamic binary neural networks: a short review Toshimichi Saito, Mikito Onuki (HU) NLP2023-20 CCS2023-8 |
Discrete-time recurrent neural networks are dynamical systems characterized by nonlinear activation functions and connec... [more] | NLP2023-20 CCS2023-8 pp.31-34 |
| AP | 2023-05-12 10:00 |
Okinawa | Okinawa Gender Equality Center (Primary: On-site, Secondary: Online) |
A Study on Radio Propagation Modeling using RNN-Encoder with Variable-Size Map Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2023-17 |
For efficient evaluation of the performance of wireless systems in physical space, wireless emulation techniques in virt... [more] | AP2023-17 pp.48-53 |
| NC, MBE (Joint) |
2023-03-14 09:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method Daichi Sugiyama, Hiroki Kurashige (Tokai Univ.) NC2022-99 |
Humans and animals can learn multiple tasks. It is common that learning to learn tasks sequentially. However, it is not ... [more] | NC2022-99 pp.42-47 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Scheduled Sampling for Neural Transducer-based ASR Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura (NTT) EA2022-100 SIP2022-144 SP2022-64 |
In this paper, we propose scheduled sampling approaches suited for the recurrent neural network-transducer (RNNT) that i... [more] | EA2022-100 SIP2022-144 SP2022-64 pp.147-152 |
| R | 2022-10-07 14:50 |
Fukuoka | (Primary: On-site, Secondary: Online) |
A Note on A Transformer Encoder-Based Malware Classification Using API Calls Chen Li (Kyutech), Junjun Zheng (Osaka Univ.) R2022-36 |
Malware is a major security threat to computer systems and significantly impacts system reliability. Recurrent neural ne... [more] | R2022-36 pp.25-30 |
| SS, IPSJ-SE, KBSE [detail] | 2022-07-29 13:25 |
Hokkaido | Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
Fault Localization for RNNs Based on Probabilistic Automata and n-grams Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2022-10 KBSE2022-20 |
If deep learning models misbehave, serious accidents may occur.Previous studies have proposed approaches to overcome suc... [more] | SS2022-10 KBSE2022-20 pp.55-60 |
| IT | 2022-07-22 10:50 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A study on deep learning-based cyber attack detection Ruei-Fong Hong, Qiangfu Zhao (UoA), Shih-Cheng Horng (CYUT) IT2022-22 |
Cyberattack is a broad term for cybercrime that includes any deliberate attack on a computer device, network or infrastr... [more] | IT2022-22 pp.36-41 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optimization of recurrent neural network structure by controlling symmetry of weight matrix Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.) NC2022-26 IBISML2022-26 |
In this study, we investigated the relationship between the strength of symmetry in a Gaussian random matrix of a recurr... [more] | NC2022-26 IBISML2022-26 pp.184-188 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 15:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Emergence of Dynamical Orthogonal Basis Acquiring Large Memory Capacity in Modular Reservoir Computing Yuji Kawai (Osaka Univ.), Jihoon Park (NICT/Osaka Univ.), Ichiro Tsuda (Chubu Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2022-28 IBISML2022-28 |
The brain's ability to generate complex spatiotemporal patterns with a specific timing is essential for motor learning a... [more] | NC2022-28 IBISML2022-28 pp.193-198 |
| NS, IN (Joint) |
2022-03-10 11:40 |
Online | Online | VNF/CNF migration scheduling based on Encoder-Decoder RNN for cloud native platform Takahiro Hirayama, Masahiro Jibiki, Takaya Miyazawa, Ved P. Kafle (NICT) IN2021-35 |
The 5th generation (5G) or beyond 5G (B5G) mobile networks are required to offer various kinds of services, such as enha... [more] | IN2021-35 pp.25-30 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 10:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Hybrid RNN-T/Attention-based Streaming ASR with Triggered Chunkwise Attention and Dual Internal Language Model Integration Takafumi Moriya, Takanori Ashihara, Atsushi Ando, Hiroshi Sato, Tomohiro Tanaka, Kohei Matsuura, Ryo Masumura, Marc Delcroix (NTT), Takahiro Shinozaki (Tokyo Tech) EA2021-78 SIP2021-105 SP2021-63 |
In this paper we propose improvements to our recently proposed hybrid RNN-T/Attention architecture that includes a share... [more] | EA2021-78 SIP2021-105 SP2021-63 pp.90-95 |
| SAT, SANE (Joint) |
2022-02-24 14:25 |
Online | Online | Study on human detection using beamforming and RNN Isao Matsushima, Takayuki Kitamura, Satoshi Kageme (Mitsubisi Electric) SANE2021-98 |
In this paper, we introduce in-door human detection algorithm using millimeter-wave radar. The algorithm based on recurr... [more] | SANE2021-98 pp.7-11 |
| RCS, SIP, IT | 2022-01-20 15:10 |
Online | Online | [Invited Talk]
Wireless link quality prediction using physical space information in Society 5.0 Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2021-44 SIP2021-52 RCS2021-212 |
Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It i... [more] | IT2021-44 SIP2021-52 RCS2021-212 pp.93-94 |
| NLP | 2021-11-19 15:20 |
Hiroshima | Feature extraction from speech data using leaky echo state network Naoto Kikukawa, Koshiro Onuki, Takaya Miyano (Ritsumeikan Univ.) NLP2021-40 |
(To be available after the conference date) [more] | NLP2021-40 pp.23-26 |
|
| MI, MICT [detail] | 2021-11-05 15:30 |
Online | Online | Respiratory Sound Classification Based on Wavelet Scattering Transform and CRNN Naoki Asatani, Huimin Lu, Tohru Kamiya (KIT), Shingo Mabu (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MICT2021-41 MI2021-39 |
(To be available after the conference date) [more] | MICT2021-41 MI2021-39 pp.62-65 |
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