Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-20 15:50 |
Okinawa |
OIST |
Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.) |
(To be available after the conference date) [more] |
|
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-22 11:15 |
Okinawa |
OIST |
Oscillation-driven reservoir computing for long-term timing/chaotic time-series prediction Yuji Kawai (Osaka Univ.), Takashi Morita (Chubu Univ.), Park Jihoon (NICT/Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./NICT/Chubu Univ.) |
(To be available after the conference date) [more] |
|
CPSY, DC, RECONF, IPSJ-ARC [detail] |
2024-06-11 10:45 |
Yamanashi |
Isawa View Hotel (Primary: On-site, Secondary: Online) |
Fault classification and prediction of AI accelerators based on activation maximization Ma Shanmou, Kazuteru Namba (Chiba Univ.) |
(To be available after the conference date) [more] |
|
NLP, CCS |
2024-06-06 09:55 |
Fukuoka |
West Japan General Exhibition Center AIM |
Training approaches for photonic reservoir computing circuits Keigo Takabayashi, Ryota Nakayama, Takeo Maruyama, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) |
(To be available after the conference date) [more] |
|
NLP, CCS |
2024-06-06 10:20 |
Fukuoka |
West Japan General Exhibition Center AIM |
The Relationship between Power Laws in Neural Representation and Image Recognition Riku Matsumoto, Yasuhiro Tsuno (Ritsumeikan Univ.) |
(To be available after the conference date) [more] |
|
NS, PN, OCS (Joint) |
2024-06-06 10:50 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Experimental Demonstration of Adaptive Symbol Decision to Mitigate Transmitter Impairments Taisei Sekizuka, Takuma Kuno, Reiji Higuchi, Takuro Ochiai, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ) |
(To be available after the conference date) [more] |
|
NLP, CCS |
2024-06-06 16:45 |
Fukuoka |
West Japan General Exhibition Center AIM |
Hierarchical lossless depth image compression based on depth map colorization by cellular neural networks Tasuku Kuroda, Seiya Kushi, Shungo Saizuka (Chukyo Univ), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ) |
(To be available after the conference date) [more] |
|
NLP, CCS |
2024-06-07 09:55 |
Fukuoka |
West Japan General Exhibition Center AIM |
Detection of paroxysmal atrial fibrillation using machine learning Tatsuki Saji, Hiroyuki Kitajima (Kagawa Univ.) |
(To be available after the conference date) [more] |
|
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] |
2024-06-07 10:55 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Price Prediction of Handmade Items using Multimodal Data Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo) |
(To be available after the conference date) [more] |
|
PRMU, IPSJ-CVIM |
2024-05-16 09:45 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Development and evaluation of a video segmentation model using differences between frames Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ) PRMU2024-3 |
Automatic Video Object Segmentation (AVOS) involves the extraction of target objects in videos autonomously, without hu... [more] |
PRMU2024-3 pp.13-17 |
NLP |
2024-05-10 10:30 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Federated Learning Algorithms based on Decentralized Spanning Tree Generation and Step-by-Step Consensus Yuki Mori, Tatsuya Kayatani, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2024-11 |
A large amount of high-quality data is necessary to improve the learning accuracy of neural networks. However, there are... [more] |
NLP2024-11 pp.52-57 |
NLP |
2024-05-10 11:20 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Lossless Color Image Compression Based on Colorization by Cellular Neural Networks Shungo Saizuka, Seiya Kushi, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2024-13 |
Colorization is the process that restores colors on a grayscale image.
Recently, various colorization-based encoding me... [more] |
NLP2024-13 pp.63-67 |
CCS |
2024-03-27 13:00 |
Hokkaido |
RUSUTSU RESORT |
Training of Encoder-Decoder models and its application towards edge computing Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42 |
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] |
CCS2023-42 pp.18-23 |
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 |
ICSS, IPSJ-SPT |
2024-03-22 10:55 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Improved signature-embedding techniques against backdoor attacks on DNN models Akira Fujimoto, Yuntao Wang, Atsuko Miyaji (OU) ICSS2023-87 |
In recent years, machine learning, particularly deep learning, has made remarkable strides, and has great impact on our ... [more] |
ICSS2023-87 pp.129-136 |
ICSS, IPSJ-SPT |
2024-03-22 14:55 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Adversarial Examples with Missing Perturbation Using Laser Irradiation Daisuke Kosuge, Hayato Watanabe, Taiga Manabe, Yoshihisa Takayama, Toshihiro Ohigashi (Tokai Univ.) ICSS2023-97 |
In recent years, neural networks have made remarkable progress in the field of image processing and other areas, and the... [more] |
ICSS2023-97 pp.201-207 |
AP |
2024-03-14 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
Direction of arrival estimation using neural networks and Uniform Cross Array for LoS-MIMO transmission Motoshi Tawada, Yoshichika Ohta (SoftBank) AP2023-202 |
The feeder link between the fixed ground station and the HAPS requires high capacity to accommodate the traffic of termi... [more] |
AP2023-202 pp.7-10 |
AP |
2024-03-15 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] |
AP2023-212 pp.63-67 |
CAS, CS |
2024-03-15 14:45 |
Okinawa |
|
Exploring Uniform Convergence in Neural Networks and its Implication on Generalization Error Zong Xianzhe, Hiroshi Tamura (CHUO Univ.) CAS2023-135 CS2023-128 |
Uniform Convergence, a well-established framework for evaluating generalization in traditional Machine Learning, frequen... [more] |
CAS2023-135 CS2023-128 pp.134-139 |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Construction of an MDL Estimator with Tight Risk Bound in Simple ReLU Networks Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116 |
We consider the problem of estimating the parameters of the final layer in two-layer neural networks with ReLU activatio... [more] |
IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116 pp.368-373 |