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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1614  /  [Next]  
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
 Results 1 - 20 of 1614  /  [Next]  
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