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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 56  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2025-03-13
12:30
Okinawa Miyakojima City Central Community Center (Okinawa) Proposal of an Efficient Optimization Method Using Search Space Split-CMAES
Tenma Yamada, Kenya Jin'no (TCU)
 [more]
NLP, MSS 2025-03-14
15:15
Okinawa Miyakojima City Central Community Center (Okinawa) New Possibilities for Associative Memory in Neural Networks: Verification Using a Large-Scale Model of the Saito-Jinno Learning Method
Kenya Jin'no (Tokyo City Univ.)
 [more]
CCS 2024-11-12
16:15
Miyagi Tohoku University (Miyagi) Changes in class manifold dimension and its role in each layer of the CNN
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) CCS2024-48
 [more] CCS2024-48
pp.31-34
NLP, CAS 2024-10-17
13:40
Tottori Information Center, Tottori University (Tottori) Investigating High Image Quality of Generated Images and Iterative Generation of Fractal Images Using U-Net
Saki Okamoto, Kenya Jin'no (Tokyo City Univ.) CAS2024-36 NLP2024-66
In recent years, convolutional neural networks (CNNs) have been widely used in fields such as generative AI and facial r... [more] CAS2024-36 NLP2024-66
pp.48-51
NLP, CAS 2024-10-17
14:00
Tottori Information Center, Tottori University (Tottori) Consideration of incremental learning in the latent variable space
Chika Obata, Kenya Jin'no (Tokyo City Univ.) CAS2024-37 NLP2024-67
In this article, we examine the methods and problems of incremental learning in classifying deep learning models.
In co... [more]
CAS2024-37 NLP2024-67
pp.52-57
IN, CCS
(Joint)
2024-07-30
10:45
Hokkaido Moerenuma Park Glass Pyramid (Hokkaido) Visual comparison and examination of how natural language processing models capture color information in latent space
Masato Izumi, Kenya jin'no (Tokyo City Univ) CCS2024-36
The purpose of this study is to visually compare how different natural language processing (NLP) models with varying arc... [more] CCS2024-36
pp.44-47
IN, CCS
(Joint)
2024-07-30
11:10
Hokkaido Moerenuma Park Glass Pyramid (Hokkaido) The impact of each layer of feature extractors on class separability
Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) CCS2024-37
There is a method called Network Architecture Search (NAS) that automatically explores the optimal structure of neural n... [more] CCS2024-37
pp.48-51
IN, CCS
(Joint)
2024-07-30
11:35
Hokkaido Moerenuma Park Glass Pyramid (Hokkaido) Insights on the Success Factors of Image Recognition Models Using Reapplication Techniques
Sora Togawa, Kenya Jin'no (TCU) CCS2024-38
 [more] CCS2024-38
pp.52-55
IN, CCS
(Joint)
2024-07-30
12:00
Hokkaido Moerenuma Park Glass Pyramid (Hokkaido) Investigation of Feature Maps Influencing Class Identification in Image Classification Model
Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) CCS2024-39
In recent years, the performance of image recognition based on deep learning has rapidly improved and is being applied i... [more] CCS2024-39
pp.56-59
NLP, CCS 2024-06-07
10:20
Fukuoka West Japan General Exhibition Center AIM (Fukuoka) Investigating the latent variable space of different natural language processing architectures with generative images
Masato Izumi, Kenya Jin'no (Tokyo City Univ) NLP2024-31 CCS2024-18
In recent years, AI technologies, particularly natural language processing (NLP) models, have evolved rapidly. However, ... [more] NLP2024-31 CCS2024-18
pp.74-77
NLP, CCS 2024-06-07
14:30
Fukuoka West Japan General Exhibition Center AIM (Fukuoka) Distributional properties of latent variables for deep learning classifiers
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2024-37 CCS2024-24
 [more] NLP2024-37 CCS2024-24
pp.105-108
NLP, CCS 2024-06-07
15:55
Fukuoka West Japan General Exhibition Center AIM (Fukuoka) Influence of Parameters in Hysteresis Reservoir Computing
Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.) NLP2024-40 CCS2024-27
Reservoir computing(RC) can achieve larger storage capacity and higher expressiveness by appropriately designing the int... [more] NLP2024-40 CCS2024-27
pp.117-120
NLP 2024-05-10
10:55
Kagawa Kagawa Prefecture Social Welfare Center (Kagawa) Analysis of the role of latent variables in image classification in deep learning models
Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.) NLP2024-12
Deep learning-based image classification represents a significant advancement in enabling computers to identify the cont... [more] NLP2024-12
pp.58-62
NLP, MSS 2024-03-14
15:15
Misc. Kikai-Shinko-Kaikan Bldg. (Misc.) Zero-shot class separation degree of the feature extractor
Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) MSS2023-95 NLP2023-147
Network Architecture Search (NAS) is a method to automatically search for the optimal structure of a neural network. Sin... [more] MSS2023-95 NLP2023-147
pp.115-118
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
09:00
Tokushima Naruto University of Education (Tokushima) The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance
Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] NLP2023-99 MICT2023-54 MBE2023-45
pp.78-81
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
10:50
Tokushima Naruto University of Education (Tokushima) Analysis of CNN Feature Extraction with Emphasis on Frequency Domain
Sora Togawa, Kenya Jin'no (Tokyo City Univ.) NLP2023-104 MICT2023-59 MBE2023-50
 [more] NLP2023-104 MICT2023-59 MBE2023-50
pp.98-101
NLP 2023-11-28
10:50
Okinawa Nago city commerce and industry association (Okinawa) Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model
Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] NLP2023-61
pp.11-14
NLP 2023-11-28
13:50
Okinawa Nago city commerce and industry association (Okinawa) Considerations on the distribution of latent variables in CNNs
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] NLP2023-65
pp.31-34
NLP, CAS 2023-10-06
16:20
Gifu Work plaza Gifu (Gifu) Investigating the Learning Performance of Hysteresis Reservoir Computing
Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.) CAS2023-46 NLP2023-45
Reservoir computing can acquire larger memory capacity and higher expressive power by properly designing the internal st... [more] CAS2023-46 NLP2023-45
pp.70-73
NLP 2023-05-13
13:25
Fukushima Kenshin Koriyama Cultural Center (Koriyama, Fukushima) (Fukushima) Fundamental Considerations in Representation Learning for Multimodal Processing
Kenya Jin'no, Masato Izumi, Saki Okamoto, Tatsuro Inami, Mizuki Dai, Chisato Takahashi (Tokyo City Univ.) NLP2023-6
 [more] NLP2023-6
pp.23-28
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