IEICE Technical Committee

Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2022/06/27)

Presentation

Cost-effective Framework for Gradual Domain Adaptation with Multifidelity

Shogo Sagawa(SOKENDAI), Hideitsu Hino(ISM/RIKEN),

[Date]2022-06-27
[Paper #]NC2022-7,IBISML2022-7

Evaluating and Enhancing Reliabilities of AI-Powered Tools

Jingfeng Zhang(RIKEN-AIP),

[Date]2022-06-27
[Paper #]NC2022-4,IBISML2022-4

Transformer-Based Fully Trainable Model for Point Process with Past Sequence-Representative Vector

Fumiya Nishizawa(Graduate School of System Engineering, Wakayama University), Sujun Hong(Graduate School of System Engineering, Wakayama University), Hirotaka Hachiya(Graduate School of System Engineering, Wakayama University),

[Date]2022-06-27
[Paper #]NC2022-1,IBISML2022-1

Relaxing the Requirement for Decomposition of the Fisher Information Matrix for Simple Softplus Neural Networks

Masazumi Iida(Kyushu Univ.), Yoshinari Takeishi(Kyushu Univ.), Jun'ichi Takeuchi(Kyushu Univ.),

[Date]2022-06-27
[Paper #]NC2022-6,IBISML2022-6

AI knowledge forgetting based on the importance of model parameters

Tomoya Yamashita(NTT), Masanori Yamada(NTT),

[Date]2022-06-27
[Paper #]NC2022-3,IBISML2022-3

A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search

Rion Hada(Osaka Univ.), Masao Okita(Osaka Univ.), Fumihiko Ino(Osaka Univ.),

[Date]2022-06-27
[Paper #]NC2022-2,IBISML2022-2

Additive Cumulative Link Model with Total Variation Regularization

Hiroya Iyori(Univ. of Tokyo), Shin Matsushima(Univ. of Tokyo),

[Date]2022-06-27
[Paper #]NC2022-8,IBISML2022-8

射影法を用いて系の第一積分を発見し保存するNeural ODE

Takashi Matsubara(Osaka Univ.), Takaharu Yaguchi(Kobe Univ.),

[Date]2022-06-27
[Paper #]NC2022-5,IBISML2022-5

Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models

Takashi Takekawa(Kogakuin Univ.),

[Date]2022-06-27
[Paper #]NC2022-9,IBISML2022-9

Inside the Ventricle System Immune Cell Network Hypothesis for Language Processing and Intelligence

Kumon Tokumaru(Researcher),

[Date]2022-06-28
[Paper #]NC2022-10,IBISML2022-10

On DC Relaxation of Information-directed Sampling in Combinatorial Multi-armed Bandit Problem

Junta Fujinaga(Kyoto Univ.), Taira Tsuchiya(Kyoto Univ./RIKEN), Junya Honda(Kyoto Univ./RIKEN),

[Date]2022-06-28
[Paper #]NC2022-18,IBISML2022-18

Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning

Daiki Suehiro(Kyushu Univ./RIKEN AIP), Eiji Takimoto(Kyushu Univ.),

[Date]2022-06-28
[Paper #]NC2022-24,IBISML2022-24

Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search

Kota Misaki(UTokyo), Shin Matsushima(UTokyo),

[Date]2022-06-28
[Paper #]NC2022-20,IBISML2022-20

Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling

Tatsuya Kai(Tokyo Univ. of Science), Kazuki Fukawa(DENSO),

[Date]2022-06-28
[Paper #]NC2022-14,IBISML2022-14

Extending HSIC for Testing Conditional Independence

Bingyuan Zhang(Osaka Univ.), Joe Suzuki(Osaka Univ.),

[Date]2022-06-28
[Paper #]NC2022-23,IBISML2022-23

Feature selection in prediction model by LiNGAM

Taiyu Sumida(Kogakuin Univ.), Takashi Takekawa(Kogakuin Univ.),

[Date]2022-06-28
[Paper #]NC2022-17,IBISML2022-17

[Short Paper] A Pseudo Node Based Graph Convolution Network for Emotion Perception from Gait

Shurong Chai(Ritsumeikan University), Jiaqing Liu(Ritsumeikan University), Tateyama Tomoko(Fujita Health University), LanFen Lin(Zheda), Yen-Wei Chen(Ritsumeikan University),

[Date]2022-06-28
[Paper #]NC2022-13,IBISML2022-13

A Novel Analytical Method for Continual Learning Based on the Ease of Classification in Representation Spaces

Kengo Murata(Aoyama Gakuin Univ.), Seiya Ito(Aoyama Gakuin Univ.), Kouzou Ohara(Aoyama Gakuin Univ.),

[Date]2022-06-28
[Paper #]NC2022-11,IBISML2022-11

Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle

Masatoshi Kobayashi(Todai), Nishimoto Hiroki(Todai), Shin Mastushima(Todai),

[Date]2022-06-28
[Paper #]NC2022-21,IBISML2022-21

Refrigerant leak detection of air conditioner by deep learning

Shinya Komure(TCC), Yasuyuki Isobe(TDSL), Morio Hirahara(TCC), Kiguchi Yukio(TCC),

[Date]2022-06-28
[Paper #]NC2022-15,IBISML2022-15