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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2020-03-05 09:30 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Improving Adversarial Robustness Based on Adversarial Training Consideration Ryota Komiyama, Motonobu Hattori (Univ. of Yamanashi)  NC2019-90 |
Neural networks are used for various tasks because of their high performance. However, it is known that even a high-per... [more] |
NC2019-90 pp.83-88 |
| IBISML | 2020-01-09 13:50 |
Tokyo | ISM | Dimensionality reduction method for gaussian process posteriors based on information geometry Hideaki Ishibashi (Kyutech), Shotaro Akaho (AIST/RIKEN) IBISML2019-20 |
This paper proposes an extension of principal component analysis for gaussian process posteriors which is denoted by GP-... [more] | IBISML2019-20 pp.17-24 |
| HIP | 2019-12-19 14:00 |
Miyagi | RIEC, Tohoku University | Mathematical Representation of Emotion by Combining Recognition and Unification Tasks Using Multimodal Deep Neural Networks Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) HIP2019-65 |
To emulate human emotions in robots, the mathematical representation of emotion is important for all components of affec... [more] | HIP2019-65 pp.1-6 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 17:25 |
Okinawa | Okinawa Institute of Science and Technology | Predicting Demographic Attributes for Individual Viewing Behavior Yusuke Kumagae, Ryoma Yasunaga, Ryo Fujii, Ryo Domoto (Hakuhodo) IBISML2019-10 |
User attribute estimation based on behaviors is an important task in marketing. Previous works have tried to estimate at... [more] | IBISML2019-10 pp.65-71 |
| PRMU | 2018-12-14 10:00 |
Miyagi | Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks Ryo Matsui, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2018-82 |
(To be available after the conference date) [more] | PRMU2018-82 pp.39-44 |
|
| PRMU, BioX | 2018-03-18 11:10 |
Tokyo | Simultaneous Learning Model of Food Image Recognition and Ingrediensts Estimation Koyo Ito, Takao Yamanaka (Sophia Univ.) BioX2017-38 PRMU2017-174 |
In recent years, many health-care applications such as food diary have been developed for smart devices. It is important... [more] | BioX2017-38 PRMU2017-174 pp.13-18 |
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| IBISML | 2018-03-05 17:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information Taira Tsuchiya (Waseda Univ.), Tomoharu Iwata (NTT), Tetsuji Ogawa (Waseda Univ.) IBISML2017-96 |
Matrix factorization is widely used for a variety of fields, such as computer vision, document analysis, signal processi... [more] | IBISML2017-96 pp.41-48 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Multi-Task Learning with Positive and Unlabeled Data and Its Application to Mental State Prediction Hirotaka Kaji, Hayato Yamaguchi (Toyota Motor), Masashi Sugiyama (RIKEN/UTokyo) IBISML2017-66 |
In real-world machine learning applications, we are often faced with a situation where only a small number of training s... [more] | IBISML2017-66 pp.235-242 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 11:25 |
Okinawa | Okinawa Institute of Science and Technology | Cost-sensitive Bayesian optimization for multiple objectives and its application to material science Tomohiro Yonezu (NITech), Tomoyuki Tamura, Ryo Kobayashi (NITech/NIMS), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2017-10 |
We consider solving a set of black-box optimization problems in which each problem has a similar objective function each... [more] | IBISML2017-10 pp.207-213 |
| PRMU, SP | 2017-06-22 15:15 |
Miyagi | Comparisons on Transplant Emotional Expressions in DNN-based TTS Synthesis Katsuki Inoue, Sunao Hara, Masanobu Abe (Okayama Univ.), Nobukatsu Hojo, Yusuke Ijima (NTT) PRMU2017-29 SP2017-5 |
Recent studies have shown that DNN-based speech synthesis can generate more natural synthesized speech than the conventi... [more] | PRMU2017-29 SP2017-5 pp.23-28 |
|
| NLC, TL | 2017-06-10 10:00 |
Tottori | Tottori University | General-Purpose Oriented Extended Named Entity Labeling of Wikipedia Entries Sakae Mizuki, Takeshi Sakaki (HTL) TL2017-9 NLC2017-9 |
In this research, we develop a classification method that assigns fine-grained named entity labels to entries of Wikiped... [more] | TL2017-9 NLC2017-9 pp.47-52 |
| NLC, IPSJ-IFAT | 2017-02-10 09:25 |
Osaka | Extractive Summarization of Financial Statement Using Multi-Task Learning Masaru Isonuma, Toru Fujino, Jumpei Ukita, Haruka Murakami, Kimitaka Asatani, Junichiro Mori, Ichiro Sakata (UTokyo) NLC2016-47 |
In this paper, we proposed a methodology of summarizing financial statements which contributes to high quality investmen... [more] | NLC2016-47 pp.45-50 |
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| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Additive Model Decomposition with Global Sparse Structure for Multi-task Granger Causal Estimation Hitoshi Abe, Jun Sakuma (Univ. Tsukuba) IBISML2016-56 |
Causality estimation is one of the key issues in time-series data analysis. Granger causality is widely known as a form... [more] |
IBISML2016-56 pp.73-79 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Non-parametric tensor learning with Gaussian process prior and its application to multi-task learning Heishiro Kanagawa, Taiji Suzuki (Titech) IBISML2015-89 |
低ランクテンソル推定は複数のデータソース間の高次の関係性を学習する方法として，マルチタスク学習， 推薦システム，時空間解析など様々な問題に応用されている．低ランクテンソルを推定する代表的な手法として，線 形のモデルを仮定した凸最適化に基... [more] |
IBISML2015-89 pp.273-280 |
| NC | 2015-01-29 16:30 |
Fukuoka | Kyushu Institute of Technology | Implementation of the higher-rank of SOM using formal neurons Yuta Saho, Kiyohisa Natsume, Tetsuo Furukawa (Kyutech) NC2014-62 |
The purpose of this work is building a neural network model which performs meta-model learning. The term `meta-model lea... [more] | NC2014-62 pp.27-32 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Regularized multi-task learning for multi-dimensional log-density gradient estimation Ikko Yamane (Tokyo Inst. of Tech.), Hiroaki Sasaki, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-58 |
Log-density gradient estimation is a fundamental statistical problem and it has various practical applications such as c... [more] | IBISML2014-58 pp.177-183 |
| IBISML | 2014-03-06 13:25 |
Nara | Nara Women's University | Simultaneous prediction of multiple physical properties using multi-task learning Tomoaki Iwase (Univ. of Tokyo), Atsuto Seko (Kyoto Univ.), Hisashi Kashima (Univ. of Tokyo) IBISML2013-68 |
We apply several existing techniques and a new model of multi-task learning to the problem of predicting multiple physic... [more] | IBISML2013-68 pp.9-13 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Learning Common Features of Parametrized Tasks Ichiro Takeuchi, Tatsuya Hongo (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.), Shinichi Nakajima (Nikon) IBISML2013-66 |
We introduce a novel formulation of multi-task learning (MTL) called parametric task learning (PTL) that can systematica... [more] | IBISML2013-66 pp.225-232 |
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