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SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation


Oct 20, 2021
Hong Chen, Hiroya Takamura, Hideki Nakayama

* this paper was accepted by EMNLP2021-findings 

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Graph Energy-based Model for Substructure Preserving Molecular Design


Feb 09, 2021
Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe

* preprint 

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GraphPlan: Story Generation by Planning with Event Graph


Feb 05, 2021
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama


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Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling


Feb 05, 2021
Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama

* Accepted by AAAI2021 

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Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network


Sep 30, 2020
Yuxuan Wu, Hideki Nakayama


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MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction


Jul 24, 2020
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltan Adam Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shinichi Satoh

* 21 pages, 11 figures, submitted to BMC Bioinformatics. arXiv admin note: substantial text overlap with arXiv:1906.06114 

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Meta Approach to Data Augmentation Optimization


Jun 14, 2020
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama


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Single Model Ensemble using Pseudo-Tags and Distinct Vectors


May 02, 2020
Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama

* Accepted by ACL2020 

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Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems


Jan 12, 2020
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama, Shin'ichi Satoh

* 10 pages, 1 figure, submitted to CARS 2020 

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Empirical Study of Easy and Hard Examples in CNN Training


Nov 25, 2019
Ikki Kishida, Hideki Nakayama

* ICONIP 2019 
* Accepted to ICONIP 2019 

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Faster AutoAugment: Learning Augmentation Strategies using Backpropagation


Nov 16, 2019
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama


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Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior


Sep 10, 2019
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho


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GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis


Jul 08, 2019
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh

* 7 pages, 4 figures, accepted to CIBB 2019 

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Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection


Jun 12, 2019
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li

* 9 pages, 6 figures, submitted to 3DV 2019 

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Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection


May 31, 2019
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

* 9 pages, 7 figures, submitted to IEEE ACCESS 

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Learning More with Less: GAN-based Medical Image Augmentation


May 07, 2019
Changhee Han, Kohei Murao, Shin'ichi Satoh, Hideki Nakayama

* 6 pages, 2 figures, Accepted to MEDICAL IMAGING TECHNOLOGY Special Issue 

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USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets


Apr 17, 2019
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga

* 44 pages, 6 figures, co-first authors: Leonardo Rundo and Changhee Han, submitted to Neurocomputing with the first submission: July 31, 2018 and revised version R1 submission (current version): April 15, 2019 

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CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study


Mar 29, 2019
Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri

* 12 pages, 3 figures, Accepted to Neural Approaches to Dynamics of Signal Exchanges as a Springer book chapter 

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Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection


Mar 29, 2019
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

* 13 pages, 6 figures, Accepted to Neural Approaches to Dynamics of Signal Exchanges as a Springer book chapter 

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Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images


Mar 03, 2019
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh

* 8 pages, 7 figures, submitted to IJCAI 2019 

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Real-time Neural-based Input Method


Oct 19, 2018
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama


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Semantic Aware Attention Based Deep Object Co-segmentation


Oct 16, 2018
Hong Chen, Yifei Huang, Hideki Nakayama


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Discrete Structural Planning for Neural Machine Translation


Aug 14, 2018
Raphael Shu, Hideki Nakayama


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Deep Learning for Forecasting Stock Returns in the Cross-Section


Jun 13, 2018
Masaya Abe, Hideki Nakayama

* 12 pages, 2 figures, 8 tables, accepted at PAKDD 2018 

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Parameter Reference Loss for Unsupervised Domain Adaptation


Dec 05, 2017
Jiren Jin, Richard G. Calland, Takeru Miyato, Brian K. Vogel, Hideki Nakayama

* Add experiments that compare parameter reference loss with existing methods using the same architecture 

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