Publications

Deep Portfolio Optimization via Distributional Prediction of Residual Factors

AAAI 2021

Machine Learning / Deep Learning

By : Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa

All Word Embeddings from One Embedding

NeurIPS 2020

Machine Learning / Deep Learning

Natural Language Processing / Speech Processing

By : Sho Takase, Sosuke Kobayashi

Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN

IJCV 2020

Computer Vision

Machine Learning / Deep Learning

By : Masaki Saito, Shunta Saito, Masanori Koyama, Sosuke Kobayashi

Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective

ICML 2020

Machine Learning / Deep Learning

By : Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation

ITSC2020

Machine Learning / Deep Learning

By : Daisuke Nishiyama, Mario Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

Fast Soft Color Segmentation

CVPR 2020

Computer Vision

Machine Learning / Deep Learning

By : Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki

Smoothness and Stability in GANs

ICLR 2020

Machine Learning / Deep Learning

By : Casey Chu, Kentaro Minami, Kenji Fukumizu

A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation

NeurIPS 2019

Machine Learning / Deep Learning

By : Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama

Semi-flat minima and saddle points by embedding neural networks to overparameterization

NeurIPS 2019

Machine Learning / Deep Learning

By : Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka

Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks

NeurIPS 2019

Machine Learning / Deep Learning

By : Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda

Robustness to Adversarial Perturbations in Learning from Incomplete Data

NeurIPS 2019

Machine Learning / Deep Learning

By : Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato

Distributional Concavity Regularization for GANs

ICLR 2019

Machine Learning / Deep Learning

By : Shoichiro Yamaguchi, Masanori Koyama