Publications

Papers presented at conferences and journals in Japan and worldwide, authored by PFN researchers, interns, and part-time engineer students, including results of joint research.

AAAI 2021

Deep Portfolio Optimization via Distributional Prediction of Residual Factors

Machine Learning / Deep Learning

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

IJCAI2020

Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)

Computer Vision

By : Kuniyuki Takahashi, Jethro Tan

NeurIPS 2020

All Word Embeddings from One Embedding

Machine Learning / Deep Learning Natural Language Processing / Speech Processing

By : Sho Takase, Sosuke Kobayashi

UAI 2020

Amortized Nesterov’s Momentum: Robust and Lightweight Momentum for Deep Learning

Machine Learning / Deep Learning

By : Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng

ICRA 2020

MANGA: Method Agnostic Neural-policy Generalization and Adaptation

Reinforcement Learning Robotics

By : Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda

IJCV 2020

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

Computer Vision Machine Learning / Deep Learning

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

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