S. Maeda

activity

20152023

most citedRobustness to Adversarial Perturbations in Learning from Incomplete Data

33 citations · 76 across the 10 of their papers we have counts for

collaborators

Showing 2017Show all

2 papers · 1 filter

stat.ML2017★ 11 cited

Semi-supervised learning of hierarchical representations of molecules using neural message passing

Hai Nguyen, Shin-ichi Maeda, Kenta Oono

With the rapid increase of compound databases available in medicinal and material science, there is a growing need for learning representations of molecules in a semi-supervised ma…

stat.ML2017

Neural Sequence Model Training via $α$ -divergence Minimization

Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura +2

We propose a new neural sequence model training method in which the objective function is defined by $α$ -divergence. We demonstrate that the objective function generalizes the maxi…

Semi-supervised learning of hierarchical representations of molecules using neural message passing

Neural Sequence Model Training via α-divergence Minimization

Neural Sequence Model Training via $α$ -divergence Minimization