31 citations · 31 across the 3 of their papers we have counts for
3 papers
PLaMo 2.1-VL Technical Report
Tommi Kerola, Yuya Masuda, Takashi Masuko +5
We introduce PLaMo 2.1-VL, a lightweight Vision Language Model (VLM) for autonomous devices, available in 8B and 2B variants and designed for local and edge deployment with Japanes…
Meta Learning as Bayes Risk Minimization
Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama
Meta-Learning is a family of methods that use a set of interrelated tasks to learn a model that can quickly learn a new query task from a possibly small contextual dataset. In this…
Graph Residual Flow for Molecular Graph Generation
Shion Honda, Hirotaka Akita, Katsuhiko Ishiguro +2
Statistical generative models for molecular graphs attract attention from many researchers from the fields of bio- and chemo-informatics. Among these models, invertible flow-based…