3 citations · 3 across the 9 of their papers we have counts for
3 papers · 1 filter
Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning
Yusaku Takama, Ning Ding, Tatsuya Yokota +1
Existing architectures of multi-domain learning have two types of adapters: shared LoRA for all domains and domain-specific LoRA for each particular domain. However, it remains unc…
Multi-Scale Representation of Follicular Lymphoma Pathology Images in a Single Hyperbolic Space
Kei Taguchi, Kazumasa Ohara, Tatsuya Yokota +4
We propose a method for representing malignant lymphoma pathology images, from high-resolution cell nuclei to low-resolution tissue images, within a single hyperbolic space using s…
ADMM-MM Algorithm for General Tensor Decomposition
Manabu Mukai, Hidekata Hontani, Tatsuya Yokota
In this paper, we propose a new unified optimization algorithm for general tensor decomposition which is formulated as an inverse problem for low-rank tensors in the general linear…