Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
High-Performance Self-Supervised Learning by Joint Training of Flow Matching
Kosuke Ukita, Tsuyoshi Okita
Diffusion models can learn rich representations during data generation, showing potential for Self-Supervised Learning (SSL), but they face a trade-off between generative quality a…
cs.LG2025
Image Classification Using a Diffusion Model as a Pre-Training Model
Kosuke Ukita, Ye Xiaolong, Tsuyoshi Okita
In this paper, we propose a diffusion model that integrates a representation-conditioning mechanism, where the representations derived from a Vision Transformer (ViT) are used to c…