most citedRobust VAEs via Generating Process of Noise Augmented Data

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2023

Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning

Takumi Nakagawa, Yutaro Sanada, Hiroki Waida +5

Representation learning has been increasing its impact on the research and practice of machine learning, since it enables to learn representations that can apply to various downstr…

stat.ML2023

Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE

Yuhui Zhang, Yuichiro Wada, Hiroki Waida +3

We consider the scenario of deep clustering, in which the available prior knowledge is limited. In this scenario, few existing state-of-the-art deep clustering methods can perform…