4 citations · 7 across the 4 of their papers we have counts for
4 papers
Can Visual Encoder Learn to See Arrows?
Naoyuki Terashita, Yusuke Tozaki, Hideaki Omote +4
The diagram is a visual representation of a relationship illustrated with edges (lines or arrows), which is widely used in industrial and scientific communication. Although recogni…
Data Cleansing for GANs
Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
As the application of generative adversarial networks (GANs) expands, it becomes increasingly critical to develop a unified approach that improves performance across various genera…
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita, Satoshi Hara
This paper addresses the communication issues when estimating hyper-gradients in decentralized federated learning (FL). Hyper-gradients in decentralized FL quantifies how the perfo…
Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita, Hiroki Ohashi, Yuichi Nonaka +1
Identifying harmful instances, whose absence in a training dataset improves model performance, is important for building better machine learning models. Although previous studies h…