39 citations · 80 across the 5 of their papers we have counts for
5 papers
Contrastive Knowledge Graph Error Detection
Qinggang Zhang, Junnan Dong, Keyu Duan +3
Knowledge Graph (KG) errors introduce non-negligible noise, severely affecting KG-related downstream tasks. Detecting errors in KGs is challenging since the patterns of errors are…
Multi-layered Semantic Representation Network for Multi-label Image Classification
Xiwen Qu, Hao Che, Jun Huang +2
Multi-label image classification (MLIC) is a fundamental and practical task, which aims to assign multiple possible labels to an image. In recent years, many deep convolutional neu…
Generalization Error Bound for Hyperbolic Ordinal Embedding
Atsushi Suzuki, Atsushi Nitanda, Jing Wang +3
Hyperbolic ordinal embedding (HOE) represents entities as points in hyperbolic space so that they agree as well as possible with given constraints in the form of entity i is more s…
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
Linchuan Xu, Jun Huang, Atsushi Nitanda +2
Spatial attention has been introduced to convolutional neural networks (CNNs) for improving both their performance and interpretability in visual tasks including image classificati…
Detecting Change Signs with Differential MDL Change Statistics for COVID-19 Pandemic Analysis
Kenji Yamanishi, Linchuan Xu, Ryo Yuki +2
We are concerned with the issue of detecting changes and their signs from a data stream. For example, when given time series of COVID-19 cases in a region, we may raise early warni…