In the analysis of differential item functioning (DIF) using item response theory (IRT), a common metric is necessary to compare item parameters between groups of test-takers. In the Rasch model, the same restriction is placed on the item parameters in each group in order to define a common metric. However, the question how the items in the restriction – termed anchor items – are selected appro...

In this paper, we propose a self-supervised contrastive learning method to learn video feature representations. traditional methods, constraints from anchor, positive, and negative data pairs are used train the model. such case, different samplings of same treated as positives, clips videos negatives. Because spatio-temporal information is important for representation, set temporal more strictl...

Recent years, graph contrastive learning (GCL), which aims to learn representations from unlabeled graphs, has made great progress. However, the existing GCL methods mostly adopt human-designed augmentations, are sensitive various datasets. In addition, losses originally developed in computer vision have been directly applied data, where neighboring nodes regarded as negatives and consequently ...

Oriented object detection is a practical and challenging task in remote sensing image interpretation. Nowadays, oriented detectors mostly use horizontal boxes as intermedium to derive from them. However, the are inclined get small Intersection-over-Unions (IoUs) with ground truths, which may have some undesirable effects, such introducing redundant noise, mismatching detracting robustness of de...

To enjoy more social network services, users nowadays are usually involved in multiple online social networks simultaneously. The shared users between different networks are called anchor users, while the remaining unshared users are named as non-anchor users. Connections between accounts of anchor users in different networks are defined as anchor links and networks partially aligned by anchor ...

This paper describes our submission to the Intent Discovery task at the NTCIR-9. By treating the source and target documents of anchor texts as nodes, we utilized the anchor texts between the nodes as edges in a documents–anchors graph representation of the corpus. We extracted and indexed anchor links information from the provided SogouT corpus. Using the queries, anchor texts are retrieved fr...