Mainstream bias, where some users receive poor recommendations because t...
Graph Neural Networks (GNNs) have shown state-of-the-art improvements in...
Remote communication has rapidly become a part of everyday life in both
...
Direct optimization of IR metrics has often been adopted as an approach ...
In a collaborative-filtering recommendation scenario, biases in the data...
This paper demonstrates the potential of statistical disclosure control ...
An estimated half of the world's languages do not have a written form, m...
A major challenge in matching images and text is that they have intrinsi...
Statistical significance testing is widely accepted as a means to assess...
Deep neural networks have frequently been used to directly learn
represe...
In this work, we propose FM-Pair, an adaptation of Factorization Machine...
Inspired by the success of deploying deep learning in the fields of Comp...
Video captioning in essential is a complex natural process, which is aff...
We propose an image representation and matching approach that substantia...
In this paper, we present a subclass-representation approach that predic...