Knowledge graph (KG) embedding techniques use structured relationships
b...
The key to e-commerce search is how to best utilize the large yet noisy ...
Graph convolutional network (GCN) based approaches have achieved signifi...
Slot-filling refers to the task of annotating individual terms in a quer...
For a given image generation problem, the intrinsic image manifold is of...
This paper addresses the classic problem of regression, which involves t...
Image hashing is a fundamental problem in the computer vision domain wit...
An average adult is exposed to hundreds of digital advertisements daily
...
Credit attribution is the task of associating individual parts in a docu...
In e-commerce, a user tends to search for the desired product by issuing...
Segmenting text into semantically coherent segments is an important task...
Word2Vec's Skip Gram model is the current state-of-the-art approach for
...