Visual similarities discovery (VSD) is an important task with broad
e-co...
We present Variational Bayesian Network (VBN) - a novel Bayesian entity
...
Transcriptions of phone calls are of significant value across diverse fi...
Recently, there has been growing interest in the ability of Transformer-...
We present MetricBERT, a BERT-based model that learns to embed text unde...
Transformer-based language models significantly advanced the state-of-th...
A major challenge in collaborative filtering methods is how to produce
r...
We present Gradient Activation Maps (GAM) - a machinery for explaining
p...
We present a novel model for the problem of ranking a collection of docu...
Two main challenges in recommender systems are modeling users with
heter...
Language models that utilize extensive self-supervised pre-training from...
This paper presents the Bayesian Hierarchical Words Representation (BHWR...
An important problem in multiview representation learning is finding the...
Factorization methods for recommender systems tend to represent users as...
Self attention mechanisms have become a key building block in many
state...
Attention based models have become the new state-of-the-art in natural
l...
Sound synthesis is a complex field that requires domain expertise. Manua...
The WSDM Cup 2017 Triple scoring challenge is aimed at calculating and
a...
In Recommender Systems research, algorithms are often characterized as e...
Recently, several works in the domain of natural language processing
pre...
Many Collaborative Filtering (CF) algorithms are item-based in the sense...
Manifold learning methods are useful for high dimensional data analysis....