Open vocabulary keyword spotting is a crucial and challenging task in
au...
In computer vision and machine learning, a crucial challenge is to lower...
Auxiliary learning is an effective method for enhancing the generalizati...
Designing machine learning architectures for processing neural networks ...
Implicit generative models, which do not return likelihood values, such ...
In Multi-task learning (MTL), a joint model is trained to simultaneously...
Federated learning aims to learn a global model that performs well on cl...
Personalized federated learning is tasked with training machine learning...
Gaussian processes (GPs) are non-parametric, flexible, models that work ...
Multi-objective optimization problems are prevalent in machine learning....
We consider the problem of predicting several response variables using t...