Open vocabulary keyword spotting is a crucial and challenging task in
au...
Lip-to-speech involves generating a natural-sounding speech synchronized...
Referring Expressions Generation (REG) aims to produce textual descripti...
Auxiliary learning is an effective method for enhancing the generalizati...
Designing machine learning architectures for processing neural networks ...
In Multi-task learning (MTL), a joint model is trained to simultaneously...
Group Activity Recognition (GAR) detects the activity performed by a gro...
Federated learning aims to learn a global model that performs well on cl...
Personalized federated learning is tasked with training machine learning...
Multi-objective optimization problems are prevalent in machine learning....
Object Permanence allows people to reason about the location of non-visi...