Fine-grained classification often requires recognizing specific object p...
Humans are good at recomposing novel objects, i.e. they can identify
com...
Post-hoc explanation methods have often been criticised for abstracting ...
In everyday conversations, humans can take on different roles and adapt ...
Semantic image synthesis enables control over unconditional image genera...
Humans show high-level of abstraction capabilities in games that require...
Learning a common representation space between vision and language allow...
An agent who interacts with a wide population of other agents needs to b...
When deep neural networks optimize highly complex functions, it is not a...
Deep reinforcement learning has been successfully applied to several
vis...