Explaining the behavior of AI systems is an important problem that, in
p...
Transformer models can use two fundamentally different kinds of informat...
Imagine trying to track one particular fruitfly in a swarm of hundreds.
...
We introduce a deep recurrent neural network architecture that approxima...
Forming perceptual groups and individuating objects in visual scenes is ...
Recent successes in deep learning have started to impact neuroscience. O...
Progress in deep learning has spawned great successes in many engineerin...
The robust and efficient recognition of visual relations in images is a
...