Over-parameterized deep networks trained using gradient-based optimizers...
This paper addresses the classic problem of regression, which involves t...
An average adult is exposed to hundreds of digital advertisements daily
...
In recent years, impressive progress has been made in the design of impl...
We implement and evaluate deep learning for cardinality estimation by
st...
Deep reinforcement learning is quickly changing the field of artificial
...
Deep learning involves a difficult non-convex optimization problem with ...
For many applications, an ensemble of base classifiers is an effective
s...
In a recent paper, Levy and Goldberg pointed out an interesting connecti...