Efficient vision works maximize accuracy under a latency budget. These w...
Representation learning that leverages large-scale labelled datasets, is...
We introduce the "inverse bandit" problem of estimating the rewards of a...
While normalizing flows have led to significant advances in modeling
hig...
Efficient audio synthesis is an inherently difficult machine learning ta...
The Generative Adversarial Imitation Learning (GAIL) framework from Ho &...
Deep reinforcement learning has led to several recent breakthroughs, tho...
In this paper, we introduce Key-Value Memory Networks to a multimodal se...