We introduce Three Towers (3T), a flexible method to improve the contras...
We are living in a golden age of machine learning. Powerful models are b...
Supervised learning datasets often have privileged information, in the f...
Large scale image classification datasets often contain noisy labels. We...
The core challenge with continual learning is catastrophic forgetting, t...
Modelling uncertainty arising from input-dependent label noise is an
inc...
Neural architecture search has recently attracted lots of research effor...
This paper proposes a novel per-task routing method for multi-task
appli...
We consider the classical camera pose estimation problem that arises in ...
Neural architecture search has been shown to hold great promise towards ...