Synthetic image datasets offer unmatched advantages for designing and
ev...
For more than a decade, researchers have measured progress in object
rec...
Self-supervised learning, dubbed the dark matter of intelligence, is a
p...
Despite impressive advances in object-recognition, deep learning systems...
Machine learning models have been found to learn shortcuts – unintended
...
Deep learning vision systems are widely deployed across applications whe...
Recent state-of-the-art vision models introduced new architectures, lear...
Deep learning has led to remarkable advances in computer vision. Even so...
A grand goal in deep learning research is to learn representations capab...
Secure multi-party computation (MPC) allows parties to perform computati...
To perform well on unseen and potentially out-of-distribution samples, i...
A core challenge in Machine Learning is to learn to disentangle natural
...
A barrier to the wider adoption of neural networks is their lack of
inte...
Models for sequential data such as the recurrent neural network (RNN) of...
Deep learning adoption in the financial services industry has been limit...