We propose Dataset Reinforcement, a strategy to improve a dataset once s...
In many retrieval systems the original high dimensional data (e.g., imag...
State-of-the-art automatic augmentation methods (e.g., AutoAugment and
R...
Recent advances in learning aligned multimodal representations have been...
Implementations of SGD on distributed and multi-GPU systems creates new
...
Deep Learning has revolutionized machine learning and artificial
intelli...
As the size and complexity of models and datasets grow, so does the need...
Many communication-efficient variants of SGD use gradient quantization
s...
The impact of gradient noise on training deep models is widely acknowled...
Adversarial training is a common approach to improving the robustness of...
As the size and complexity of models and datasets grow, so does the need...
State of the art computer vision models have been shown to be vulnerable...
We present a new technique for learning visual-semantic embeddings for
c...
cleverhans is a software library that provides standardized
reference im...
We show that the representation of an image in a deep neural network (DN...