Scalability is a significant challenge when it comes to applying differe...
Lidar is a vital sensor for estimating the depth of a scene. Typical spi...
A major challenge in applying differential privacy to training deep neur...
Maximum mean discrepancy (MMD) is a particularly useful distance metric ...
Channel (or 3D filter) pruning serves as an effective way to accelerate ...
We introduce Dirichlet pruning, a novel post-processing technique to
tra...
We introduce a novel framework to quantify the importance of each input
...
We present a differentially private data generation paradigm using rando...
Convolutional neural networks (CNNs) in recent years have made a dramati...
We propose a new variational family for Bayesian neural networks. We
dec...
The Shapley value has been recently advocated as a method to choose the ...