Title | Journal | Journal Categories | Citations | Publication Date |
---|---|---|---|---|
Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling | 2013 | |||
Adversarial examples are not bugs, they are features | ||||
Deep gradient compression: Reducing the communication bandwidth for distributed training | 2017 | |||
High performance convolutional neural networks for document processing | ||||
R-GAP: Recursive gradient attack on privacy | 2020 |