A rising trend in theoretical deep learning is to understand why deep
le...
Deep learning has been widely used in many fields, but the model trainin...
Submodular functions have many real-world applications, such as document...
Matrix sensing has many real-world applications in science and engineeri...
In this paper, we propose Adam-Hash: an adaptive and dynamic multi-resol...
There has been a recent effort in applying differential privacy on memor...
Adversarial training is a widely used strategy for making neural network...