Recent works on neural network pruning advocate that reducing the depth ...
The limit order book mechanism has been the core trading mechanism of th...
Reducing the high computational cost of large convolutional neural netwo...
We address the problem of unsupervised disentanglement of discrete and
c...
We develop hierarchically quantized efficient embedding representations ...
Policy optimization struggles when the reward feedback signal is very sp...
Embedding representation learning via neural networks is at the core
fou...
In the use of deep neural networks, it is crucial to provide appropriate...