In knowledge distillation, the knowledge from the teacher model is often...
Hash based nearest neighbor search has become attractive in many
applica...
Batch Normalization (BN) is capable of accelerating the training of deep...
Convolutional neural networks (CNNs) can be applied to graph similarity
...
Determining semantic similarity between academic documents is crucial to...
Optimizing deep neural networks (DNNs) often suffers from the ill-condit...