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Found 3 papers, 3 papers with code
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding
As the one technique of dimensionality reduction, a stochastic neighbor embedding (SNE) was introduced.
Triplet Loss for Knowledge Distillation
The functionality of the metric learning to reduce the differences between similar outputs can be used for the knowledge distillation to reduce the differences between the outputs of the teacher model and the student model.
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
The neuron-wise discriminant criterion makes the input feature of each neuron in the output layer discriminative by introducing the discriminant criterion to each of the features.
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