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📚TheoryIntermediate

Knowledge Distillation Loss

Knowledge distillation loss blends standard hard-label cross-entropy with a soft distribution match from a teacher using a temperature parameter.

#knowledge distillation#kd loss#temperature scaling+12
📚TheoryAdvanced

Generalization Bounds for Deep Learning

Generalization bounds explain why deep neural networks can perform well on unseen data despite having many parameters.

#generalization bounds
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Filtering by:
#model compression
#pac-bayes
#compression bounds
+12
📚TheoryIntermediate

Lottery Ticket Hypothesis

The Lottery Ticket Hypothesis (LTH) says that inside a large dense neural network there exist small sparse subnetworks that, when trained in isolation from their original initialization, can reach comparable accuracy to the full model.

#lottery ticket hypothesis#magnitude pruning#sparsity+12