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洞見 - Neural Network Depth Reduction
Entropy-Based Pruning as a Neural Network Depth Reducer
NEPENTHE, an iterative unstructured approach, can effectively reduce the depth of over-parameterized deep neural networks with little to no performance loss.
Reducing Neural Network Depth Using an Entropy-Based Importance Metric
A method to reduce the depth of deep neural networks by iteratively linearizing the lowest-entropy layer while preserving performance.
