Khái niệm cốt lõi
Differentiable pruning combined with combinatorial optimization enhances structured neural network pruning.
Thống kê
Neural network pruning offers improved generalization and efficiency.
Differentiable pruning and combinatorial optimization combined in SequentialAttention++.
SequentialAttention++ advances block-wise pruning on ImageNet and Criteo datasets.
Trích dẫn
"Neural network pruning is a key technique towards engineering large yet scalable, interpretable, and generalizable models."
"Our work focuses on developing new and improved techniques for structured sparsification of weight matrices."