221 citations · 507 across the 42 of their papers we have counts for
Showing 2021 · cs.LGShow all
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cs.LG2021★ 9 cited
HEMP: High-order Entropy Minimization for neural network comPression
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti +2
We formulate the entropy of a quantized artificial neural network as a differentiable function that can be plugged as a regularization term into the cost function minimized by grad…
cs.LG2021★ 19 cited
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna +2
Deep neural networks include millions of learnable parameters, making their deployment over resource-constrained devices problematic. SeReNe (Sensitivity-based Regularization of Ne…