16 citations · 25 across the 6 of their papers we have counts for
3 papers · 1 filter
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking
Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti +3
Nowadays, deep neural networks are used for solving complex tasks in several critical applications and protecting both their integrity and intellectual property rights (IPR) has be…
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…
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti +1
The ever-increasing number of parameters in deep neural networks poses challenges for memory-limited applications. Regularize-and-prune methods aim at meeting these challenges by s…