The following pages link to ThiNet (Q46277):
Displaying 11 items.
- (Q50271) (redirect page) (← links)
- Make \(\ell_1\) regularization effective in training sparse CNN (Q782914) (← links)
- Deep neural networks with a set of node-wise varying activation functions (Q1980402) (← links)
- A new initialization method for neural networks with weight sharing (Q2073354) (← links)
- Pruning convolutional neural networks via filter similarity analysis (Q2102371) (← links)
- Pruning deep convolutional neural networks architectures with evolution strategy (Q2126266) (← links)
- Achieving adversarial robustness via sparsity (Q2127259) (← links)
- On the landscape of one-hidden-layer sparse networks and beyond (Q2152502) (← links)
- Max-plus operators applied to filter selection and model pruning in neural networks (Q2189383) (← links)
- PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning (Q2192902) (← links)
- (Q5053261) (← links)
