Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
weight_quantization [2018/05/07 00:12]
admin
weight_quantization [2018/12/05 10:39] (current)
admin
Line 164: Line 164:
  
 https://​arxiv.org/​abs/​1706.02021 Network Sketching: Exploiting Binary Structure in Deep CNNs https://​arxiv.org/​abs/​1706.02021 Network Sketching: Exploiting Binary Structure in Deep CNNs
 +
 +https://​arxiv.org/​abs/​1806.08342v1 Quantizing deep convolutional networks for efficient inference: A whitepaper
 +
 +https://​arxiv.org/​abs/​1808.08784v1 Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant https://​github.com/​cc-hpc-itwm/​TensorQuant
 +
 +https://​arxiv.org/​abs/​1810.04714 Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation https://​github.com/​salu133445/​binarygan
 +
 +https://​arxiv.org/​abs/​1809.09244 No Multiplication?​ No Floating Point? No Problem! Training Networks for Efficient Inference