Least squares binary quantization of neural networks
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - 2020 IEEE/CVF Conference on …, 2020 - ieeexplore.ieee.org
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - arXiv preprint arXiv:2001.02786, 2020 - arxiv.org
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
[PDF][PDF] Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - network - scholar.archive.org
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
[PDF][PDF] Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - network - openaccess.thecvf.com
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - 2020 IEEE/CVF Conference on …, 2020 - computer.org
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Quantizing weights and activations of deep neural networks results in significant
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
improvement in inference efficiency at the cost of lower accuracy. A source of the accuracy …
[引用][C] Least squares binary quantization of neural networks
H Pouransari, Z Tu, O Tuzel - 2020 IEEE/CVF Conference on Computer …, 2020 - cir.nii.ac.jp
Least squares binary quantization of neural networks | CiNii Research CiNii 国立情報学研究所
学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …