Joint Pruning & Quantization for Extremely Sparse Neural Networks

5 October 2020

Papers citing "Joint Pruning & Quantization for Extremely Sparse Neural Networks"

5 / 5 papers shown

Title
Effective Interplay between Sparsity and Quantization: From Theory to Practice Simla Burcu Harma Ayan Chakraborty Elizaveta Kostenok Danila Mishin Dongho Ha ... Martin Jaggi Ming Liu Yunho Oh Suvinay Subramanian Amir Yazdanbakhsh MQ 44 5 0 31 May 2024
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom Alexander Finkelstein Ella Fuchs Idan Tal Mark Grobman Niv Vosco Eldad Meller MQ 24 6 0 05 Dec 2022
Efficient Quantized Sparse Matrix Operations on Tensor Cores Shigang Li Kazuki Osawa Torsten Hoefler 76 31 0 14 Sep 2022
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations Xinyu Zhang Ian Colbert Ken Kreutz-Delgado Srinjoy Das MQ 29 11 0 15 Oct 2021
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017