22 citations · 22 across the 1 of their papers we have counts for
2 papers
stat.ML2022
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
Alex Finkelstein, Ella Fuchs, Idan Tal +3
The post-training quantization (PTQ) challenge of bringing quantized neural net accuracy close to original has drawn much attention driven by industry demand. Many of the methods e…
cs.LG2019★ 22 cited
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller, Alexander Finkelstein, Uri Almog +1
Quantization of neural networks has become common practice, driven by the need for efficient implementations of deep neural networks on embedded devices. In this paper, we exploit…