WaveQ: Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization

29 February 2020

Papers citing "WaveQ: Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization"

7 / 7 papers shown

Title
Cauchy-Schwarz Regularizers Sueda Taner Ziyi Wang Christoph Studer 44 0 0 03 Mar 2025
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers Zhikai Li Mengjuan Chen Junrui Xiao Qingyi Gu ViT MQ 43 33 0 13 Sep 2022
Patch Similarity Aware Data-Free Quantization for Vision Transformers Zhikai Li Liping Ma Mengjuan Chen Junrui Xiao Qingyi Gu MQ ViT 19 44 0 04 Mar 2022
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 47 2 0 06 Oct 2021
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 26 8 0 14 Jun 2019
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 55 68 0 05 Nov 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014