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Least squares binary quantization of neural networks

Least squares binary quantization of neural networks

9 January 2020
Hadi Pouransari
Zhucheng Tu
Oncel Tuzel
    MQ
ArXivPDFHTML

Papers citing "Least squares binary quantization of neural networks"

18 / 18 papers shown
Title
PARQ: Piecewise-Affine Regularized Quantization
PARQ: Piecewise-Affine Regularized Quantization
Lisa Jin
Jianhao Ma
Zechun Liu
Andrey Gromov
Aaron Defazio
Lin Xiao
MQ
38
0
0
19 Mar 2025
Optimal Brain Apoptosis
Optimal Brain Apoptosis
Mingyuan Sun
Zheng Fang
Jiaxu Wang
Junjie Jiang
Delei Kong
Chenming Hu
Yuetong Fang
Renjing Xu
AAML
66
0
0
25 Feb 2025
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar
Yash Jain
Alexey Tumanov
MQ
54
0
0
04 Dec 2023
Subgraph Stationary Hardware-Software Inference Co-Design
Subgraph Stationary Hardware-Software Inference Co-Design
Payman Behnam
Jianming Tong
Alind Khare
Yang Chen
Yue Pan
Pranav Gadikar
A. Bambhaniya
T. Krishna
Alexey Tumanov
17
3
0
21 Jun 2023
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler
  Alignment of Embeddings for Asymmetrical dual encoders
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
Daniel Fernando Campos
Alessandro Magnani
Chengxiang Zhai
14
2
0
31 Mar 2023
oBERTa: Improving Sparse Transfer Learning via improved initialization,
  distillation, and pruning regimes
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes
Daniel Fernando Campos
Alexandre Marques
Mark Kurtz
Chengxiang Zhai
VLM
AAML
11
2
0
30 Mar 2023
Ultra-low Precision Multiplication-free Training for Deep Neural
  Networks
Ultra-low Precision Multiplication-free Training for Deep Neural Networks
Chang-Shu Liu
Rui Zhang
Xishan Zhang
Yifan Hao
Zidong Du
Xingui Hu
Ling Li
Qi Guo
MQ
32
1
0
28 Feb 2023
Signed Binary Weight Networks
Sachit Kuhar
Alexey Tumanov
Judy Hoffman
MQ
13
1
0
25 Nov 2022
IR2Net: Information Restriction and Information Recovery for Accurate
  Binary Neural Networks
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
Ping Xue
Yang Lu
Jingfei Chang
Xing Wei
Zhen Wei
MQ
70
0
0
06 Oct 2022
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Pierre Wolinski
Julyan Arbel
AI4CE
68
8
0
24 May 2022
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight
  Neural Networks
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Shien Zhu
Luan H. K. Duong
Hui Chen
Di Liu
Weichen Liu
MQ
14
5
0
19 Jan 2022
CBP: Backpropagation with constraint on weight precision using a
  pseudo-Lagrange multiplier method
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Guhyun Kim
D. Jeong
MQ
34
2
0
06 Oct 2021
On the Acceleration of Deep Neural Network Inference using Quantized
  Compressed Sensing
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing
Meshia Cédric Oveneke
MQ
14
0
0
23 Aug 2021
TENT: Efficient Quantization of Neural Networks on the tiny Edge with
  Tapered FixEd PoiNT
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
H. F. Langroudi
Vedant Karia
Tej Pandit
Dhireesha Kudithipudi
MQ
13
10
0
06 Apr 2021
Self-Distribution Binary Neural Networks
Self-Distribution Binary Neural Networks
Ping Xue
Yang Lu
Jingfei Chang
Xing Wei
Zhen Wei
MQ
19
10
0
03 Mar 2021
Improving Accuracy of Binary Neural Networks using Unbalanced Activation
  Distribution
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution
Hyungjun Kim
Jihoon Park
Chang-Ho Lee
Jae-Joon Kim
MQ
4
30
0
02 Dec 2020
FATNN: Fast and Accurate Ternary Neural Networks
FATNN: Fast and Accurate Ternary Neural Networks
Peng Chen
Bohan Zhuang
Chunhua Shen
MQ
4
15
0
12 Aug 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical
  Distribution
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
11
5
0
30 Jun 2020
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