ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.13571
  4. Cited By
PECAN: A Product-Quantized Content Addressable Memory Network

PECAN: A Product-Quantized Content Addressable Memory Network

13 August 2022
Jie Ran
R. Lin
Jason Chun Lok Li
Jiajun Zhou
Ngai Wong
    MQ
ArXivPDFHTML

Papers citing "PECAN: A Product-Quantized Content Addressable Memory Network"

7 / 7 papers shown
Title
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
Guoyu Li
Shengyu Ye
C. L. P. Chen
Yang Wang
Fan Yang
Ting Cao
Cheng Liu
Mohamed M. Sabry
Mao Yang
MQ
45
0
0
18 Jan 2025
PQA: Exploring the Potential of Product Quantization in DNN Hardware
  Acceleration
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
Ahmed F. AbouElhamayed
Angela Cui
Javier Fernandez-Marques
Nicholas D. Lane
Mohamed S. Abdelfattah
MQ
9
4
0
25 May 2023
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
204
395
0
24 Jan 2022
ShiftAddNet: A Hardware-Inspired Deep Network
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You
Xiaohan Chen
Yongan Zhang
Chaojian Li
Sicheng Li
Zihao Liu
Zhangyang Wang
Yingyan Lin
OOD
MQ
47
75
0
24 Oct 2020
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
117
321
0
24 Sep 2019
CBNet: A Novel Composite Backbone Network Architecture for Object
  Detection
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu
Yongtao Wang
Siwei Wang
Tingting Liang
Qijie Zhao
Zhi Tang
Haibin Ling
ObjD
195
242
0
09 Sep 2019
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
291
1,002
0
10 Feb 2017
1