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. 2104.09056
  4. Cited By
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for
  Energy-Efficient CNN-Based Computational Imaging

RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging

19 April 2021
Chao-Tsung Huang
ArXivPDFHTML

Papers citing "RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging"

4 / 4 papers shown
Title
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional
  Network Accelerators
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Min-hee Yoo
Jaeyong Song
Hyeyoon Lee
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
GNN
16
5
0
24 Jan 2023
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
216
354
0
05 Mar 2020
Quaternion Convolutional Neural Networks for Heterogeneous Image
  Processing
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing
Titouan Parcollet
Mohamed Morchid
G. Linarès
138
82
0
31 Oct 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
1