ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.03979
  4. Cited By
Extended Bit-Plane Compression for Convolutional Neural Network
  Accelerators

Extended Bit-Plane Compression for Convolutional Neural Network Accelerators

1 October 2018
Lukas Cavigelli
Luca Benini
ArXiv (abs)PDFHTML

Papers citing "Extended Bit-Plane Compression for Convolutional Neural Network Accelerators"

9 / 9 papers shown
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
Nivedita Shrivastava
S. Sarangi
AAML
261
3
0
05 Nov 2023
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning
  Inference
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference
Alberto Delmas Lascorz
Mostafa Mahmoud
Andreas Moshovos
MQ
93
1
0
21 Jan 2022
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight
  Neural Networks
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks
Lukas Cavigelli
Luca Benini
MQ
235
9
0
04 Jan 2020
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network
  Inference at the Edge of the Internet of Things
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsIEEE Internet of Things Journal (IEEE IoT Journal), 2019
Xiaying Wang
Michele Magno
Lukas Cavigelli
Luca Benini
311
131
0
08 Nov 2019
Constrained deep neural network architecture search for IoT devices
  accounting hardware calibration
Constrained deep neural network architecture search for IoT devices accounting hardware calibrationNeural Information Processing Systems (NeurIPS), 2019
Florian Scheidegger
Luca Benini
C. Bekas
A. Malossi
3DV
156
16
0
24 Sep 2019
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference
  and Training Accelerators
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training AcceleratorsIEEE Journal on Emerging and Selected Topics in Circuits and Systems (JESTCAS), 2019
Lukas Cavigelli
Georg Rutishauser
Luca Benini
MQ
212
41
0
30 Aug 2019
Feature Map Transform Coding for Energy-Efficient CNN Inference
Feature Map Transform Coding for Energy-Efficient CNN InferenceIEEE International Joint Conference on Neural Network (IJCNN), 2019
Brian Chmiel
Chaim Baskin
Ron Banner
Evgenii Zheltonozhskii
Yevgeny Yermolin
Alex Karbachevsky
A. Bronstein
A. Mendelson
259
27
0
26 May 2019
Additive Noise Annealing and Approximation Properties of Quantized
  Neural Networks
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks
Matteo Spallanzani
Lukas Cavigelli
G. P. Leonardi
Marko Bertogna
Luca Benini
129
16
0
24 May 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access
Optimally Scheduling CNN Convolutions for Efficient Memory Access
Arthur Stoutchinin
Francesco Conti
Luca Benini
137
45
0
04 Feb 2019
1
Page 1 of 1