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Back-and-Forth prediction for deep tensor compression

Back-and-Forth prediction for deep tensor compression

14 February 2020
Hyomin Choi
R. Cohen
Ivan V. Bajić
ArXivPDFHTML

Papers citing "Back-and-Forth prediction for deep tensor compression"

14 / 14 papers shown
Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
A. Hojjat
Janek Haberer
Tayyaba Zainab
Olaf Landsiedel
52
3
0
18 Apr 2025
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
40
3
0
25 Mar 2024
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource
  Constrained IoT Systems
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Juliano S. Assine
José Cândido Silveira Santos Filho
Eduardo Valle
Marco Levorato
32
2
0
22 Jun 2023
C3-SL: Circular Convolution-Based Batch-Wise Compression for
  Communication-Efficient Split Learning
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
Cheng-Yen Hsieh
Yu-Chuan Chuang
An-Yeu
A. Wu
31
7
0
25 Jul 2022
SC2 Benchmark: Supervised Compression for Split Computing
SC2 Benchmark: Supervised Compression for Split Computing
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
14
18
0
16 Mar 2022
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels
Ashiv Dhondea
R. Cohen
Ivan V. Bajić
14
0
0
01 Dec 2021
Video Coding for Machine: Compact Visual Representation Compression for
  Intelligent Collaborative Analytics
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Wenhan Yang
Haofeng Huang
Yueyu Hu
Ling-yu Duan
Jiaying Liu
33
26
0
18 Oct 2021
Lightweight Compression of Intermediate Neural Network Features for
  Collaborative Intelligence
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
R. Cohen
Hyomin Choi
Ivan V. Bajić
32
23
0
15 May 2021
Lightweight compression of neural network feature tensors for
  collaborative intelligence
Lightweight compression of neural network feature tensors for collaborative intelligence
R. Cohen
Hyomin Choi
Ivan V. Bajić
30
42
0
12 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and
  Computation
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
Juliano S. Assine
José Cândido Silveira Santos Filho
Eduardo Valle
ObjD
55
8
0
03 May 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
33
199
0
08 Mar 2021
Analysis of Latent-Space Motion for Collaborative Intelligence
Analysis of Latent-Space Motion for Collaborative Intelligence
Mateen Ulhaq
Ivan V. Bajić
16
1
0
08 Feb 2021
Latent-Space Inpainting for Packet Loss Concealment in Collaborative
  Object Detection
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection
Ivan V. Bajić
16
1
0
30 Jan 2021
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Saeed Ranjbar Alvar
Ivan V. Bajić
13
29
0
25 Sep 2020
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