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DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

27 July 2019
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
Talmaj Marinc
David Neumann
Tung Nguyen
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
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Papers citing "DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks"

12 / 12 papers shown
Title
Compression Repair for Feedforward Neural Networks Based on Model
  Equivalence Evaluation
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation
Zihao Mo
Yejiang Yang
Shuaizheng Lu
Weiming Xiang
32
1
0
18 Feb 2024
Safety Verification of Neural Network Control Systems Using Guaranteed
  Neural Network Model Reduction
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction
Weiming Xiang
Zhongzhu Shao
23
3
0
17 Jan 2023
Can We Find Strong Lottery Tickets in Generative Models?
Can We Find Strong Lottery Tickets in Generative Models?
Sangyeop Yeo
Yoojin Jang
Jy-yong Sohn
Dongyoon Han
Jaejun Yoo
20
6
0
16 Dec 2022
Semi-Supervised Learning for Image Classification using Compact Networks
  in the BioMedical Context
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
Adrián Inés
Andrés Díaz-Pinto
C. Domínguez
Jónathan Heras
Eloy J. Mata
Vico Pascual
19
1
0
19 May 2022
Prune Your Model Before Distill It
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
43
27
0
30 Sep 2021
Communication-Efficient Federated Learning via Predictive Coding
Communication-Efficient Federated Learning via Predictive Coding
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
FedML
25
14
0
02 Aug 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Leon Witt
Usama Zafar
KuoYeh Shen
Felix Sattler
Dan Li
Wojciech Samek
FedML
29
4
0
27 Jun 2021
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
89
35
0
16 Feb 2021
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently
  Running 4bit-Compact Multilayer Perceptrons
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons
Simon Wiedemann
Suhas Shivapakash
P. Wiedemann
Daniel Becking
Wojciech Samek
F. Gerfers
Thomas Wiegand
MQ
21
7
0
17 Dec 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
40
965
0
04 Oct 2019
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
81
85
0
07 Feb 2018
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
322
1,049
0
10 Feb 2017
1