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1907.11900
Cited By
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"
9 / 9 papers shown
Title
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
Weiming Xiang
Zhongzhu Shao
23
3
0
17 Jan 2023
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
38
27
0
30 Sep 2021
Communication-Efficient Federated Learning via Predictive Coding
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
FedML
17
14
0
02 Aug 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Leon Witt
Usama Zafar
KuoYeh Shen
Felix Sattler
Dan Li
Wojciech Samek
FedML
24
4
0
27 Jun 2021
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
84
35
0
16 Feb 2021
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
17
965
0
04 Oct 2019
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
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
311
1,047
0
10 Feb 2017
1