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Domain-adaptive deep network compression

Domain-adaptive deep network compression

4 September 2017
Marc Masana
Joost van de Weijer
Luis Herranz
Andrew D. Bagdanov
J. Álvarez
ArXivPDFHTML

Papers citing "Domain-adaptive deep network compression"

28 / 28 papers shown
Title
A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
Andreas Karathanasis
John Violos
I. Kompatsiaris
Symeon Papadopoulos
27
0
0
29 Apr 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models
BackSlash: Rate Constrained Optimized Training of Large Language Models
Jun Wu
Jiangtao Wen
Yuxing Han
34
0
0
23 Apr 2025
Are Visual Recognition Models Robust to Image Compression?
Are Visual Recognition Models Robust to Image Compression?
Joao Maria Janeiro
Stanislav Frolov
Alaaeldin El-Nouby
Jakob Verbeek
VLM
13
4
0
10 Apr 2023
Is Complexity Required for Neural Network Pruning? A Case Study on
  Global Magnitude Pruning
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Manas Gupta
Efe Camci
Vishandi Rudy Keneta
Abhishek Vaidyanathan
Ritwik Kanodia
Chuan-Sheng Foo
Wu Min
Lin Jie
17
14
0
29 Sep 2022
A Highly Effective Low-Rank Compression of Deep Neural Networks with
  Modified Beam-Search and Modified Stable Rank
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo
Suhyun Kang
Wonjong Rhee
11
1
0
30 Nov 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on
  Recent Advances and New Directions
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
Yang Wu
Dingheng Wang
Xiaotong Lu
Fan Yang
Guoqi Li
W. Dong
Jianbo Shi
27
18
0
30 Aug 2021
A Domain-Oblivious Approach for Learning Concise Representations of
  Filtered Topological Spaces for Clustering
A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
Yuzhen Qin
Brittany Terese Fasy
C. Wenk
Brian Summa
9
4
0
25 May 2021
Model Pruning Based on Quantified Similarity of Feature Maps
Model Pruning Based on Quantified Similarity of Feature Maps
Zidu Wang
Xue-jun Liu
Long Huang
Yuxiang Chen
Yufei Zhang
Zhikang Lin
Rui Wang
13
16
0
13 May 2021
FFConv: Fast Factorized Convolutional Neural Network Inference on
  Encrypted Data
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data
Yu-Ching Lu
Jie Lin
Chao Jin
Zhe Wang
Min-man Wu
Khin Mi Mi Aung
Xiaoli Li
11
1
0
06 Feb 2021
Finding Sparse Structures for Domain Specific Neural Machine Translation
Finding Sparse Structures for Domain Specific Neural Machine Translation
Jianze Liang
Chengqi Zhao
Mingxuan Wang
Xipeng Qiu
Lei Li
CLL
11
4
0
19 Dec 2020
Self-grouping Convolutional Neural Networks
Self-grouping Convolutional Neural Networks
Qingbei Guo
Xiaojun Wu
J. Kittler
Zhiquan Feng
17
22
0
29 Sep 2020
Towards Modality Transferable Visual Information Representation with
  Optimal Model Compression
Towards Modality Transferable Visual Information Representation with Optimal Model Compression
Rongqun Lin
Linwei Zhu
Shiqi Wang
Sam Kwong
14
2
0
13 Aug 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
Ternary Feature Masks: zero-forgetting for task-incremental learning
Marc Masana
Tinne Tuytelaars
Joost van de Weijer
CLL
15
30
0
23 Jan 2020
Domain Adaptation Regularization for Spectral Pruning
Domain Adaptation Regularization for Spectral Pruning
Laurent Dillard
Yosuke Shinya
Taiji Suzuki
8
1
0
26 Dec 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models
Adaptative Inference Cost With Convolutional Neural Mixture Models
Adria Ruiz
Jakob Verbeek
VLM
17
22
0
19 Aug 2019
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
29
16
0
23 Nov 2018
Statistical Characteristics of Deep Representations: An Empirical
  Investigation
Statistical Characteristics of Deep Representations: An Empirical Investigation
Daeyoung Choi
Kyungeun Lee
Changho Shin
Stephen J. Roberts
AI4TS
8
2
0
08 Nov 2018
Target Aware Network Adaptation for Efficient Representation Learning
Target Aware Network Adaptation for Efficient Representation Learning
Yang Zhong
Vladimir Li
R. Okada
A. Maki
11
6
0
02 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
16
122
0
10 Sep 2018
Extreme Network Compression via Filter Group Approximation
Extreme Network Compression via Filter Group Approximation
Bo Peng
Wenming Tan
Zheyang Li
Shun Zhang
Di Xie
Shiliang Pu
16
63
0
30 Jul 2018
Filter Distillation for Network Compression
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
11
38
0
20 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
11
1
0
08 Jul 2018
Full deep neural network training on a pruned weight budget
Full deep neural network training on a pruned weight budget
Maximilian Golub
G. Lemieux
Mieszko Lis
20
28
0
11 Jun 2018
Training a Binary Weight Object Detector by Knowledge Transfer for
  Autonomous Driving
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
Jiaolong Xu
Peng Wang
Hengzhang Yang
Antonio M. López
MQ
19
23
0
17 Apr 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
31
1,339
0
10 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic
  Forgetting
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
Xialei Liu
Marc Masana
Luis Herranz
Joost van de Weijer
Antonio M. López
Andrew D. Bagdanov
CLL
26
269
0
08 Feb 2018
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
19
70
0
23 Nov 2017
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
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