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1709.01041
Cited By
Domain-adaptive deep network compression
4 September 2017
Marc Masana
Joost van de Weijer
Luis Herranz
Andrew D. Bagdanov
J. Álvarez
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Papers citing
"Domain-adaptive deep network compression"
28 / 28 papers shown
Title
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
Jun Wu
Jiangtao Wen
Yuxing Han
34
0
0
23 Apr 2025
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
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
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
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
Yuzhen Qin
Brittany Terese Fasy
C. Wenk
Brian Summa
9
4
0
25 May 2021
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
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
Jianze Liang
Chengqi Zhao
Mingxuan Wang
Xipeng Qiu
Lei Li
CLL
11
4
0
19 Dec 2020
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
Rongqun Lin
Linwei Zhu
Shiqi Wang
Sam Kwong
14
2
0
13 Aug 2020
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
Laurent Dillard
Yosuke Shinya
Taiji Suzuki
8
1
0
26 Dec 2019
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
Ruizhe Zhao
Wayne Luk
29
16
0
23 Nov 2018
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
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
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
16
122
0
10 Sep 2018
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
Xavier Suau
Luca Zappella
N. Apostoloff
11
38
0
20 Jul 2018
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
Maximilian Golub
G. Lemieux
Mieszko Lis
20
28
0
11 Jun 2018
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
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
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
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
19
70
0
23 Nov 2017
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
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