Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1506.04449
Cited By
Compressing Convolutional Neural Networks
Knowledge Discovery and Data Mining (KDD), 2015
14 June 2015
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Compressing Convolutional Neural Networks"
50 / 57 papers shown
Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning
Tolga Dimlioglu
A. Choromańska
FedML
316
1
0
27 Jul 2025
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Keng-Hsin Liao
Chin-Yuan Yeh
Hsi-Wen Chen
Ming-Syan Chen
252
0
0
10 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
...
Zhenghua Chen
M. Aly
Jie Lin
Ruibing Jin
Xiaoli Li
348
9
0
09 May 2024
Constrained Multiview Representation for Self-supervised Contrastive Learning
Siyuan Dai
Kai Ye
Kun Zhao
Ge Cui
Haoteng Tang
Chen Tang
SSL
287
4
0
05 Feb 2024
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish
Kamal Gupta
Abhinav Shrivastava
3DGS
449
207
0
07 Dec 2023
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks
Nastaran Darabi
A. R. Trivedi
192
0
0
20 Sep 2023
Holistic Geometric Feature Learning for Structured Reconstruction
IEEE International Conference on Computer Vision (ICCV), 2023
Ziqiong Lu
Linxi Huan
Qiyuan Ma
Xianwei Zheng
263
2
0
18 Sep 2023
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation
Nastaran Darabi
Maeesha Binte Hashem
Hongyi Pan
Ahmet Cetin
Wilfred Gomes
A. R. Trivedi
179
6
0
04 Sep 2023
Neural Network Pruning as Spectrum Preserving Process
S. Yao
Dantong Yu
I. Koutis
CVBM
173
1
0
18 Jul 2023
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
IEEE Access (IEEE Access), 2023
Chenqiu Zhao
Guanfang Dong
Shupei Zhang
Zijie Tan
Anup Basu
414
4
0
17 Apr 2023
Transform Once: Efficient Operator Learning in Frequency Domain
Neural Information Processing Systems (NeurIPS), 2022
Michael Poli
Stefano Massaroli
Federico Berto
Minjun Kim
Tri Dao
Christopher Ré
Stefano Ermon
171
24
0
26 Nov 2022
Boosting Night-time Scene Parsing with Learnable Frequency
IEEE Transactions on Image Processing (IEEE TIP), 2022
Zhifeng Xie
Sen Wang
Ke Xu
Zhizhong Zhang
Xin Tan
Yuan Xie
Lizhuang Ma
199
35
0
30 Aug 2022
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
AAAI Conference on Artificial Intelligence (AAAI), 2022
Edith Cohen
Jelani Nelson
Tamas Sarlos
Uri Stemmer
AAML
187
14
0
03 Jul 2022
ORC: Network Group-based Knowledge Distillation using Online Role Change
IEEE International Conference on Computer Vision (ICCV), 2022
Jun-woo Choi
Hyeon Cho
Seockhwa Jeong
Wonjun Hwang
192
5
0
01 Jun 2022
Fast Vision Transformers with HiLo Attention
Neural Information Processing Systems (NeurIPS), 2022
Zizheng Pan
Jianfei Cai
Bohan Zhuang
613
265
0
26 May 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
International Conference on Learning Representations (ICLR), 2022
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
256
12
0
06 Apr 2022
On the Robustness of CountSketch to Adaptive Inputs
International Conference on Machine Learning (ICML), 2022
E. Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
M. Shechner
Uri Stemmer
AAML
229
29
0
28 Feb 2022
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
IEEE International Conference on Computer Vision (ICCV), 2021
Takashi Isobe
Dong Li
Lu Tian
Weihua Chen
Yi Shan
Shengjin Wang
OOD
323
75
0
07 Aug 2021
Model Pruning Based on Quantified Similarity of Feature Maps
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Zidu Wang
Xue-jun Liu
Long Huang
Yuxiang Chen
Yufei Zhang
Zhikang Lin
Rui Wang
366
24
0
13 May 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation
Canadian Conference on Computer and Robot Vision (CRV), 2021
Xiangyu Chen
Guanghui Wang
263
27
0
11 May 2021
EZCrop: Energy-Zoned Channels for Robust Output Pruning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
R. Lin
Jie Ran
Dongpeng Wang
King Hung Chiu
Ngai Wong
190
9
0
08 May 2021
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2021
Sicong Liu
Bin Guo
Ke Ma
Zhiwen Yu
Junzhao Du
171
10
0
28 Jan 2021
Focal Frequency Loss for Image Reconstruction and Synthesis
IEEE International Conference on Computer Vision (ICCV), 2020
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
486
406
0
23 Dec 2020
FcaNet: Frequency Channel Attention Networks
IEEE International Conference on Computer Vision (ICCV), 2020
Zequn Qin
Pengyi Zhang
Leilei Gan
Xi Li
514
1,019
0
22 Dec 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
393
97
0
02 Sep 2020
Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection
Seyed Amir Tafrishi
Xiaotian Dai
Vahid E. Kandjani
219
3
0
21 Aug 2020
Robust Learning with Frequency Domain Regularization
Weiyu Guo
Yidong Ouyang
AAML
254
2
0
07 Jul 2020
Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders
Baurzhan Muminov
L. Vuong
155
3
0
15 May 2020
DP-Net: Dynamic Programming Guided Deep Neural Network Compression
Dingcheng Yang
Wenjian Yu
Ao Zhou
Haoyuan Mu
G. Yao
Xiaoyi Wang
159
6
0
21 Mar 2020
Learning in the Frequency Domain
Computer Vision and Pattern Recognition (CVPR), 2020
Kai Xu
Minghai Qin
Fei Sun
Yuhao Wang
Yen-kuang Chen
Fengbo Ren
480
552
0
27 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems
IEEE Communications Surveys and Tutorials (COMST), 2020
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
308
425
0
22 Feb 2020
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling
IEEE International Conference on Data Engineering (ICDE), 2020
Mu Yuan
Lan Zhang
Xiangyang Li
Hui Xiong
VLM
197
19
0
08 Feb 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform
Pattern Recognition (Pattern Recognit.), 2020
Matej Ulicny
V. Krylov
Rozenn Dahyot
297
55
0
18 Jan 2020
Band-limited Training and Inference for Convolutional Neural Networks
International Conference on Machine Learning (ICML), 2019
Adam Dziedzic
John Paparrizos
S. Krishnan
Aaron J. Elmore
Michael Franklin
204
64
0
21 Nov 2019
A Comparative Study of Neural Network Compression
H. Baktash
Emanuele Natale
L. Viennot
AAML
117
0
0
24 Oct 2019
Improved Techniques for Training Adaptive Deep Networks
IEEE International Conference on Computer Vision (ICCV), 2019
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
252
151
0
17 Aug 2019
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
Neural Networks (NN), 2019
Zhisheng Zhong
Fangyin Wei
Zhouchen Lin
Chao Zhang
171
31
0
18 Jun 2019
Scalable Model Compression by Entropy Penalized Reparameterization
International Conference on Learning Representations (ICLR), 2019
Deniz Oktay
Johannes Ballé
Saurabh Singh
Abhinav Shrivastava
350
46
0
15 Jun 2019
Harmonic Networks with Limited Training Samples
European Signal Processing Conference (EUSIPCO), 2019
Matej Ulicny
V. Krylov
Rozenn Dahyot
281
19
0
30 Apr 2019
Hybrid Cosine Based Convolutional Neural Networks
Adrià Ciurana
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
123
4
0
03 Apr 2019
CircConv: A Structured Convolution with Low Complexity
AAAI Conference on Artificial Intelligence (AAAI), 2019
Siyu Liao
Zhe Li
Bo Pan
Qinru Qiu
Yanzhi Wang
Bo Yuan
213
18
0
28 Feb 2019
Tensor Dropout for Robust Learning
Arinbjorn Kolbeinsson
Jean Kossaifi
Yannis Panagakis
Adrian Bulat
Anima Anandkumar
I. Tzoulaki
Paul Matthews
OOD
477
2
0
27 Feb 2019
Exploring Weight Symmetry in Deep Neural Networks
S. Hu
Sergey Zagoruyko
N. Komodakis
310
37
0
28 Dec 2018
Towards a Theoretical Understanding of Hashing-Based Neural Nets
Yibo Lin
Zhao Song
Lin F. Yang
203
7
0
26 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs
Matej Ulicny
V. Krylov
Rozenn Dahyot
219
8
0
07 Dec 2018
See far with TPNET: a Tile Processor and a CNN Symbiosis
A. Filippov
Oleg Dzhimiev
3DH
ViT
117
1
0
20 Nov 2018
Deep
k
k
k
-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
Junru Wu
Yue Wang
Zhenyu Wu
Zinan Lin
Ashok Veeraraghavan
Yingyan Lin
209
121
0
24 Jun 2018
Homomorphic Parameter Compression for Distributed Deep Learning Training
Jaehee Jang
Byunggook Na
Sungroh Yoon
FedML
198
1
0
28 Nov 2017
Deep Neural Network Approximation using Tensor Sketching
S. Kasiviswanathan
Nina Narodytska
Hongxia Jin
193
10
0
21 Oct 2017
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
D. Tran
Alexandros Iosifidis
Moncef Gabbouj
307
43
0
28 Sep 2017
1
2
Next
Page 1 of 2
