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Learning Implicitly Recurrent CNNs Through Parameter Sharing
v1v2 (latest)

Learning Implicitly Recurrent CNNs Through Parameter Sharing

26 February 2019
Pedro H. P. Savarese
Michael Maire
ArXiv (abs)PDFHTML

Papers citing "Learning Implicitly Recurrent CNNs Through Parameter Sharing"

29 / 29 papers shown
MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network
MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network
Matthew Raffel
Adwaith Renjith
Lizhong Chen
118
1
0
21 Oct 2025
ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters
ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters
Zhiwei Hao
Jianyuan Guo
Li Shen
Kai Han
Yehui Tang
Han Hu
Yunhe Wang
234
0
0
21 Oct 2025
Improving Memory Efficiency for Training KANs via Meta Learning
Improving Memory Efficiency for Training KANs via Meta Learning
Zhangchi Zhao
Jun Shu
Deyu Meng
Zongben Xu
159
1
0
09 Jun 2025
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
Chau Pham
Juan C. Caicedo
Bryan A. Plummer
318
4
0
25 Mar 2025
Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
Wenyi Lian
Patrick Micke
Patrick Micke
Natasa Sladoje
345
3
0
12 Mar 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential TasksInternational Conference on Learning Representations (ICLR), 2024
Nazia Tasnim
Bryan A. Plummer
CLLOffRL
477
0
0
25 Nov 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRAInternational Conference on Learning Representations (ICLR), 2024
Sangmin Bae
Adam Fisch
Hrayr Harutyunyan
Ziwei Ji
Seungyeon Kim
Tal Schuster
KELM
396
21
0
28 Oct 2024
Learning to Compose SuperWeights for Neural Parameter Allocation Search
Learning to Compose SuperWeights for Neural Parameter Allocation SearchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Piotr Teterwak
Soren Nelson
Nikoli Dryden
D. Bashkirova
Kate Saenko
Bryan A. Plummer
287
3
0
03 Dec 2023
STen: Productive and Efficient Sparsity in PyTorch
STen: Productive and Efficient Sparsity in PyTorch
Andrei Ivanov
Nikoli Dryden
Tal Ben-Nun
Saleh Ashkboos
Torsten Hoefler
221
6
0
15 Apr 2023
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU
  Network
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU NetworkInternational Conference on Machine Learning (ICML), 2023
Shijun Zhang
Jianfeng Lu
Hongkai Zhao
CoGe
220
9
0
29 Jan 2023
Neural Network Architecture Beyond Width and Depth
Neural Network Architecture Beyond Width and DepthNeural Information Processing Systems (NeurIPS), 2022
Zuowei Shen
Haizhao Yang
Shijun Zhang
3DVMDE
491
20
0
19 May 2022
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition
  in Smart Video Surveillance
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video SurveillanceIFIP International Information Security Conference (IFIP SEC), 2021
Justin Sanchez
Christopher Neff
Hamed Tabkhi
GNN
210
12
0
15 Jan 2022
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series
  Forecasting
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Ling-Hao Chen
Donghui Chen
Zongjiang Shang
Binqing Wu
Cen Zheng
Bo Wen
Wei Zhang
AI4TSAI4CE
194
139
0
13 Jan 2022
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
457
93
0
08 Nov 2021
Learning Versatile Convolution Filters for Efficient Visual Recognition
Learning Versatile Convolution Filters for Efficient Visual Recognition
Kai Han
Yunhe Wang
Chang Xu
Chunjing Xu
Enhua Wu
Dacheng Tao
139
8
0
20 Sep 2021
Parameterized Hypercomplex Graph Neural Networks for Graph
  Classification
Parameterized Hypercomplex Graph Neural Networks for Graph ClassificationInternational Conference on Artificial Neural Networks (ICANN), 2021
Tuan Le
Marco Bertolini
Frank Noé
Djork-Arné Clevert
151
16
0
30 Mar 2021
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts
  Network
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
Sijin Kim
Namhyuk Ahn
Kyung-ah Sohn
141
10
0
30 Sep 2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution
Ze Wang
Xiuyuan Cheng
Guillermo Sapiro
Qiang Qiu
96
9
0
04 Sep 2020
Image segmentation via Cellular Automata
Image segmentation via Cellular Automata
Mark Sandler
A. Zhmoginov
Liangcheng Luo
A. Mordvintsev
E. Randazzo
Blaise Agüera y Arcas
SSeg
246
20
0
11 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
393
118
0
04 Aug 2020
Growing Efficient Deep Networks by Structured Continuous Sparsification
Growing Efficient Deep Networks by Structured Continuous SparsificationInternational Conference on Learning Representations (ICLR), 2020
Xin Yuan
Pedro H. P. Savarese
Michael Maire
3DPC
194
51
0
30 Jul 2020
Neural networks with late-phase weights
Neural networks with late-phase weightsInternational Conference on Learning Representations (ICLR), 2020
J. Oswald
Seijin Kobayashi
Alexander Meulemans
Christian Henning
Benjamin Grewe
João Sacramento
300
38
0
25 Jul 2020
Neural Parameter Allocation Search
Neural Parameter Allocation Search
Bryan A. Plummer
Nikoli Dryden
Julius Frost
Torsten Hoefler
Kate Saenko
514
18
0
18 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
346
115
0
05 Jun 2020
Identification of Crystal Symmetry from Noisy Diffraction Patterns by A
  Shape Analysis and Deep Learning
Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learningnpj Computational Materials (npj Comput Mater), 2020
Leslie Ching Ow Tiong
Jeongrae Kim
S. Han
Donghun Kim
158
43
0
26 May 2020
Winning the Lottery with Continuous Sparsification
Winning the Lottery with Continuous SparsificationNeural Information Processing Systems (NeurIPS), 2019
Pedro H. P. Savarese
Hugo Silva
Michael Maire
384
150
0
10 Dec 2019
Full-Stack Filters to Build Minimum Viable CNNs
Full-Stack Filters to Build Minimum Viable CNNs
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Dacheng Tao
Chang Xu
MQ
115
3
0
06 Aug 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying
  Relationships in Clinical Time-Series
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-SeriesMachine Learning in Health Care (MLHC), 2019
Jeeheh Oh
Jiaxuan Wang
Shengpu Tang
Michael Sjoding
Jenna Wiens
OOD
160
12
0
07 Jun 2019
Discovering Neural Wirings
Discovering Neural WiringsNeural Information Processing Systems (NeurIPS), 2019
Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
AI4CE
552
128
0
03 Jun 2019
1
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