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Lossless Compression of Structured Convolutional Models via Lifting
v1v2 (latest)

Lossless Compression of Structured Convolutional Models via Lifting

International Conference on Learning Representations (ICLR), 2020
13 July 2020
Gustav Sourek
F. Železný
Ondrej Kuzelka
ArXiv (abs)PDFHTML

Papers citing "Lossless Compression of Structured Convolutional Models via Lifting"

10 / 10 papers shown
Symmetry in Neural Network Parameter Spaces
Symmetry in Neural Network Parameter Spaces
Bo Zhao
Robin Walters
Rose Yu
554
15
0
16 Jun 2025
Getting Away with More Network Pruning: From Sparsity to Geometry and
  Linear Regions
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear RegionsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2023
Junyang Cai
Khai-Nguyen Nguyen
Nishant Shrestha
Aidan Good
Ruisen Tu
Xin Yu
Shandian Zhe
Thiago Serra
MLT
321
11
0
19 Jan 2023
Towards Global Neural Network Abstractions with Locally-Exact
  Reconstruction
Towards Global Neural Network Abstractions with Locally-Exact ReconstructionNeural Networks (NN), 2022
Edoardo Manino
I. Bessa
Lucas C. Cordeiro
255
3
0
21 Oct 2022
Quiver neural networks
Quiver neural networks
I. Ganev
Robin Walters
219
4
0
26 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning AlgorithmNeural Information Processing Systems (NeurIPS), 2022
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
394
12
0
07 Jun 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
477
60
0
09 Mar 2022
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph
  Collections [Extended Version]
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version]Similarity Search and Applications (SISAP), 2021
Lucas Gnecco
N. Boria
Sébastien Bougleux
Florian Yger
David B. Blumenthal
126
0
0
30 Jul 2021
Universal approximation and model compression for radial neural networks
Universal approximation and model compression for radial neural networks
I. Ganev
Twan van Laarhoven
Robin Walters
357
10
0
06 Jul 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
Scaling Up Exact Neural Network Compression by ReLU StabilityNeural Information Processing Systems (NeurIPS), 2021
Thiago Serra
Xin Yu
Abhinav Kumar
Srikumar Ramalingam
411
27
0
15 Feb 2021
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Beyond Graph Neural Networks with Lifted Relational Neural NetworksMachine-mediated learning (ML), 2020
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
323
20
0
13 Jul 2020
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