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0/1 Deep Neural Networks via Block Coordinate Descent

0/1 Deep Neural Networks via Block Coordinate Descent

19 June 2022
Hui Zhang
Shenglong Zhou
Geoffrey Ye Li
N. Xiu
ArXivPDFHTML

Papers citing "0/1 Deep Neural Networks via Block Coordinate Descent"

8 / 8 papers shown
Title
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Le-Trung Nguyen
Ael Quélennec
Van-Tam Nguyen
Enzo Tartaglione
48
0
0
08 May 2025
Model Selection with Model Zoo via Graph Learning
Model Selection with Model Zoo via Graph Learning
Ziyu Li
Hilco van der Wilk
Danning Zhan
Megha Khosla
A. Bozzon
Rihan Hai
51
1
0
05 Apr 2024
Towards On-device Learning on the Edge: Ways to Select Neurons to Update
  under a Budget Constraint
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint
Ael Quélennec
Enzo Tartaglione
Pavlo Mozharovskyi
Van-Tam Nguyen
36
2
0
08 Dec 2023
Teaching CLIP to Count to Ten
Teaching CLIP to Count to Ten
Roni Paiss
Ariel Ephrat
Omer Tov
Shiran Zada
Inbar Mosseri
Michal Irani
Tali Dekel
VLM
CLIP
39
93
0
23 Feb 2023
A comprehensive review of Binary Neural Network
A comprehensive review of Binary Neural Network
Chunyu Yuan
S. Agaian
MQ
50
95
0
11 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
153
685
0
31 Jan 2021
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu
Ce Li
Baochang Zhang
Jiawei Han
Xianbin Cao
Jianzhuang Liu
David Doermann
3DV
176
86
0
30 Nov 2018
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
84
129
0
16 Oct 2018
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