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Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

28 August 2023
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
    BDL
ArXivPDFHTML

Papers citing "Maestro: Uncovering Low-Rank Structures via Trainable Decomposition"

10 / 10 papers shown
Title
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
42
0
0
17 Feb 2025
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for
  Scalable Training
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
Philip Zmushko
Aleksandr Beznosikov
Martin Takáč
Samuel Horváth
34
0
0
12 Nov 2024
MELTing point: Mobile Evaluation of Language Transformers
MELTing point: Mobile Evaluation of Language Transformers
Stefanos Laskaridis
Kleomenis Katevas
Lorenzo Minto
Hamed Haddadi
21
4
0
19 Mar 2024
Efficient Compression of Overparameterized Deep Models through
  Low-Dimensional Learning Dynamics
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics
Soo Min Kwon
Zekai Zhang
Dogyoon Song
Laura Balzano
Qing Qu
25
2
0
08 Nov 2023
Cuttlefish: Low-Rank Model Training without All the Tuning
Cuttlefish: Low-Rank Model Training without All the Tuning
Hongyi Wang
Saurabh Agarwal
Pongsakorn U-chupala
Yoshiki Tanaka
Eric P. Xing
Dimitris Papailiopoulos
OffRL
42
21
0
04 May 2023
Efficient and Private Federated Learning with Partially Trainable
  Networks
Efficient and Private Federated Learning with Partially Trainable Networks
Hakim Sidahmed
Zheng Xu
Ankush Garg
Yuan Cao
Mingqing Chen
FedML
36
13
0
06 Oct 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the
  wild
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
L. Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
93
41
0
28 Sep 2021
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
63
56
0
03 May 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
162
206
0
26 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
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