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Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
28 August 2023
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
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Papers citing
"Maestro: Uncovering Low-Rank Structures via Trainable Decomposition"
50 / 55 papers shown
Title
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Federated Learning for Inference at Anytime and Anywhere
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Luyang Liu
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The Future of Consumer Edge-AI Computing
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Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
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On-Device Training Under 256KB Memory
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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David A. Patterson
Joseph E. Gonzalez
Urs Holzle
Quoc V. Le
Chen Liang
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11 Apr 2022
Rare Gems: Finding Lottery Tickets at Initialization
Kartik K. Sreenivasan
Jy-yong Sohn
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Eric P. Xing
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48
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Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
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Joe Spisak
R. Jain
Michael G. Rabbat
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Efficient and Private Federated Learning with Partially Trainable Networks
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Zheng Xu
Ankush Garg
Yuan Cao
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Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
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Ilias Leontiadis
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Only Train Once: A One-Shot Neural Network Training And Pruning Framework
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Bo Ji
Tianyu Ding
Biyi Fang
Guanyi Wang
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Yixin Shi
Sheng Yi
Xiao Tu
85
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15 Jul 2021
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
Tian-Chun Ye
S. Du
49
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LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
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17 Jun 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
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Alexandros Kouris
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Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
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Pufferfish: Communication-efficient Models At No Extra Cost
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Saurabh Agarwal
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60
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05 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
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Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
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CLIP
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26 Feb 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
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Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
216
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0
26 Feb 2021
Hyperparameter Transfer Learning with Adaptive Complexity
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Aaron Klein
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HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
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Jie Ding
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ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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139
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Universally Slimmable Networks and Improved Training Techniques
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Parameter-Efficient Transfer Learning for NLP
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A. Giurgiu
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Bruna Morrone
Quentin de Laroussilhe
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Mona Attariyan
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Slimmable Neural Networks
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L. Yang
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Jianchao Yang
Thomas Huang
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Jakub Konecný
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Rethinking the Value of Network Pruning
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Mingjie Sun
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The Convergence of Sparsified Gradient Methods
Dan Alistarh
Torsten Hoefler
M. Johansson
Sarit Khirirat
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165
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
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Raef Bassily
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BlockDrop: Dynamic Inference Paths in Residual Networks
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Tushar Nagarajan
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To prune, or not to prune: exploring the efficacy of pruning for model compression
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Attention Is All You Need
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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