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Scalable and Sustainable Deep Learning via Randomized Hashing

Scalable and Sustainable Deep Learning via Randomized Hashing

26 February 2016
Ryan Spring
Anshumali Shrivastava
ArXivPDFHTML

Papers citing "Scalable and Sustainable Deep Learning via Randomized Hashing"

10 / 10 papers shown
Title
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training
  Complexity
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
31
21
0
21 Jun 2024
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and
  Approximate Distributions
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions
R. K. Jones
Homer Walke
Daniel E. Ritchie
28
24
0
25 Nov 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
41
27
0
13 Jul 2020
Deep Learning at the Edge
Deep Learning at the Edge
Sahar Voghoei
N. Tonekaboni
Jason G. Wallace
H. Arabnia
21
41
0
22 Oct 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency
  Improvement
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
Qing Yang
Jiachen Mao
Zuoguan Wang
H. Li
21
15
0
13 Sep 2019
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural
  Network Compression
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
Lazar Supic
R. Naous
Ranko Sredojevic
Aleksandra Faust
Vladimir M. Stojanović
19
4
0
30 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
45
1,306
0
12 Mar 2018
Easy over Hard: A Case Study on Deep Learning
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
22
196
0
01 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
55
97
0
22 Sep 2016
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