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A Low Effort Approach to Structured CNN Design Using PCA

A Low Effort Approach to Structured CNN Design Using PCA

15 December 2018
Isha Garg
Priyadarshini Panda
Kaushik Roy
ArXivPDFHTML

Papers citing "A Low Effort Approach to Structured CNN Design Using PCA"

8 / 8 papers shown
Title
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
25
11
0
11 Aug 2022
coVariance Neural Networks
coVariance Neural Networks
Saurabh Sihag
Gonzalo Mateos
Corey McMillan
Alejandro Ribeiro
31
10
0
31 May 2022
Complexity-aware Adaptive Training and Inference for Edge-Cloud
  Distributed AI Systems
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
Yinghan Long
I. Chakraborty
G. Srinivasan
Kaushik Roy
24
14
0
14 Sep 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural
  Networks
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
21
38
0
26 Apr 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
47
269
0
17 Mar 2021
Derivative-Informed Projected Neural Networks for High-Dimensional
  Parametric Maps Governed by PDEs
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
Thomas O'Leary-Roseberry
Umberto Villa
Peng Chen
Omar Ghattas
47
69
0
30 Nov 2020
Principal Component Networks: Parameter Reduction Early in Training
Principal Component Networks: Parameter Reduction Early in Training
R. Waleffe
Theodoros Rekatsinas
3DPC
11
9
0
23 Jun 2020
Constructing Energy-efficient Mixed-precision Neural Networks through
  Principal Component Analysis for Edge Intelligence
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence
I. Chakraborty
Deboleena Roy
Isha Garg
Aayush Ankit
Kaushik Roy
24
37
0
04 Jun 2019
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