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Variational Student: Learning Compact and Sparser Networks in Knowledge
  Distillation Framework

Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
26 October 2019
Srinidhi Hegde
Ranjitha Prasad
R. Hebbalaguppe
Vishwajith Kumar
ArXiv (abs)PDFHTML

Papers citing "Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework"

6 / 6 papers shown
Class-aware Information for Logit-based Knowledge Distillation
Class-aware Information for Logit-based Knowledge Distillation
Shuoxi Zhang
Hanpeng Liu
John E. Hopcroft
Kun He
112
3
0
27 Nov 2022
Learning Knowledge Representation with Meta Knowledge Distillation for
  Single Image Super-Resolution
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-ResolutionJournal of Visual Communication and Image Representation (JVCIR), 2022
Ziru Xu
Zhenzhong Chen
Shan Liu
SupR
118
6
0
18 Jul 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
195
35
0
07 Jan 2022
Efficient Inference via Universal LSH Kernel
Efficient Inference via Universal LSH Kernel
Zichang Liu
Benjamin Coleman
Anshumali Shrivastava
76
1
0
21 Jun 2021
Layer-Wise Interpretation of Deep Neural Networks Using Identity
  Initialization
Layer-Wise Interpretation of Deep Neural Networks Using Identity InitializationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Shohei Kubota
Hideaki Hayashi
Tomohiro Hayase
S. Uchida
MILMAI4CE
134
1
0
26 Feb 2021
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
346
114
0
05 Jun 2020
1
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