knowledge transfer/ distillation
Category: Other
Updated: 30 Aug 2019
Contributors
Created by龚成
Attachments
Events
Geoffrey Hinton:
Distilling the Knowledge in a
Neural Network, arxiv, 2015Cristian Buciluǎ:
Model compression,
SIGKDD, 2006Jimmy Ba: Do Deep Nets Really
eed to be Deep? , NIPS, 2014Adriana Romero:
FitNets: Hints for Thin
Deep Nets, arxiv, 2015Net2Net: Accelerating Learning
via Knowledge Transfer, arxiv, 2016Zhizhong Li:
Learning without Forgetting,
TPAMI, 2017Heng Wang:
Segmenting Neuronal Structure
in 3D Optical Microscope Images
via Knowledge Distillation with
Teacher-Student Network, ISBI, 2019LightweightNet, PR, 2019Rohan Anil:
Large scale distributed neural network
training through online distillation, 2018Tommaso Furlanello:
Born Again Neural Networks, 2018Ilija Radosavovic:
Data Distillation: Towards
Omni-Supervised Learning, CVPR, 2018Nicholas Frosst:
Distilling a Neural Network Into
a Soft Decision Tree, 2017Junho Yim:
A Gift From Knowledge Distillation: Fast
Optimization, Network Minimization and
Transfer Learning, CVPR, 2017
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