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AIzaSyAYiBZKx7MnpbEhh9jyipgxe19OcubqV5w
October 1, 2025
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knowledge transfer/ distillation
Category:
Иное
Обновлено:
30 авг 2019
0
0
538
Авторы
Created by
龚成
Attachments
Comments
Quantization timeline
By
龚成
29 мар 2020
1
0
782
Pruning
By
龚成
30 авг 2019
1
0
647
decomposation
By
龚成
30 авг 2019
0
0
456
New timeline
By
龚成
22 авг 2019
0
0
425
Pruning Entropy
By
龚成
12 ноя 2019
0
0
377
New timeline
By
龚成
22 янв 2020
0
0
302
События
Geoffrey Hinton: Distilling the Knowledge in a Neural Network, arxiv, 2015
Cristian Buciluǎ: Model compression, SIGKDD, 2006
Jimmy Ba: Do Deep Nets Really eed to be Deep? , NIPS, 2014
Adriana Romero: FitNets: Hints for Thin Deep Nets, arxiv, 2015
Net2Net: Accelerating Learning via Knowledge Transfer, arxiv, 2016
Zhizhong Li: Learning without Forgetting, TPAMI, 2017
Heng Wang: Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network, ISBI, 2019
LightweightNet, PR, 2019
Rohan Anil: Large scale distributed neural network training through online distillation, 2018
Tommaso Furlanello: Born Again Neural Networks, 2018
Ilija Radosavovic: Data Distillation: Towards Omni-Supervised Learning, CVPR, 2018
Nicholas Frosst: Distilling a Neural Network Into a Soft Decision Tree, 2017
Junho Yim: A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning, CVPR, 2017
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