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knowledge transfer/ distillation
mise à jour avec succès 30 août 2019
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龚成
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Quantization timeline
By
龚成
29 mars 2020
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616
Pruning
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龚成
30 août 2019
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465
decomposation
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龚成
30 août 2019
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324
New timeline
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龚成
22 août 2019
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274
Pruning Entropy
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龚成
12 nov. 2019
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240
New timeline
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龚成
22 janv. 2020
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177
Les événements
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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