Les événements
Le Cun: optimal brain damage (OBD) 1990Hassibi: optimal brain surgeon (OBS) 1993Srinivas: Data-free parameter
pruning for Deep Neural
Networks 2015Han Song: Deep Compression 2015Sajid Anwar: Structured pruning of deep
convolutional neural networks 2017Adam Polyak: Channel-level
acceleration of deep face
representations 2015Hao Li: Pruning Filters for
Efficient ConvNetsHengyuan Hu: Network Trimming 2016ThiNet: Pruning CNN
Filters for a Thinner NetZi Wang:
Towards Efficient Convolutional Neural
Networks Through Low-Error Filter Saliency
Estimation, PRICAI, 2019Huizi Mao:
Exploring the Granularity of Sparsity
in Convolutional Neural Networks,
CVPR workshop, 2017Hewahi:
Neural network pruning based
on input importance, 2019Pavlo Molchanov:
Importance Estimation for Neural
Network Pruning, CVPR, 2019Zhuang Liu:
Rethinking the Value of Network
Pruning, arxiv, 2018Jonathan Frankle:
The Lottery Ticket Hypothesis: Finding Sparse,
Trainable Neural Networks, arxiv, 2019Qiangui Huang:
Learning to Prune Filters in Convolutional
Neural Networks, WACV, 2018Yihui He:
Channel Pruning for
Accelerating Very Deep
Neural Networks, CVPR, 2017Tien-Ju Yang:
Designing Energy-Efficient Convolutional
Neural Networks Using Energy-Aware
Pruning, CVPR, 2017Ji Lin: Runtime Neural Pruning,
NIPS, 2017F Manessi:
Automated Pruning for Deep
Neural Network, 2018
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