Shiwei Liu
Title
Cited by
Cited by
Year
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy
Neural Computing and Applications 33 (7), 2589-2604, 2021
362021
Efficient and effective training of sparse recurrent neural networks
S Liu, I Ni’mah, V Menkovski, DC Mocanu, M Pechenizkiy
Neural Computing and Applications, 1-12, 2021
14*2021
Selfish sparse RNN training
S Liu, DC Mocanu, Y Pei, M Pechenizkiy
International Conference on Machine Learning (ICML 2021), 2021
122021
Do we actually need dense over-parameterization? in-time over-parameterization in sparse training
S Liu, L Yin, DC Mocanu, M Pechenizkiy
International Conference on Machine Learning (ICML 2021), 2021
92021
Topological Insights into Sparse Neural Networks
S Liu, T Van der Lee, A Yaman, Z Atashgahi, D Ferraro, G Sokar, ...
European Conference on Machine Learning (ECML 2020), 2020
9*2020
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
42021
Learning Sparse Neural Networks for Better Generalization
S Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2020
22020
On improving deep learning generalization with adaptive sparse connectivity
S Liu, DC Mocanu, M Pechenizkiy
ICML 2019 workshop of Understanding and Improving Generalization in Deep …, 2019
22019
Hierarchical Semantic Segmentation using Psychometric Learning
L Yin, V Menkovski, S Liu, M Pechenizkiy
arXiv preprint arXiv:2107.03212, 2021
12021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ...
arXiv preprint arXiv:2106.14568, 2021
12021
Sparse Unbalanced GAN Training with In-Time Over-Parameterization
S Liu, Y Tian, T Chen, L Shen
2021
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity
S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ...
arXiv e-prints, arXiv: 2106.14568, 2021
2021
Network Performance Optimization with Real Time Traffic Prediction in Data Center Network
F Yan, S Liu, N Calabretta
2020 European Conference on Optical Communications (ECOC), 1-4, 2020
2020
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
Z Atashgahi, J Pieterse, S Liu, D Constantin Mocanu, R Veldhuis, ...
arXiv e-prints, arXiv: 1903.07138, 2019
2019
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