Stebėti
Shiwei Liu
Shiwei Liu
Postdoc, VITA group, The University of Texas at Austin
Patvirtintas el. paštas tue.nl - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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, 2589-2604, 2021
602021
Do we actually need dense over-parameterization? in-time over-parameterization in sparse training
S Liu, L Yin, DC Mocanu, M Pechenizkiy
ICML2021, International Conference on Machine Learning, 2021
442021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
NeurIPS2021, Advances in Neural Information Processing Systems, 2021
382021
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
27*2021
Selfish sparse RNN training
S Liu, DC Mocanu, Y Pei, M Pechenizkiy
ICML2021, International Conference on Machine Learning, 2021
232021
Topological Insights into Sparse Neural Networks
S Liu, T Van der Lee, A Yaman, Z Atashgahi, D Ferraro, G Sokar, ...
ECML2020, European Conference on Machine Learning, 2020
182020
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
S Liu, T Chen, X Chen, L Shen, DC Mocanu, Z Wang, M Pechenizkiy
ICLR2022, The International Conference on Learning Representations, 2022
152022
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, ...
ICLR2022, The International Conference on Learning Representations, 2021
152021
More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity
S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, M Pechenizkiy, D Mocanu, ...
ICLR2023, The International Conference on Learning Representations, 2022
112022
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
Z Atashgahi, J Pieterse, S Liu, DC Mocanu, R Veldhuis, M Pechenizkiy
Machine Learning Journal (ECML-PKDD 2022 journal track), 2019
11*2019
Learning Sparse Neural Networks for Better Generalization
S Liu
IJCAI2020 Doctoral Consortium, International Joint Conference on Artificial …, 2020
72020
Achieving personalized federated learning with sparse local models
T Huang, S Liu, L Shen, F He, W Lin, D Tao
arXiv preprint arXiv:2201.11380, 2022
52022
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
52019
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
S Liu, Y Tian, T Chen, L Shen
arXiv preprint arXiv:2203.02770, 2022
22022
Hierarchical semantic segmentation using psychometric learning
L Yin, V Menkovski, S Liu, M Pechenizkiy
arXiv preprint arXiv:2107.03212, 2021
22021
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 preprint arXiv:2106.14568, 2021
22021
Dynamic Sparse Network for Time Series Classification: Learning What to “See”
Q Xiao, B Wu, Y Zhang, S Liu, M Pechenizkiy, E Mocanu, DC Mocanu
NeurIPS2022, 36th Annual Conference on Neural Information Processing Systems, 2022
12022
Sparse Neural Network Training with In-Time Over-Parameterization
S Liu
PhD thesis, UT Eindhoven, 2022
12022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets
T Huang, T Chen, M Fang, V Menkovski, J Zhao, L Yin, Y Pei, DC Mocanu, ...
LoG2022, Learning on Graphs Conference (Best Paper Award), 2022
2022
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
L Yin, S Liu, F Meng, T Huang, V Menkovski, M Pechenizkiy
AAAI2023, Thirty-Seventh AAAI Conference on Artificial Intelligence, 2022
2022
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20