Shiweiliuiiiiiii

Pinned Repositories

• BigGAN-PyTorch-master

  Language:Roff2100

• In-Time-Over-Parameterization

  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy

  Language:Python46216

• Selfish-RNN

  [ICML 2021] "Selfish Sparse RNN Training" by Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy

  Language:Python10133

• SET-MLP-ONE-MILLION-NEURONS

  [Neural Computing and Applications] "Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware" by Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy

  Language:HTML2102

• Sparse_Topology_Distance

  [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"

  Language:Python11203

• FreeTickets

  [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

  Language:Python27213

• GraNet

  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

  Language:Python271111

• Random_Pruning

  [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy

  Language:Python712010

• SLaK

  [ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

  Language:HTML26271922

• SMC-Bench

  [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, AJAY KUMAR JAISWAL, Zhangyang Wang

  Language:Python271102

Shiweiliuiiiiiii's Repositories