MingSun-Tse / Regularization-Pruning
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
☆83Updated 3 years ago
Alternatives and similar repositories for Regularization-Pruning:
Users that are interested in Regularization-Pruning are comparing it to the libraries listed below
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- ☆30Updated 2 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated 2 years ago
- In progress.☆63Updated 11 months ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 4 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆46Updated last year
- Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).☆33Updated 2 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆87Updated 2 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 5 years ago
- ☆10Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 3 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 3 years ago
- ☆25Updated 3 years ago
- ☆30Updated 4 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆36Updated 2 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆52Updated last year
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆48Updated 2 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆29Updated 3 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 4 years ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆33Updated last year
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆14Updated 2 years ago
- ☆43Updated last year