lippman1125 / channel_pruning_lasso
channel pruning for accelerating very deep neural networks
☆11Updated 3 years ago
Related projects: ⓘ
- ☆45Updated last year
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆37Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 2 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆71Updated last year
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 4 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆23Updated 3 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 2 years ago
- PyTorch Implementation of AutoPruner☆22Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆43Updated 2 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆146Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆27Updated 9 months ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆71Updated 9 months ago
- ☆14Updated 3 years ago
- NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tr…☆26Updated 3 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆27Updated 4 years ago
- ☆9Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆63Updated 3 years ago
- ☆19Updated 4 years ago
- [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection☆44Updated 6 months ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆11Updated 2 years ago
- A simple reimplement Online Knowledge Distillation via Collaborative Learning with pytorch☆47Updated last year
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 2 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- ☆10Updated 11 months ago
- [ECCV-2022] Official implementation of MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition && Pytorch Implementations of…☆96Updated last year
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Updated 3 years ago
- [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".☆75Updated last month
- The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search☆21Updated last year
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆140Updated 3 years ago
- CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)☆65Updated 2 years ago