yanivbl6 / quantized_meanfield
This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
☆13Updated 5 years ago
Related projects: ⓘ
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- ☆53Updated 5 years ago
- ☆13Updated this week
- ☆31Updated this week
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆31Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- [ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vi…☆30Updated 6 months ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆17Updated 5 years ago
- ☆23Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆37Updated 2 years ago
- Pruning methods for pytorch with an optimizer-like interface☆15Updated 4 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 3 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆45Updated 3 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 3 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 4 years ago
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- structured sparsity regularization☆13Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 3 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 3 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 4 years ago
- ☆22Updated 6 years ago
- A Unified, Systematic Framework of Structured Weight Pruning for DNNs☆21Updated 6 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Updated 4 years ago
- ☆35Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Repository containing pruned models and related information☆35Updated 3 years ago
- Pytorch implementation of TRP☆44Updated 4 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆42Updated 5 years ago