bohanzhuang / Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks
This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
☆20Updated 3 years ago
Alternatives and similar repositories for Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks:
Users that are interested in Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks are comparing it to the libraries listed below
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- ☆39Updated 2 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆30Updated last year
- ☆35Updated 5 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆35Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 5 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆89Updated last year
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- Conditional channel- and precision-pruning on neural networks☆73Updated 5 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 2 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆58Updated 4 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Official code of "NAS acceleration via proxy data", IJCAI21☆10Updated 2 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago