yanivbl6 / quantized_meanfieldLinks
This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
☆13Updated 6 years ago
Alternatives and similar repositories for quantized_meanfield
Users that are interested in quantized_meanfield are comparing it to the libraries listed below
Sorting:
- ☆52Updated 6 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.0934…☆8Updated 3 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- ☆70Updated 5 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆33Updated 4 years ago
- ☆23Updated 6 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 2 years ago
- ☆22Updated 7 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 3 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 4 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Updated 6 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- Pruning methods for pytorch with an optimizer-like interface☆15Updated 5 years ago