houlu369 / Loss-aware-Binarization
Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
☆18Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Loss-aware-Binarization
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆113Updated 6 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆11Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Pytorch implementation of TRP☆44Updated 4 years ago
- caffe implementation of single level quantization☆19Updated 5 years ago
- ☆18Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆32Updated 5 years ago
- Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆30Updated 4 months ago
- Code for BlockSwap (ICLR 2020).☆33Updated 3 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆50Updated 4 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 5 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆55Updated 6 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆75Updated 6 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆17Updated 5 years ago
- ☆23Updated 6 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 6 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- ☆53Updated 5 years ago
- ☆53Updated 5 years ago