irapha / replayed_distillation
Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)
☆79Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for replayed_distillation
- Low-rank convolutional neural networks☆96Updated 8 years ago
- ☆53Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆139Updated 5 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆125Updated 6 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆102Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆75Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆113Updated 6 years ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- ☆87Updated 6 years ago
- ☆134Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- ☆33Updated 7 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆120Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆56Updated 5 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆137Updated 6 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆146Updated 6 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆140Updated last year
- Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017☆32Updated 6 years ago
- Implementation for Trained Ternary Network.☆108Updated 7 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- Related Paper of Efficient Deep Neural Networks☆86Updated 3 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆59Updated 6 years ago
- Reducing the size of convolutional neural networks☆112Updated 6 years ago