sseung0703 / KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
☆266Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for KD_methods_with_TF
- Knowledge Distillation using Tensorflow☆142Updated 5 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆258Updated 5 years ago
- The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API☆108Updated 2 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- Papers for deep neural network compression and acceleration☆396Updated 3 years ago
- Implementation of model compression with knowledge distilling method.☆346Updated 7 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆329Updated 3 months ago
- A machine learning experiment☆182Updated 7 years ago
- a list of awesome papers on deep model ompression and acceleration☆349Updated 3 years ago
- A large scale study of Knowledge Distillation.☆217Updated 4 years ago
- FitNets: Hints for Thin Deep Nets☆204Updated 9 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 4 years ago
- Teaches a student network from the knowledge obtained via training of a larger teacher network☆156Updated 6 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆394Updated 3 years ago
- TensorFlow Implementation of Deep Mutual Learning☆319Updated 6 years ago
- PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression☆59Updated 7 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 3 years ago
- Random miniprojects with pytorch.☆173Updated 6 years ago
- Network acceleration methods☆178Updated 3 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆280Updated 6 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆351Updated 4 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆414Updated 4 years ago
- Bridging the gap Between Stability and Scalability in Neural Architecture Search☆141Updated 3 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 4 years ago
- FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search☆303Updated 3 months ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆875Updated 5 years ago
- ☆169Updated 3 years ago
- Pytorch implementation of SNAS☆75Updated 5 years ago