a7b23 / Distilling-the-knowledge-in-neural-networkLinks
Teaches a student network from the knowledge obtained via training of a larger teacher network
☆158Updated 7 years ago
Alternatives and similar repositories for Distilling-the-knowledge-in-neural-network
Users that are interested in Distilling-the-knowledge-in-neural-network are comparing it to the libraries listed below
Sorting:
- TensorFlow Implementation of Deep Mutual Learning☆322Updated 7 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆265Updated 5 years ago
- Knowledge Distillation using Tensorflow☆142Updated 5 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆259Updated 5 years ago
- PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression☆58Updated 7 years ago
- extract features by maximizing mutual information☆148Updated 5 years ago
- FitNets: Hints for Thin Deep Nets☆208Updated 10 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- Implementation of model compression with knowledge distilling method.☆343Updated 8 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 5 years ago
- 人工智能和机器学习领域的国际顶级会议NeurIPS论文收集☆101Updated 5 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)☆241Updated 6 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- PyTorch implementation Large-Margin Softmax (L-Softmax) loss☆102Updated 7 years ago
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆77Updated 6 years ago
- A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"☆145Updated 5 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆402Updated 4 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆333Updated 6 years ago
- [WIP] Implementation of Learning Transferable Architectures for Scalable Image Recognition in Pytorch☆29Updated 7 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- The Pytorch Implementation of L-Softmax☆188Updated 6 years ago
- pytorch implementation of network-in-network model on cifar10☆51Updated 6 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆207Updated 6 years ago
- The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.☆620Updated 6 years ago
- Random miniprojects with pytorch.☆171Updated 6 years ago