a7b23 / Distilling-the-knowledge-in-neural-networkLinks
Teaches a student network from the knowledge obtained via training of a larger teacher network
☆159Updated 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:
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆265Updated 6 years ago
- TensorFlow Implementation of Deep Mutual Learning☆325Updated 7 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆262Updated 6 years ago
- PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression☆59Updated 8 years ago
- Knowledge Distillation using Tensorflow☆142Updated 6 years ago
- extract features by maximizing mutual information☆148Updated 6 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆176Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 6 years ago
- FitNets: Hints for Thin Deep Nets☆212Updated 10 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆250Updated 5 years ago
- Implementation of the mixup training method☆471Updated 7 years ago
- Pytorch implementation of SNAS☆75Updated 7 years ago
- PyTorch implementation Large-Margin Softmax (L-Softmax) loss☆103Updated 7 years ago
- A universal and efficient framework for training well-performing light net☆125Updated 8 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- pytorch implementation of network-in-network model on cifar10☆51Updated 7 years ago
- A list of multi-task machine learning papers.☆37Updated 7 years ago
- Implementation of model compression with knowledge distilling method.☆342Updated 8 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Updated 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 6 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆337Updated 7 years ago
- The Pytorch Implementation of L-Softmax☆189Updated 7 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 code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 7 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☆103Updated 6 years ago
- Random miniprojects with pytorch.☆170Updated 7 years ago
- The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.☆622Updated 6 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 3 years ago