tejasgodambe / knowledge-distillationLinks
Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN
☆28Updated 8 years ago
Alternatives and similar repositories for knowledge-distillation
Users that are interested in knowledge-distillation are comparing it to the libraries listed below
Sorting:
- This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training …☆47Updated 6 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- ☆51Updated 6 years ago
- A machine learning experiment☆180Updated 8 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago
- Curriculum Learning - Tensorflow☆40Updated 7 years ago
- Zalando's MNIST replacement.☆38Updated 6 years ago
- Knowledge Distillation using Tensorflow☆142Updated 6 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Updated 6 years ago
- CP and Tucker decomposition for Convolutional Neural Networks☆87Updated 7 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 6 years ago
- code for triplet GAN☆31Updated 7 years ago
- Label Distribution Learning Forest☆30Updated 8 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Initial Code for the paper "incremental learning through deep adaptation"☆51Updated 6 years ago
- Teaches a student network from the knowledge obtained via training of a larger teacher network☆158Updated 7 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Updated 7 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 6 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 6 years ago
- ☆100Updated 5 years ago