tripdancer0916 / keras-knowledge-distillation
Keras implementation of knowledge distillation(Hinton, et al. 2015)
☆19Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for keras-knowledge-distillation
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- ☆21Updated 2 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆20Updated 5 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆37Updated 7 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆52Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆90Updated 3 years ago
- Training Signal Annealing☆13Updated 4 years ago
- ☆51Updated 3 years ago
- Weighted Focal Loss for multilabel classification☆54Updated 6 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- a simple pytorch implement of Multi-Sample Dropout☆56Updated 5 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 5 years ago
- Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN☆29Updated 7 years ago
- RAdam optimizer for keras☆71Updated 5 years ago
- Keras + tensorflow experiments with knowledge distillation on EMNIST dataset☆35Updated 7 years ago
- Official PyTorch implementation for ECCV'20 paper: Deep Image Clustering with Category-Style Representation☆17Updated 4 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆18Updated 5 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Updated 5 years ago
- SSL using PyTorch☆49Updated 4 years ago
- pytorch gpu memory check☆50Updated 5 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆55Updated 6 years ago
- Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.☆27Updated 5 years ago
- Focal Loss of multi-classification in tensorflow☆79Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- [CVPR 2018] Feedback-prop: Convolutional Neural Network Inference under Partial Evidence☆14Updated 6 years ago