Hui-Li / multi-task-learning-example-PyTorchLinks
☆148Updated 3 years ago
Alternatives and similar repositories for multi-task-learning-example-PyTorch
Users that are interested in multi-task-learning-example-PyTorch are comparing it to the libraries listed below
Sorting:
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆180Updated 3 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆556Updated 3 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆716Updated 3 years ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆864Updated 5 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆270Updated 3 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆133Updated 7 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆176Updated 3 years ago
- Siamese Network implementation using Pytorch☆278Updated 2 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Updated 6 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆826Updated 3 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆339Updated 6 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆90Updated 5 years ago
- Multi-task learning for image classification implemented in PyTorch.☆98Updated 6 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆370Updated 3 years ago
- Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…☆151Updated 6 years ago
- PyTorch implementation of AutoAugment.☆159Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Updated 5 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆450Updated 2 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆569Updated last year
- Implementation of the mixup training method☆466Updated 7 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 6 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆325Updated 7 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago