brianlan / pytorch-grad-normLinks
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
☆271Updated 3 years ago
Alternatives and similar repositories for pytorch-grad-norm
Users that are interested in pytorch-grad-norm are comparing it to the libraries listed below
Sorting:
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆638Updated 5 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 4 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆560Updated 4 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆91Updated 6 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆724Updated 3 years ago
- ☆148Updated 3 years ago
- A list of multi-task learning papers and projects.☆382Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆867Updated 5 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆233Updated 4 months ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆834Updated 3 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,053Updated last year
- PyTorch implementation of the GradNorm☆110Updated last year
- Multi-head attention in PyTorch☆154Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆391Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆375Updated 4 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆371Updated 3 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆140Updated 2 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆198Updated 3 years ago
- Awesome Multitask Learning Resources☆672Updated 4 years ago
- 这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量☆232Updated 5 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆451Updated 2 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆333Updated 5 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆341Updated 7 years ago
- 全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data …☆491Updated last month
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆572Updated last year