Mikoto10032 / AutomaticWeightedLossLinks
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
☆633Updated 5 years ago
Alternatives and similar repositories for AutomaticWeightedLoss
Users that are interested in AutomaticWeightedLoss are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆270Updated 3 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆826Updated 3 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆556Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆717Updated 3 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 …☆487Updated last year
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,043Updated 11 months ago
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆390Updated 3 years ago
- A PyTorch Library for Multi-Task Learning☆2,387Updated 3 months ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆864Updated 5 years ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆450Updated 2 years ago
- code and trained models for "Attentional Feature Fusion"☆794Updated 4 years ago
- PyTorch implementation of the InfoNCE loss for self-supervised learning.☆579Updated last year
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,362Updated 2 years ago
- Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)☆584Updated 3 years ago
- ☆65Updated 5 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,248Updated 10 months ago
- A PyTorch Implementation of Focal Loss.☆985Updated 5 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆339Updated 6 years ago
- Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition☆576Updated 3 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,208Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆974Updated 3 years ago
- ☆148Updated 3 years ago
- Pytorch implementation for t-SNE with cuda to accelerate☆338Updated 2 years ago
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆771Updated 2 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆758Updated 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 4 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆781Updated 2 months ago
- The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI☆395Updated last year
- 整理 pytorch 单机多 GPU 训练方法与原理☆847Updated 3 years ago