yaringal / multi-task-learning-exampleLinks
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
☆862Updated 5 years ago
Alternatives and similar repositories for multi-task-learning-example
Users that are interested in multi-task-learning-example are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆555Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆714Updated 3 years ago
- Awesome Multitask Learning Resources☆669Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,044Updated 11 months ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆269Updated 2 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆825Updated 3 years ago
- ☆147Updated 3 years ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆179Updated 3 years ago
- A PyTorch Implementation of Focal Loss.☆985Updated 5 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆633Updated 5 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆133Updated 7 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆339Updated 6 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- some tircks for PyTorch☆576Updated 5 years ago
- The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.☆620Updated 6 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆756Updated 4 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,106Updated 2 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆975Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆570Updated 11 months ago
- ☆1,141Updated 2 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆508Updated 3 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,185Updated 3 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆451Updated 2 years ago
- The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.☆312Updated 7 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated 9 months ago