yaringal / multi-task-learning-exampleLinks
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
☆867Updated 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☆563Updated 4 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆724Updated 3 years ago
- Awesome Multitask Learning Resources☆671Updated 4 years ago
- ☆148Updated 3 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,058Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆834Updated 3 years ago
- A list of multi-task learning papers and projects.☆382Updated 3 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆343Updated 7 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- A PyTorch Implementation of Focal Loss.☆991Updated 6 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
- some tircks for PyTorch☆576Updated 5 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆641Updated 5 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆804Updated last year
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆760Updated 4 years ago
- ☆1,145Updated 2 years ago
- list of efficient attention modules☆1,019Updated 4 years ago
- The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.☆622Updated 6 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 3 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆547Updated 6 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆571Updated last year
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆613Updated 4 years ago
- Implementation of the mixup training method☆471Updated 7 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,116Updated 2 years ago
- Siamese Network implementation using Pytorch☆279Updated 2 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆757Updated 4 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆452Updated 2 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,334Updated 5 years ago