SimonVandenhende / Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
☆369Updated 2 years ago
Alternatives and similar repositories for Awesome-Multi-Task-Learning:
Users that are interested in Awesome-Multi-Task-Learning are comparing it to the libraries listed below
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆789Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆682Updated 2 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆710Updated last month
- Awesome Multitask Learning Resources☆653Updated 3 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆549Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆852Updated 4 years ago
- A curated list of long-tailed recognition resources.☆584Updated last year
- ☆144Updated 3 years ago
- An up-to-date list of works on Multi-Task Learning☆325Updated 2 months ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,002Updated 4 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆787Updated 11 months ago
- Code for "Gradient Surgery for Multi-Task Learning"☆309Updated 4 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆259Updated 2 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆653Updated 3 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆212Updated 8 months ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆595Updated 4 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆956Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆742Updated 3 years ago
- ☆471Updated 3 months ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆446Updated last year
- 📜 Self-Supervised Learning from Images: Up-to-date reading list.☆195Updated 2 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆132Updated last year
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆576Updated 2 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆312Updated 3 years ago
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆527Updated last month
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆496Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆563Updated 5 months ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆550Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago