Awesome Multitask Learning Resources
☆674Apr 13, 2021Updated 4 years ago
Alternatives and similar repositories for Multitask-Learning
Users that are interested in Multitask-Learning are comparing it to the libraries listed below
Sorting:
- A list of multi-task learning papers and projects.☆385Jan 31, 2022Updated 4 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆840Jan 13, 2022Updated 4 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆728Feb 7, 2022Updated 4 years ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Jan 21, 2020Updated 6 years ago
- Package to apply MTL on a few dataset☆26Jan 31, 2017Updated 9 years ago
- Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper☆11Aug 3, 2016Updated 9 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Jul 25, 2018Updated 7 years ago
- Multi Task Learning Package for Matlab☆21Aug 18, 2019Updated 6 years ago
- Multi-task feature learning☆15Jun 17, 2018Updated 7 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆870Jul 6, 2020Updated 5 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Sep 23, 2018Updated 7 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,070Sep 2, 2024Updated last year
- Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…☆133Jan 1, 2022Updated 4 years ago
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆823Mar 3, 2026Updated 2 weeks ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42May 29, 2018Updated 7 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆182Nov 2, 2021Updated 4 years ago
- A PyTorch Library for Multi-Task Learning☆2,531May 14, 2025Updated 10 months ago
- Multi-task learning via Structural Regularization☆136Feb 12, 2021Updated 5 years ago
- A list of multi-task machine learning papers.☆37Nov 4, 2018Updated 7 years ago
- Code for Sluice networks: Learning what to share between loosely related tasks☆155Jan 28, 2019Updated 7 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Sep 21, 2020Updated 5 years ago
- Source Code & Datasets for "Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data"☆12May 20, 2022Updated 3 years ago
- Multi-Task Deep Neural Networks for Natural Language Understanding☆2,257Mar 7, 2024Updated 2 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Sep 1, 2018Updated 7 years ago
- Source Code & Datasets for "FBL: Feature-Balanced Loss for Long-Tailed Visual Recognition"☆13Sep 3, 2022Updated 3 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Jun 3, 2019Updated 6 years ago
- Implementation of our SIGIR 2017 paper : "Multitask Learning for Fine-Grained Twitter Sentiment Analysis"☆10May 1, 2018Updated 7 years ago
- Implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"☆17Jan 10, 2022Updated 4 years ago
- TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`☆176Jan 14, 2019Updated 7 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Dec 3, 2019Updated 6 years ago
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,298Feb 18, 2025Updated last year
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆566Nov 1, 2021Updated 4 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆735Mar 25, 2023Updated 2 years ago
- Multi Task Learning example with Keras☆27Apr 9, 2019Updated 6 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆352Apr 28, 2020Updated 5 years ago
- A lightweight module for Multi-Task Learning in pytorch.☆168Aug 7, 2023Updated 2 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆272Aug 9, 2022Updated 3 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆343Jan 23, 2026Updated last month
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆47Oct 16, 2021Updated 4 years ago