thuml/awesome-multi-task-learning
A curated list of datasets, codebases, and papers on Multi-Task Learning (MTL) spanning computer vision, NLP, RL, and graph domains.
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This repository aggregates resources on Multi-Task Learning from a machine learning perspective, organizing content into categories covering survey papers, benchmarks, codebases, model architectures (hard/soft parameter sharing, adapters, MoE), and optimization strategies (loss functions, gradient methods, task interference). It serves as a reference collection for practitioners and researchers working on multi-task deep learning systems.
Frequently asked
- What is thuml/awesome-multi-task-learning?
- A curated list of datasets, codebases, and papers on Multi-Task Learning (MTL) spanning computer vision, NLP, RL, and graph domains.
- Is awesome-multi-task-learning open source?
- Yes — thuml/awesome-multi-task-learning is an open-source project tracked on heatdrop.
- How popular is awesome-multi-task-learning?
- thuml/awesome-multi-task-learning has 842 stars on GitHub.
- Where can I find awesome-multi-task-learning?
- thuml/awesome-multi-task-learning is on GitHub at https://github.com/thuml/awesome-multi-task-learning.