awesome-multi-task-learning and Awesome-Multi-Task-Learning
About awesome-multi-task-learning
thuml/awesome-multi-task-learning
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
This is a curated collection for machine learning practitioners and researchers interested in Multi-Task Learning (MTL). It brings together a wide array of resources, including datasets for computer vision, natural language processing, and recommendation systems, along with research papers and codebases. You can find examples of how to train models to perform several related tasks simultaneously, such as segmenting images, estimating depth, and detecting edges all at once.
About Awesome-Multi-Task-Learning
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
This resource curates research papers and projects focused on multi-task learning in computer vision. It provides an organized list of academic work, including survey papers, datasets used, and different neural network architectures (like encoder-based and decoder-based) for practitioners. Researchers and engineers working in computer vision will find this useful for exploring techniques where a single model learns to perform multiple related visual tasks simultaneously.
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