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Multi-Task Learning on Cityscapes
The authors used the Cityscapes dataset for their experiments. -
Learning to Branch for Multi-Task Learning
Training multiple tasks jointly in one deep network yields reduced latency during inference and better performance over the single-task counterpart by sharing certain layers of... -
LibMTL: A Python Library for Multi-Task Learning
LibMTL is a comprehensive and extensible library for Multi-Task Learning (MTL). It provides a unified training framework for different settings in MTL and supports many... -
MultiMNIST
MultiMNIST dataset, a multi-task learning version of the MNIST dataset. -
Multi-Task Learning as Multi-Objective Optimization
Multi-task learning, multiple tasks are solved jointly, sharing inductive bias between them. -
Meta-world: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement ...
This paper presents a benchmark and evaluation for multi-task and meta reinforcement learning. -
School dataset
The dataset contains examination scores of 15,362 students from 139 schools in London.