Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
https://github.com/WeiHongLee/Awesome-Multi-Task-Learning
Last synced: 5 days ago
JSON representation
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Benchmarks & Code
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Image Classification
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Dense Prediction Tasks
- NYUv2
- Cityscapes - dataset.com/)]
- PASCAL-Context - context/)]
- KITTI
- SUN RGB-D
- BDD100K - data.berkeley.edu/)]
- [dataset and code
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Taskonomy
- Cityscapes - dataset.com/)]
- SUN RGB-D
- Cityscapes - dataset.com/)]
- SUN RGB-D
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Papers
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2016 and earlier
- [paper
- [paper
- [paper
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- [paper
- [paper
- [paper
- Cross-Stitch - stitch-Networks-for-Multi-task-Learning)]
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2022
- TSA - UoE/URL)]
- [paper
- [paper
- [paper
- [paper - Group/M3ViT)]
- [paper
- [paper - with-Category-Shifts)]
- [paper
- [paper
- Auto-λ - lambda)]
- Universal Representations - UoE/UniversalRepresentations)]
- [paper
- [paper
- [paper
- InvPT
- MultiMAE
- [paper
- [paper
- [paper
- [paper - task-oriented_generative_modeling)]
- [paper - mtl)]
- [paper
- Gato
- MTPSL - UoE/MTPSL)]
- OMNIVORE
- [paper
- [paper - labs.com/~mas/DYMU/)]
- SHIFT
- [paper - Labs/DiSparse-Multitask-Model-Compression)]
- MulT
- [paper
- [paper
- [paper - research/google-research/tree/master/muNet)]
- [paper
- [paper
- [paper - RL/AdaRL-code)]
- [paper - parameter-efficient-tuning)]
- Rotograd
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - with-Category-Shifts)]
- Auto-λ - lambda)]
- InvPT
- MultiMAE
- [paper
- Gato
- MTPSL - UoE/MTPSL)]
- TSA - UoE/URL)]
- OMNIVORE
- [paper
- [paper - labs.com/~mas/DYMU/)]
- [paper - research/google-research/tree/master/muNet)]
- [paper
- [paper
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2024
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2023
- [paper
- [paper - research/deeplab2)]
- [paper
- [paper
- [paper
- [paper - UoE/MTPSL)]
- [paper
- [paper
- [paper
- [paper - Model-Selector)]
- [paper
- [paper - research/google-research/tree/master/moe_mtl)]
- [paper
- [paper - based-MTL)]
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - jku/L2M)]
- InvPT++ - Task-Transformer/tree/main/InvPT)]
- [paper - XIX/FAMO)]
- [paper
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- [paper
- [paper
- [paper
- [paper - www.cs.umass.edu/mod-squad/)]
- [paper - lu/etr-nlp-mtl)]
- [paper
- [paper
- [paper - Task-Transformer/tree/main/TaskPrompter)] [[dataset](https://arxiv.org/pdf/2304.00971.pdf)]
- [paper
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- [paper
- [paper - vision/DenseMTL)]
- [paper
- [paper - research/deeplab2)]
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- [paper
- [paper
- [paper
- [paper - XIX/FAMO)]
- [paper
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- [paper
- [paper
- [paper - www.cs.umass.edu/mod-squad/)]
- [paper
- [paper - Lab/sdmgrad)]
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2021
- [paper
- [paper
- CAGrad - XIX/CAGrad)]
- [paper
- [paper
- [paper
- [paper
- [paper - VILAB/XDEnsembles)]
- [paper
- URL - UoE/URL)]
- tri-M - M-ICCV)]
- [paper
- [paper
- [paper
- [paper
- FLUTE - research/meta-dataset)]
- [paper
- [paper
- [paper - uda)]
- [paper - tasking)]
- [paper
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- [paper
- [paper
- [paper
- [paper - MTL)]
- Gradient Vaccine
- IMTL
- [paper
- URT
- [paper
- [paper - weighting)]
- [paper
- [paper
- [paper
- [paper
- FLUTE - research/meta-dataset)]
- [paper
- [paper
- [paper
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2020
- [paper - Module)]
- [paper
- PCGrad - PCGrad)]
- [paper
- [paper
- [paper
- [paper
- [paper - Task-Learning-PyTorch)]
- [paper
- [paper
- [paper
- [paper - repo/duality-diagram-similarity)]
- KD4MTL - UoE/KD4MTL)]
- [paper
- [paper - VILAB/XTConsistency)]
- paper - multi-task)]
- [paper
- [paper
- [paper
- [paper - gfx/ContinuousParetoMTL)]
- [paper
- [paper
- paper
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- [paper
- [paper
- [paper
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- [paper
- [paper
- paper
- paper
- paper
- paper
- paper
- paper
- paper
- [paper
- [paper
- KD4MTL - UoE/KD4MTL)]
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2019
- [paper
- [paper - L/ParetoMTL)]
- [paper
- Orthogonal
- [paper
- [paper
- [paper - snu/Deep-Elastic-Network)]
- [paper - task-architecture-search)]
- [paper
- [paper - research/google-research/tree/master/bam)]
- [paper
- [paper - CNN)]
- MTAN + DWA
- [paper
- [paper
- [paper - CVPR19-release)]
- Geometric Loss Strategy (GLS)
- [paper
- [paper - n-Pals)]
- [paper
- [paper
- [paper
- [paper
- [paper - networks)]
- [paper
- [paper - L/ParetoMTL)]
- [paper - research/google-research/tree/master/bam)]
- [paper
- [paper
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2018
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2017
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Survey & Study
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Workshops
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2016 and earlier
- Universal Representations for Computer Vision Workshop at BMVC 2022
- Workshop on Multi-Task Learning in Computer Vision (DeepMTL) at ICCV 2021
- Adaptive and Multitask Learning: Algorithms & Systems Workshop (AMTL) at ICML 2019
- Workshop on Multi-Task and Lifelong Reinforcement Learning at ICML 2015
- Transfer and Multi-Task Learning: Trends and New Perspectives at NeurIPS 2015
- Second Workshop on Transfer and Multi-task Learning at NeurIPS 2014
- New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks Workshop at NeurIPS 2013
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Online Courses
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2016 and earlier
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