weihonglee / awesome-multi-task-learning Goto Github PK

An up-to-date list of works on Multi-Task Learning

multi-task-learning multi-domain-learning computer-vision machine-learning partially-supervised loss-weight deep-learning multi-task cross-domain-learning universal-representation

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fanrz stc-cqupt yashgarg98 quickyfinger weisili2016 liuxin0315 zhihao-chen yb9411 autumn9999 godplusone rongmiq jorgeo80 neural-sorcerer goldandrabbit qianqian-yang zhanglangjd dtbinh shuigenzhan distoramos

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New MTL paper

Hello!

Thanks for your great repo!
Our work on multi-task learning named "Multi-Task Dense Prediction via Mixture of Low-Rank Experts (CVPR 2024)" has been released recently. Would you like to take a look and add it to the repo? Thank you very much!
The URLs to the code and paper are as follows.
code: https://github.com/YuqiYang213/MLoRE
paper: https://arxiv.org/abs/2403.17749

Best,
Yuqi Yang

InvPT has been accepted by ECCV 2022

Hi Wei-hong!

Thank you for your valuable awesome repo.

May I kindly remind you that our paper InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding has been accepted by ECCV 2022. We would appreciate it if you could include this modification in your next update.

Have a nice day.

Hanrong

Addressing Negative Transfer in Diffusion Models (Neurips 2023)

Hello Wei-hong!

Thank you for making and contributing a priceless repo!

I would like to inform you that our paper "Addressing Negative Transfer in Diffusion Models (Neurips 2023)" deals with harmonious learning of multiple denoising tasks in the diffusion model by rethinking it as multi-task learning. Will you consider including our paper in your repository? I believe that the MTL of denoising tasks is an important direction for improving the diffusion model, and I saw that our paper "Denoising Task Routing in Diffusion Models" is already included in your repo.

Arxiv: https://arxiv.org/abs/2306.00354
OpenReview: https://openreview.net/forum?id=3G2ec833mW&referrer=%5Bthe%20profile%20of%20Shinhyeok%20Oh%5D(%2Fprofile%3Fid%3D~Shinhyeok_Oh1)
Code: https://github.com/gohyojun15/ANT_diffusion

I hope you have a nice day.

Hyojun Go

weihonglee / awesome-multi-task-learning Goto Github PK

awesome-multi-task-learning's People

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awesome-multi-task-learning's Issues

New MTL paper

InvPT has been accepted by ECCV 2022

Addressing Negative Transfer in Diffusion Models (Neurips 2023)

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