# AdaTT **Repository Path**: facebookresearch/AdaTT ## Basic Information - **Project Name**: AdaTT - **Description**: pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations" - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-09-13 - **Last Updated**: 2023-09-13 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # AdaTT Welcome to the AdaTT repository! This repository provides a PyTorch library for multitask learning, specifically focused on the models evaluated in the paper ["AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations" (KDD'23)"](https://doi.org/10.1145/3580305.3599769). [**[arXiv]**](https://arxiv.org/abs/2304.04959) [**[slides]**](https://drive.google.com/file/d/1I8XpxPxwhP9KXuztEguYkuMM10kiJDS7/view?usp=sharing) ## Models This repository implements the following models: + AdaTT [[Paper]](https://doi.org/10.1145/3580305.3599769) + MMoE [[Paper]](https://dl.acm.org/doi/10.1145/3219819.3220007) + Multi-level MMoE (an extension of MMoE) + PLE [[Paper]](https://doi.org/10.1145/3383313.3412236) + Cross-stitch [[Paper]](https://openaccess.thecvf.com/content_cvpr_2016/papers/Misra_Cross-Stitch_Networks_for_CVPR_2016_paper.pdf) + Shared-bottom [[Paper]](https://link.springer.com/article/10.1023/a:1007379606734) To facilitate the integration and selection of these models, we have implemented a class called `CentralTaskArch`. ## License AdaTT is MIT-licensed. ## Citation If you find AdaTT's paper or code helpful, please consider citing: ``` @article{li2023adatt, title={AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations}, author={Li, Danwei and Zhang, Zhengyu and Yuan, Siyang and Gao, Mingze and Zhang, Weilin and Yang, Chaofei and Liu, Xi and Yang, Jiyan}, journal={arXiv preprint arXiv:2304.04959}, year={2023} } ```