multi-domain-learning

A PyTorch Library for Multi-Task Learning

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

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

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657

The multi-domain FAS work with SiW-Mv2 dataset (ECCV 2022 oral)

Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022

Official repository for "Memory-Guided Multi-View Multi-Domain Fake News Detection", IEEE TKDE.

Universal Representations: A Unified Look at Multiple Task and Domain Learning

[MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)

Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation

Multi-domain Recommendation with Adapter Tuning

Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023

An up-to-date list of works on Multi-domain Multi-task learning

[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Visual Representation Learning over Latent Domains - ICLR 2022

Training Multi-Domain Neural Machine Translation