A PyTorch Library for Multi-Task Learning
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Updated
Aug 31, 2024 - Python
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.
An up-to-date list of works on Multi-Task Learning
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
[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
Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
[MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)
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
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