[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral & TPAMI 2022)

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

A PyTorch implementation of funnel activation https://arxiv.org/pdf/2007.11824.pdf

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

PyTorch implementation of various state-of-the-art supervised deep learning models for the task of multi-class classification of COVID-19 from chest X-ray imaging.

MAML implementation (tensorflow)

A list of multi-task machine learning papers.

Multi-task learning via Structural Regularization

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Large Margin Multi-modal Multi-task Feature Extraction

Codes for paper "Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis"

Multi Task RL Baselines

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis

Paper List for Multimodal Sentiment Analysis

The MATLab implementation of 2015 ECML paper "Multi-Task Learning with Group-Specific Feature Space Sharing"

Matlab codes for feature learning

Code for the machine learning methods described in: M. B. Blaschko, A Note on k-support Norm Regularized Risk Minimization. arXiv:1303.6390, 2013.

Federated Multi-Task Learning

Multi-task learning via Structural Regularization

Regularized Multi-task Learning in R

A MATLAB Implementation of GO_MTL; Learning Task Grouping and Overlap in Multi-task Learning (ICML 2012)