mbs0221-mlsys / Multitask-Learning
Awesome Multitask Learning Resources
☆646Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Multitask-Learning
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆843Updated 4 years ago
- A list of multi-task learning papers and projects.☆362Updated 2 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆780Updated 2 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆677Updated 2 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆676Updated 2 weeks ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆987Updated 2 months ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆547Updated 3 years ago
- some tircks for PyTorch☆578Updated 4 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆134Updated 6 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆584Updated 4 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆250Updated 2 years ago
- Collection for Few-shot Learning☆973Updated last year
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆694Updated last year
- A Tensorflow implementation of the paper arXiv:1604.03539☆126Updated 6 years ago
- ☆144Updated 2 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆304Updated 4 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆89Updated 4 years ago
- A PyTorch Library for Multi-Task Learning☆2,054Updated last month
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,175Updated 11 months ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆128Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆947Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆560Updated 3 months ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,129Updated 2 years ago
- A curated list of resources about few-shot and one-shot learning☆281Updated 5 years ago
- An up-to-date list of works on Multi-Task Learning☆301Updated this week
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆336Updated 6 years ago
- 注意力机制实践☆387Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆235Updated 3 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆491Updated 3 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆148Updated 5 years ago