Awesome Multitask Learning Resources
Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).
Benchmark and build RL architectures that can do multitask and transfer learning.
The Natural Language Decathlon: A Multitask Challenge for NLP
MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.
Modular multitask reinforcement learning with policy sketches
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
Kernelized Bayesian Multitask Learning
Multitask Environments for RL
Crosslingual Generalization through Multitask Finetuning
Measuring Massive Multitask Language Understanding | ICLR 2021
The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Multitask scheduler for MSP430F5529 launchpad
#安卓#Multitask、MultiThread(MultiConnection)、Breakpoint-resume、High-concurrency、Simple to use、Single/NotSingle-process
翻译 - 多任务，多线程（多连接），断点恢复，高并发，使用简单，单/非单进程
[ACL 2024] LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
UNIX like, multitask, i80386 PM + MMU, well-commented.
Pytorch implementation of multitask CycleGAN with auxiliary classification loss
Deep Learning 中文翻译