multitask-learning

#自然语言处理#The Natural Language Decathlon: A Multitask Challenge for NLP

#计算机科学#A PyTorch Library for Multi-Task Learning

You Only Look Once for Panopitic Driving Perception.（MIR2022）

翻译 - 你只看一次全景驾驶感知。（https://arxiv.org/abs/2108.11250）

#自然语言处理#jiant is an nlp toolkit

翻译 - 通用文本理解模型的庞大工具包

PromptCLUE, 全中文任务支持零样本学习模型

HybridNets: End-to-End Perception Network

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

#自然语言处理#BERT for Multitask Learning

Crosslingual Generalization through Multitask Finetuning

#自然语言处理#Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

翻译 - Pytorch的官方实施“ OmniNet：用于多模式多任务学习的统一体系结构”作者：Subhojeet Pramanik，Priyanka Agrawal，Aman Hussain

#计算机科学#Fast Best-Subset Selection Library

#自然语言处理#multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

翻译 - multi_task_NLP是一个实用工具包，使NLP开发人员可以轻松地为多个任务训练和推断单个模型。

Benchmarking Knowledge Transfer in Lifelong Robot Learning

#计算机科学#A list of multi-task learning papers and projects.

中文NER的那些事儿

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

#计算机科学#Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

#数据仓库#Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]