推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

A unified multi-task time series model.

Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

🔥🔥MLVU: Multi-task Long Video Understanding Benchmark

Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"

A large-scale multi-modal pre-trained model

[SIGIR'24] The official implementation code of MOELoRA.

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

🤖📇 handling multiple nlp task in one pipeline

Easy multi-task learning with HuggingFace Datasets and Trainer

Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.

The GitHub repository for the paper "Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations"

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

image to images translation - Multi task pix2pix

Unified Framework for Multiple Time Series Tasks

A simple package about multi-task recommendation

Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'

Improving Sentiment Analysis with Multi-task Learning of Negation