multi-task-learning topic

[CVPR2020] Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation, CVPR2020 (oral)

luogen1996

Multi-Task Deep Neural Networks for Natural Language Understanding

microsoft

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

hav4ik

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice an...

jianing-sun

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. D...

HaSai666

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

DFKI-NLP

EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction

Coopercoppers

Code for the paper "Meta-Q-Learning"( ICLR 2020)

amazon-science

PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

VinAIResearch

Multi-label classification based on timm.

yang-ruixin