CoMAL: Contrastive Active Learning for Multi-Label Text Classification

Author:

Peng Cheng1ORCID,Wang Haobo2ORCID,Chen Ke1ORCID,Shou Lidan1ORCID,Yao Chang2ORCID,Wu Runze3ORCID,Chen Gang1ORCID

Affiliation:

1. State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China

2. School of Software Technology, Zhejiang University, Ningbo, China

3. Fuxi AI Lab, NetEase Corp., Hangzhou, China

Funder

the CCF-NetEase ThunderFire Innovation Research Funding

the Pioneer R&D Program of Zhejiang

Publisher

ACM

Reference43 articles.

1. Jordan T Ash Chicheng Zhang Akshay Krishnamurthy John Langford and Alekh Agarwal. 2020. Deep Batch Active Learning by Diverse Uncertain Gradient Lower Bounds. In ICLR.

2. Junwen Bai Shufeng Kong and Carla P Gomes. 2022. Gaussian mixture variational autoencoder with contrastive learning for multi-label classification. In ICML.

3. Taming Pretrained Transformers for Extreme Multi-label Text Classification

4. Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, and Jieping Ye. 2013. Batch mode active sampling based on marginal probability distribution matching. ACM Trans. Knowl. Discov. Data (2013).

5. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3