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The Re-Label Method For Data-Centric Machine Learning

The Re-Label Method For Data-Centric Machine Learning

9 February 2023
Tonglei Guo
    NoLa
ArXivPDFHTML

Papers citing "The Re-Label Method For Data-Centric Machine Learning"

4 / 4 papers shown
Title
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Dingzirui Wang
Longxu Dou
Xuanliang Zhang
Qingfu Zhu
Wanxiang Che
39
7
0
16 Feb 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
384
12,081
0
04 Mar 2022
A Comprehensive Comparison of Pre-training Language Models
A Comprehensive Comparison of Pre-training Language Models
Tonglei Guo
VLM
ELM
27
3
0
22 Jun 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
1