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Creating Training Sets via Weak Indirect Supervision

Creating Training Sets via Weak Indirect Supervision

7 October 2021
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
    OffRL
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Papers citing "Creating Training Sets via Weak Indirect Supervision"

14 / 14 papers shown
Title
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation
  with LLMs
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
Yifan Wang
David Stevens
Pranay Shah
Wenwen Jiang
Miao Liu
...
Boying Gong
Daniel Lee
Jiabo Hu
Ning Zhang
Bob Kamma
35
1
0
16 Sep 2024
Decoding the Narratives: Analyzing Personal Drug Experiences Shared on
  Reddit
Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit
Layla A. Bouzoubaa
Elham Aghakhani
Max Song
Minh Trinh
R. Rezapour
26
1
0
17 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
50
0
0
16 Jun 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A
  Survey
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long
Rui Wang
Ruixuan Xiao
Junbo Zhao
Xiao Ding
Gang Chen
Haobo Wang
SyDa
51
91
0
14 Jun 2024
Leveraging Large Language Models for Structure Learning in Prompted Weak
  Supervision
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
Jinyan Su
Peilin Yu
Jieyu Zhang
Stephen H. Bach
19
2
0
02 Feb 2024
How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
Zhengyu Hu
Jieyu Zhang
Yue Yu
Yuchen Zhuang
Hui Xiong
24
5
0
04 Dec 2023
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large
  Language Models for Data Annotation
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Minzhi Li
Taiwei Shi
Caleb Ziems
Min-Yen Kan
Nancy F. Chen
Zhengyuan Liu
Diyi Yang
16
68
0
24 Oct 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
29
13
0
13 Dec 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
15
3
0
06 Oct 2022
Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang
Linxin Song
Alexander Ratner
56
8
0
06 Oct 2022
Binary Classification with Positive Labeling Sources
Binary Classification with Positive Labeling Sources
Jieyu Zhang
Yujing Wang
Yaming Yang
Yang Luo
Alexander Ratner
21
4
0
02 Aug 2022
Understanding Programmatic Weak Supervision via Source-aware Influence
  Function
Understanding Programmatic Weak Supervision via Source-aware Influence Function
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
32
9
0
25 May 2022
Language Models in the Loop: Incorporating Prompting into Weak
  Supervision
Language Models in the Loop: Incorporating Prompting into Weak Supervision
Ryan Smith
Jason Alan Fries
Braden Hancock
Stephen H. Bach
45
53
0
04 May 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
19
91
0
11 Feb 2022
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