ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.05844
  4. Cited By
Learning Dependency Structures for Weak Supervision Models

Learning Dependency Structures for Weak Supervision Models

14 March 2019
P. Varma
Frederic Sala
A. He
Alexander Ratner
Christopher Ré
    NoLa
ArXivPDFHTML

Papers citing "Learning Dependency Structures for Weak Supervision Models"

9 / 9 papers shown
Title
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
21
19
0
25 May 2024
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
51
1
0
02 Jun 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Simran Arora
Brandon Yang
Sabri Eyuboglu
A. Narayan
Andrew Hojel
Immanuel Trummer
Christopher Ré
SyDa
44
69
0
19 Apr 2023
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
206
205
0
05 Oct 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
A data-centric weak supervised learning for highway traffic incident
  detection
A data-centric weak supervised learning for highway traffic incident detection
Yixuan Sun
Tanwi Mallick
Prasanna Balaprakash
Jane Macfarlane
8
13
0
17 Dec 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
31
32
0
26 Oct 2021
End-to-End Weak Supervision
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
14
40
0
05 Jul 2021
Active WeaSuL: Improving Weak Supervision with Active Learning
Active WeaSuL: Improving Weak Supervision with Active Learning
Samantha Biegel
Rafah El-Khatib
Luiz Otavio Vilas Boas Oliveira
M. Baak
N. Aben
8
20
0
30 Apr 2021
1