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. 2002.11955
  4. Cited By
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods

27 February 2020
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
    OffRL
ArXivPDFHTML

Papers citing "Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods"

35 / 35 papers shown
Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
Tzu-Heng Huang
Catherine Cao
Spencer Schoenberg
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
136
5
0
17 Feb 2025
Weak-to-Strong Generalization Through the Data-Centric Lens
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin
John Cooper
Frederic Sala
88
5
0
05 Dec 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
54
0
0
16 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
25
19
0
25 May 2024
Bayesian WeakS-to-Strong from Text Classification to Generation
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui
Ziyang Zhang
Wen Wu
Wen Wu
Chao Zhang
31
1
0
24 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
65
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
47
69
0
19 Apr 2023
Weakly Supervised Label Learning Flows
Weakly Supervised Label Learning Flows
You Lu
Chidubem Arachie
Bert Huang
20
0
0
19 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification
AutoWS: Automated Weak Supervision Framework for Text Classification
Abhinav Bohra
Huy-Thanh Nguyen
Devashish Khatwani
NoLa
19
0
0
07 Feb 2023
Label-Efficient Interactive Time-Series Anomaly Detection
Label-Efficient Interactive Time-Series Anomaly Detection
Hongmei Guo
Yujing Wang
Jieyu Zhang
Zhe-Min Lin
Yu Tong
Lei Yang
Luoxing Xiong
Congrui Huang
AI4TS
27
1
0
30 Dec 2022
Resonant Anomaly Detection with Multiple Reference Datasets
Resonant Anomaly Detection with Multiple Reference Datasets
Mayee F. Chen
Benjamin Nachman
Frederic Sala
25
5
0
20 Dec 2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised
  Learning
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning
Wenhao Wu
Wei Li
Xinyan Xiao
Jiachen Liu
Sujian Li
Yajuan Lv
HILM
23
4
0
20 Dec 2022
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
37
13
0
13 Dec 2022
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
Ethan M. Rudd
Mohammad Saidur Rahman
Philip Tully
19
5
0
05 Dec 2022
Lifting Weak Supervision To Structured Prediction
Lifting Weak Supervision To Structured Prediction
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
19
7
0
24 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
26
9
0
22 Nov 2022
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
34
9
0
07 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
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
211
206
0
05 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100
  Labels
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts
Xintong Li
Tzu-Heng Huang
Dyah Adila
Spencer Schoenberg
Chengao Liu
Lauren Pick
Haotian Ma
Aws Albarghouthi
Frederic Sala
UQCV
22
7
0
30 Aug 2022
Learning Hyper Label Model for Programmatic Weak Supervision
Learning Hyper Label Model for Programmatic Weak Supervision
Renzhi Wu
Sheng Chen
Jieyu Zhang
Xu Chu
20
16
0
27 Jul 2022
Training Subset Selection for Weak Supervision
Training Subset Selection for Weak Supervision
Hunter Lang
Aravindan Vijayaraghavan
David Sontag
NoLa
8
21
0
06 Jun 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability
  and Association
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
Luisa März
Ehsaneddin Asgari
Fabienne Braune
Franziska Zimmermann
Benjamin Roth
23
0
0
03 Jun 2022
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News
  Detection
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
Abhijit Suprem
C. Pu
33
7
0
19 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
47
53
0
04 May 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation
  for Weak Supervision
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
Anastasiia Sedova
Benjamin Roth
21
0
0
14 Apr 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
24
91
0
11 Feb 2022
Data Consistency for Weakly Supervised Learning
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
22
2
0
08 Feb 2022
Universalizing Weak Supervision
Universalizing Weak Supervision
Changho Shin
Winfred Li
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
19
30
0
07 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
33
32
0
26 Oct 2021
Creating Training Sets via Weak Indirect Supervision
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
OffRL
51
17
0
07 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
14
110
0
23 Sep 2021
End-to-End Weak Supervision
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
25
40
0
05 Jul 2021
skweak: Weak Supervision Made Easy for NLP
skweak: Weak Supervision Made Easy for NLP
Pierre Lison
Jeremy Barnes
A. Hubin
19
43
0
19 Apr 2021
Data Programming by Demonstration: A Framework for Interactively
  Learning Labeling Functions
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions
Sara Evensen
Chang Ge
Dongjin Choi
cCaugatay Demiralp
21
8
0
03 Sep 2020
1