Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.11955
Cited By
v1
v2 (latest)
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
International Conference on Machine Learning (ICML), 2020
27 February 2020
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
OffRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods"
50 / 87 papers shown
Learning from Interval Targets
Rattana Pukdee
Ziqi Ke
Chirag Gupta
OOD
238
0
0
23 Oct 2025
CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision
Dyah Adila
Shuai Zhang
Boran Han
Bonan Min
Yuyang Wang
233
0
0
17 Jun 2025
Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation
Tzu-Heng Huang
Harit Vishwakarma
Frederic Sala
ELM
422
4
0
12 Jun 2025
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
Yue Gong
Chuan Lei
X. Qin
Kapil Vaidya
Balakrishnan Narayanaswamy
Tim Kraska
336
6
0
04 Jun 2025
Weak Supervision for Real World Graphs
Pratheeksha Nair
Reihaneh Rabbany
NoLa
350
0
0
03 Jun 2025
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
Tzu-Heng Huang
Catherine Cao
Spencer Schoenberg
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
426
9
0
17 Feb 2025
Smoothie: Label Free Language Model Routing
Neural Information Processing Systems (NeurIPS), 2024
Neel Guha
Mayee F. Chen
Trevor Chow
Ishan S. Khare
Christopher Ré
350
28
0
06 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens
International Conference on Learning Representations (ICLR), 2024
Changho Shin
John Cooper
Frederic Sala
581
14
0
05 Dec 2024
Interactive Machine Teaching by Labeling Rules and Instances
Transactions of the Association for Computational Linguistics (TACL), 2024
Giannis Karamanolakis
Daniel J. Hsu
Luis Gravano
249
3
0
08 Sep 2024
Automating Weak Label Generation for Data Programming with Clinicians in the Loop
Jean Park
Sydney Pugh
Kaustubh Sridhar
Mengyu Liu
N. Yarna
Ramneet Kaur
Souradeep Dutta
E. Bernardis
O. Sokolsky
Insup Lee
MedIm
241
1
0
10 Jul 2024
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators
Tzu-Heng Huang
Catherine Cao
Vaishnavi Bhargava
Frederic Sala
499
11
0
25 Jun 2024
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Alex Chandler
Devesh Surve
Hui Su
HILM
UQCV
197
6
0
18 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
455
0
0
16 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
519
43
0
25 May 2024
Convergence Behavior of an Adversarial Weak Supervision Method
Steven An
Sanjoy Dasgupta
355
1
0
25 May 2024
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui
Ziyang Zhang
Wen Wu
Wen Wu
Chao Zhang
473
5
0
24 May 2024
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer
Kumar Shubham
A. Jayagopal
Syed Mohammed Danish
AP Prathosh
Vaibhav Rajan
OOD
258
7
0
07 May 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma
Reid Chen
Chen
Sui Jiet Tay
Satya Sai Srinath Namburi
Frederic Sala
Ramya Korlakai Vinayak
355
6
0
24 Apr 2024
An Improved Algorithm for Learning Drifting Discrete Distributions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Alessio Mazzetto
235
5
0
08 Mar 2024
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
Lianghui Zhu
Junwei Zhou
Yan Liu
Xin Hao
Wenyu Liu
Xinggang Wang
VLM
330
23
0
22 Feb 2024
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
Jinyan Su
Peilin Yu
Jieyu Zhang
Stephen H. Bach
253
3
0
02 Feb 2024
Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance
Chau Nguyen
Le-Minh Nguyen
ELM
AILaw
AI4MH
181
2
0
31 Jan 2024
Multimodal Data Curation via Object Detection and Filter Ensembles
Tzu-Heng Huang
Changho Shin
Sui Jiet Tay
Dyah Adila
Frederic Sala
281
10
0
05 Jan 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
AAAI Conference on Artificial Intelligence (AAAI), 2023
Kumar Shubham
Pranav Sastry
AP Prathosh
390
3
0
16 Dec 2023
Can Large Language Models Design Accurate Label Functions?
Naiqing Guan
Kaiwen Chen
Nick Koudas
ALM
247
10
0
01 Nov 2023
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Knowledge Discovery and Data Mining (KDD), 2023
Zhijun Chen
Hailong Sun
Wanhao Zhang
Chunyi Xu
Qianren Mao
Pengpeng Chen
BDL
373
7
0
10 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh
I. Ruchkin
Insup Lee
James Weimer
AAML
OOD
255
0
0
01 Sep 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Neural Information Processing Systems (NeurIPS), 2023
Neel Guha
Mayee F. Chen
Kush S. Bhatia
Azalia Mirhoseini
Frederic Sala
Christopher Ré
210
4
0
20 Jul 2023
RACH-Space: Reconstructing Adaptive Convex Hull Space with Applications in Weak Supervision
Woojoo Na
Abiy Tasissa
352
0
0
10 Jul 2023
Pareto Optimal Learning for Estimating Large Language Model Errors
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Theodore Zhao
Mu-Hsin Wei
J. S. Preston
Hoifung Poon
440
11
0
28 Jun 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
Anastasiia Sedova
Lena Zellinger
Benjamin Roth
368
5
0
07 Jun 2023
Local Boosting for Weakly-Supervised Learning
Knowledge Discovery and Data Mining (KDD), 2023
Rongzhi Zhang
Yue Yu
Jiaming Shen
Xiquan Cui
Chao Zhang
WSOL
373
3
0
05 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
497
2
0
02 Jun 2023
Alfred: A System for Prompted Weak Supervision
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Peilin Yu
Stephen H. Bach
353
11
0
29 May 2023
DataComp: In search of the next generation of multimodal datasets
Neural Information Processing Systems (NeurIPS), 2023
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
822
659
0
27 Apr 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Proceedings of the VLDB Endowment (PVLDB), 2023
Simran Arora
Brandon Yang
Sabri Eyuboglu
A. Narayan
Andrew Hojel
Immanuel Trummer
Christopher Ré
SyDa
605
154
0
19 Apr 2023
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations
IEEE Pacific Visualization Symposium (PacificVis), 2023
Xiaoyu Zhang
Xiwei Xuan
A. Dima
Thurston Sexton
Kwan-Liu Ma
334
13
0
31 Mar 2023
Mitigating Source Bias for Fairer Weak Supervision
Neural Information Processing Systems (NeurIPS), 2023
Changho Shin
Sonia Cromp
Dyah Adila
Frederic Sala
364
5
0
30 Mar 2023
Weakly Supervised Label Learning Flows
Neural Networks (Neural Netw.), 2023
You Lu
Chidubem Arachie
Bert Huang
365
3
0
19 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification
Abhinav Bohra
Huy-Thanh Nguyen
Devashish Khatwani
NoLa
200
0
0
07 Feb 2023
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
259
1
0
30 Dec 2022
Resonant Anomaly Detection with Multiple Reference Datasets
Journal of High Energy Physics (JHEP), 2022
Mayee F. Chen
Benjamin Nachman
Frederic Sala
267
8
0
20 Dec 2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Wenhao Wu
Wei Li
Xinyan Xiao
Jiachen Liu
Sujian Li
Yajuan Lv
HILM
319
10
0
20 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
AAAI Conference on Artificial Intelligence (AAAI), 2022
Dylan Sam
J. Zico Kolter
NoLa
OffRL
431
14
0
13 Dec 2022
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
Ethan M. Rudd
Mohammad Saidur Rahman
Philip Tully
334
7
0
05 Dec 2022
Lifting Weak Supervision To Structured Prediction
Neural Information Processing Systems (NeurIPS), 2022
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
225
10
0
24 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling
Neural Information Processing Systems (NeurIPS), 2022
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
291
12
0
22 Nov 2022
Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu
Alexander Bendeck
Xu Chu
Yeye He
158
11
0
13 Nov 2022
SepLL: Separating Latent Class Labels from Weak Supervision Noise
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Andreas Stephan
Vasiliki Kougia
Benjamin Roth
278
8
0
25 Oct 2022
Label Propagation with Weak Supervision
International Conference on Learning Representations (ICLR), 2022
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
404
11
0
07 Oct 2022
1
2
Next
Page 1 of 2