A Survey on Programmatic Weak Supervision

11 February 2022

Alexander Ratner

Papers citing "A Survey on Programmatic Weak Supervision"

50 / 57 papers shown

Title
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 56 0 0 09 Feb 2025
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 30 1 0 16 Sep 2024
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems Altaf Allah Abbassi Houssem Ben Braiek Foutse Khomh Thomas Reid 16 0 0 13 Sep 2024
Interactive Machine Teaching by Labeling Rules and Instances Giannis Karamanolakis Daniel J. Hsu Luis Gravano 20 0 0 08 Sep 2024
LLM-assisted Labeling Function Generation for Semantic Type Detection Chenjie Li Dan Zhang Jin Wang 15 0 0 28 Aug 2024
Data Collection and Labeling Techniques for Machine Learning Qianyu Huang Tongfang Zhao 21 1 0 19 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 45 0 0 16 Jun 2024
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing Enshuo Hsu Kirk Roberts ALM AI4MH 21 4 0 10 Jun 2024
Are We Done with MMLU? Aryo Pradipta Gema Joshua Ong Jun Leang Giwon Hong Alessio Devoto Alberto Carlo Maria Mancino ... R. McHardy Joshua Harris Jean Kaddour Emile van Krieken Pasquale Minervini ELM 47 29 0 06 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 19 19 0 25 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 22 2 0 07 May 2024
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems Chu Li Zhihan Zhang Michael Saugstad Esteban Safranchik Minchu Kulkarni Xiaoyu Huang Shwetak N. Patel Vikram Iyer Tim Althoff Jon E. Froehlich 29 1 0 14 Mar 2024
Enhancing Multi-Domain Automatic Short Answer Grading through an Explainable Neuro-Symbolic Pipeline Felix Künnecke Anna Filighera Colin Leong Tim Steuer 17 1 0 04 Mar 2024
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision Jinyan Su Peilin Yu Jieyu Zhang Stephen H. Bach 8 2 0 02 Feb 2024
Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance Chau Nguyen Le-Minh Nguyen ELM AILaw AI4MH 20 0 0 31 Jan 2024
Adaptive Crowdsourcing Via Self-Supervised Learning Anmol Kagrecha Henrik Marklund Benjamin Van Roy Hong Jun Jeon Richard Zeckhauser FedML 8 0 0 24 Jan 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 14 1 0 16 Dec 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 11 0 0 09 Nov 2023
Can Large Language Models Design Accurate Label Functions? Naiqing Guan Kaiwen Chen Nick Koudas ALM 12 7 0 01 Nov 2023
Utilizing Weak Supervision To Generate Indonesian Conservation Dataset Mega Fransiska Diah Pitaloka Saripudin Satrio Putra Lintang Sutawika 11 0 0 17 Oct 2023
Weak Supervision for Label Efficient Visual Bug Detection F. Rahman 11 2 0 20 Sep 2023
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets Ramya Tekumalla Juan M. Banda 11 6 0 12 Sep 2023
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler Zhijun Chen Hailong Sun Wanhao Zhang Chunyi Xu Qianren Mao Pengpeng Chen BDL 15 6 0 10 Sep 2023
VideoPro: A Visual Analytics Approach for Interactive Video Programming Jianben He Xingbo Wang Kamkwai Wong Xijie Huang Changjian Chen Zixin Chen Fengjie Wang Min Zhu Huamin Qu 15 10 0 01 Aug 2023
RACH-Space: Reconstructing Adaptive Convex Hull Space with Applications in Weak Supervision Woojoo Na Abiy Tasissa 16 0 0 10 Jul 2023
AQuA: A Benchmarking Tool for Label Quality Assessment Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan Chalisa Udompanyawit Artur Dubrawski 21 8 0 15 Jun 2023
Local Boosting for Weakly-Supervised Learning Rongzhi Zhang Yue Yu Jiaming Shen Xiquan Cui Chao Zhang WSOL 26 2 0 05 Jun 2023
Improved Active Multi-Task Representation Learning via Lasso Yiping Wang Yifang Chen Kevin G. Jamieson S. Du 10 11 0 05 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 48 1 0 02 Jun 2023
Alfred: A System for Prompted Weak Supervision Peilin Yu Stephen H. Bach 11 7 0 29 May 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning D. Zhu Xiaoyu Shen Marius Mosbach Andreas Stephan Dietrich Klakow NoLa 20 9 0 27 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 8 12 0 22 May 2023
DataComp: In search of the next generation of multimodal datasets S. Gadre Gabriel Ilharco Alex Fang J. Hayase Georgios Smyrnis ... A. Dimakis J. Jitsev Y. Carmon Vaishaal Shankar Ludwig Schmidt VLM 15 404 0 27 Apr 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 11 2 0 30 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 6 188 0 17 Mar 2023
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents Bradley Butcher Miri Zilka Darren Cook Jiri Hron Adrian Weller 14 2 0 18 Feb 2023
Unsupervised classification to improve the quality of a bird song recording dataset Félix Michaud J. Sueur Maxime LE Cesne S. Haupert 15 28 0 15 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 15 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 25 1 0 30 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 21 13 0 13 Dec 2022
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models Yichao Zhou James Bradley Wendt Navneet Potti Jing Xie Sandeep Tata VLM 11 1 0 28 Oct 2022
Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch Hao Zhang Qian Yang Fei Wang Volodymyr Kuleshov 17 0 0 17 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 13 3 0 06 Oct 2022
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision Jieyu Zhang Linxin Song Alexander Ratner 47 8 0 06 Oct 2022
Unsupervised Model Selection for Time-series Anomaly Detection Mononito Goswami Cristian Challu Laurent Callot Lenon Minorics Andrey Kan OOD 11 19 0 03 Oct 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach Yue Yu Rongzhi Zhang Ran Xu Jieyu Zhang Jiaming Shen Chao Zhang 39 21 0 15 Sep 2022
Binary Classification with Positive Labeling Sources Jieyu Zhang Yujing Wang Yaming Yang Yang Luo Alexander Ratner 13 4 0 02 Aug 2022
Learning Hyper Label Model for Programmatic Weak Supervision Renzhi Wu Sheng Chen Jieyu Zhang Xu Chu 12 16 0 27 Jul 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 8 0 0 03 Jun 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function Jieyu Zhang Hong Wang Cheng-Yu Hsieh Alexander Ratner TDI 24 9 0 25 May 2022