Data Programming: Creating Large Training Sets, Quickly

25 May 2016

Alexander Ratner

Papers citing "Data Programming: Creating Large Training Sets, Quickly"

50 / 126 papers shown

Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision Tzu-Heng Huang Catherine Cao Spencer Schoenberg Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 142 5 0 17 Feb 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 93 5 0 05 Dec 2024
Language Model Preference Evaluation with Multiple Weak Evaluators Zhengyu Hu Jieyu Zhang Zhihan Xiong Alexander Ratner Hui Xiong Ranjay Krishna 51 3 0 14 Oct 2024
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 58 5 0 09 Oct 2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 52 4 0 27 Jun 2024
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators Tzu-Heng Huang Catherine Cao Vaishnavi Bhargava Frederic Sala 40 3 0 25 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 32 21 0 25 May 2024
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision Yunyi Zhang Ruozhen Yang Xueqiang Xu Rui Li Jinfeng Xiao Jiaming Shen Jiawei Han 45 11 0 29 Feb 2024
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision Daniel Hajialigol Hanwen Liu Xuan Wang VLM 21 5 0 31 Oct 2023
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming Chufan Gao Xulin Fan Jimeng Sun Xuan Wang 29 4 0 13 Oct 2023
Rapid Image Labeling via Neuro-Symbolic Learning Yifeng Wang Zhi Tu Yiwen Xiang Shiyuan Zhou Xiyuan Chen Bingxuan Li Tianyi Zhang VLM 45 6 0 18 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 73 1 0 02 Jun 2023
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities Priyanka Kargupta Tanay Komarlu Susik Yoon Xuan Wang Jiawei Han 41 8 0 04 Apr 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 34 6 0 25 Mar 2023
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data Shenghan Zhang Haoxuan Li Ruixiang Tang Sirui Ding L. Rasmy Degui Zhi Na Zou Xia Hu 31 5 0 19 Mar 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 26 0 0 19 Feb 2023
Unsupervised classification to improve the quality of a bird song recording dataset Félix Michaud J. Sueur Maxime LE Cesne S. Haupert 27 28 0 15 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 27 0 0 07 Feb 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 25 68 0 12 Jan 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 34 1 0 30 Dec 2022
Resonant Anomaly Detection with Multiple Reference Datasets Mayee F. Chen Benjamin Nachman Frederic Sala 27 5 0 20 Dec 2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning Wenhao Wu Wei Li Xinyan Xiao Jiachen Liu Sujian Li Yajuan Lv HILM 31 4 0 20 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 37 13 0 13 Dec 2022
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 Harit Vishwakarma Heguang Lin Frederic Sala Ramya Korlakai Vinayak 34 9 0 22 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 32 12 0 09 Nov 2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl J. Flynn Aritra Guha S. Majumdar D. Srivastava Zhen-Xiong Zhou 27 0 0 08 Nov 2022
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization Thomas Effland Michael Collins 38 6 0 17 Oct 2022
Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch Hao Zhang Qian Yang Fei Wang Volodymyr Kuleshov 44 0 0 17 Oct 2022
Label Propagation with Weak Supervision Rattana Pukdee Dylan Sam Maria-Florina Balcan Pradeep Ravikumar 40 9 0 07 Oct 2022
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 Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 235 208 0 05 Oct 2022
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 38 7 0 30 Aug 2022
Weak Supervision in Analysis of News: Application to Economic Policy Uncertainty Paul Trust A. Zahran R. Minghim 19 0 0 10 Aug 2022
Learning Hyper Label Model for Programmatic Weak Supervision Renzhi Wu Sheng Chen Jieyu Zhang Xu Chu 26 16 0 27 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe Willie Neiswanger P. Xie Eric P. Xing AI4CE 31 30 0 05 Jul 2022
Firenze: Model Evaluation Using Weak Signals Bhavna Soman A. Torkamani Michael J. Morais Jeffrey Bickford Baris Coskun 35 2 0 02 Jul 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision Ehsan Qasemi Piyush Khanna Qiang Ning Muhao Chen ReLM LRM 30 8 0 16 Jun 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 16 21 0 06 Jun 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 25 0 0 03 Jun 2022
Who is we? Disambiguating the referents of first person plural pronouns in parliamentary debates Ines Rehbein Josef Ruppenhofer J. Bernauer 11 3 0 27 May 2022
Scim: Intelligent Skimming Support for Scientific Papers Raymond Fok Hita Kambhamettu Luca Soldaini Jonathan Bragg Kyle Lo Andrew Head Marti A. Hearst Daniel S. Weld 20 37 0 09 May 2022
Language Models in the Loop: Incorporating Prompting into Weak Supervision Ryan Smith Jason Alan Fries Braden Hancock Stephen H. Bach 53 53 0 04 May 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification D. Zhu Michael A. Hedderich Fangzhou Zhai David Ifeoluwa Adelani Dietrich Klakow NoLa 35 32 0 20 Apr 2022
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision Sam Preston Mu-Hsin Wei Rajesh Rao Robert Tinn Naoto Usuyama ... Paul D. Tittel Naveen Valluri Tristan Naumann Carlo Bifulco Hoifung Poon 23 6 0 20 Mar 2022
Resolving label uncertainty with implicit posterior models Esther Rolf Nikolay Malkin Alexandros Graikos A. Jojic Caleb Robinson Nebojsa Jojic UQCV 36 10 0 28 Feb 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 31 0 0 26 Feb 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 32 91 0 11 Feb 2022
Data Consistency for Weakly Supervised Learning Chidubem Arachie Bert Huang NoLa 24 2 0 08 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 29 5 0 07 Feb 2022