Data Programming: Creating Large Training Sets, Quickly

25 May 2016

Alexander Ratner

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

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Title
Weak Supervision for Affordable Modeling of Electrocardiogram Data Mononito Goswami Benedikt Boecking A. Dubrawski 19 16 0 09 Jan 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 38 33 0 14 Dec 2021
What can Data-Centric AI Learn from Data and ML Engineering? N. Polyzotis Matei A. Zaharia AI4CE 9 50 0 13 Dec 2021
Universalizing Weak Supervision Changho Shin Winfred Li Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 21 30 0 07 Dec 2021
Evaluation of mathematical questioning strategies using data collected through weak supervision Debajyoti Datta Maria Phillips J. Bywater Jennifer L. Chiu G. Watson Laura E. Barnes Donald E. Brown 24 3 0 02 Dec 2021
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis Albert Tseng Jennifer J. Sun Yisong Yue 41 9 0 30 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 55 56 0 08 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 39 32 0 26 Oct 2021
Creating Training Sets via Weak Indirect Supervision Jieyu Zhang Bohan Wang Xiangchen Song Yujing Wang Yaming Yang Jing Bai Alexander Ratner OffRL 54 17 0 07 Oct 2021
Weakly-supervised Text Classification Based on Keyword Graph Lu Zhang Jiandong Ding Yi Xu Yingyao Liu Shuigeng Zhou OffRL OOD 44 56 0 06 Oct 2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health Andrew Lee Jonathan K. Kummerfeld Lawrence C. An Rada Mihalcea 38 24 0 28 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming Ayush Maheshwari Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer Marina Danilevsky Lucian Popa 38 16 0 23 Sep 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 22 111 0 23 Sep 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration Gabriel Recchia 28 22 0 05 Sep 2021
Pattern-based Acquisition of Scientific Entities from Scholarly Article Titles Jennifer D'Souza Soeren Auer 30 11 0 01 Sep 2021
ComSum: Commit Messages Summarization and Meaning Preservation Leshem Choshen Idan Amit 17 4 0 23 Aug 2021
Declarative Machine Learning Systems Piero Molino Christopher Ré AI4TS 24 19 0 16 Jul 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 33 40 0 05 Jul 2021
Learning Slice-Aware Representations with Mixture of Attentions Cheng Wang Sungjin Lee Sunghyun Park Han Li Young-Bum Kim R. Sarikaya 29 2 0 04 Jun 2021
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations Weixin Liang Kai-Hui Liang Zhou Yu 42 15 0 01 Jun 2021
Automating Data Science: Prospects and Challenges Tijl De Bie Luc de Raedt José Hernández-Orallo Holger H. Hoos Padhraic Smyth C. Williams 8 36 0 12 May 2021
Active WeaSuL: Improving Weak Supervision with Active Learning Samantha Biegel Rafah El-Khatib Luiz Otavio Vilas Boas Oliveira M. Baak N. Aben 21 20 0 30 Apr 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 12 65 0 17 Apr 2021
Follow Your Nose -- Which Code Smells are Worth Chasing? Idan Amit Nili Ben Ezra D. Feitelson 17 5 0 02 Mar 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models Soya Park A. Wang B. Kawas Q. V. Liao David Piorkowski Marina Danilevsky 66 55 0 29 Jan 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 31 19 0 24 Jan 2021
A System for Automated Open-Source Threat Intelligence Gathering and Management Peng Gao Xiaoyuan Liu E. Choi Bhavna Soman Chinmaya Mishra K. Farris D. Song 41 29 0 19 Jan 2021
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling Benedikt Boecking Willie Neiswanger Eric Xing A. Dubrawski NoLa OffRL 23 68 0 11 Dec 2020
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence Wiebke Toussaint Aaron Yi Ding 35 11 0 01 Dec 2020
Task Programming: Learning Data Efficient Behavior Representations Jennifer J. Sun Ann Kennedy Eric Zhan David J. Anderson Yisong Yue Pietro Perona 26 48 0 27 Nov 2020
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence Peng Gao Fei Shao Xiaoyuan Liu Xusheng Xiao Zheng Qin Fengyuan Xu Prateek Mittal Sanjeev R. Kulkarni D. Song 6 85 0 26 Oct 2020
Effective Distant Supervision for Temporal Relation Extraction Xinyu Zhao Shih-Ting Lin Greg Durrett 17 22 0 24 Oct 2020
SURF: Improving classifiers in production by learning from busy and noisy end users J. Lockhart Samuel A. Assefa Ayham Alajdad Andrew Alexander T. Balch Manuela Veloso NoLa 19 488 0 12 Oct 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 36 70 0 09 Oct 2020
Constrained Labeling for Weakly Supervised Learning Chidubem Arachie Bert Huang 31 17 0 15 Sep 2020
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions Sara Evensen Chang Ge Dongjin Choi cCaugatay Demiralp 31 8 0 03 Sep 2020
Ontology-driven weak supervision for clinical entity classification in electronic health records Jason Alan Fries E. Steinberg S. Khattar Scott L. Fleming J. Posada A. Callahan N. Shah 21 72 0 05 Aug 2020
Visual Relationship Detection using Scene Graphs: A Survey Aniket Agarwal Ayush Mangal Vipul GNN 25 20 0 16 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 24 34 0 02 May 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 31 0 20 Apr 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 19 26 0 11 Apr 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 14 11 0 18 Mar 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information Esther Rolf Michael I. Jordan Benjamin Recht 19 6 0 12 Mar 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 34 111 0 27 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 43 32 0 19 Feb 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 40 104 0 11 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Deep Bidirectional Transformers for Relation Extraction without Supervision Yannis Papanikolaou Ian Roberts Andrea Pierleoni ViT 17 21 0 01 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 43 674 0 31 Oct 2019
Multi-Resolution Weak Supervision for Sequential Data Frederic Sala P. Varma Jason Alan Fries Daniel Y. Fu Shiori Sagawa ... A. Ramamoorthy K. Xiao Kayvon Fatahalian J. Priest Christopher Ré NoLa 22 28 0 21 Oct 2019