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Learning from Rules Generalizing Labeled Exemplars

13 April 2020

Papers citing "Learning from Rules Generalizing Labeled Exemplars"

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Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 134 8 0 03 Apr 2025
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media Dung Ha Nguyen Anh Thi Hoang Nguyen Kiet Van Nguyen 39 1 0 30 Sep 2024
Interactive Machine Teaching by Labeling Rules and Instances Giannis Karamanolakis Daniel J. Hsu Luis Gravano 73 1 0 08 Sep 2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 110 4 0 27 Jun 2024
Convergence Behavior of an Adversarial Weak Supervision Method Steven An Sanjoy Dasgupta 52 0 0 25 May 2024
Learning with Logical Constraints but without Shortcut Satisfaction Zenan Li Zehua Liu Yuan Yao Jingwei Xu Taolue Chen Xiaoxing Ma Jian Lu NAI 103 20 0 01 Mar 2024
FAIR: Filtering of Automatically Induced Rules Divya J. Bajpai Ayush Maheshwari M. Hanawal Ganesh Ramakrishnan 70 1 0 23 Feb 2024
ActiveDP: Bridging Active Learning and Data Programming Naiqing Guan Nick Koudas VLM 82 1 0 08 Feb 2024
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision Jinyan Su Peilin Yu Jieyu Zhang Stephen H. Bach 63 2 0 02 Feb 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 79 2 0 16 Dec 2023
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking Zhengyu Hu Jieyu Zhang Yue Yu Yuchen Zhuang Hui Xiong 71 5 0 04 Dec 2023
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images A. Singh Venkatapathy Subramanian Ayush Maheshwari Pradeep Narayan D. P. Shetty Ganesh Ramakrishnan 49 3 0 23 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance Song Wang Zhen Tan Ruocheng Guo Wenlin Yao NoLa 63 23 0 02 Nov 2023
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation Minzhi Li Taiwei Shi Caleb Ziems Min-Yen Kan Nancy F. Chen Zhengyuan Liu Diyi Yang 120 77 0 24 Oct 2023
Pareto Optimal Learning for Estimating Large Language Model Errors Theodore Zhao Mu-Hsin Wei J. S. Preston Hoifung Poon 110 7 0 28 Jun 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision Yuhao Wu Xiaobo Xia Jun Yu Bo Han Gang Niu Masashi Sugiyama Tongliang Liu 90 3 0 12 Jun 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal Anastasiia Sedova Lena Zellinger Benjamin Roth 51 3 0 07 Jun 2023
Local Boosting for Weakly-Supervised Learning Rongzhi Zhang Yue Yu Jiaming Shen Xiquan Cui Chao Zhang WSOL 84 3 0 05 Jun 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling Yuchen Zhuang Yue Yu Lingkai Kong Xiang Chen Chao Zhang NoLa SyDa AI4CE 105 13 0 30 May 2023
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training Yunyi Zhang Minhao Jiang Yu Meng Yu Zhang Jiawei Han NoLa 87 14 0 23 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 107 452 0 27 Apr 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 54 0 0 07 Feb 2023
Learning to Detect Noisy Labels Using Model-Based Features Zhihao Wang Zongyu Lin Peiqi Liu Guidong Zheng Jun-Hao Wen Xianxin Chen Yujun Chen Zhilin Yang NoLa 61 3 0 28 Dec 2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning Wenhao Wu Wei Li Xinyan Xiao Jiachen Liu Sujian Li Yajuan Lv HILM 92 6 0 20 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 134 13 0 13 Dec 2022
SepLL: Separating Latent Class Labels from Weak Supervision Noise Andreas Stephan Vasiliki Kougia Benjamin Roth 46 8 0 25 Oct 2022
Label Propagation with Weak Supervision Rattana Pukdee Dylan Sam Maria-Florina Balcan Pradeep Ravikumar 87 9 0 07 Oct 2022
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction Rongzhi Zhang Rebecca West Xiquan Cui Chao Zhang 100 6 0 28 Jun 2022
Speech Detection Task Against Asian Hate: BERT the Central, While Data-Centric Studies the Crucial Xin Lian 41 1 0 05 Jun 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 35 0 0 03 Jun 2022
Automatic Rule Induction for Interpretable Semi-Supervised Learning Reid Pryzant Ziyi Yang Yichong Xu Chenguang Zhu Michael Zeng 81 10 0 18 May 2022
Meta Self-Refinement for Robust Learning with Weak Supervision D. Zhu Xiaoyu Shen Michael A. Hedderich Dietrich Klakow NoLa 81 7 0 15 May 2022
WeaNF: Weak Supervision with Normalizing Flows Andreas Stephan Benjamin Roth 67 0 0 28 Apr 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision Anastasiia Sedova Benjamin Roth 74 1 0 14 Apr 2022
Label Augmentation with Reinforced Labeling for Weak Supervision Gürkan Solmaz Flavio Cirillo Fabio Maresca A. G. A. Kumar OffRL 44 2 0 13 Apr 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning Rongzhi Zhang Yue Yu Pranav Shetty Le Song Chao Zhang 136 25 0 18 Mar 2022
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming Cheng-Yu Hsieh Jieyu Zhang Alexander Ratner 100 16 0 02 Mar 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 115 93 0 11 Feb 2022
Data Consistency for Weakly Supervised Learning Chidubem Arachie Bert Huang NoLa 70 2 0 08 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 82 5 0 07 Feb 2022
FROTE: Feedback Rule-Driven Oversampling for Editing Models Öznur Alkan Dennis L. Wei Massimiliano Mattetti Rahul Nair Elizabeth M. Daly Diptikalyan Saha 35 8 0 04 Jan 2022
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 96 32 0 26 Oct 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 86 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 93 113 0 23 Sep 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 89 14 0 15 Sep 2021
Knowledge Modelling and Active Learning in Manufacturing Jože M. Rožanec I. Novalija Patrik Zajec K. Kenda Dunja Mladenić AI4CE 49 3 0 05 Jul 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 72 41 0 05 Jul 2021
Learning from Multiple Noisy Partial Labelers Peilin Yu Tiffany Ding Stephen H. Bach NoLa 71 22 0 08 Jun 2021
Active WeaSuL: Improving Weak Supervision with Active Learning Samantha Biegel Rafah El-Khatib Luiz Otavio Vilas Boas Oliveira M. Baak N. Aben 56 20 0 30 Apr 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 65 86 0 12 Apr 2021