Learning Hyper Label Model for Programmatic Weak Supervision

Learning Hyper Label Model for Programmatic Weak Supervision

27 July 2022

Papers citing "Learning Hyper Label Model for Programmatic Weak Supervision"

15 / 15 papers shown

Title
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 57 0 0 16 Jun 2024
Convergence Behavior of an Adversarial Weak Supervision Method Steven An Sanjoy Dasgupta 23 0 0 25 May 2024
Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance Chau Nguyen Le-Minh Nguyen ELM AILaw AI4MH 36 1 0 31 Jan 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 27 1 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 26 5 0 04 Dec 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation Wen Wu Wenlin Chen C. Zhang P. Woodland 15 1 0 30 Sep 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification Neel Guha Mayee F. Chen Kush S. Bhatia Azalia Mirhoseini Frederic Sala Christopher Ré 26 4 0 20 Jul 2023
RACH-Space: Reconstructing Adaptive Convex Hull Space with Applications in Weak Supervision Woojoo Na Abiy Tasissa 21 0 0 10 Jul 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Shikun Li Xiaobo Xia Jiankang Deng Shiming Ge Tongliang Liu 22 15 0 05 Jun 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 29 12 0 22 May 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 29 2 0 30 Mar 2023
Ground Truth Inference for Weakly Supervised Entity Matching Renzhi Wu Alexander Bendeck Xu Chu Yeye He 23 8 0 13 Nov 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function Jieyu Zhang Hong Wang Cheng-Yu Hsieh Alexander Ratner TDI 40 9 0 25 May 2022
Learning to be a Statistician: Learned Estimator for Number of Distinct Values Renzhi Wu Bolin Ding Xu Chu Zhewei Wei Xiening Dai Tao Guan Jingren Zhou 9 11 0 06 Feb 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016