Training Subset Selection for Weak Supervision

Training Subset Selection for Weak Supervision

6 June 2022

Aravindan Vijayaraghavan

Papers citing "Training Subset Selection for Weak Supervision"

17 / 17 papers shown

Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data Julian Rodemann James Bailie SSL 53 1 0 12 May 2025
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Mucong Ding Bang An Yuancheng Xu Anirudh Satheesh Furong Huang 24 1 0 03 Oct 2024
Reciprocal Learning Julian Rodemann Christoph Jansen G. Schollmeyer FedML 37 0 0 12 Aug 2024
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 25 20 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 32 3 0 07 May 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 27 1 0 16 Dec 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification Neel Guha Mayee F. Chen Kush S. Bhatia Azalia Mirhoseini Frederic Sala Christopher Ré 29 4 0 20 Jul 2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction Hejie Cui Rongmei Lin Nasser Zalmout Chenwei Zhang Jingbo Shang Carl Yang Xian Li VLM 15 4 0 01 Jun 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval Yue Yu Yuchen Zhuang Rongzhi Zhang Yu Meng Jiaming Shen Chao Zhang VLM 35 33 0 18 May 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 29 2 0 30 Mar 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis Fotis Iliopoulos Khoa Trinh Cenk Baykal Gaurav Menghani Erik Vee 16 7 0 08 Feb 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 19 23 0 10 Jan 2023
Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch Hao Zhang Qian Yang Fei Wang Volodymyr Kuleshov 36 0 0 17 Oct 2022
Large Language Models are Few-Shot Clinical Information Extractors Monica Agrawal S. Hegselmann Hunter Lang Yoon Kim David Sontag BDL LM&MA 162 334 0 25 May 2022
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision Mayee F. Chen Daniel Y. Fu Dyah Adila Michael Zhang Frederic Sala Kayvon Fatahalian Christopher Ré 27 20 0 24 Mar 2022
Co-training Improves Prompt-based Learning for Large Language Models Hunter Lang Monica Agrawal Yoon Kim David Sontag VLM LRM 164 39 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,657 0 15 Oct 2021