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Statistical and Algorithmic Insights for Semi-supervised Learning with
  Self-training

Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training

19 June 2020
Samet Oymak
Talha Cihad Gulcu
ArXivPDFHTML

Papers citing "Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training"

4 / 4 papers shown
Title
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
48
1
0
17 Jun 2024
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
M. Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
39
22
0
21 Jan 2022
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
31
51
0
11 Jun 2021
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
230
789
0
26 Aug 2019
1