Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results

26 August 2019

Papers citing "Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results"

5 / 5 papers shown

Title
Can semi-supervised learning use all the data effectively? A lower bound perspective Alexandru cTifrea Gizem Yüce Amartya Sanyal Fanny Yang 46 3 0 30 Nov 2023
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift Gholamali Aminian Mahed Abroshan Mohammad Mahdi Khalili Laura Toni M. Rodrigues OOD 33 27 0 24 Feb 2022
Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Tian Xu Lei Shang Jinxing Ye Qi Qian Yu-Feng Li Baigui Sun Hao Li Rong Jin 47 218 0 01 Sep 2021
Metric learning by Similarity Network for Deep Semi-Supervised Learning Sanyou Wu Xingdong Feng Fan Zhou 24 4 0 29 Apr 2020
Semi-Supervised Learning, Causality and the Conditional Cluster Assumption Julius von Kügelgen A. Mey Marco Loog Bernhard Schölkopf CML 11 24 0 28 May 2019