Revisiting Deep Semi-supervised Learning: An Empirical Distribution
Alignment Framework and Its Generalization Bound

Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound

13 March 2022

Luc Van Gool

Papers citing "Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound"

4 / 4 papers shown

Title
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 241 509 0 15 Jan 2021
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 202 243 0 14 Jun 2018
SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek Alhussein Fawzi Stefano Soatto BDL 30 19 0 02 May 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016