SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes

3 November 2023

Papers citing "SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes"

6 / 6 papers shown

Title
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 63 42 0 03 Jul 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 177 256 0 15 May 2022
Dense Gaussian Processes for Few-Shot Segmentation Joakim Johnander Johan Edstedt M. Felsberg F. Khan Martin Danelljan 59 30 0 07 Oct 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 46 21 0 20 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015