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AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data

AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data

14 June 2022
Amin Banitalebi-Dehkordi
Pratik Gujjar
Yong Zhang
    SSL
ArXivPDFHTML

Papers citing "AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data"

5 / 5 papers shown
Title
Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
Akram Shojaei
Mehdi Delrobaei
19
0
0
24 Apr 2025
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
33
52
0
16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
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
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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