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Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised
  Learning

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

16 January 2020
Paola Cascante-Bonilla
Fuwen Tan
Yanjun Qi
Vicente Ordonez
    ODL
ArXivPDFHTML

Papers citing "Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning"

4 / 4 papers shown
Title
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
29
13
0
13 Dec 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in
  Autonomous Driving
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving
L. Yu
Yifan Zhang
Lanqing Hong
Fei Chen
Zhenguo Li
35
3
0
17 Oct 2022
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
31
10
0
23 Nov 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained
  Classification
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Jong-Chyi Su
Zezhou Cheng
Subhransu Maji
17
57
0
01 Apr 2021
1